Obesity pegged as source of marked increased risk of diabetes in PCOS

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The increased risk of type 2 diabetes in women with polycystic ovary syndrome is well established, but a new analysis has shown that obesity is the major mediator and a target for preventing or reversing this comorbidity.

rumruay/Shutterstock

“Most women with PCOS are obese, complicating the effort to understand whether high rates of diabetes in this population are due to PCOS or excess weight, but our study now suggest that obesity isa targetable risk factor,” reported Panagiotis Anagnostis, MD, PhD, a reproductive endocrinologist at the Medical School of Aristotle University, Thessaloniki, Greece.

Obesity is also a known risk factor for type 2 diabetes (T2D), but there is reason to suspect that PCOS, which is associated with abnormal carbohydrate metabolism, has a direct impact on the risk of developing T2D, according to Dr. Anagnostis. It is also reasonable to expect “a synergistic deleterious effect” from PCOS and obesity on adverse changes in glucose metabolism that lead to T2D.

Even though rates of obesity among women with PCOS reach 80% in some studies, Dr. Anagnostis attempted to disentangle the relationship between obesity, PCOS, and risk of T2D using a large set of data drawn from a comprehensive search of published studies.

After screening with predefined criteria, 12 studies provided data on 224,284 women, of whom 45,361 had PCOS and 5,717 had T2D. Not least of the criteria for inclusion in this analysis, all studies stratified women as obese, defined as a body mass index (BMI) greater than 30 kg/m2, or nonobese, he reported at the annual meeting of the Endocrine Society.



Diabetes risk tripled in PCOS

When compared without regard to BMI, the relative risk of having T2D among those with PCOS relative to those without this condition was more than three times greater (RR 3.13; P < .001). When women with PCOS were stratified for BMI, obesity was associated with a more than fourfold increased risk relative to controls without PCOS (RR, 4.06; P < .001).

In women who were nonobese, the risk of T2D was numerically higher for those with PCOS than those without (RR, 2.68), but it was only a trend with a large confidence interval (95% confidence interval, 0.97-7.49).

Among women with PCOS, those who were obese also had a more than fourfold and highly significant increased risk of T2D relative to those who were not obese (RR, 4.20; P < .001).

The message from these data is that obesity is a major and potentially modifiable risk factor for diabetes in women with PCOS, according to Dr. Anagnostis.

He said these data provide the basis for recommending weight loss specifically for managing this common PCOS comorbidity.

Almost the same relative risk of diabetes was derived from an analysis of a women’s health database published 2 years ago in Diabetes Care. In that study with 1,916 person-years of follow-up, the hazard ratio for T2D was also more than three times greater (HR, 3.23; P < .001) for those with PCOS relative to those without the syndrome.

However, normal BMI did not eliminate risk of developing diabetes in this study. Rather, the relative risk of T2D in women with PCOS was higher in those of normal weight, compared with those who were obese (HR, 4.68 vs. 2.36; P < .005). The investigators recommend screening all women with PCOS at least every 3 years with more frequent screening in those with risk factors.



PCOS complexity challenges simple conclusions

The complexity of disturbed metabolic pathways in patients with PCOS and obesity might explain some of the difficulty in unraveling the relationship between these two disease states and diabetes risk. In one recent review, it was suggested that obesity and PCOS share interrelated adverse effects on glucose metabolism. As a result, these associations are “more complex than a simple cause-and-effect process.” the authors of that article concluded.

Furthermore, in their examination of metabolic pathways, genetic susceptibility, and behavioral factors that might link PCOS, weight gain, and T2D, the authors did not ignore the psychological impact of PCOS in causing obesity and, as a byproduct, diabetes. These psychological factors might be relevant to treatment.

For example, depression and stress “might hamper ongoing attempts at lifestyle change and therefore effective weight loss” in at least some women, they cautioned.

However, in encouraging weight loss in overweight women with PCOS, the debate about cause of T2D might be moot in practical terms, according to Michael Dansinger, MD, founding director of the diabetes reversal program at Tufts Medical Center, Boston.

“Reducing excess body fat reduces the risk of type 2 diabetes,” Dr. Dansinger said in an interview. “Since women with obesity and PCOS are clearly at risk for future type 2 diabetes, that’s another reason to lose excess body fat through healthy eating and exercise.”

Dr. Anagnostis and Dr. Dansinger reported no relevant conflicts of interest.

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The increased risk of type 2 diabetes in women with polycystic ovary syndrome is well established, but a new analysis has shown that obesity is the major mediator and a target for preventing or reversing this comorbidity.

rumruay/Shutterstock

“Most women with PCOS are obese, complicating the effort to understand whether high rates of diabetes in this population are due to PCOS or excess weight, but our study now suggest that obesity isa targetable risk factor,” reported Panagiotis Anagnostis, MD, PhD, a reproductive endocrinologist at the Medical School of Aristotle University, Thessaloniki, Greece.

Obesity is also a known risk factor for type 2 diabetes (T2D), but there is reason to suspect that PCOS, which is associated with abnormal carbohydrate metabolism, has a direct impact on the risk of developing T2D, according to Dr. Anagnostis. It is also reasonable to expect “a synergistic deleterious effect” from PCOS and obesity on adverse changes in glucose metabolism that lead to T2D.

Even though rates of obesity among women with PCOS reach 80% in some studies, Dr. Anagnostis attempted to disentangle the relationship between obesity, PCOS, and risk of T2D using a large set of data drawn from a comprehensive search of published studies.

After screening with predefined criteria, 12 studies provided data on 224,284 women, of whom 45,361 had PCOS and 5,717 had T2D. Not least of the criteria for inclusion in this analysis, all studies stratified women as obese, defined as a body mass index (BMI) greater than 30 kg/m2, or nonobese, he reported at the annual meeting of the Endocrine Society.



Diabetes risk tripled in PCOS

When compared without regard to BMI, the relative risk of having T2D among those with PCOS relative to those without this condition was more than three times greater (RR 3.13; P < .001). When women with PCOS were stratified for BMI, obesity was associated with a more than fourfold increased risk relative to controls without PCOS (RR, 4.06; P < .001).

In women who were nonobese, the risk of T2D was numerically higher for those with PCOS than those without (RR, 2.68), but it was only a trend with a large confidence interval (95% confidence interval, 0.97-7.49).

Among women with PCOS, those who were obese also had a more than fourfold and highly significant increased risk of T2D relative to those who were not obese (RR, 4.20; P < .001).

The message from these data is that obesity is a major and potentially modifiable risk factor for diabetes in women with PCOS, according to Dr. Anagnostis.

He said these data provide the basis for recommending weight loss specifically for managing this common PCOS comorbidity.

Almost the same relative risk of diabetes was derived from an analysis of a women’s health database published 2 years ago in Diabetes Care. In that study with 1,916 person-years of follow-up, the hazard ratio for T2D was also more than three times greater (HR, 3.23; P < .001) for those with PCOS relative to those without the syndrome.

However, normal BMI did not eliminate risk of developing diabetes in this study. Rather, the relative risk of T2D in women with PCOS was higher in those of normal weight, compared with those who were obese (HR, 4.68 vs. 2.36; P < .005). The investigators recommend screening all women with PCOS at least every 3 years with more frequent screening in those with risk factors.



PCOS complexity challenges simple conclusions

The complexity of disturbed metabolic pathways in patients with PCOS and obesity might explain some of the difficulty in unraveling the relationship between these two disease states and diabetes risk. In one recent review, it was suggested that obesity and PCOS share interrelated adverse effects on glucose metabolism. As a result, these associations are “more complex than a simple cause-and-effect process.” the authors of that article concluded.

Furthermore, in their examination of metabolic pathways, genetic susceptibility, and behavioral factors that might link PCOS, weight gain, and T2D, the authors did not ignore the psychological impact of PCOS in causing obesity and, as a byproduct, diabetes. These psychological factors might be relevant to treatment.

For example, depression and stress “might hamper ongoing attempts at lifestyle change and therefore effective weight loss” in at least some women, they cautioned.

However, in encouraging weight loss in overweight women with PCOS, the debate about cause of T2D might be moot in practical terms, according to Michael Dansinger, MD, founding director of the diabetes reversal program at Tufts Medical Center, Boston.

“Reducing excess body fat reduces the risk of type 2 diabetes,” Dr. Dansinger said in an interview. “Since women with obesity and PCOS are clearly at risk for future type 2 diabetes, that’s another reason to lose excess body fat through healthy eating and exercise.”

Dr. Anagnostis and Dr. Dansinger reported no relevant conflicts of interest.

The increased risk of type 2 diabetes in women with polycystic ovary syndrome is well established, but a new analysis has shown that obesity is the major mediator and a target for preventing or reversing this comorbidity.

rumruay/Shutterstock

“Most women with PCOS are obese, complicating the effort to understand whether high rates of diabetes in this population are due to PCOS or excess weight, but our study now suggest that obesity isa targetable risk factor,” reported Panagiotis Anagnostis, MD, PhD, a reproductive endocrinologist at the Medical School of Aristotle University, Thessaloniki, Greece.

Obesity is also a known risk factor for type 2 diabetes (T2D), but there is reason to suspect that PCOS, which is associated with abnormal carbohydrate metabolism, has a direct impact on the risk of developing T2D, according to Dr. Anagnostis. It is also reasonable to expect “a synergistic deleterious effect” from PCOS and obesity on adverse changes in glucose metabolism that lead to T2D.

Even though rates of obesity among women with PCOS reach 80% in some studies, Dr. Anagnostis attempted to disentangle the relationship between obesity, PCOS, and risk of T2D using a large set of data drawn from a comprehensive search of published studies.

After screening with predefined criteria, 12 studies provided data on 224,284 women, of whom 45,361 had PCOS and 5,717 had T2D. Not least of the criteria for inclusion in this analysis, all studies stratified women as obese, defined as a body mass index (BMI) greater than 30 kg/m2, or nonobese, he reported at the annual meeting of the Endocrine Society.



Diabetes risk tripled in PCOS

When compared without regard to BMI, the relative risk of having T2D among those with PCOS relative to those without this condition was more than three times greater (RR 3.13; P < .001). When women with PCOS were stratified for BMI, obesity was associated with a more than fourfold increased risk relative to controls without PCOS (RR, 4.06; P < .001).

In women who were nonobese, the risk of T2D was numerically higher for those with PCOS than those without (RR, 2.68), but it was only a trend with a large confidence interval (95% confidence interval, 0.97-7.49).

Among women with PCOS, those who were obese also had a more than fourfold and highly significant increased risk of T2D relative to those who were not obese (RR, 4.20; P < .001).

The message from these data is that obesity is a major and potentially modifiable risk factor for diabetes in women with PCOS, according to Dr. Anagnostis.

He said these data provide the basis for recommending weight loss specifically for managing this common PCOS comorbidity.

Almost the same relative risk of diabetes was derived from an analysis of a women’s health database published 2 years ago in Diabetes Care. In that study with 1,916 person-years of follow-up, the hazard ratio for T2D was also more than three times greater (HR, 3.23; P < .001) for those with PCOS relative to those without the syndrome.

However, normal BMI did not eliminate risk of developing diabetes in this study. Rather, the relative risk of T2D in women with PCOS was higher in those of normal weight, compared with those who were obese (HR, 4.68 vs. 2.36; P < .005). The investigators recommend screening all women with PCOS at least every 3 years with more frequent screening in those with risk factors.



PCOS complexity challenges simple conclusions

The complexity of disturbed metabolic pathways in patients with PCOS and obesity might explain some of the difficulty in unraveling the relationship between these two disease states and diabetes risk. In one recent review, it was suggested that obesity and PCOS share interrelated adverse effects on glucose metabolism. As a result, these associations are “more complex than a simple cause-and-effect process.” the authors of that article concluded.

Furthermore, in their examination of metabolic pathways, genetic susceptibility, and behavioral factors that might link PCOS, weight gain, and T2D, the authors did not ignore the psychological impact of PCOS in causing obesity and, as a byproduct, diabetes. These psychological factors might be relevant to treatment.

For example, depression and stress “might hamper ongoing attempts at lifestyle change and therefore effective weight loss” in at least some women, they cautioned.

However, in encouraging weight loss in overweight women with PCOS, the debate about cause of T2D might be moot in practical terms, according to Michael Dansinger, MD, founding director of the diabetes reversal program at Tufts Medical Center, Boston.

“Reducing excess body fat reduces the risk of type 2 diabetes,” Dr. Dansinger said in an interview. “Since women with obesity and PCOS are clearly at risk for future type 2 diabetes, that’s another reason to lose excess body fat through healthy eating and exercise.”

Dr. Anagnostis and Dr. Dansinger reported no relevant conflicts of interest.

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High-intensity interval training cuts cardiometabolic risks in women with PCOS

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High-intensity interval training (HIIT) was better than moderate-intensity continuous training (MICT) for improving several measures of cardiometabolic health in women with polycystic ovary syndrome (PCOS) in a prospective, randomized, single-center study with 27 women.

yacobchuk/Getty Images

After 12 weeks on a supervised exercise regimen, the women with PCOS who followed the HIIT program had significantly better improvements in aerobic capacity, insulin sensitivity, and level of sex hormone–binding globulin, Rhiannon K. Patten, MSc, said at the annual meeting of the Endocrine Society.

“HIIT can offer superior improvements in health outcomes, and should be considered as an effective tool to reduce cardiometabolic risk in women with PCOS,” concluded Ms. Patten, a researcher in the Institute for Health and Sport at Victoria University in Melbourne in her presentation (Abstract OR10-1).

“The changes we see [after 12 weeks on the HIIT regimen] seem to occur despite no change in body mass index, so rather than focus on weight loss we encourage participants to focus on the health improvements that seem to be greater with HIIT. We actively encourage the HIIT protocol right now,” she said.

Both regimens use a stationary cycle ergometer. In the HIIT protocol patients twice weekly pedal through 12 1-minute intervals at a heart rate of 90%-100% maximum, interspersed with 1 minute rest intervals. On a third day per week, patients pedal to a heart rate of 90%-95% maximum for 6-8 intervals maintained for 2 minutes and interspersed with rest intervals of 2 minutes. The MICT regimen used as a comparator has participants pedal to 60%-70% of their maximum heart rate continuously for 50 minutes 3 days weekly.



HIIT saves time

“These findings are relevant to clinical practice, because they demonstrate that HIIT is effective in women with PCOS. Reducing the time devoted to exercise to achieve fitness goals is attractive to patients. The reduced time to achieve training benefits with HIIT should improve patient compliance,” commented Andrea Dunaif, MD, professor and chief of the division of endocrinology, diabetes, and bone disease of the Mount Sinai Health System in New York, who was not involved with the study.

The overall weekly exercise time on the MICT regimen, 150 minutes, halves down to 75 minutes a week in the HIIT program. Guideline recommendations released in 2018 by the International PCOS Network recommended these as acceptable alternative exercise strategies. Ms. Patten and her associates sought to determine whether one strategy surpassed the other, the first time this has been examined in women with PCOS, she said.

They randomized 27 sedentary women 18-45 years old with a body mass index (BMI) above 25 kg/m2 and diagnosed with PCOS by the Rotterdam criteria to a 12-week supervised exercise program on either the HIIT or MICT protocol. Their average BMI at entry was 36-37 kg/m2. The study excluded women who smoked, were pregnant, had an illness or injury that would prevent exercise, or were on an oral contraceptive or insulin-sensitizing medication.

At the end of 12 weeks, neither group had a significant change in average weight or BMI, and waist circumference dropped by an average of just over 2 cm in both treatment groups. Lean mass increased by a mean 1 kg in the HIIT group, a significant change, compared with a nonsignificant 0.3 kg average increase in the MICT group.
 

 

 

 

Increased aerobic capacity ‘partially explains’ improved insulin sensitivity

Aerobic capacity, measured as peak oxygen consumption (VO2peak), increased by an average 5.7 mL/kg per min among the HIIT patients, significantly more than the mean 3.2 mL/kg per min increase among those in the MICT program.

The insulin sensitivity index rose by a significant, relative 35% among the HIIT patients, but barely budged in the MICT group. Fasting glucose fell significantly and the glucose infusion rate increased significantly among the women who performed HIIT, but again showed little change among those doing MICT.

Analysis showed a significant link between the increase in VO2peak and the increase in insulin sensitivity among the women engaged in HIIT, Ms. Patten reported. The improvement in the insulin sensitivity index was “partially explained” by the increase in VO2peak, she said.



Assessment of hormone levels showed a significant increase in sex hormone–binding globulin in the HIIT patients while those in the MICT group showed a small decline in this level. The free androgen index fell by a relative 39% on average in the HIIT group, a significant drop, but decreased by a much smaller and not significant amount among the women who did MICT. The women who performed HIIT also showed a significant drop in their free testosterone level, a change not seen with MICT.

Women who performed the HIIT protocol also had a significant improvement in their menstrual cyclicity, and significant improvements in depression, stress, and anxiety, Ms Patten reported. She next plans to do longer follow-up on study participants, out to 6 and 12 months after the end of the exercise protocol.

“Overall, the findings suggest that HIIT is superior to MICT for improving fitness and insulin sensitivity in the short term. Results from a number of studies in individuals without PCOS suggest that HIIT is superior to MICT for improving fitness short term,” commented Dr. Dunaif. “This study makes an important contribution by directly investigating the impact of training intensity in women with PCOS. Larger studies will be needed before the superiority of HIIT is established for women with PCOS, and study durations of at least several months will be needed to assess the impact on reproductive outcomes such as ovulation,” she said in an interview. She also called for assessing the effects of HIIT in more diverse populations of women with PCOS.

Ms. Patten had no disclosures. Dr. Dunaif has been a consultant to Equator Therapeutics, Fractyl Laboratories, and Globe Life Sciences.

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High-intensity interval training (HIIT) was better than moderate-intensity continuous training (MICT) for improving several measures of cardiometabolic health in women with polycystic ovary syndrome (PCOS) in a prospective, randomized, single-center study with 27 women.

yacobchuk/Getty Images

After 12 weeks on a supervised exercise regimen, the women with PCOS who followed the HIIT program had significantly better improvements in aerobic capacity, insulin sensitivity, and level of sex hormone–binding globulin, Rhiannon K. Patten, MSc, said at the annual meeting of the Endocrine Society.

“HIIT can offer superior improvements in health outcomes, and should be considered as an effective tool to reduce cardiometabolic risk in women with PCOS,” concluded Ms. Patten, a researcher in the Institute for Health and Sport at Victoria University in Melbourne in her presentation (Abstract OR10-1).

“The changes we see [after 12 weeks on the HIIT regimen] seem to occur despite no change in body mass index, so rather than focus on weight loss we encourage participants to focus on the health improvements that seem to be greater with HIIT. We actively encourage the HIIT protocol right now,” she said.

Both regimens use a stationary cycle ergometer. In the HIIT protocol patients twice weekly pedal through 12 1-minute intervals at a heart rate of 90%-100% maximum, interspersed with 1 minute rest intervals. On a third day per week, patients pedal to a heart rate of 90%-95% maximum for 6-8 intervals maintained for 2 minutes and interspersed with rest intervals of 2 minutes. The MICT regimen used as a comparator has participants pedal to 60%-70% of their maximum heart rate continuously for 50 minutes 3 days weekly.



HIIT saves time

“These findings are relevant to clinical practice, because they demonstrate that HIIT is effective in women with PCOS. Reducing the time devoted to exercise to achieve fitness goals is attractive to patients. The reduced time to achieve training benefits with HIIT should improve patient compliance,” commented Andrea Dunaif, MD, professor and chief of the division of endocrinology, diabetes, and bone disease of the Mount Sinai Health System in New York, who was not involved with the study.

The overall weekly exercise time on the MICT regimen, 150 minutes, halves down to 75 minutes a week in the HIIT program. Guideline recommendations released in 2018 by the International PCOS Network recommended these as acceptable alternative exercise strategies. Ms. Patten and her associates sought to determine whether one strategy surpassed the other, the first time this has been examined in women with PCOS, she said.

They randomized 27 sedentary women 18-45 years old with a body mass index (BMI) above 25 kg/m2 and diagnosed with PCOS by the Rotterdam criteria to a 12-week supervised exercise program on either the HIIT or MICT protocol. Their average BMI at entry was 36-37 kg/m2. The study excluded women who smoked, were pregnant, had an illness or injury that would prevent exercise, or were on an oral contraceptive or insulin-sensitizing medication.

At the end of 12 weeks, neither group had a significant change in average weight or BMI, and waist circumference dropped by an average of just over 2 cm in both treatment groups. Lean mass increased by a mean 1 kg in the HIIT group, a significant change, compared with a nonsignificant 0.3 kg average increase in the MICT group.
 

 

 

 

Increased aerobic capacity ‘partially explains’ improved insulin sensitivity

Aerobic capacity, measured as peak oxygen consumption (VO2peak), increased by an average 5.7 mL/kg per min among the HIIT patients, significantly more than the mean 3.2 mL/kg per min increase among those in the MICT program.

The insulin sensitivity index rose by a significant, relative 35% among the HIIT patients, but barely budged in the MICT group. Fasting glucose fell significantly and the glucose infusion rate increased significantly among the women who performed HIIT, but again showed little change among those doing MICT.

Analysis showed a significant link between the increase in VO2peak and the increase in insulin sensitivity among the women engaged in HIIT, Ms. Patten reported. The improvement in the insulin sensitivity index was “partially explained” by the increase in VO2peak, she said.



Assessment of hormone levels showed a significant increase in sex hormone–binding globulin in the HIIT patients while those in the MICT group showed a small decline in this level. The free androgen index fell by a relative 39% on average in the HIIT group, a significant drop, but decreased by a much smaller and not significant amount among the women who did MICT. The women who performed HIIT also showed a significant drop in their free testosterone level, a change not seen with MICT.

Women who performed the HIIT protocol also had a significant improvement in their menstrual cyclicity, and significant improvements in depression, stress, and anxiety, Ms Patten reported. She next plans to do longer follow-up on study participants, out to 6 and 12 months after the end of the exercise protocol.

“Overall, the findings suggest that HIIT is superior to MICT for improving fitness and insulin sensitivity in the short term. Results from a number of studies in individuals without PCOS suggest that HIIT is superior to MICT for improving fitness short term,” commented Dr. Dunaif. “This study makes an important contribution by directly investigating the impact of training intensity in women with PCOS. Larger studies will be needed before the superiority of HIIT is established for women with PCOS, and study durations of at least several months will be needed to assess the impact on reproductive outcomes such as ovulation,” she said in an interview. She also called for assessing the effects of HIIT in more diverse populations of women with PCOS.

Ms. Patten had no disclosures. Dr. Dunaif has been a consultant to Equator Therapeutics, Fractyl Laboratories, and Globe Life Sciences.

High-intensity interval training (HIIT) was better than moderate-intensity continuous training (MICT) for improving several measures of cardiometabolic health in women with polycystic ovary syndrome (PCOS) in a prospective, randomized, single-center study with 27 women.

yacobchuk/Getty Images

After 12 weeks on a supervised exercise regimen, the women with PCOS who followed the HIIT program had significantly better improvements in aerobic capacity, insulin sensitivity, and level of sex hormone–binding globulin, Rhiannon K. Patten, MSc, said at the annual meeting of the Endocrine Society.

“HIIT can offer superior improvements in health outcomes, and should be considered as an effective tool to reduce cardiometabolic risk in women with PCOS,” concluded Ms. Patten, a researcher in the Institute for Health and Sport at Victoria University in Melbourne in her presentation (Abstract OR10-1).

“The changes we see [after 12 weeks on the HIIT regimen] seem to occur despite no change in body mass index, so rather than focus on weight loss we encourage participants to focus on the health improvements that seem to be greater with HIIT. We actively encourage the HIIT protocol right now,” she said.

Both regimens use a stationary cycle ergometer. In the HIIT protocol patients twice weekly pedal through 12 1-minute intervals at a heart rate of 90%-100% maximum, interspersed with 1 minute rest intervals. On a third day per week, patients pedal to a heart rate of 90%-95% maximum for 6-8 intervals maintained for 2 minutes and interspersed with rest intervals of 2 minutes. The MICT regimen used as a comparator has participants pedal to 60%-70% of their maximum heart rate continuously for 50 minutes 3 days weekly.



HIIT saves time

“These findings are relevant to clinical practice, because they demonstrate that HIIT is effective in women with PCOS. Reducing the time devoted to exercise to achieve fitness goals is attractive to patients. The reduced time to achieve training benefits with HIIT should improve patient compliance,” commented Andrea Dunaif, MD, professor and chief of the division of endocrinology, diabetes, and bone disease of the Mount Sinai Health System in New York, who was not involved with the study.

The overall weekly exercise time on the MICT regimen, 150 minutes, halves down to 75 minutes a week in the HIIT program. Guideline recommendations released in 2018 by the International PCOS Network recommended these as acceptable alternative exercise strategies. Ms. Patten and her associates sought to determine whether one strategy surpassed the other, the first time this has been examined in women with PCOS, she said.

They randomized 27 sedentary women 18-45 years old with a body mass index (BMI) above 25 kg/m2 and diagnosed with PCOS by the Rotterdam criteria to a 12-week supervised exercise program on either the HIIT or MICT protocol. Their average BMI at entry was 36-37 kg/m2. The study excluded women who smoked, were pregnant, had an illness or injury that would prevent exercise, or were on an oral contraceptive or insulin-sensitizing medication.

At the end of 12 weeks, neither group had a significant change in average weight or BMI, and waist circumference dropped by an average of just over 2 cm in both treatment groups. Lean mass increased by a mean 1 kg in the HIIT group, a significant change, compared with a nonsignificant 0.3 kg average increase in the MICT group.
 

 

 

 

Increased aerobic capacity ‘partially explains’ improved insulin sensitivity

Aerobic capacity, measured as peak oxygen consumption (VO2peak), increased by an average 5.7 mL/kg per min among the HIIT patients, significantly more than the mean 3.2 mL/kg per min increase among those in the MICT program.

The insulin sensitivity index rose by a significant, relative 35% among the HIIT patients, but barely budged in the MICT group. Fasting glucose fell significantly and the glucose infusion rate increased significantly among the women who performed HIIT, but again showed little change among those doing MICT.

Analysis showed a significant link between the increase in VO2peak and the increase in insulin sensitivity among the women engaged in HIIT, Ms. Patten reported. The improvement in the insulin sensitivity index was “partially explained” by the increase in VO2peak, she said.



Assessment of hormone levels showed a significant increase in sex hormone–binding globulin in the HIIT patients while those in the MICT group showed a small decline in this level. The free androgen index fell by a relative 39% on average in the HIIT group, a significant drop, but decreased by a much smaller and not significant amount among the women who did MICT. The women who performed HIIT also showed a significant drop in their free testosterone level, a change not seen with MICT.

Women who performed the HIIT protocol also had a significant improvement in their menstrual cyclicity, and significant improvements in depression, stress, and anxiety, Ms Patten reported. She next plans to do longer follow-up on study participants, out to 6 and 12 months after the end of the exercise protocol.

“Overall, the findings suggest that HIIT is superior to MICT for improving fitness and insulin sensitivity in the short term. Results from a number of studies in individuals without PCOS suggest that HIIT is superior to MICT for improving fitness short term,” commented Dr. Dunaif. “This study makes an important contribution by directly investigating the impact of training intensity in women with PCOS. Larger studies will be needed before the superiority of HIIT is established for women with PCOS, and study durations of at least several months will be needed to assess the impact on reproductive outcomes such as ovulation,” she said in an interview. She also called for assessing the effects of HIIT in more diverse populations of women with PCOS.

Ms. Patten had no disclosures. Dr. Dunaif has been a consultant to Equator Therapeutics, Fractyl Laboratories, and Globe Life Sciences.

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Women with PCOS at increased risk for COVID-19

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Women with polycystic ovary syndrome (PCOS) face an almost 30% increased risk for COVID-19 compared with unaffected women, even after adjusting for cardiometabolic and other related factors, suggests an analysis of United Kingdom primary care data.

“Our research has highlighted that women with PCOS are an often overlooked and potentially high-risk population for contracting COVID-19,” said joint senior author Wiebke Arlt, MD, PhD, director of the Institute of Metabolism and Systems Research at the University of Birmingham (England), in a press release.

“Before the onset of the COVID-19 pandemic, women with PCOS consistently report fragmented care, delayed diagnosis and a perception of poor clinician understanding of their condition,” added co-author Michael W. O’Reilly, MD, PhD, University of Medicine and Health Sciences, Dublin.

“Women suffering from this condition may fear, with some degree of justification, that an enhanced risk of COVID-19 infection will further compromise timely access to health care and serve to increase the sense of disenfranchisement currently experienced by many patients,” he added.

Consequently, “these findings need to be considered when designing public health policy and advice as our understanding of COVID-19 evolves,” noted first author Anuradhaa Subramanian, PhD Student, Institute of Applied Health Research, University of Birmingham.

The research was published by the European Journal of Endocrinology on March 9.
 

Women with PCOS: A distinct subgroup?

PCOS, which is thought to affect up to 16% of women, is associated with a significantly increased risk for type 2 diabetes, non-alcoholic fatty liver disease, and cardiovascular disease, all which have been linked to more severe COVID-19.

The condition is more prevalent in Black and South Asian women, who also appear to have an increased risk for severe COVID-19 vs. their White counterparts.

However, women and younger people in general have a lower overall risk for severe COVID-19 and mortality compared with older people and men.

Women with PCOS may therefore “represent a distinct subgroup of women at higher than average [on the basis of their sex and age] risk of adverse COVID-19–related outcomes,” the researchers note.

To investigate further, they collated data from The Health Improvement Network primary care database, which includes information from 365 active general practices in the U.K. for the period Jan. 31, 2020, to July 22, 2020.

They identified women with PCOS or a coded diagnosis of polycystic ovaries (PCO), and then for each woman randomly selected four unaffected controls matched for age and general practice location.

They included 21,292 women with PCOS/PCO and 78,310 controls, who had a mean age at study entry of 39.3 years and 39.5 years, respectively. The mean age at diagnosis of PCOS was 27 years, and the mean duration of the condition was 12.4 years.

The crude incidence of COVID-19 was 18.1 per 1000 person-years among women with PCOS vs. 11.9 per 1000 person-years in those without.

Cox regression analysis adjusted for age indicated that women with PCOS faced a significantly increased risk for COVID-19 than those without, at a hazard ratio of 1.51 (P < .001).

Further adjustment for body mass index (BMI) and age reduced the hazard ratio to 1.36 (P = .001).

In the fully adjusted model, which also took into account impaired glucose regulation, androgen excessanovulationhypertension, and other PCOS-related factors, the hazard ratio remained significant, at 1.28 (P = .015).
 

 

 

For shielding, balance benefits with impact on mental health

Joint senior author Krishnarajah Nirantharakumar, MD, PhD, also of the University of Birmingham, commented that, despite the increased risks, shielding strategies for COVID-19 need to take into account the impact of PCOS on women’s mental health.

“The risk of mental health problems, including low self-esteem, anxiety, and depression, is significantly higher in women with PCOS,” he said, “and advice on strict adherence to social distancing needs to be tempered by the associated risk of exacerbating these underlying problems.”

Arlt also pointed out that the study only looked at the incidence of COVID-19 infection, rather than outcomes.

“Our study does not provide information on the risk of a severe course of the COVID-19 infection or on the risk of COVID-19–related long-term complications [in women with PCOS], and further research is required,” she concluded.

The study was funded by Health Data Research UK and supported by the Wellcome Trust, the Health Research Board, and the National Institute for Health Research Birmingham Biomedical Research Centre based at the University of Birmingham and University Hospitals Birmingham NHS Foundation Trust. The study authors have disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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Women with polycystic ovary syndrome (PCOS) face an almost 30% increased risk for COVID-19 compared with unaffected women, even after adjusting for cardiometabolic and other related factors, suggests an analysis of United Kingdom primary care data.

“Our research has highlighted that women with PCOS are an often overlooked and potentially high-risk population for contracting COVID-19,” said joint senior author Wiebke Arlt, MD, PhD, director of the Institute of Metabolism and Systems Research at the University of Birmingham (England), in a press release.

“Before the onset of the COVID-19 pandemic, women with PCOS consistently report fragmented care, delayed diagnosis and a perception of poor clinician understanding of their condition,” added co-author Michael W. O’Reilly, MD, PhD, University of Medicine and Health Sciences, Dublin.

“Women suffering from this condition may fear, with some degree of justification, that an enhanced risk of COVID-19 infection will further compromise timely access to health care and serve to increase the sense of disenfranchisement currently experienced by many patients,” he added.

Consequently, “these findings need to be considered when designing public health policy and advice as our understanding of COVID-19 evolves,” noted first author Anuradhaa Subramanian, PhD Student, Institute of Applied Health Research, University of Birmingham.

The research was published by the European Journal of Endocrinology on March 9.
 

Women with PCOS: A distinct subgroup?

PCOS, which is thought to affect up to 16% of women, is associated with a significantly increased risk for type 2 diabetes, non-alcoholic fatty liver disease, and cardiovascular disease, all which have been linked to more severe COVID-19.

The condition is more prevalent in Black and South Asian women, who also appear to have an increased risk for severe COVID-19 vs. their White counterparts.

However, women and younger people in general have a lower overall risk for severe COVID-19 and mortality compared with older people and men.

Women with PCOS may therefore “represent a distinct subgroup of women at higher than average [on the basis of their sex and age] risk of adverse COVID-19–related outcomes,” the researchers note.

To investigate further, they collated data from The Health Improvement Network primary care database, which includes information from 365 active general practices in the U.K. for the period Jan. 31, 2020, to July 22, 2020.

They identified women with PCOS or a coded diagnosis of polycystic ovaries (PCO), and then for each woman randomly selected four unaffected controls matched for age and general practice location.

They included 21,292 women with PCOS/PCO and 78,310 controls, who had a mean age at study entry of 39.3 years and 39.5 years, respectively. The mean age at diagnosis of PCOS was 27 years, and the mean duration of the condition was 12.4 years.

The crude incidence of COVID-19 was 18.1 per 1000 person-years among women with PCOS vs. 11.9 per 1000 person-years in those without.

Cox regression analysis adjusted for age indicated that women with PCOS faced a significantly increased risk for COVID-19 than those without, at a hazard ratio of 1.51 (P < .001).

Further adjustment for body mass index (BMI) and age reduced the hazard ratio to 1.36 (P = .001).

In the fully adjusted model, which also took into account impaired glucose regulation, androgen excessanovulationhypertension, and other PCOS-related factors, the hazard ratio remained significant, at 1.28 (P = .015).
 

 

 

For shielding, balance benefits with impact on mental health

Joint senior author Krishnarajah Nirantharakumar, MD, PhD, also of the University of Birmingham, commented that, despite the increased risks, shielding strategies for COVID-19 need to take into account the impact of PCOS on women’s mental health.

“The risk of mental health problems, including low self-esteem, anxiety, and depression, is significantly higher in women with PCOS,” he said, “and advice on strict adherence to social distancing needs to be tempered by the associated risk of exacerbating these underlying problems.”

Arlt also pointed out that the study only looked at the incidence of COVID-19 infection, rather than outcomes.

“Our study does not provide information on the risk of a severe course of the COVID-19 infection or on the risk of COVID-19–related long-term complications [in women with PCOS], and further research is required,” she concluded.

The study was funded by Health Data Research UK and supported by the Wellcome Trust, the Health Research Board, and the National Institute for Health Research Birmingham Biomedical Research Centre based at the University of Birmingham and University Hospitals Birmingham NHS Foundation Trust. The study authors have disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Women with polycystic ovary syndrome (PCOS) face an almost 30% increased risk for COVID-19 compared with unaffected women, even after adjusting for cardiometabolic and other related factors, suggests an analysis of United Kingdom primary care data.

“Our research has highlighted that women with PCOS are an often overlooked and potentially high-risk population for contracting COVID-19,” said joint senior author Wiebke Arlt, MD, PhD, director of the Institute of Metabolism and Systems Research at the University of Birmingham (England), in a press release.

“Before the onset of the COVID-19 pandemic, women with PCOS consistently report fragmented care, delayed diagnosis and a perception of poor clinician understanding of their condition,” added co-author Michael W. O’Reilly, MD, PhD, University of Medicine and Health Sciences, Dublin.

“Women suffering from this condition may fear, with some degree of justification, that an enhanced risk of COVID-19 infection will further compromise timely access to health care and serve to increase the sense of disenfranchisement currently experienced by many patients,” he added.

Consequently, “these findings need to be considered when designing public health policy and advice as our understanding of COVID-19 evolves,” noted first author Anuradhaa Subramanian, PhD Student, Institute of Applied Health Research, University of Birmingham.

The research was published by the European Journal of Endocrinology on March 9.
 

Women with PCOS: A distinct subgroup?

PCOS, which is thought to affect up to 16% of women, is associated with a significantly increased risk for type 2 diabetes, non-alcoholic fatty liver disease, and cardiovascular disease, all which have been linked to more severe COVID-19.

The condition is more prevalent in Black and South Asian women, who also appear to have an increased risk for severe COVID-19 vs. their White counterparts.

However, women and younger people in general have a lower overall risk for severe COVID-19 and mortality compared with older people and men.

Women with PCOS may therefore “represent a distinct subgroup of women at higher than average [on the basis of their sex and age] risk of adverse COVID-19–related outcomes,” the researchers note.

To investigate further, they collated data from The Health Improvement Network primary care database, which includes information from 365 active general practices in the U.K. for the period Jan. 31, 2020, to July 22, 2020.

They identified women with PCOS or a coded diagnosis of polycystic ovaries (PCO), and then for each woman randomly selected four unaffected controls matched for age and general practice location.

They included 21,292 women with PCOS/PCO and 78,310 controls, who had a mean age at study entry of 39.3 years and 39.5 years, respectively. The mean age at diagnosis of PCOS was 27 years, and the mean duration of the condition was 12.4 years.

The crude incidence of COVID-19 was 18.1 per 1000 person-years among women with PCOS vs. 11.9 per 1000 person-years in those without.

Cox regression analysis adjusted for age indicated that women with PCOS faced a significantly increased risk for COVID-19 than those without, at a hazard ratio of 1.51 (P < .001).

Further adjustment for body mass index (BMI) and age reduced the hazard ratio to 1.36 (P = .001).

In the fully adjusted model, which also took into account impaired glucose regulation, androgen excessanovulationhypertension, and other PCOS-related factors, the hazard ratio remained significant, at 1.28 (P = .015).
 

 

 

For shielding, balance benefits with impact on mental health

Joint senior author Krishnarajah Nirantharakumar, MD, PhD, also of the University of Birmingham, commented that, despite the increased risks, shielding strategies for COVID-19 need to take into account the impact of PCOS on women’s mental health.

“The risk of mental health problems, including low self-esteem, anxiety, and depression, is significantly higher in women with PCOS,” he said, “and advice on strict adherence to social distancing needs to be tempered by the associated risk of exacerbating these underlying problems.”

Arlt also pointed out that the study only looked at the incidence of COVID-19 infection, rather than outcomes.

“Our study does not provide information on the risk of a severe course of the COVID-19 infection or on the risk of COVID-19–related long-term complications [in women with PCOS], and further research is required,” she concluded.

The study was funded by Health Data Research UK and supported by the Wellcome Trust, the Health Research Board, and the National Institute for Health Research Birmingham Biomedical Research Centre based at the University of Birmingham and University Hospitals Birmingham NHS Foundation Trust. The study authors have disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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In January, as Mississippi health officials planned for their incoming shipments of COVID-19 vaccine, they assessed the state’s most vulnerable: health care workers, of course, and elderly people in nursing homes. But among those who needed urgent protection from the virus ripping across the Magnolia State were 1 million Mississippians with obesity.

Obesity and weight-related illnesses have been deadly liabilities in the COVID era. A report released this month by the World Obesity Federation found that increased body weight is the second-greatest predictor of COVID-related hospitalization and death across the globe, trailing only old age as a risk factor.

As a fixture of life in the American South – home to 9 of the nation’s 12 heaviest states – obesity is playing a role not only in COVID outcomes, but in the calculus of the vaccination rollout. Mississippi was one of the first states to add a body mass index of 30 or more (a rough gauge of obesity tied to height and weight) to the list of qualifying medical conditions for a shot. About 40% of the state’s adults meet that definition, according to federal health survey data, and combined with the risk group already eligible for vaccination – residents 65 and older – that means fully half of Mississippi’s adults are entitled to vie for a restricted allotment of shots.

At least 29 states have green-lighted obesity for inclusion in the first phases of the vaccine rollout, according to KFF – a vast widening of eligibility that has the potential to overwhelm government efforts and heighten competition for scarce doses.

“We have a lifesaving intervention, and we don’t have enough of it,” said Jen Kates, PhD, director of global health and HIV policy for Kaiser Family Foundation. “Hard choices are being made about who should go first, and there is no right answer.”

The sheer prevalence of obesity in the nation – two in three Americans exceed what is considered a healthy weight – was a public health concern well before the pandemic. But COVID-19 dramatically fast-tracked the discussion from warnings about the long-term damage excess fat tissue can pose to heart, lung and metabolic functions to far more immediate threats.

In the United Kingdom, for example, overweight COVID patients were 67% more likely to require intensive care, and obese patients three times likelier, according to the World Obesity Federation report. A Centers for Disease Control and Prevention study released Monday found a similar trend among U.S. patients and noted that the risk of COVID-related hospitalization, ventilation and death increased with patients’ obesity level.

The counties that hug the southern Mississippi River are home to some of the most concentrated pockets of extreme obesity in the United States. Coronavirus infections began surging in Southern states early last summer, and hospitalizations rose in step.

Deaths in rural stretches of Arkansas, Louisiana, Mississippi, and Tennessee have been overshadowed by the sheer number of deaths in metropolitan areas like New York, Los Angeles, and Essex County, N.J. But as a share of the population, the coronavirus has been similarly unsparing in many Southern communities. In sparsely populated Claiborne County, Miss., on the floodplains of the Mississippi River, 30 residents – about 1 in 300 – had died as of early March. In East Feliciana Parish, La., north of Baton Rouge, with 106 deaths, about 1 in 180 had died by then.

“It’s just math. If the population is more obese and obesity clearly contributes to worse outcomes, then neighborhoods, cities, states and countries that are more obese will have a greater toll from COVID,” said Dr. James de Lemos, MD, a professor of internal medicine at UT Southwestern Medical Center in Dallas who led a study of hospitalized COVID patients published in the medical journal Circulation.

And, because in the U.S. obesity rates tend to be relatively high among African Americans and Latinos who are poor, with diminished access to health care, “it’s a triple whammy,” Dr. de Lemos said. “All these things intersect.”

Poverty and limited access to medical care are common features in the South, where residents like Michelle Antonyshyn, a former registered nurse and mother of seven in Salem, Ark., say they are afraid of the virus. Ms. Antonyshyn, 49, has obesity and debilitating pain in her knees and back, though she does not have high blood pressure or diabetes, two underlying conditions that federal health officials have determined are added risk factors for severe cases of COVID-19.

Still, she said, she “was very concerned just knowing that being obese puts you more at risk for bad outcomes such as being on a ventilator and death.” As a precaution, Ms. Antonyshyn said, she and her large brood locked down early and stopped attending church services in person, watching online instead.

“It’s not the same as having fellowship, but the risk for me was enough,” said Ms. Antonyshyn.

Governors throughout the South seem to recognize that weight can contribute to COVID-19 complications and have pushed for vaccine eligibility rules that prioritize obesity. But on the ground, local health officials are girding for having to tell newly eligible people who qualify as obese that there aren’t enough shots to go around.

In Port Gibson, Miss., Mheja Williams, MD, medical director of the Claiborne County Family Health Center, has been receiving barely enough doses to inoculate the health workers and oldest seniors in her county of 9,600. One week in early February, she received 100 doses.

Obesity and extreme obesity are endemic in Claiborne County, and health officials say the “normalization” of obesity means people often don’t register their weight as a risk factor, whether for COVID or other health issues. The risks are exacerbated by a general flouting of pandemic etiquette: Dr. Williams said that middle-aged and younger residents are not especially vigilant about physical distancing and that mask use is rare.

The rise of obesity in the United States is well documented over the past half-century, as the nation turned from a diet of fruits, vegetables and limited meats to one laden with ultra-processed foods and rich with salt, fat, sugar, and flavorings, along with copious amounts of meat, fast food, and soda. The U.S. has generally led the global obesity race, setting records as even toddlers and young children grew implausibly, dangerously overweight.

Well before COVID, obesity was a leading cause of preventable death in the United States. The National Institutes of Health declared it a disease in 1998, one that fosters heart disease, stroke, type 2 diabetes, and breast, colon, and other cancers.

Researchers say it is no coincidence that nations like the United States, the United Kingdom, and Italy, with relatively high obesity rates, have proved particularly vulnerable to the novel coronavirus.

They believe the virus may exploit underlying metabolic and physiological impairments that often exist in concert with obesity. Extra fat can lead to a cascade of metabolic disruptions, chronic systemic inflammation, and hormonal dysregulation that may thwart the body’s response to infection.

Other respiratory viruses, like influenza and SARS, which appeared in China in 2002, rely on cholesterol to spread enveloped RNA virus to neighboring cells, and researchers have proposed that a similar mechanism may play a role in the spread of the novel coronavirus.

There are also practical problems for coronavirus patients with obesity admitted to the hospital. They can be more difficult to intubate because of excess central weight pressing down on the diaphragm, making breathing with infected lungs even more difficult.

Physicians who specialize in treating patients with obesity say public health officials need to be more forthright and urgent in their messaging, telegraphing the risks of this COVID era.

“It should be explicit and direct,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General Hospital, Boston, and a Harvard Medical School instructor.

Dr. Stanford denounces the fat-shaming and bullying that people with obesity often experience. But telling patients – and the public – that obesity increases the risk of hospitalization and death is crucial, she said.

“I don’t think it’s stigmatizing,” she said. “If you tell them in that way, it’s not to scare you, it’s just giving information. Sometimes people are just unaware.”



KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

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In January, as Mississippi health officials planned for their incoming shipments of COVID-19 vaccine, they assessed the state’s most vulnerable: health care workers, of course, and elderly people in nursing homes. But among those who needed urgent protection from the virus ripping across the Magnolia State were 1 million Mississippians with obesity.

Obesity and weight-related illnesses have been deadly liabilities in the COVID era. A report released this month by the World Obesity Federation found that increased body weight is the second-greatest predictor of COVID-related hospitalization and death across the globe, trailing only old age as a risk factor.

As a fixture of life in the American South – home to 9 of the nation’s 12 heaviest states – obesity is playing a role not only in COVID outcomes, but in the calculus of the vaccination rollout. Mississippi was one of the first states to add a body mass index of 30 or more (a rough gauge of obesity tied to height and weight) to the list of qualifying medical conditions for a shot. About 40% of the state’s adults meet that definition, according to federal health survey data, and combined with the risk group already eligible for vaccination – residents 65 and older – that means fully half of Mississippi’s adults are entitled to vie for a restricted allotment of shots.

At least 29 states have green-lighted obesity for inclusion in the first phases of the vaccine rollout, according to KFF – a vast widening of eligibility that has the potential to overwhelm government efforts and heighten competition for scarce doses.

“We have a lifesaving intervention, and we don’t have enough of it,” said Jen Kates, PhD, director of global health and HIV policy for Kaiser Family Foundation. “Hard choices are being made about who should go first, and there is no right answer.”

The sheer prevalence of obesity in the nation – two in three Americans exceed what is considered a healthy weight – was a public health concern well before the pandemic. But COVID-19 dramatically fast-tracked the discussion from warnings about the long-term damage excess fat tissue can pose to heart, lung and metabolic functions to far more immediate threats.

In the United Kingdom, for example, overweight COVID patients were 67% more likely to require intensive care, and obese patients three times likelier, according to the World Obesity Federation report. A Centers for Disease Control and Prevention study released Monday found a similar trend among U.S. patients and noted that the risk of COVID-related hospitalization, ventilation and death increased with patients’ obesity level.

The counties that hug the southern Mississippi River are home to some of the most concentrated pockets of extreme obesity in the United States. Coronavirus infections began surging in Southern states early last summer, and hospitalizations rose in step.

Deaths in rural stretches of Arkansas, Louisiana, Mississippi, and Tennessee have been overshadowed by the sheer number of deaths in metropolitan areas like New York, Los Angeles, and Essex County, N.J. But as a share of the population, the coronavirus has been similarly unsparing in many Southern communities. In sparsely populated Claiborne County, Miss., on the floodplains of the Mississippi River, 30 residents – about 1 in 300 – had died as of early March. In East Feliciana Parish, La., north of Baton Rouge, with 106 deaths, about 1 in 180 had died by then.

“It’s just math. If the population is more obese and obesity clearly contributes to worse outcomes, then neighborhoods, cities, states and countries that are more obese will have a greater toll from COVID,” said Dr. James de Lemos, MD, a professor of internal medicine at UT Southwestern Medical Center in Dallas who led a study of hospitalized COVID patients published in the medical journal Circulation.

And, because in the U.S. obesity rates tend to be relatively high among African Americans and Latinos who are poor, with diminished access to health care, “it’s a triple whammy,” Dr. de Lemos said. “All these things intersect.”

Poverty and limited access to medical care are common features in the South, where residents like Michelle Antonyshyn, a former registered nurse and mother of seven in Salem, Ark., say they are afraid of the virus. Ms. Antonyshyn, 49, has obesity and debilitating pain in her knees and back, though she does not have high blood pressure or diabetes, two underlying conditions that federal health officials have determined are added risk factors for severe cases of COVID-19.

Still, she said, she “was very concerned just knowing that being obese puts you more at risk for bad outcomes such as being on a ventilator and death.” As a precaution, Ms. Antonyshyn said, she and her large brood locked down early and stopped attending church services in person, watching online instead.

“It’s not the same as having fellowship, but the risk for me was enough,” said Ms. Antonyshyn.

Governors throughout the South seem to recognize that weight can contribute to COVID-19 complications and have pushed for vaccine eligibility rules that prioritize obesity. But on the ground, local health officials are girding for having to tell newly eligible people who qualify as obese that there aren’t enough shots to go around.

In Port Gibson, Miss., Mheja Williams, MD, medical director of the Claiborne County Family Health Center, has been receiving barely enough doses to inoculate the health workers and oldest seniors in her county of 9,600. One week in early February, she received 100 doses.

Obesity and extreme obesity are endemic in Claiborne County, and health officials say the “normalization” of obesity means people often don’t register their weight as a risk factor, whether for COVID or other health issues. The risks are exacerbated by a general flouting of pandemic etiquette: Dr. Williams said that middle-aged and younger residents are not especially vigilant about physical distancing and that mask use is rare.

The rise of obesity in the United States is well documented over the past half-century, as the nation turned from a diet of fruits, vegetables and limited meats to one laden with ultra-processed foods and rich with salt, fat, sugar, and flavorings, along with copious amounts of meat, fast food, and soda. The U.S. has generally led the global obesity race, setting records as even toddlers and young children grew implausibly, dangerously overweight.

Well before COVID, obesity was a leading cause of preventable death in the United States. The National Institutes of Health declared it a disease in 1998, one that fosters heart disease, stroke, type 2 diabetes, and breast, colon, and other cancers.

Researchers say it is no coincidence that nations like the United States, the United Kingdom, and Italy, with relatively high obesity rates, have proved particularly vulnerable to the novel coronavirus.

They believe the virus may exploit underlying metabolic and physiological impairments that often exist in concert with obesity. Extra fat can lead to a cascade of metabolic disruptions, chronic systemic inflammation, and hormonal dysregulation that may thwart the body’s response to infection.

Other respiratory viruses, like influenza and SARS, which appeared in China in 2002, rely on cholesterol to spread enveloped RNA virus to neighboring cells, and researchers have proposed that a similar mechanism may play a role in the spread of the novel coronavirus.

There are also practical problems for coronavirus patients with obesity admitted to the hospital. They can be more difficult to intubate because of excess central weight pressing down on the diaphragm, making breathing with infected lungs even more difficult.

Physicians who specialize in treating patients with obesity say public health officials need to be more forthright and urgent in their messaging, telegraphing the risks of this COVID era.

“It should be explicit and direct,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General Hospital, Boston, and a Harvard Medical School instructor.

Dr. Stanford denounces the fat-shaming and bullying that people with obesity often experience. But telling patients – and the public – that obesity increases the risk of hospitalization and death is crucial, she said.

“I don’t think it’s stigmatizing,” she said. “If you tell them in that way, it’s not to scare you, it’s just giving information. Sometimes people are just unaware.”



KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

In January, as Mississippi health officials planned for their incoming shipments of COVID-19 vaccine, they assessed the state’s most vulnerable: health care workers, of course, and elderly people in nursing homes. But among those who needed urgent protection from the virus ripping across the Magnolia State were 1 million Mississippians with obesity.

Obesity and weight-related illnesses have been deadly liabilities in the COVID era. A report released this month by the World Obesity Federation found that increased body weight is the second-greatest predictor of COVID-related hospitalization and death across the globe, trailing only old age as a risk factor.

As a fixture of life in the American South – home to 9 of the nation’s 12 heaviest states – obesity is playing a role not only in COVID outcomes, but in the calculus of the vaccination rollout. Mississippi was one of the first states to add a body mass index of 30 or more (a rough gauge of obesity tied to height and weight) to the list of qualifying medical conditions for a shot. About 40% of the state’s adults meet that definition, according to federal health survey data, and combined with the risk group already eligible for vaccination – residents 65 and older – that means fully half of Mississippi’s adults are entitled to vie for a restricted allotment of shots.

At least 29 states have green-lighted obesity for inclusion in the first phases of the vaccine rollout, according to KFF – a vast widening of eligibility that has the potential to overwhelm government efforts and heighten competition for scarce doses.

“We have a lifesaving intervention, and we don’t have enough of it,” said Jen Kates, PhD, director of global health and HIV policy for Kaiser Family Foundation. “Hard choices are being made about who should go first, and there is no right answer.”

The sheer prevalence of obesity in the nation – two in three Americans exceed what is considered a healthy weight – was a public health concern well before the pandemic. But COVID-19 dramatically fast-tracked the discussion from warnings about the long-term damage excess fat tissue can pose to heart, lung and metabolic functions to far more immediate threats.

In the United Kingdom, for example, overweight COVID patients were 67% more likely to require intensive care, and obese patients three times likelier, according to the World Obesity Federation report. A Centers for Disease Control and Prevention study released Monday found a similar trend among U.S. patients and noted that the risk of COVID-related hospitalization, ventilation and death increased with patients’ obesity level.

The counties that hug the southern Mississippi River are home to some of the most concentrated pockets of extreme obesity in the United States. Coronavirus infections began surging in Southern states early last summer, and hospitalizations rose in step.

Deaths in rural stretches of Arkansas, Louisiana, Mississippi, and Tennessee have been overshadowed by the sheer number of deaths in metropolitan areas like New York, Los Angeles, and Essex County, N.J. But as a share of the population, the coronavirus has been similarly unsparing in many Southern communities. In sparsely populated Claiborne County, Miss., on the floodplains of the Mississippi River, 30 residents – about 1 in 300 – had died as of early March. In East Feliciana Parish, La., north of Baton Rouge, with 106 deaths, about 1 in 180 had died by then.

“It’s just math. If the population is more obese and obesity clearly contributes to worse outcomes, then neighborhoods, cities, states and countries that are more obese will have a greater toll from COVID,” said Dr. James de Lemos, MD, a professor of internal medicine at UT Southwestern Medical Center in Dallas who led a study of hospitalized COVID patients published in the medical journal Circulation.

And, because in the U.S. obesity rates tend to be relatively high among African Americans and Latinos who are poor, with diminished access to health care, “it’s a triple whammy,” Dr. de Lemos said. “All these things intersect.”

Poverty and limited access to medical care are common features in the South, where residents like Michelle Antonyshyn, a former registered nurse and mother of seven in Salem, Ark., say they are afraid of the virus. Ms. Antonyshyn, 49, has obesity and debilitating pain in her knees and back, though she does not have high blood pressure or diabetes, two underlying conditions that federal health officials have determined are added risk factors for severe cases of COVID-19.

Still, she said, she “was very concerned just knowing that being obese puts you more at risk for bad outcomes such as being on a ventilator and death.” As a precaution, Ms. Antonyshyn said, she and her large brood locked down early and stopped attending church services in person, watching online instead.

“It’s not the same as having fellowship, but the risk for me was enough,” said Ms. Antonyshyn.

Governors throughout the South seem to recognize that weight can contribute to COVID-19 complications and have pushed for vaccine eligibility rules that prioritize obesity. But on the ground, local health officials are girding for having to tell newly eligible people who qualify as obese that there aren’t enough shots to go around.

In Port Gibson, Miss., Mheja Williams, MD, medical director of the Claiborne County Family Health Center, has been receiving barely enough doses to inoculate the health workers and oldest seniors in her county of 9,600. One week in early February, she received 100 doses.

Obesity and extreme obesity are endemic in Claiborne County, and health officials say the “normalization” of obesity means people often don’t register their weight as a risk factor, whether for COVID or other health issues. The risks are exacerbated by a general flouting of pandemic etiquette: Dr. Williams said that middle-aged and younger residents are not especially vigilant about physical distancing and that mask use is rare.

The rise of obesity in the United States is well documented over the past half-century, as the nation turned from a diet of fruits, vegetables and limited meats to one laden with ultra-processed foods and rich with salt, fat, sugar, and flavorings, along with copious amounts of meat, fast food, and soda. The U.S. has generally led the global obesity race, setting records as even toddlers and young children grew implausibly, dangerously overweight.

Well before COVID, obesity was a leading cause of preventable death in the United States. The National Institutes of Health declared it a disease in 1998, one that fosters heart disease, stroke, type 2 diabetes, and breast, colon, and other cancers.

Researchers say it is no coincidence that nations like the United States, the United Kingdom, and Italy, with relatively high obesity rates, have proved particularly vulnerable to the novel coronavirus.

They believe the virus may exploit underlying metabolic and physiological impairments that often exist in concert with obesity. Extra fat can lead to a cascade of metabolic disruptions, chronic systemic inflammation, and hormonal dysregulation that may thwart the body’s response to infection.

Other respiratory viruses, like influenza and SARS, which appeared in China in 2002, rely on cholesterol to spread enveloped RNA virus to neighboring cells, and researchers have proposed that a similar mechanism may play a role in the spread of the novel coronavirus.

There are also practical problems for coronavirus patients with obesity admitted to the hospital. They can be more difficult to intubate because of excess central weight pressing down on the diaphragm, making breathing with infected lungs even more difficult.

Physicians who specialize in treating patients with obesity say public health officials need to be more forthright and urgent in their messaging, telegraphing the risks of this COVID era.

“It should be explicit and direct,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General Hospital, Boston, and a Harvard Medical School instructor.

Dr. Stanford denounces the fat-shaming and bullying that people with obesity often experience. But telling patients – and the public – that obesity increases the risk of hospitalization and death is crucial, she said.

“I don’t think it’s stigmatizing,” she said. “If you tell them in that way, it’s not to scare you, it’s just giving information. Sometimes people are just unaware.”



KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

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Obesity: A ‘double hit’ in pregnant women with heart disease

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Being obese and pregnant raises the risk for cardiac complications in women with preexisting heart disease, new research suggests, highlighting the need for earlier interventions in this high-risk population.

The analysis of 790 pregnancies revealed that 23% of women with obesity, defined as body mass index greater than 30 kg/m2, had a cardiac event during pregnancy versus 14% of women with normal body weight (P = .006).

The difference was driven largely by an increase in heart failure (8% vs. 3%; P = .02), although arrhythmias also trended higher in obese women (14% vs. 10%; P = .19).

Nearly half of the women with obesity and a cardiac event presented in the postpartum period (47%).

In multivariate analysis, both obesity and Canadian Cardiac Disease in Pregnancy Study (CARPREG) II risk score were independent predictors of cardiac events (odds ratios for both, 1.7), the investigators, led by Birgit Pfaller, MD, University of Toronto, reported in the Journal of the American College of Cardiology.

Although obesity has been linked to worse pregnancy outcomes and higher cardiovascular risk after delivery in the general population, the authors noted that this is the first study to examine its effect on outcomes in women with heart disease.

“We wanted to look at this high-risk group of women that had preexisting heart disease, but in addition had obesity, to try and find out if there was a kind of double hit for these women – and that, in the end, is what we found. It’s not just simply having heart disease, not simply having obesity, but the combination that’s problematic,” senior author and cardiologist Candice Silversides, MD, University of Toronto, said in an interview.

The findings are concerning given the rising prevalence of obesity worldwide. National data from 2018 show that slightly more than half of women who gave birth in the United States were significantly overweight or obese before becoming pregnant.

Similarly, in the present analysis of 600 women in the CARPREG study who gave birth from 2004 to 2014, nearly 1 in 5 pregnancies (19%) occurred in women with obesity and 25% were in overweight women.

Obese women were significantly more likely than those without obesity to have coronary artery disease (6% vs. 2%), cardiomyopathies (19% vs. 8%) and left ventricular dysfunction (19% vs. 12%) and to be hypertensive or have a hypertensive disorder of pregnancy (13% vs. 3%).

Preeclampsia developed in 32 women during the index pregnancy and 69% of these women were obese or overweight. Cardiac event rates were similar in women with or without preeclampsia but trended higher in women with preeclampsia with versus without obesity (36% vs. 14%; P = .20).

The ill effects of obesity were also reflected in fetal and neonatal events. Overall, 43% of women with obesity and 33% of normal-weight women had at least one fetal event (P = .02), with higher rates of preterm birth (19% vs. 10%; P = .005) and respiratory distress syndrome (8% vs. 3%; P = .02) in women with obesity. Congenital cardiac malformations were present in 6% of women in both groups.

Taken together, the composite of cardiac events, preeclampsia, or fetal events was significantly more common in women with obesity than in normal-weight women (56% vs. 41%; P = .002).

“We’ve spent the last number of years trying to research and understand what the drivers of these adverse outcomes are in this high-risk pregnant cohort, but on a bigger picture the real issue is how do we start intervening in a meaningful way,” Dr. Silversides said.

Like many in the burgeoning field of cardio-obstetrics, the team proposed a multidisciplinary approach that stresses preconception counseling, educating pregnant women with heart disease and obesity about their risks, ensuring that dietary advice, weight-gain recommendations, and comorbidities are addressed as part of routine care, and providing postpartum surveillance.

Preconception screening “has been the recommendation for a long, long time; it’s just that it doesn’t always happen in reality,” she said. “Many pregnancies aren’t planned and not all women are filtered into preconception counseling. So sometimes you’ll do it at the first antenatal visit and try to ensure women are educated but optimally you want to do it well in advance of pregnancy.”

Part of that preconception counseling “should also include giving them appropriate advice for contraception, if what they want to do is avoid pregnancy,” added Dr. Silversides.

Garima Sharma, MD, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, and colleagues wrote in an accompanying editorial that the adverse events observed in this high-risk cohort have “important implications for cardio-obstetricians and should be incorporated in routine prepregnancy and antenatal counseling, monitoring, and risk stratification for women with existing cardiovascular disease.”

They pointed to a paucity of data incorporating maternal prepregnancy obesity and gestational weight gain in risk prediction and called for larger population-based studies on the additive impact of obesity severity on predicting adverse cardiac events in women with existing cardiovascular disease.

Randomized trials are also urgently needed to evaluate the effect of nutritional and behavioral interventions in pregnancy on short- and long-term outcomes in mother and child.

“As the obesity epidemic continues to grow and public health interventions promoting lifestyle changes for obesity management remain a major challenge, maternal obesity may prove to be the ‘Achilles’ heel’ of sustainable national efforts to reduce maternal mortality and improve health equity. This is a call to action,” Dr. Sharma and colleagues concluded.

The investigators noted that the study was conducted at a single center and used self-reported pregnancy weight collected at the first antenatal visit, which may have underestimated obesity rates. Other limitations are that weight changes over the course of pregnancy were not studied and there was a limited number of women with a body mass index of 40 or higher.

The study was supported by a grant from the Allan E. Tiffin Trust, Toronto General and Western Hospital Foundation, and by a donation from Mrs. Josephine Rogers, Toronto General Hospital. Dr. Silversides is supported by the Miles Nadal Chair in Pregnancy and Heart Disease. Dr. Sharma and colleagues disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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Being obese and pregnant raises the risk for cardiac complications in women with preexisting heart disease, new research suggests, highlighting the need for earlier interventions in this high-risk population.

The analysis of 790 pregnancies revealed that 23% of women with obesity, defined as body mass index greater than 30 kg/m2, had a cardiac event during pregnancy versus 14% of women with normal body weight (P = .006).

The difference was driven largely by an increase in heart failure (8% vs. 3%; P = .02), although arrhythmias also trended higher in obese women (14% vs. 10%; P = .19).

Nearly half of the women with obesity and a cardiac event presented in the postpartum period (47%).

In multivariate analysis, both obesity and Canadian Cardiac Disease in Pregnancy Study (CARPREG) II risk score were independent predictors of cardiac events (odds ratios for both, 1.7), the investigators, led by Birgit Pfaller, MD, University of Toronto, reported in the Journal of the American College of Cardiology.

Although obesity has been linked to worse pregnancy outcomes and higher cardiovascular risk after delivery in the general population, the authors noted that this is the first study to examine its effect on outcomes in women with heart disease.

“We wanted to look at this high-risk group of women that had preexisting heart disease, but in addition had obesity, to try and find out if there was a kind of double hit for these women – and that, in the end, is what we found. It’s not just simply having heart disease, not simply having obesity, but the combination that’s problematic,” senior author and cardiologist Candice Silversides, MD, University of Toronto, said in an interview.

The findings are concerning given the rising prevalence of obesity worldwide. National data from 2018 show that slightly more than half of women who gave birth in the United States were significantly overweight or obese before becoming pregnant.

Similarly, in the present analysis of 600 women in the CARPREG study who gave birth from 2004 to 2014, nearly 1 in 5 pregnancies (19%) occurred in women with obesity and 25% were in overweight women.

Obese women were significantly more likely than those without obesity to have coronary artery disease (6% vs. 2%), cardiomyopathies (19% vs. 8%) and left ventricular dysfunction (19% vs. 12%) and to be hypertensive or have a hypertensive disorder of pregnancy (13% vs. 3%).

Preeclampsia developed in 32 women during the index pregnancy and 69% of these women were obese or overweight. Cardiac event rates were similar in women with or without preeclampsia but trended higher in women with preeclampsia with versus without obesity (36% vs. 14%; P = .20).

The ill effects of obesity were also reflected in fetal and neonatal events. Overall, 43% of women with obesity and 33% of normal-weight women had at least one fetal event (P = .02), with higher rates of preterm birth (19% vs. 10%; P = .005) and respiratory distress syndrome (8% vs. 3%; P = .02) in women with obesity. Congenital cardiac malformations were present in 6% of women in both groups.

Taken together, the composite of cardiac events, preeclampsia, or fetal events was significantly more common in women with obesity than in normal-weight women (56% vs. 41%; P = .002).

“We’ve spent the last number of years trying to research and understand what the drivers of these adverse outcomes are in this high-risk pregnant cohort, but on a bigger picture the real issue is how do we start intervening in a meaningful way,” Dr. Silversides said.

Like many in the burgeoning field of cardio-obstetrics, the team proposed a multidisciplinary approach that stresses preconception counseling, educating pregnant women with heart disease and obesity about their risks, ensuring that dietary advice, weight-gain recommendations, and comorbidities are addressed as part of routine care, and providing postpartum surveillance.

Preconception screening “has been the recommendation for a long, long time; it’s just that it doesn’t always happen in reality,” she said. “Many pregnancies aren’t planned and not all women are filtered into preconception counseling. So sometimes you’ll do it at the first antenatal visit and try to ensure women are educated but optimally you want to do it well in advance of pregnancy.”

Part of that preconception counseling “should also include giving them appropriate advice for contraception, if what they want to do is avoid pregnancy,” added Dr. Silversides.

Garima Sharma, MD, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, and colleagues wrote in an accompanying editorial that the adverse events observed in this high-risk cohort have “important implications for cardio-obstetricians and should be incorporated in routine prepregnancy and antenatal counseling, monitoring, and risk stratification for women with existing cardiovascular disease.”

They pointed to a paucity of data incorporating maternal prepregnancy obesity and gestational weight gain in risk prediction and called for larger population-based studies on the additive impact of obesity severity on predicting adverse cardiac events in women with existing cardiovascular disease.

Randomized trials are also urgently needed to evaluate the effect of nutritional and behavioral interventions in pregnancy on short- and long-term outcomes in mother and child.

“As the obesity epidemic continues to grow and public health interventions promoting lifestyle changes for obesity management remain a major challenge, maternal obesity may prove to be the ‘Achilles’ heel’ of sustainable national efforts to reduce maternal mortality and improve health equity. This is a call to action,” Dr. Sharma and colleagues concluded.

The investigators noted that the study was conducted at a single center and used self-reported pregnancy weight collected at the first antenatal visit, which may have underestimated obesity rates. Other limitations are that weight changes over the course of pregnancy were not studied and there was a limited number of women with a body mass index of 40 or higher.

The study was supported by a grant from the Allan E. Tiffin Trust, Toronto General and Western Hospital Foundation, and by a donation from Mrs. Josephine Rogers, Toronto General Hospital. Dr. Silversides is supported by the Miles Nadal Chair in Pregnancy and Heart Disease. Dr. Sharma and colleagues disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

 

Being obese and pregnant raises the risk for cardiac complications in women with preexisting heart disease, new research suggests, highlighting the need for earlier interventions in this high-risk population.

The analysis of 790 pregnancies revealed that 23% of women with obesity, defined as body mass index greater than 30 kg/m2, had a cardiac event during pregnancy versus 14% of women with normal body weight (P = .006).

The difference was driven largely by an increase in heart failure (8% vs. 3%; P = .02), although arrhythmias also trended higher in obese women (14% vs. 10%; P = .19).

Nearly half of the women with obesity and a cardiac event presented in the postpartum period (47%).

In multivariate analysis, both obesity and Canadian Cardiac Disease in Pregnancy Study (CARPREG) II risk score were independent predictors of cardiac events (odds ratios for both, 1.7), the investigators, led by Birgit Pfaller, MD, University of Toronto, reported in the Journal of the American College of Cardiology.

Although obesity has been linked to worse pregnancy outcomes and higher cardiovascular risk after delivery in the general population, the authors noted that this is the first study to examine its effect on outcomes in women with heart disease.

“We wanted to look at this high-risk group of women that had preexisting heart disease, but in addition had obesity, to try and find out if there was a kind of double hit for these women – and that, in the end, is what we found. It’s not just simply having heart disease, not simply having obesity, but the combination that’s problematic,” senior author and cardiologist Candice Silversides, MD, University of Toronto, said in an interview.

The findings are concerning given the rising prevalence of obesity worldwide. National data from 2018 show that slightly more than half of women who gave birth in the United States were significantly overweight or obese before becoming pregnant.

Similarly, in the present analysis of 600 women in the CARPREG study who gave birth from 2004 to 2014, nearly 1 in 5 pregnancies (19%) occurred in women with obesity and 25% were in overweight women.

Obese women were significantly more likely than those without obesity to have coronary artery disease (6% vs. 2%), cardiomyopathies (19% vs. 8%) and left ventricular dysfunction (19% vs. 12%) and to be hypertensive or have a hypertensive disorder of pregnancy (13% vs. 3%).

Preeclampsia developed in 32 women during the index pregnancy and 69% of these women were obese or overweight. Cardiac event rates were similar in women with or without preeclampsia but trended higher in women with preeclampsia with versus without obesity (36% vs. 14%; P = .20).

The ill effects of obesity were also reflected in fetal and neonatal events. Overall, 43% of women with obesity and 33% of normal-weight women had at least one fetal event (P = .02), with higher rates of preterm birth (19% vs. 10%; P = .005) and respiratory distress syndrome (8% vs. 3%; P = .02) in women with obesity. Congenital cardiac malformations were present in 6% of women in both groups.

Taken together, the composite of cardiac events, preeclampsia, or fetal events was significantly more common in women with obesity than in normal-weight women (56% vs. 41%; P = .002).

“We’ve spent the last number of years trying to research and understand what the drivers of these adverse outcomes are in this high-risk pregnant cohort, but on a bigger picture the real issue is how do we start intervening in a meaningful way,” Dr. Silversides said.

Like many in the burgeoning field of cardio-obstetrics, the team proposed a multidisciplinary approach that stresses preconception counseling, educating pregnant women with heart disease and obesity about their risks, ensuring that dietary advice, weight-gain recommendations, and comorbidities are addressed as part of routine care, and providing postpartum surveillance.

Preconception screening “has been the recommendation for a long, long time; it’s just that it doesn’t always happen in reality,” she said. “Many pregnancies aren’t planned and not all women are filtered into preconception counseling. So sometimes you’ll do it at the first antenatal visit and try to ensure women are educated but optimally you want to do it well in advance of pregnancy.”

Part of that preconception counseling “should also include giving them appropriate advice for contraception, if what they want to do is avoid pregnancy,” added Dr. Silversides.

Garima Sharma, MD, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, and colleagues wrote in an accompanying editorial that the adverse events observed in this high-risk cohort have “important implications for cardio-obstetricians and should be incorporated in routine prepregnancy and antenatal counseling, monitoring, and risk stratification for women with existing cardiovascular disease.”

They pointed to a paucity of data incorporating maternal prepregnancy obesity and gestational weight gain in risk prediction and called for larger population-based studies on the additive impact of obesity severity on predicting adverse cardiac events in women with existing cardiovascular disease.

Randomized trials are also urgently needed to evaluate the effect of nutritional and behavioral interventions in pregnancy on short- and long-term outcomes in mother and child.

“As the obesity epidemic continues to grow and public health interventions promoting lifestyle changes for obesity management remain a major challenge, maternal obesity may prove to be the ‘Achilles’ heel’ of sustainable national efforts to reduce maternal mortality and improve health equity. This is a call to action,” Dr. Sharma and colleagues concluded.

The investigators noted that the study was conducted at a single center and used self-reported pregnancy weight collected at the first antenatal visit, which may have underestimated obesity rates. Other limitations are that weight changes over the course of pregnancy were not studied and there was a limited number of women with a body mass index of 40 or higher.

The study was supported by a grant from the Allan E. Tiffin Trust, Toronto General and Western Hospital Foundation, and by a donation from Mrs. Josephine Rogers, Toronto General Hospital. Dr. Silversides is supported by the Miles Nadal Chair in Pregnancy and Heart Disease. Dr. Sharma and colleagues disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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CDC data strengthen link between obesity and severe COVID

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Officials have previously linked being overweight or obese to a greater risk for more severe COVID-19. A report today from the U.S. Centers for Disease Control and Prevention adds numbers and some nuance to the association.

Data from nearly 150,000 U.S. adults hospitalized with COVID-19 nationwide indicate that risk for more severe disease outcomes increases along with body mass index (BMI). The risk of COVID-19–related hospitalization and death associated with obesity was particularly high among people younger than 65.

“As clinicians develop care plans for COVID-19 patients, they should consider the risk for severe outcomes in patients with higher BMIs, especially for those with severe obesity,” the researchers note. They add that their findings suggest “progressively intensive management of COVID-19 might be needed for patients with more severe obesity.”

People with COVID-19 close to the border between a healthy and overweight BMI – from 23.7 kg/m2 to 25.9 kg/m2 – had the lowest risks for adverse outcomes.

The study was published online today in Morbidity and Mortality Weekly Report.
 

Greater need for critical care

The risk of ICU admission was particularly associated with severe obesity. For example, those with a BMI in the 40-44.9 kg/m2 category had a 6% increased risk, which jumped to 16% higher among those with a BMI of 45 or greater.

Compared to people with a healthy BMI, the need for invasive mechanical ventilation was 12% more likely among overweight adults with a BMI of 25-29.2. The risked jumped to 108% greater among the most obese people, those with a BMI of 45 or greater, lead CDC researcher Lyudmyla Kompaniyets, PhD, and colleagues reported.

Moreover, the risks for hospitalization and death increased in a dose-response relationship with obesity.

For example, risks of being hospitalized were 7% greater for adults with a BMI between 30 and 34.9 and climbed to 33% greater for those with a BMI of 45. Risks were calculated as adjusted relative risks compared with people with a healthy BMI between 18.5 and 24.9.

Interestingly, being underweight was associated with elevated risk for COVID-19 hospitalization as well. For example, people with a BMI of less than 18.5 had a 20% greater chance of admission vs. people in the healthy BMI range. Unknown underlying medical conditions or issues related to nutrition or immune function could be contributing factors, the researchers note.
 

Elevated risk of dying

The risk of death in adults with obesity ranged from 8% higher in the 30-34.9 range up to 61% greater for those with a BMI of 45.

Chronic inflammation or impaired lung function from excess weight are possible reasons that higher BMI imparts greater risk, the researchers note.

The CDC researchers evaluated 148,494 adults from 238 hospitals participating in PHD-SR database. Because the study was limited to people hospitalized with COVID-19, the findings may not apply to all adults with COVID-19.

Another potential limitation is that investigators were unable to calculate BMI for all patients in the database because about 28% of participating hospitals did not report height and weight.

The study authors had no relevant financial relationships to disclose. 

A version of this article first appeared on Medscape.com.

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Officials have previously linked being overweight or obese to a greater risk for more severe COVID-19. A report today from the U.S. Centers for Disease Control and Prevention adds numbers and some nuance to the association.

Data from nearly 150,000 U.S. adults hospitalized with COVID-19 nationwide indicate that risk for more severe disease outcomes increases along with body mass index (BMI). The risk of COVID-19–related hospitalization and death associated with obesity was particularly high among people younger than 65.

“As clinicians develop care plans for COVID-19 patients, they should consider the risk for severe outcomes in patients with higher BMIs, especially for those with severe obesity,” the researchers note. They add that their findings suggest “progressively intensive management of COVID-19 might be needed for patients with more severe obesity.”

People with COVID-19 close to the border between a healthy and overweight BMI – from 23.7 kg/m2 to 25.9 kg/m2 – had the lowest risks for adverse outcomes.

The study was published online today in Morbidity and Mortality Weekly Report.
 

Greater need for critical care

The risk of ICU admission was particularly associated with severe obesity. For example, those with a BMI in the 40-44.9 kg/m2 category had a 6% increased risk, which jumped to 16% higher among those with a BMI of 45 or greater.

Compared to people with a healthy BMI, the need for invasive mechanical ventilation was 12% more likely among overweight adults with a BMI of 25-29.2. The risked jumped to 108% greater among the most obese people, those with a BMI of 45 or greater, lead CDC researcher Lyudmyla Kompaniyets, PhD, and colleagues reported.

Moreover, the risks for hospitalization and death increased in a dose-response relationship with obesity.

For example, risks of being hospitalized were 7% greater for adults with a BMI between 30 and 34.9 and climbed to 33% greater for those with a BMI of 45. Risks were calculated as adjusted relative risks compared with people with a healthy BMI between 18.5 and 24.9.

Interestingly, being underweight was associated with elevated risk for COVID-19 hospitalization as well. For example, people with a BMI of less than 18.5 had a 20% greater chance of admission vs. people in the healthy BMI range. Unknown underlying medical conditions or issues related to nutrition or immune function could be contributing factors, the researchers note.
 

Elevated risk of dying

The risk of death in adults with obesity ranged from 8% higher in the 30-34.9 range up to 61% greater for those with a BMI of 45.

Chronic inflammation or impaired lung function from excess weight are possible reasons that higher BMI imparts greater risk, the researchers note.

The CDC researchers evaluated 148,494 adults from 238 hospitals participating in PHD-SR database. Because the study was limited to people hospitalized with COVID-19, the findings may not apply to all adults with COVID-19.

Another potential limitation is that investigators were unable to calculate BMI for all patients in the database because about 28% of participating hospitals did not report height and weight.

The study authors had no relevant financial relationships to disclose. 

A version of this article first appeared on Medscape.com.

 

Officials have previously linked being overweight or obese to a greater risk for more severe COVID-19. A report today from the U.S. Centers for Disease Control and Prevention adds numbers and some nuance to the association.

Data from nearly 150,000 U.S. adults hospitalized with COVID-19 nationwide indicate that risk for more severe disease outcomes increases along with body mass index (BMI). The risk of COVID-19–related hospitalization and death associated with obesity was particularly high among people younger than 65.

“As clinicians develop care plans for COVID-19 patients, they should consider the risk for severe outcomes in patients with higher BMIs, especially for those with severe obesity,” the researchers note. They add that their findings suggest “progressively intensive management of COVID-19 might be needed for patients with more severe obesity.”

People with COVID-19 close to the border between a healthy and overweight BMI – from 23.7 kg/m2 to 25.9 kg/m2 – had the lowest risks for adverse outcomes.

The study was published online today in Morbidity and Mortality Weekly Report.
 

Greater need for critical care

The risk of ICU admission was particularly associated with severe obesity. For example, those with a BMI in the 40-44.9 kg/m2 category had a 6% increased risk, which jumped to 16% higher among those with a BMI of 45 or greater.

Compared to people with a healthy BMI, the need for invasive mechanical ventilation was 12% more likely among overweight adults with a BMI of 25-29.2. The risked jumped to 108% greater among the most obese people, those with a BMI of 45 or greater, lead CDC researcher Lyudmyla Kompaniyets, PhD, and colleagues reported.

Moreover, the risks for hospitalization and death increased in a dose-response relationship with obesity.

For example, risks of being hospitalized were 7% greater for adults with a BMI between 30 and 34.9 and climbed to 33% greater for those with a BMI of 45. Risks were calculated as adjusted relative risks compared with people with a healthy BMI between 18.5 and 24.9.

Interestingly, being underweight was associated with elevated risk for COVID-19 hospitalization as well. For example, people with a BMI of less than 18.5 had a 20% greater chance of admission vs. people in the healthy BMI range. Unknown underlying medical conditions or issues related to nutrition or immune function could be contributing factors, the researchers note.
 

Elevated risk of dying

The risk of death in adults with obesity ranged from 8% higher in the 30-34.9 range up to 61% greater for those with a BMI of 45.

Chronic inflammation or impaired lung function from excess weight are possible reasons that higher BMI imparts greater risk, the researchers note.

The CDC researchers evaluated 148,494 adults from 238 hospitals participating in PHD-SR database. Because the study was limited to people hospitalized with COVID-19, the findings may not apply to all adults with COVID-19.

Another potential limitation is that investigators were unable to calculate BMI for all patients in the database because about 28% of participating hospitals did not report height and weight.

The study authors had no relevant financial relationships to disclose. 

A version of this article first appeared on Medscape.com.

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Semaglutide for meaningful weight loss in obesity and diabetes?

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A 2.4-mg weekly injection of the glucagon-like peptide-1 (GLP-1) receptor agonist semaglutide led to a clinically meaningful 5% loss in weight for roughly two-thirds of patients with both overweight/obesity and type 2 diabetes, researchers report.

These findings from the Semaglutide Treatment Effect in People With Obesity 2 (STEP 2) trial, one of four phase 3 trials of this drug, which is currently under regulatory review for weight loss, were published March 2 in The Lancet.

More than 1,000 patients (mean initial weight, 100 kg [220 pounds]) were randomly assigned to receive a lifestyle intervention plus a weekly injection of semaglutide 2.4 mg or semaglutide 1.0 mg or placebo. At 68 weeks, they had lost a mean of 9.6%, 7.0%, and 3.4%, respectively, of their starting weight.

In addition, 69% of patients who had received semaglutide 2.4 mg experienced a clinically meaningful 5% loss of weight, compared with 57% of patients who had received the lower dose and 29% of patients who had received placebo.

The higher dose of semaglutide was associated with a greater improvement in cardiometabolic risk factors. The safety profile was similar to that seen with other drugs in this class.
 

“By far the best results with any weight loss medicine in diabetes”

Importantly, “more than a quarter of participants lost over 15% of their body weight,” senior author Ildiko Lingvay, MD, stressed. This “is by far the best result we had with any weight loss medicine in patients with diabetes,” Dr. Lingvay, of the University of Texas, Dallas, said in a statement from the university.

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Dr. Ildiko Lingvay

“The drug works by suppressing appetite centers in the brain to reduce caloric intake,” she explained. “The medication continually tells the body that you just ate, you’re full.”

Similarly, lead author Melanie J. Davies, MD, said that the STEP 2 results “are exciting and represent a new era in weight management in people with type 2 diabetes.

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Dr. Melanie J. Davies


“They mark a real paradigm shift in our ability to treat obesity,” with results closer to those achieved with bariatric surgery, Dr. Davies, of the University of Leicester, England, said in a statement from her institution.

“It is really encouraging,” she continued, “that along with the weight loss we saw real improvements in general health, with significant improvement in physical functioning scores, blood pressure, and blood glucose control.”

Dr. Lingvay noted that on average, patients in the four STEP clinical trials lost 10%-17% of their body weight, “which is a huge step forward compared with all other medications currently available to treat obesity.” She stressed that these results are comparable to the 20%-30% weight loss seen with bariatric surgery.
 

One of four trials under review

More than 90% of people with type 2 diabetes are overweight or have obesity, and more than 20% of people with obesity have diabetes, wrote Dr. Davies and colleagues.

Semaglutide (Ozempic), administered subcutaneously at a dose of 0.5 mg to 1 mg weekly, is approved by the Food and Drug Administration for the treatment of type 2 diabetes. Dosing studies indicated that it is associated with weight loss.

As previously reported, four trials of the use of semaglutide for weight loss (STEP 1, 2, 3, and 4) have been completed. The combined data were submitted to the FDA on Dec. 4, 2020 (a decision is expected within 6 months) and to the European Medicines Agency on Dec. 18, 2020.

The STEP 1 and STEP 3 trials of semaglutide 2.4 mg vs. placebo were recently published. The STEP 1 trial involved 1,961 adults with obesity or overweight; the STEP 3 trial, 611 adults with obesity or overweight. In each of the trials, some patients also underwent an intensive lifestyle intervention, and some did not. In both trials, patients with type 2 diabetes were excluded.

Topline results from STEP 2 were reported in June 2020.
 

STEP 2 enrolled patients with type 2 diabetes

STEP 2 involved 1,210 adults in 149 outpatient clinics in 12 countries in Europe, North America, South America, the Middle East, South Africa, and Asia. All participants had type 2 diabetes.

For all patients, the body mass index was ≥27 kg/m2, and the A1c concentration was 7%-10%. The mean BMI was 35.7 kg/m2, and the mean A1c was 8.1%.

The mean age of the patients was 55 years, and 51% were women; 62% were White, 26% were Asian, 13% were Hispanic, 8% were Black, and 4% were of other ethnicity.

Participants were managed with diet and exercise alone or underwent treatment with a stable dose of up to three oral glucose-lowering agents (metformin, sulfonylureas, SGLT2 inhibitors, or thiazolidinediones) for at least 90 days. They were then randomly assigned in 1:1:1 ratio to receive semaglutide 2.4 mg, semaglutide 1.0 mg, or placebo.

The starting dose of semaglutide was 0.25 mg/wk; the dose was escalated every 4 weeks to reach the target dose.

All patients received monthly counseling from a dietitian about calories (the goal was a 500-calorie/day deficit) and activity (the goal was 150 minutes of walking or stair climbing per week).

The mean A1c dropped by 1.6% and 1.5% in the semaglutide groups and by 0.4% in the placebo group.

Adverse events were more frequent among the patients who received semaglutide (88% and 82%) than in the placebo group (77%).

Gastrointestinal events that were mainly mild to moderate in severity were reported by 64% of patients in the 2.4-mg semaglutide group, 58% in the 1.0-mg semaglutide group, and 34% in the placebo group.

Semaglutide (Rybelsus) is approved in the United States as a once-daily oral agent for use in type 2 diabetes in doses of 7 mg and 14 mg to improve glycemic control along with diet and exercise. It is the first GLP-1 agonist available in tablet form.

The study was supported by Novo Nordisk. The authors’ relevant financial relationships are listed in the original article.

A version of this article first appeared on Medscape.com.

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A 2.4-mg weekly injection of the glucagon-like peptide-1 (GLP-1) receptor agonist semaglutide led to a clinically meaningful 5% loss in weight for roughly two-thirds of patients with both overweight/obesity and type 2 diabetes, researchers report.

These findings from the Semaglutide Treatment Effect in People With Obesity 2 (STEP 2) trial, one of four phase 3 trials of this drug, which is currently under regulatory review for weight loss, were published March 2 in The Lancet.

More than 1,000 patients (mean initial weight, 100 kg [220 pounds]) were randomly assigned to receive a lifestyle intervention plus a weekly injection of semaglutide 2.4 mg or semaglutide 1.0 mg or placebo. At 68 weeks, they had lost a mean of 9.6%, 7.0%, and 3.4%, respectively, of their starting weight.

In addition, 69% of patients who had received semaglutide 2.4 mg experienced a clinically meaningful 5% loss of weight, compared with 57% of patients who had received the lower dose and 29% of patients who had received placebo.

The higher dose of semaglutide was associated with a greater improvement in cardiometabolic risk factors. The safety profile was similar to that seen with other drugs in this class.
 

“By far the best results with any weight loss medicine in diabetes”

Importantly, “more than a quarter of participants lost over 15% of their body weight,” senior author Ildiko Lingvay, MD, stressed. This “is by far the best result we had with any weight loss medicine in patients with diabetes,” Dr. Lingvay, of the University of Texas, Dallas, said in a statement from the university.

Sara Freeman/MDedge News
Dr. Ildiko Lingvay

“The drug works by suppressing appetite centers in the brain to reduce caloric intake,” she explained. “The medication continually tells the body that you just ate, you’re full.”

Similarly, lead author Melanie J. Davies, MD, said that the STEP 2 results “are exciting and represent a new era in weight management in people with type 2 diabetes.

Sara Freeman/MDedge News
Dr. Melanie J. Davies


“They mark a real paradigm shift in our ability to treat obesity,” with results closer to those achieved with bariatric surgery, Dr. Davies, of the University of Leicester, England, said in a statement from her institution.

“It is really encouraging,” she continued, “that along with the weight loss we saw real improvements in general health, with significant improvement in physical functioning scores, blood pressure, and blood glucose control.”

Dr. Lingvay noted that on average, patients in the four STEP clinical trials lost 10%-17% of their body weight, “which is a huge step forward compared with all other medications currently available to treat obesity.” She stressed that these results are comparable to the 20%-30% weight loss seen with bariatric surgery.
 

One of four trials under review

More than 90% of people with type 2 diabetes are overweight or have obesity, and more than 20% of people with obesity have diabetes, wrote Dr. Davies and colleagues.

Semaglutide (Ozempic), administered subcutaneously at a dose of 0.5 mg to 1 mg weekly, is approved by the Food and Drug Administration for the treatment of type 2 diabetes. Dosing studies indicated that it is associated with weight loss.

As previously reported, four trials of the use of semaglutide for weight loss (STEP 1, 2, 3, and 4) have been completed. The combined data were submitted to the FDA on Dec. 4, 2020 (a decision is expected within 6 months) and to the European Medicines Agency on Dec. 18, 2020.

The STEP 1 and STEP 3 trials of semaglutide 2.4 mg vs. placebo were recently published. The STEP 1 trial involved 1,961 adults with obesity or overweight; the STEP 3 trial, 611 adults with obesity or overweight. In each of the trials, some patients also underwent an intensive lifestyle intervention, and some did not. In both trials, patients with type 2 diabetes were excluded.

Topline results from STEP 2 were reported in June 2020.
 

STEP 2 enrolled patients with type 2 diabetes

STEP 2 involved 1,210 adults in 149 outpatient clinics in 12 countries in Europe, North America, South America, the Middle East, South Africa, and Asia. All participants had type 2 diabetes.

For all patients, the body mass index was ≥27 kg/m2, and the A1c concentration was 7%-10%. The mean BMI was 35.7 kg/m2, and the mean A1c was 8.1%.

The mean age of the patients was 55 years, and 51% were women; 62% were White, 26% were Asian, 13% were Hispanic, 8% were Black, and 4% were of other ethnicity.

Participants were managed with diet and exercise alone or underwent treatment with a stable dose of up to three oral glucose-lowering agents (metformin, sulfonylureas, SGLT2 inhibitors, or thiazolidinediones) for at least 90 days. They were then randomly assigned in 1:1:1 ratio to receive semaglutide 2.4 mg, semaglutide 1.0 mg, or placebo.

The starting dose of semaglutide was 0.25 mg/wk; the dose was escalated every 4 weeks to reach the target dose.

All patients received monthly counseling from a dietitian about calories (the goal was a 500-calorie/day deficit) and activity (the goal was 150 minutes of walking or stair climbing per week).

The mean A1c dropped by 1.6% and 1.5% in the semaglutide groups and by 0.4% in the placebo group.

Adverse events were more frequent among the patients who received semaglutide (88% and 82%) than in the placebo group (77%).

Gastrointestinal events that were mainly mild to moderate in severity were reported by 64% of patients in the 2.4-mg semaglutide group, 58% in the 1.0-mg semaglutide group, and 34% in the placebo group.

Semaglutide (Rybelsus) is approved in the United States as a once-daily oral agent for use in type 2 diabetes in doses of 7 mg and 14 mg to improve glycemic control along with diet and exercise. It is the first GLP-1 agonist available in tablet form.

The study was supported by Novo Nordisk. The authors’ relevant financial relationships are listed in the original article.

A version of this article first appeared on Medscape.com.

A 2.4-mg weekly injection of the glucagon-like peptide-1 (GLP-1) receptor agonist semaglutide led to a clinically meaningful 5% loss in weight for roughly two-thirds of patients with both overweight/obesity and type 2 diabetes, researchers report.

These findings from the Semaglutide Treatment Effect in People With Obesity 2 (STEP 2) trial, one of four phase 3 trials of this drug, which is currently under regulatory review for weight loss, were published March 2 in The Lancet.

More than 1,000 patients (mean initial weight, 100 kg [220 pounds]) were randomly assigned to receive a lifestyle intervention plus a weekly injection of semaglutide 2.4 mg or semaglutide 1.0 mg or placebo. At 68 weeks, they had lost a mean of 9.6%, 7.0%, and 3.4%, respectively, of their starting weight.

In addition, 69% of patients who had received semaglutide 2.4 mg experienced a clinically meaningful 5% loss of weight, compared with 57% of patients who had received the lower dose and 29% of patients who had received placebo.

The higher dose of semaglutide was associated with a greater improvement in cardiometabolic risk factors. The safety profile was similar to that seen with other drugs in this class.
 

“By far the best results with any weight loss medicine in diabetes”

Importantly, “more than a quarter of participants lost over 15% of their body weight,” senior author Ildiko Lingvay, MD, stressed. This “is by far the best result we had with any weight loss medicine in patients with diabetes,” Dr. Lingvay, of the University of Texas, Dallas, said in a statement from the university.

Sara Freeman/MDedge News
Dr. Ildiko Lingvay

“The drug works by suppressing appetite centers in the brain to reduce caloric intake,” she explained. “The medication continually tells the body that you just ate, you’re full.”

Similarly, lead author Melanie J. Davies, MD, said that the STEP 2 results “are exciting and represent a new era in weight management in people with type 2 diabetes.

Sara Freeman/MDedge News
Dr. Melanie J. Davies


“They mark a real paradigm shift in our ability to treat obesity,” with results closer to those achieved with bariatric surgery, Dr. Davies, of the University of Leicester, England, said in a statement from her institution.

“It is really encouraging,” she continued, “that along with the weight loss we saw real improvements in general health, with significant improvement in physical functioning scores, blood pressure, and blood glucose control.”

Dr. Lingvay noted that on average, patients in the four STEP clinical trials lost 10%-17% of their body weight, “which is a huge step forward compared with all other medications currently available to treat obesity.” She stressed that these results are comparable to the 20%-30% weight loss seen with bariatric surgery.
 

One of four trials under review

More than 90% of people with type 2 diabetes are overweight or have obesity, and more than 20% of people with obesity have diabetes, wrote Dr. Davies and colleagues.

Semaglutide (Ozempic), administered subcutaneously at a dose of 0.5 mg to 1 mg weekly, is approved by the Food and Drug Administration for the treatment of type 2 diabetes. Dosing studies indicated that it is associated with weight loss.

As previously reported, four trials of the use of semaglutide for weight loss (STEP 1, 2, 3, and 4) have been completed. The combined data were submitted to the FDA on Dec. 4, 2020 (a decision is expected within 6 months) and to the European Medicines Agency on Dec. 18, 2020.

The STEP 1 and STEP 3 trials of semaglutide 2.4 mg vs. placebo were recently published. The STEP 1 trial involved 1,961 adults with obesity or overweight; the STEP 3 trial, 611 adults with obesity or overweight. In each of the trials, some patients also underwent an intensive lifestyle intervention, and some did not. In both trials, patients with type 2 diabetes were excluded.

Topline results from STEP 2 were reported in June 2020.
 

STEP 2 enrolled patients with type 2 diabetes

STEP 2 involved 1,210 adults in 149 outpatient clinics in 12 countries in Europe, North America, South America, the Middle East, South Africa, and Asia. All participants had type 2 diabetes.

For all patients, the body mass index was ≥27 kg/m2, and the A1c concentration was 7%-10%. The mean BMI was 35.7 kg/m2, and the mean A1c was 8.1%.

The mean age of the patients was 55 years, and 51% were women; 62% were White, 26% were Asian, 13% were Hispanic, 8% were Black, and 4% were of other ethnicity.

Participants were managed with diet and exercise alone or underwent treatment with a stable dose of up to three oral glucose-lowering agents (metformin, sulfonylureas, SGLT2 inhibitors, or thiazolidinediones) for at least 90 days. They were then randomly assigned in 1:1:1 ratio to receive semaglutide 2.4 mg, semaglutide 1.0 mg, or placebo.

The starting dose of semaglutide was 0.25 mg/wk; the dose was escalated every 4 weeks to reach the target dose.

All patients received monthly counseling from a dietitian about calories (the goal was a 500-calorie/day deficit) and activity (the goal was 150 minutes of walking or stair climbing per week).

The mean A1c dropped by 1.6% and 1.5% in the semaglutide groups and by 0.4% in the placebo group.

Adverse events were more frequent among the patients who received semaglutide (88% and 82%) than in the placebo group (77%).

Gastrointestinal events that were mainly mild to moderate in severity were reported by 64% of patients in the 2.4-mg semaglutide group, 58% in the 1.0-mg semaglutide group, and 34% in the placebo group.

Semaglutide (Rybelsus) is approved in the United States as a once-daily oral agent for use in type 2 diabetes in doses of 7 mg and 14 mg to improve glycemic control along with diet and exercise. It is the first GLP-1 agonist available in tablet form.

The study was supported by Novo Nordisk. The authors’ relevant financial relationships are listed in the original article.

A version of this article first appeared on Medscape.com.

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Call to action on obesity amid COVID-19 pandemic

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Hundreds of thousands of deaths worldwide from COVID-19 could have been avoided if obesity rates were lower, a new report says.

An analysis by the World Obesity Federation found that of the 2.5 million COVID-19 deaths reported by the end of February 2021, almost 90% (2.2 million) were in countries where more than half the population is classified as overweight.

The report, released to coincide with World Obesity Day, calls for obesity to be recognized as a disease in its own right around the world, and for people with obesity to be included in priority lists for COVID-19 testing and vaccination.

“Overweight is a highly significant predictor of developing complications from COVID-19, including the need for hospitalization, for intensive care and for mechanical ventilation,” the WOF notes in the report.

It adds that in countries where less than half the adult population is classified as overweight (body mass index > 25 mg/kg2), for example, Vietnam, the likelihood of death from COVID-19 is a small fraction – around one-tenth – of the level seen in countries where more than half the population is classified as overweight.

And while it acknowledges that figures for COVID-19 deaths are affected by the age structure of national populations and a country’s relative wealth and reporting capacity, “our findings appear to be independent of these contributory factors. Furthermore, other studies have found that overweight remains a highly significant predictor of the need for COVID-19 health care after accounting for these other influences.”

As an example, based on the U.K. experience, where an estimated 36% of COVID-19 hospitalizations have been attributed to lack of physical activity and excess body weight, it can be suggested that up to a third of the costs – between $6 trillion and $7 trillion over the longer period – might be attributable to these predisposing risks.

The report said the prevalence of obesity in the United Kingdom is expected to rise from 27.8% in 2016 to more than 35% by 2025.

Rachel Batterham, lead adviser on obesity at the Royal College of Physicians, commented: “The link between high levels of obesity and deaths from COVID-19 in the U.K. is indisputable, as is the urgent need to address the factors that lead so many people to be living with obesity.

“With 30% of COVID-19 hospitalizations in the U.K. directly attributed to overweight and obesity, and three-quarters of all critically ill patients having overweight or obesity, the human and financial costs are high.”
 

Window of opportunity to prioritize obesity as a disease

WOF says that evolving evidence on the close association between COVID-19 and underlying obesity “provides a new urgency … for political and collective action.”

“Obesity is a disease that does not receive prioritization commensurate with its prevalence and impact, which is rising fastest in emerging economies. It is a gateway to many other noncommunicable diseases and mental-health illness and is now a major factor in COVID-19 complications and mortality.”

The WOF also shows that COVID-19 is not a special case, noting that several other respiratory viruses lead to more severe consequences in people living with excess bodyweight, giving good reasons to expect the next pandemic to have similar effects. “For these reasons we need to recognize overweight as a major risk factor for infectious diseases including respiratory viruses.”

“To prevent pandemic health crises in future requires action now: we call on all readers to support the World Obesity Federation’s call for stronger, more resilient economies that prioritize investment in people’s health.”

There is, it stresses, “a window of opportunity to advocate for, fund and implement these actions in all countries to ensure better, more resilient and sustainable health for all, “now and in our postCOVID-19 future.”

It proposes a ROOTS approach:

  • Recognize that obesity is a disease in its own right.
  • Obesity monitoring and surveillance must be enhanced.
  • Obesity prevention strategies must be developed.
  • Treatment of obesity.
  • Systems-based approaches should be applied.

A version of this article first appeared on Medscape.com.

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Hundreds of thousands of deaths worldwide from COVID-19 could have been avoided if obesity rates were lower, a new report says.

An analysis by the World Obesity Federation found that of the 2.5 million COVID-19 deaths reported by the end of February 2021, almost 90% (2.2 million) were in countries where more than half the population is classified as overweight.

The report, released to coincide with World Obesity Day, calls for obesity to be recognized as a disease in its own right around the world, and for people with obesity to be included in priority lists for COVID-19 testing and vaccination.

“Overweight is a highly significant predictor of developing complications from COVID-19, including the need for hospitalization, for intensive care and for mechanical ventilation,” the WOF notes in the report.

It adds that in countries where less than half the adult population is classified as overweight (body mass index > 25 mg/kg2), for example, Vietnam, the likelihood of death from COVID-19 is a small fraction – around one-tenth – of the level seen in countries where more than half the population is classified as overweight.

And while it acknowledges that figures for COVID-19 deaths are affected by the age structure of national populations and a country’s relative wealth and reporting capacity, “our findings appear to be independent of these contributory factors. Furthermore, other studies have found that overweight remains a highly significant predictor of the need for COVID-19 health care after accounting for these other influences.”

As an example, based on the U.K. experience, where an estimated 36% of COVID-19 hospitalizations have been attributed to lack of physical activity and excess body weight, it can be suggested that up to a third of the costs – between $6 trillion and $7 trillion over the longer period – might be attributable to these predisposing risks.

The report said the prevalence of obesity in the United Kingdom is expected to rise from 27.8% in 2016 to more than 35% by 2025.

Rachel Batterham, lead adviser on obesity at the Royal College of Physicians, commented: “The link between high levels of obesity and deaths from COVID-19 in the U.K. is indisputable, as is the urgent need to address the factors that lead so many people to be living with obesity.

“With 30% of COVID-19 hospitalizations in the U.K. directly attributed to overweight and obesity, and three-quarters of all critically ill patients having overweight or obesity, the human and financial costs are high.”
 

Window of opportunity to prioritize obesity as a disease

WOF says that evolving evidence on the close association between COVID-19 and underlying obesity “provides a new urgency … for political and collective action.”

“Obesity is a disease that does not receive prioritization commensurate with its prevalence and impact, which is rising fastest in emerging economies. It is a gateway to many other noncommunicable diseases and mental-health illness and is now a major factor in COVID-19 complications and mortality.”

The WOF also shows that COVID-19 is not a special case, noting that several other respiratory viruses lead to more severe consequences in people living with excess bodyweight, giving good reasons to expect the next pandemic to have similar effects. “For these reasons we need to recognize overweight as a major risk factor for infectious diseases including respiratory viruses.”

“To prevent pandemic health crises in future requires action now: we call on all readers to support the World Obesity Federation’s call for stronger, more resilient economies that prioritize investment in people’s health.”

There is, it stresses, “a window of opportunity to advocate for, fund and implement these actions in all countries to ensure better, more resilient and sustainable health for all, “now and in our postCOVID-19 future.”

It proposes a ROOTS approach:

  • Recognize that obesity is a disease in its own right.
  • Obesity monitoring and surveillance must be enhanced.
  • Obesity prevention strategies must be developed.
  • Treatment of obesity.
  • Systems-based approaches should be applied.

A version of this article first appeared on Medscape.com.

Hundreds of thousands of deaths worldwide from COVID-19 could have been avoided if obesity rates were lower, a new report says.

An analysis by the World Obesity Federation found that of the 2.5 million COVID-19 deaths reported by the end of February 2021, almost 90% (2.2 million) were in countries where more than half the population is classified as overweight.

The report, released to coincide with World Obesity Day, calls for obesity to be recognized as a disease in its own right around the world, and for people with obesity to be included in priority lists for COVID-19 testing and vaccination.

“Overweight is a highly significant predictor of developing complications from COVID-19, including the need for hospitalization, for intensive care and for mechanical ventilation,” the WOF notes in the report.

It adds that in countries where less than half the adult population is classified as overweight (body mass index > 25 mg/kg2), for example, Vietnam, the likelihood of death from COVID-19 is a small fraction – around one-tenth – of the level seen in countries where more than half the population is classified as overweight.

And while it acknowledges that figures for COVID-19 deaths are affected by the age structure of national populations and a country’s relative wealth and reporting capacity, “our findings appear to be independent of these contributory factors. Furthermore, other studies have found that overweight remains a highly significant predictor of the need for COVID-19 health care after accounting for these other influences.”

As an example, based on the U.K. experience, where an estimated 36% of COVID-19 hospitalizations have been attributed to lack of physical activity and excess body weight, it can be suggested that up to a third of the costs – between $6 trillion and $7 trillion over the longer period – might be attributable to these predisposing risks.

The report said the prevalence of obesity in the United Kingdom is expected to rise from 27.8% in 2016 to more than 35% by 2025.

Rachel Batterham, lead adviser on obesity at the Royal College of Physicians, commented: “The link between high levels of obesity and deaths from COVID-19 in the U.K. is indisputable, as is the urgent need to address the factors that lead so many people to be living with obesity.

“With 30% of COVID-19 hospitalizations in the U.K. directly attributed to overweight and obesity, and three-quarters of all critically ill patients having overweight or obesity, the human and financial costs are high.”
 

Window of opportunity to prioritize obesity as a disease

WOF says that evolving evidence on the close association between COVID-19 and underlying obesity “provides a new urgency … for political and collective action.”

“Obesity is a disease that does not receive prioritization commensurate with its prevalence and impact, which is rising fastest in emerging economies. It is a gateway to many other noncommunicable diseases and mental-health illness and is now a major factor in COVID-19 complications and mortality.”

The WOF also shows that COVID-19 is not a special case, noting that several other respiratory viruses lead to more severe consequences in people living with excess bodyweight, giving good reasons to expect the next pandemic to have similar effects. “For these reasons we need to recognize overweight as a major risk factor for infectious diseases including respiratory viruses.”

“To prevent pandemic health crises in future requires action now: we call on all readers to support the World Obesity Federation’s call for stronger, more resilient economies that prioritize investment in people’s health.”

There is, it stresses, “a window of opportunity to advocate for, fund and implement these actions in all countries to ensure better, more resilient and sustainable health for all, “now and in our postCOVID-19 future.”

It proposes a ROOTS approach:

  • Recognize that obesity is a disease in its own right.
  • Obesity monitoring and surveillance must be enhanced.
  • Obesity prevention strategies must be developed.
  • Treatment of obesity.
  • Systems-based approaches should be applied.

A version of this article first appeared on Medscape.com.

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Anticipating the care adolescents will need

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Anticipating the care adolescents will need

Adolescents are an increasingly diverse population reflecting changes in the racial, ethnic, and geopolitical milieus of the United States. The World Health Organization classifies adolescence as ages 10 to 19 years.1 However, given the complexity of adolescent development physically, behaviorally, emotionally, and socially, others propose that adolescence may extend to age 24.2

Recognizing the specific challenges adolescents face is key to providing comprehensive longitudinal health care. Moreover, creating an environment of trust helps to ensure open 2-way communication that can facilitate anticipatory guidance.

Our review focuses on common adolescent issues, including injury from vehicles and firearms, tobacco and substance misuse, obesity, behavioral health, sexual health, and social media use. We discuss current trends and recommend strategies to maximize health and wellness.

 

Start by framing the visit

Confidentiality

Laws governing confidentiality in adolescent health care vary by state. Be aware of the laws pertaining to your practice setting. In addition, health care facilities may have their own policies regarding consent and confidentiality in adolescent care. Discuss confidentiality with both an adolescent and the parent/guardian at the initial visit. And, to help avoid potential misunderstandings, let them know in advance what will (and will not) be divulged.

The American Academy of Pediatrics has developed a useful tip sheet regarding confidentiality laws (www.aap.org/en-us/advocacy-and-policy/aap-health-initiatives/healthy-foster-care-america/Documents/Confidentiality_Laws.pdf). Examples of required (conditional) disclosure include abuse and suicidal or homicidal ideations. Patients should understand that sexually transmitted infections (STIs) are reportable to public health authorities and that potentially injurious behaviors to self or others (eg, excessive drinking prior to driving) may also warrant disclosure(TABLE 13).

Exceptions to maintaining confidentiality in caring for an adolescent

Privacy and general visit structure

Create a safe atmosphere where adolescents can discuss personal issues without fear of repercussion or judgment. While parents may prefer to be present during the visit, allowing for time to visit independently with an adolescent offers the opportunity to reinforce issues of privacy and confidentiality. Also discuss your office policies regarding electronic communication, phone communication, and relaying test results.

Using the HEADSS mnemonic to anticipate guidance for adolescents

A useful paradigm for organizing a visit for routine adolescent care is to use an expanded version of the HEADSS mnemonic (TABLE 24,5), which includes questions about an adolescent’s Home, Education, Activities, Drug and alcohol use, Sexual behavior, Suicidality and depression, and other topics. Other validated screening tools include RAAPS (Rapid Adolescent Prevention Screening)6 (www.possibilitiesforchange.com/raaps/); the Guidelines for Adolescent Preventive Services7; and the Bright Futures recommendations for preventive care from the American Academy of Pediatrics.8 Below, we consider important topics addressed with the HEADSS approach.

Using the HEADSS mnemonic to anticipate guidance for adolescents

Continue to: Injury from vehicles and firearms

 

 

Injury from vehicles and firearms

Motor vehicle accidents and firearm wounds are the 2 leading causes of adolescent injury. In 2016, of the more than 20,000 deaths in children and adolescents (ages 1-19 years), 20% were due to motor vehicle accidents (4074) and 15% were a result of firearm-­related injuries (3143). Among firearm-­related deaths, 60% were homicides, 35% were suicides, and 4% were due to accidental discharge.9 The rate of firearm-related deaths among American teens is 36 times greater than that of any other developed nation.9 Currently, 1 of every 3 US households with children younger than 18 has a firearm. Data suggest that in 43% of these households, the firearm is loaded and kept in an unlocked location.10

To aid anticipatory guidance, ask adolescents about firearm and seat belt use, drinking and driving, and suicidal thoughts (TABLE 24,5). Advise them to always wear seat belts whether driving or riding as a passenger. They should never drink and drive (or get in a car with someone who has been drinking). Advise parents that if firearms are present in the household, they should be kept in a secure, locked location. Weapons should be separated from ammunition and safety mechanisms should be engaged on all devices.

Tobacco and substance misuse

Tobacco use, the leading preventable cause of death in the United States,11 is responsible for more deaths than alcohol, motor vehicle accidents, suicides, homicides, and HIV disease combined.12 Most tobacco-associated mortality occurs in individuals who began smoking before the age of 18.12 Individuals who start smoking early are also more likely to continue smoking through adulthood.

Encouragingly, tobacco use has declined significantly among adolescents over the past several decades. Roughly 1 in 25 high school seniors reports daily tobacco use.13 Adolescent smoking behaviors are also changing dramatically with the increasing popularity of electronic cigarettes (“vaping”). Currently, more adolescents vape than smoke cigarettes.13 Vaping has additional health risks including toxic lung injury.

Multiple resources can help combat tobacco and nicotine use in adolescents. The US Preventive Services Task Force recommends that primary care clinicians intervene through education or brief counselling to prevent initiation of tobacco use in school-aged children and adolescents.14 Ask teens about tobacco and electronic cigarette use and encourage them to quit when use is acknowledged. Other helpful office-based tools are the “Quit Line” 800-QUIT-NOW and texting “Quit” to 47848. Smokefree teen (https://teen.smokefree.gov/) is a website that reviews the risks of tobacco and nicotine use and provides age-appropriate cessation tools and tips (including a smartphone app and a live-chat feature). Other useful information is available in a report from the Surgeon General on preventing tobacco use among young adults.15

Continue to: Alcohol use

 

 

Alcohol use. Three in 5 high school students report ever having used alcohol.13 As with tobacco, adolescent alcohol use has declined over the past decade. However, binge drinking (≥ 5 drinks on 1 occasion for males; ≥ 4 drinks on 1 occasion for females) remains a common high-risk behavior among adolescents (particularly college students). Based on the Monitoring the Future Survey, 1 in 6 high school seniors reported binge drinking in the past 2 weeks.13 While historically more common among males, rates of binge drinking are now basically similar between male and female adolescents.13

While historically more common among males, rates of binge drinking are now basically similar between male and female adolescents.

The National Institute on Alcohol Abuse and Alcoholism has a screening and intervention guide specifically for adolescents.16A 2-question screening tool asking about personal use of alcohol and use of alcohol by friends is followed by a risk assessment with recommendations to advise young patients not to drink and to assist them with appropriate intervention and follow-up (https://pubs.niaaa.nih.gov/publications/Practitioner/YouthGuide/YouthGuidePocket.pdf).

Illicit drug use. Half of adolescents report using an illicit drug by their senior year in high school.13 Marijuana is the most commonly used substance, and laws governing its use are rapidly changing across the United States. Marijuana is illegal in 10 states and legal in 10 states (and the District of Columbia). The remaining states have varying policies on the medical use of marijuana and the decriminalization of marijuana. In addition, cannabinoid (CBD) products are increasingly available. Frequent cannabis use in adolescence has an adverse impact on general executive function (compared with adult users) and learning.17 Marijuana may serve as a gateway drug in the abuse of other substances,18 and its use should be strongly discouraged in adolescents.

Of note, there has been a sharp rise in the illicit use of prescription drugs, particularly opioids, creating a public health emergency across the United States.19 In 2015, more than 4000 young people, ages 15 to 24, died from a drug-related overdose (> 50% of these attributable to opioids).20 Adolescents with a history of substance abuse and behavioral illness are at particular risk. Many adolescents who misuse opioids and other prescription drugs obtain them from friends and relatives.21

The Substance Abuse and Mental Health Services Administration (SAMHSA) recommends universal screening of adolescents for substance abuse. This screening should be accompanied by a brief intervention to prevent, mitigate, or eliminate substance use, or a referral to appropriate treatment sources. This process of screening, brief intervention, and referral to treatment (SBIRT) is recommended as part of routine health care.22

Continue to: Obesity and physical activity

 

 

Obesity and physical activity

The percentage of overweight and obese adolescents in the United States has more than tripled over the past 40 years,23 and 1 in 5 US adolescents is obese.23 Obese teens are at higher risk for multiple chronic diseases, including type 2 diabetes, sleep apnea, and heart disease.24 They are also more likely to be bullied and to have poor self-esteem.25 Only 1 in 5 American high school students engages in 60 or more minutes of moderate-to-­vigorous physical activity on 5 or more days per week.26

Regular physical activity is, of course, beneficial for cardiorespiratory fitness, bone health, weight control, and improved indices of behavioral health.26 Adolescents who are physically active consistently demonstrate better school attendance and grades.17 Higher levels of physical fitness are also associated with improved overall cognitive performance.24

General recommendations. The Department of Health and Human Services recommends that adolescents get at least 60 minutes of mostly moderate physical activity every day.26 Encourage adolescents to engage in vigorous physical activity (heavy breathing, sweating) at least 3 days a week. As part of their physical activity patterns, adolescents should also engage in muscle-­strengthening and bone-strengthening activities on at least 3 days per week.

 

Behavioral health

As young people develop their sense of personal identity, they also strive for independence. It can be difficult, at times, to differentiate normal adolescent rebellion from true mental illness. An estimated 17% to 19% of adolescents meet criteria for mental illness, and about 7% have a severe psychiatric disorder.27 Only one-third of adolescents with mental illness receive any mental health services.28

Depression. The 1-year incidence of major depression in adolescents is 3% to 4%, and the lifetime prevalence of depressive symptoms is 25% in all high school students.27 Risk factors include ethnic minority status, poor self-esteem, poor health, recent personal crisis, insomnia, and alcohol/­substance abuse. Depression in adolescent girls is correlated with becoming sexually active at a younger age, failure to use contraception, having an STI, and suicide attempts. Depressed boys are more likely to have unprotected intercourse and participate in physical fights.29 Depressed teens have a 2- to 3-fold greater risk for behavioral disorders, anxiety, and attention-deficit/hyperactivity disorder (ADHD).30

Continue to: Suicide

 

 

Suicide. Among individuals 15 to 29 years of age, suicide is the second leading cause of death globally, with an annual incidence of 11 to 15 per 100,000.31 Suicide attempts are 10 to 20 times more common than completed suicide.31 Males are more likely than females to die by suicide,32 and boys with a history of attempted suicide have a 30-fold increased risk of subsequent successful suicide.31 Hanging, drug poisoning, and firearms (particularly for males) are the most common means of suicide in adolescents. More than half of adolescents dying by suicide have coexisting depression.31

Adolescents prefer that providers address sexual health and are more likely to respond if asked directly about sexual behaviors.

Characteristics associated with suicidal behaviors in adolescents include impulsivity, poor problem-solving skills, and dichotomous thinking.31 There may be a genetic component as well. In 1 of 5 teenage suicides, a precipitating life event such as the break-up of a relationship, cyber-bullying, or peer rejection is felt to contribute.31

ADHD. The prevalence of ADHD is 7% to 9% in US school-aged children.33 Boys more commonly exhibit hyperactive behaviors, while girls have more inattention. Hyperactivity often diminishes in teens, but inattention and impulsivity persist. Sequelae of ADHD include high-risk sexual behaviors, motor vehicle accidents, incarceration, and substance abuse.34 Poor self-esteem, suicidal ideation, smoking, and obesity are also increased.34 ADHD often persists into adulthood, with implications for social relationships and job performance.34

Eating disorders. The distribution of eating disorders is now known to increasingly include more minorities and males, the latter representing 5% to 10% of cases.35 Eating disorders show a strong genetic tendency and appear to be accelerated by puberty. The most common eating disorder (diagnosed in 0.8%-14% of teens) is eating disorder not otherwise specified (NOS).35 Anorexia nervosa is diagnosed in 0.5% of adolescent girls, and bulimia nervosa in 1% to 2%—particularly among athletes and performers.35 Unanticipated loss of weight, amenorrhea, excessive concern about weight, and deceleration in height/weight curves are potential indicators of an eating disorder. When identified, eating disorders are best managed by a trusted family physician, acting as a coordinator of a multidisciplinary team.

Sexual health

Girls begin to menstruate at an average age of 12, and it takes about 4 years for them to reach reproductive maturity.36 Puberty has been documented to start at younger ages over the past 30 years, likely due to an increase in average body mass index and a decrease in levels of physical activity.37 Girls with early maturation are often insecure and self-conscious, with higher levels of psychological distress.38 In boys, the average age for spermarche (first ejaculation) is 13.39 Boys who mature early tend to be taller, be more confident, and express a good body image.40 Those who have early puberty are more likely to be sexually active or participate in high-risk behaviors.41

Continue to: Pregnancy and contraception

 

 

Pregnancy and contraception

Over the past several decades, more US teens have been abstaining from sexual intercourse or have been using effective forms of birth control, particularly condoms and long-acting reversible contraceptives (LARCs).42 Teenage birth rates in girls ages 15 to 19 have declined significantly since the 1980s.42 Despite this, the teenage birth rate in the United States remains higher than in other industrialized nations, and most teen pregnancies are unintended.43 Disparities in teenage birth rates also persist across racial and socioeconomic lines.44

Restricting computer use to an area with parental supervision or installing monitoring programs does not seem to exert any protective influence on cyber-bullying or unsolicited stranger contact.

There are numerous interventions to reduce teen pregnancy, including sex education, contraceptive counseling, the use of mobile apps that track a user’s monthly fertility cycle or issue reminders to take oral contraceptives,45 and the liberal distribution of contraceptives and condoms. The Contraceptive CHOICE Project shows that providing free (or low-cost) LARCs influences young women to choose these as their preferred contraceptive method.46 Other programs specifically empower girls to convince partners to use condoms and to resist unwanted sexual advances or intimate partner violence.

 

Adolescents prefer to have their health care providers address the topic of sexual health. Teens are more likely to share information with providers if asked directly about sexual behaviors.47TABLE 24,5 offers tips for anticipatory guidance and potential ways to frame questions with adolescents in this context. State laws vary with regard to the ability of minors to seek contraception, pregnancy testing, or care/screening for STIs without parental consent. Contraceptive counseling combined with effective screening decrease the incidence of STIs and pelvic inflammatory disease for sexually active teens.48

Ask adolescents about online activities, and provide parents with these tips

Sexually transmitted infections

Young adolescents often have a limited ability to imagine consequences related to specific actions. In general, there is also an increased desire to engage in experimental behaviors as an expression of developing autonomy, which may expose them to STIs. About half of all STIs contracted in the United States occur in individuals 15 to 24 years of age.49 Girls are at particular risk for the sequelae of these infections, including cervical dysplasia and infertility. Many teens erroneously believe that sexual activities other than intercourse decrease their risk of contracting an STI.50

Human papillomavirus (HPV) infection is the most common STI in adolescence.51 In most cases, HPV is transient and asymptomatic. Oncogenic strains may cause cervical cancer or cancers of the anogenital or oropharyngeal systems. Due to viral latency, it is not recommended to perform HPV typing in men or in women younger than 30 years of age; however, Pap tests are recommended every 3 years for women ages 21 to 29. Primary care providers are pivotal in the public health struggle to prevent HPV infection.

Continue to: Universal immunization of all children...

 

 

Universal immunization of all children older than 11 years of age against HPV is strongly advised as part of routine well-child care. Emphasize the proven role of HPV vaccination in preventing cervical52 and oropharyngeal53 cancers. And be prepared to address concerns raised by parents in the context of vaccine safety and the initiation of sexual behaviors (www.cdc.gov/hpv/hcp/answering-questions.html).

Chlamydia is the second most common STI in the United States, usually occurring in individuals younger than 24.54 The CDC estimates that more than 3 million new chlamydial infections occur yearly. These infections are often asymptomatic, particularly in females, but may cause urethritis, cervicitis, epididymitis, proctitis, or pelvic inflammatory disease. Indolent chlamydial infection is the leading cause of tubal infertility in women.54 Routine annual screening for chlamydia is recommended for all sexually active females ≤ 25 years (and for older women with specific risks).55 Annual screening is also recommended for men who have sex with men (MSM).55

Chlamydial infection may be diagnosed with first-catch urine sampling (men or women), urethral swab (men), endocervical swab (women), or self-collected vaginal swab. Nucleic acid amplification testing is the most sensitive test that is widely available.56 First-line treatment includes either azithromycin (1 g orally, single dose) or doxycycline (100 mg orally, twice daily for 7 days).56

Gonorrhea. In 2018, there were more than 500,000 annual cases of gonorrhea, with the majority occurring in those between 15 and 24 years of age.57 Gonorrhea may increase rates of HIV infection transmission up to 5-fold.57 As more adolescents practice oral sex, cases of pharyngeal gonorrhea (and oropharyngeal HPV) have increased. Symptoms of urethritis occur more frequently in men. Screening is recommended for all sexually active women younger than 25.56 Importantly, the organism Neisseria gonorrhoeae has developed significant antibiotic resistance over the past decade. The CDC currently recommends dual therapy for the treatment of gonorrhea using 250 mg of intramuscular ceftriaxone and 1 g of oral azithromycin.56

Syphilis. Rates of syphilis are increasing among individuals ages 15 to 24.51 Screening is particularly recommended for MSM and individuals infected with HIV. Benzathine penicillin G, 50,000 U/kg IM, remains the treatment of choice.56

Continue to: HIV

 

 

HIV. Globally, HIV impacts young people disproportionately. HIV infection also facilitates infection with other STIs. In the United States, the highest burden of HIV infection is borne by young MSM, with prevalence among those 18 to 24 years old varying between 26% to 30% (black) and 3% to 5.5% (non-Hispanic white).51 The use of emtricitabine/tenofovir disoproxil fumarate for pre-exposure prophylaxis (PrEP) has recently been approved for the prevention of HIV. PrEP reduces risk by up to 92% for MSM and transgender women.58

Sexual identity

One in 10 high school students self-identifies as “nonheterosexual,” and 1 in 15 reports same-sex sexual contact.59 The term LGBTQ+ includes the communities of lesbian, gay, bisexual, transgender, transsexual, queer, questioning, intersex, and asexual individuals. Developing a safe sense of sexual identity is fundamental to adolescent psychological development, and many adolescents struggle to develop a positive sexual identity. Suicide rates and self-harm behaviors among ­LGBTQ+ adolescents can be 4 times higher than among their heterosexual peers.60 Rates of mood disorders, substance abuse, and high-risk sexual behaviors are also increased in the LGBTQ+ population.61

Suicide rates and self-harm behaviors among LGBTQ+ adolescents can be 4 times higher than among their heterosexual peers.

The LGBTQ+ community often seeks health care advice and affirmation from primary care providers. Resources to enhance this care are available at www.lgbthealtheducation.org.

 

Social media

Adolescents today have more media exposure than any prior generation, with smartphone and computer use increasing exponentially. Most (95%) teens have access to a smartphone,62 45% describe themselves as constantly connected to the Internet, and 14% feel that social media is “addictive.”62 Most manage their social media portfolio on multiple sites. Patterns of adolescents' online activities show that boys prefer online gaming, while girls tend to spend more time on social networking.62

Whether extensive media use is psychologically beneficial or deleterious has been widely debated. Increased time online correlates with decreased levels of physical activity.63 And sleep disturbances have been associated with excessive screen time and the presence of mobile devices in the bedroom.64 The use of social media prior to bedtime also has an adverse impact on academic performance—particularly for girls. This adverse impact on academics persists after correcting for daytime sleepiness, body mass index, and number of hours spent on homework.64

Continue to: Due to growing concerns...

 

 

Due to growing concerns about the risks of social media in children and adolescents, the American Academy of Pediatrics has developed the Family Media Plan (www.healthychildren.org/English/media/Pages/default.aspx). Some specific questions that providers may ask are outlined in TABLE 3.64 The Family Media Plan can provide age-specific guidelines to assist parents or caregivers in answering these questions.

Cyber-bullying. One in 3 adolescents (primarily female) has been a victim of cyber-bullying.65 Sadly, 1 in 5 teens has received some form of electronic sexual solicitation.66 The likelihood of unsolicited stranger contact correlates with teens’ online habits and the amount of information disclosed. Predictors include female sex, visiting chat rooms, posting photos, and disclosing personal information. Restricting computer use to an area with parental supervision or installing monitoring programs does not seem to exert any protective influence on cyber-bullying or unsolicited stranger contact.65 While 63% of cyber-bullying victims feel upset, embarrassed, or stressed by these contacts,66 few events are actually reported. To address this, some states have adopted laws adding cyber-bullying to school disciplinary codes.

Adolescents rarely disclose bullying to parents or other adults, fearing restriction of Internet access, and many of them think that adults may downplay the seriousness of the events.

Negative health impacts associated with cyber-bullying include anxiety, sadness, and greater difficulty in concentrating on school work.65 Victims of bullying are more likely to have school disciplinary actions and depression and to be truant or to carry weapons to school.66 Cyber-bullying is uniquely destructive due to its ubiquitous presence. A sense of relative anonymity online may encourage perpetrators to act more cruelly, with less concern for punishment.

 

Young people are also more likely to share passwords as a sign of friendship. This may result in others assuming their identity online. Adolescents rarely disclose bullying to parents or other adults, fearing restriction of Internet access, and many of them think that adults may downplay the seriousness of the events.66

CORRESPONDENCE
Mark B. Stephens, MD, Penn State Health Medical Group, 1850 East Park Avenue, State College, PA 16803; mstephens3@pennstatehealth.psu.edu.

References

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2. Sawyer SM, Azzopardi PS, Wickremarathne D, et al. The age of adolescence. Lancet Child Adolesc Health. 2018;2:223-228.

3. Pathak PR, Chou A. Confidential care for adoloscents in the U.S. healthcare system. J Patient Cent Res Rev. 2019;6:46-50.

4. AMA Journal of Ethics. HEADSS: the “review of systems” for adolescents. Accessed February 23, 2021. https://journalofethics.ama-assn.org/article/headss-review-systems-adolescents/2005-03

5. Cohen E, MacKenzie RG, Yates GL. HEADSS, a psychosocial risk assessment instrument: implications for designing effective intervention programs for runaway youth. J Adolesc Health. 1991;12:539-544. 

6. Possibilities for Change. Rapid Adolescent Prevention Screening (RAAPS). Accessed February 23, 2021. www.possibilitiesforchange.com/raaps/

7. Elster AB, Kuznets NJ. AMA Guidelines for Adolescent Preventive Services (GAPS): Recommendations and Rationale. Williams & Wilkins; 1994.

8. AAP. Engaging patients and families - periodicity schedule. Accessed February 23, 2021. www.aap.org/en-us/professional-resources/practice-support/Pages/PeriodicitySchedule.aspx

9. Cunningham RM, Walton MA, Carter PM. The major causes of death in children and adolescents in the United States. N Eng J Med. 2018;379:2468-2475.

10. Schuster MA, Franke TM, Bastian AM, et al. Firearm storage patterns in US homes with children. Am J Public Health. 2000;90:588-594.

11. Mokdad AH, Marks JS, Stroup DF, et al. Actual causes of death in the United States. JAMA. 2004;291:1238-1245.

12. HHS. Health consequences of smoking, surgeon general fact sheet. Accessed February 23, 2021. www.hhs.gov/surgeongeneral/reports-and-publications/tobacco/consequences-smoking-factsheet/index.html

13. Johnston LD, Miech RA, O’Malley PM, et al. Monitoring the future: national survey results on drug use, 1975-2017. The University of Michigan. 2018. Accessed February 23, 2021. https://eric.ed.gov/?id=ED589762

14. US Preventive Services Task Force. Prevention and cessation of tobacco use in children and adolescents: primary care interventions. Accessed February 23, 2021. www.uspreventiveservicestaskforce.org/uspstf/recommendation/tobacco-and-nicotine-use-prevention-in-children-and-adolescents-primary-care-interventions

15. HHS. Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General. Atlanta, GA: HHS, CDC, NCCDPHP, OSH; 2012. Accessed February 23, 2021. www.ncbi.nlm.nih.gov/books/NBK99237/

16. NIH. Alcohol screening and brief intervention for youth: a pocket guide. Accessed February 23, 2021. https://pubs.niaaa.nih.gov/publications/Practitioner/YouthGuide/YouthGuidePocket.pdf

17. Gorey C, Kuhns L, Smaragdi E, et al. Age-related differences in the impact of cannabis use on the brain and cognition: a systematic review. Eur Arch Psychiatry Clin Neurosci. 2019;269:37-58.

18. Secades-Villa R, Garcia-Rodriguez O, Jin CJ, et al. Probability and predictors of the cannabis gateway effect: a national study. Int J Drug Policy. 2015;26:135-142.

19. Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance—United States, 2017. MMWR Surveill Summ. 2018;67:1-114.

20. NIH. Drug overdoses in youth. How do drug overdoses happen?. Accessed February 23, 2021. https://teens.drugabuse.gov/drug-facts/drug-overdoses-youth

21. Branstetter SA, Low S, Furman W. The influence of parents and friends on adolescent substance use: a multidimensional approach. J Subst Use. 2011;162:150-160.

22. AAP. Committee on Substance Use and Prevention. Substance use screening, brief intervention, and referral to treatment. Pediatrics. 2016;138:e20161210.

23. Hales CM, Carroll MD, Fryar CD, et al. Prevalence of obesity among adults and youth: United States, 2015–2016. NCHS Data Brief. 2017;288:1-8.

24. Halfon N, Larson K, Slusser W. Associations between obesity and comorbid mental health, developmental and physical health conditions in a nationally representative sample of US children aged 10 to 17. Acad Pediatr. 2013;13:6-13.

25. Griffiths LJ, Parsons TJ, Hill AJ. Self-esteem and quality of life in obese children and adolescents: a systematic review. Int J Pediatr Obes. 2010;5:282-304.

26. National Physical Activity Plan Alliance. The 2018 United States report card on physical activity for children and youth. Accessed February 23, 2021. http://physicalactivityplan.org/projects/PA/2018/2018%20US%20Report%20Card%20Full%20Version_WEB.PDF?pdf=page-link

27. HHS. NIMH. Child and adolescent mental health. Accessed February 23, 2021. www.nimh.nih.gov/health/topics/child-and-adolescent-mental-health/index.shtml

28. Yonek JC, Jordan N, Dunlop D, et al. Patient-centered medical home care for adolescents in need of mental health treatment. J Adolesc Health. 2018;63:172-180.

29. Brooks TL, Harris SK, Thrall JS, et al. Association of adolescent risk behaviors with mental health symptoms in high school students. |J Adolesc Health. 2002;31:240-246.

30. Weller BE, Blanford KL, Butler AM. Estimated prevalence of psychiatric comorbidities in US adolescents with depression by race/ethnicity, 2011-2012. J Adolesc Health. 2018;62:716-721.

31. Bilsen J. Suicide and youth: risk factors. Front Psychiatry. 2018;9:540.

32. Shain B, AAP Committee on Adolescence. Suicide and suicide attempts in adolescents. Pediatrics. 2016;138:e20161420.

33. Brahmbhatt K, Hilty DM, Hah M, et al. Diagnosis and treatment of attention deficit hyperactivity disorder during adolescence in the primary care setting: review and future directions. J Adolesc Health. 2016;59:135-143.

34. Bravender T. Attention-deficit/hyperactivity disorder and disordered eating. [editorial] J Adolesc Health. 2017;61:125-126.

35. Rosen DS, AAP Committee on Adolescence. Identification and management of eating disorders in children and adolescents. Pediatrics. 2010;126:1240-1253.

36. Susman EJ, Houts RM, Steinberg L, et al. Longitudinal development of secondary sexual characteristics in girls and boys between ages 9 ½ and 15 ½ years. Arch Pediatr Adolesc Med. 2010;164:166-173.

37. Kaplowitz PB. Link between body fat and the timing of puberty. Pediatrics. 2008;121(suppl 3):S208-S217.

38. Ge X, Conger RD, Elder GH. Coming of age too early: pubertal influences on girl’s vulnerability to psychologic distress. Child Dev. 1996;67:3386-3400.

39. Jørgensen M, Keiding N, Skakkebaek NE. Estimation of spermarche from longitudinal spermaturia data. Biometrics. 1991;47:177-193.

40. Kar SK, Choudhury A, Singh AP. Understanding normal development of adolescent sexuality: a bumpy ride. J Hum Reprod Sci. 2015;8:70-74.

41. Susman EJ, Dorn LD, Schiefelbein VL. Puberty, sexuality and health. In: Lerner MA, Easterbrooks MA, Mistry J (eds). Comprehensive Handbook of Psychology. Wiley; 2003.

42. Lindberg LD, Santelli JS, Desai S. Changing patterns of contraceptive use and the decline in rates of pregnancy and birth among U.S. adolescents, 2007-2014. J Adolesc Health. 2018;63:253-256.

43. Guttmacher Institute. Teen pregnancy. www.guttmacher.org/united-states/teens/teen-pregnancy. Accessed February 23, 2021.

44. CDC. Social determinants and eliminating disparities in teen pregnancy. Accessed February 23, 2021. www.cdc.gov/teenpregnancy/about/social-determinants-disparities-teen-pregnancy.htm

45. Widman L, Nesi J, Kamke K, et al. Technology-based interventions to reduce sexually transmitted infection and unintended pregnancy among youth. J Adolesc Health. 2018;62:651-660.

46. Secura GM, Allsworth JE, Madden T, et al. The Contraceptive CHOICE Project: reducing barriers to long-acting reversible contraception. Am J Obstet Gynecol. 2010;203:115.e1-115.e7.

47. Ham P, Allen C. Adolescent health screening and counseling. Am Fam Physician. 2012;86:1109-1116.

48. ACOG. Committee on Adolescent Health Care. Adolescent pregnancy, contraception and sexual activity. 2017. Accessed February 23, 2021. www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/05/adolescent-pregnancy-contraception-and-sexual-activity

49. Wangu Z, Burstein GR. Adolescent sexuality: updates to the sexually transmitted infection guidelines. Pediatr Clin N Am. 2017;64:389-411.

50. Holway GV, Hernandez SM. Oral sex and condom use in a U.S. national sample of adolescents and young adults. J Adolesc Health. 2018;62:402-410.

51. CDC. STDs in adults and adolescents. Accessed February 23, 2021. www.cdc.gov/std/stats17/adolescents.htm

52. McClung N, Gargano J, Bennett N, et al. Trends in human papillomavirus vaccine types 16 and 18 in cervical precancers, 2008-2014. Accessed February 23, 2021. https://cebp.aacrjournals.org/content/28/3/602

53. Timbang MR, Sim MW, Bewley AF, et al. HPV-related oropharyngeal cancer: a review on burden of the disease and opportunities for prevention and early detection. Hum Vaccin Immunother. 2019;15:1920-1928.

54. Carey AJ, Beagley KW. Chlamydia trachomatis, a hidden epidemic: effects on female reproduction and options for treatment. Am J Reprod Immunol. 2010;63:576-586.

55. USPSTF. Chlamydia and gonorrhea screening. Accessed February 23, 2021. www.uspreventiveservicestaskforce.org/Page/Document/RecommendationStatementFinal/chlamydia-and-gonorrhea-screening

56. Workowski KA, Bolan GA. Sexually transmitted diseases treatment guidelines, 2015. MMWR Morb Mortal Wkly Rep. 2015;64:1-135.

57. CDC. Sexually transmitted disease surveillance 2018. Accessed February 23, 2021. www.cdc.gov/std/stats18/gonorrhea.htm

58. SAHM. HIV pre-exposure prophylaxis medication for adolescents and young adults: a position paper of the Society for Adolescent Health and Medicine. J Adolesc Health. 2018;63:513-516.

59. Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance–United States, 2015. MMWR Surveill Summ. 2016;65:1-174.

60. CDC. LGBT youth. Accessed February 23, 2021. www.cdc.gov/lgbthealth/youth.htm

61. Johns MM, Lowry R, Rasberry CN, et al. Violence victimization, substance use, and suicide risk among sexual minority high school students – United States, 2015-2017. MMWR Morb Mortal Wkly Rep. 2018;67:1211-1215.

62. Pew Research Center. Teens, social media & technology 2018. . Accessed February 23, 2021. www.pewinternet.org/2018/05/31/teens-social-media-technology-2018/

63. Chassiakos YLR, Radesky J, Christakis D, et al. Children and adolescents and digital media. Pediatrics. 2016;138:e20162593.

64. Arora T, Albahri A, Omar OM, et al. The prospective association between electronic device use before bedtime and academic attainment in adolescents. J Adolesc Health. 2018;63:451-458.

65. Mishna F, Saini M, Solomon S. Ongoing and online: children and youth’s perceptions of cyber bullying. Child Youth Serv Rev. 2009;31:1222-1228.

66. Sengupta A, Chaudhuri A. Are social networking sites a source of online harassment for teens? Evidence from survey data. Child Youth Serv Rev. 2011;33:284-290.

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Adolescents are an increasingly diverse population reflecting changes in the racial, ethnic, and geopolitical milieus of the United States. The World Health Organization classifies adolescence as ages 10 to 19 years.1 However, given the complexity of adolescent development physically, behaviorally, emotionally, and socially, others propose that adolescence may extend to age 24.2

Recognizing the specific challenges adolescents face is key to providing comprehensive longitudinal health care. Moreover, creating an environment of trust helps to ensure open 2-way communication that can facilitate anticipatory guidance.

Our review focuses on common adolescent issues, including injury from vehicles and firearms, tobacco and substance misuse, obesity, behavioral health, sexual health, and social media use. We discuss current trends and recommend strategies to maximize health and wellness.

 

Start by framing the visit

Confidentiality

Laws governing confidentiality in adolescent health care vary by state. Be aware of the laws pertaining to your practice setting. In addition, health care facilities may have their own policies regarding consent and confidentiality in adolescent care. Discuss confidentiality with both an adolescent and the parent/guardian at the initial visit. And, to help avoid potential misunderstandings, let them know in advance what will (and will not) be divulged.

The American Academy of Pediatrics has developed a useful tip sheet regarding confidentiality laws (www.aap.org/en-us/advocacy-and-policy/aap-health-initiatives/healthy-foster-care-america/Documents/Confidentiality_Laws.pdf). Examples of required (conditional) disclosure include abuse and suicidal or homicidal ideations. Patients should understand that sexually transmitted infections (STIs) are reportable to public health authorities and that potentially injurious behaviors to self or others (eg, excessive drinking prior to driving) may also warrant disclosure(TABLE 13).

Exceptions to maintaining confidentiality in caring for an adolescent

Privacy and general visit structure

Create a safe atmosphere where adolescents can discuss personal issues without fear of repercussion or judgment. While parents may prefer to be present during the visit, allowing for time to visit independently with an adolescent offers the opportunity to reinforce issues of privacy and confidentiality. Also discuss your office policies regarding electronic communication, phone communication, and relaying test results.

Using the HEADSS mnemonic to anticipate guidance for adolescents

A useful paradigm for organizing a visit for routine adolescent care is to use an expanded version of the HEADSS mnemonic (TABLE 24,5), which includes questions about an adolescent’s Home, Education, Activities, Drug and alcohol use, Sexual behavior, Suicidality and depression, and other topics. Other validated screening tools include RAAPS (Rapid Adolescent Prevention Screening)6 (www.possibilitiesforchange.com/raaps/); the Guidelines for Adolescent Preventive Services7; and the Bright Futures recommendations for preventive care from the American Academy of Pediatrics.8 Below, we consider important topics addressed with the HEADSS approach.

Using the HEADSS mnemonic to anticipate guidance for adolescents

Continue to: Injury from vehicles and firearms

 

 

Injury from vehicles and firearms

Motor vehicle accidents and firearm wounds are the 2 leading causes of adolescent injury. In 2016, of the more than 20,000 deaths in children and adolescents (ages 1-19 years), 20% were due to motor vehicle accidents (4074) and 15% were a result of firearm-­related injuries (3143). Among firearm-­related deaths, 60% were homicides, 35% were suicides, and 4% were due to accidental discharge.9 The rate of firearm-related deaths among American teens is 36 times greater than that of any other developed nation.9 Currently, 1 of every 3 US households with children younger than 18 has a firearm. Data suggest that in 43% of these households, the firearm is loaded and kept in an unlocked location.10

To aid anticipatory guidance, ask adolescents about firearm and seat belt use, drinking and driving, and suicidal thoughts (TABLE 24,5). Advise them to always wear seat belts whether driving or riding as a passenger. They should never drink and drive (or get in a car with someone who has been drinking). Advise parents that if firearms are present in the household, they should be kept in a secure, locked location. Weapons should be separated from ammunition and safety mechanisms should be engaged on all devices.

Tobacco and substance misuse

Tobacco use, the leading preventable cause of death in the United States,11 is responsible for more deaths than alcohol, motor vehicle accidents, suicides, homicides, and HIV disease combined.12 Most tobacco-associated mortality occurs in individuals who began smoking before the age of 18.12 Individuals who start smoking early are also more likely to continue smoking through adulthood.

Encouragingly, tobacco use has declined significantly among adolescents over the past several decades. Roughly 1 in 25 high school seniors reports daily tobacco use.13 Adolescent smoking behaviors are also changing dramatically with the increasing popularity of electronic cigarettes (“vaping”). Currently, more adolescents vape than smoke cigarettes.13 Vaping has additional health risks including toxic lung injury.

Multiple resources can help combat tobacco and nicotine use in adolescents. The US Preventive Services Task Force recommends that primary care clinicians intervene through education or brief counselling to prevent initiation of tobacco use in school-aged children and adolescents.14 Ask teens about tobacco and electronic cigarette use and encourage them to quit when use is acknowledged. Other helpful office-based tools are the “Quit Line” 800-QUIT-NOW and texting “Quit” to 47848. Smokefree teen (https://teen.smokefree.gov/) is a website that reviews the risks of tobacco and nicotine use and provides age-appropriate cessation tools and tips (including a smartphone app and a live-chat feature). Other useful information is available in a report from the Surgeon General on preventing tobacco use among young adults.15

Continue to: Alcohol use

 

 

Alcohol use. Three in 5 high school students report ever having used alcohol.13 As with tobacco, adolescent alcohol use has declined over the past decade. However, binge drinking (≥ 5 drinks on 1 occasion for males; ≥ 4 drinks on 1 occasion for females) remains a common high-risk behavior among adolescents (particularly college students). Based on the Monitoring the Future Survey, 1 in 6 high school seniors reported binge drinking in the past 2 weeks.13 While historically more common among males, rates of binge drinking are now basically similar between male and female adolescents.13

While historically more common among males, rates of binge drinking are now basically similar between male and female adolescents.

The National Institute on Alcohol Abuse and Alcoholism has a screening and intervention guide specifically for adolescents.16A 2-question screening tool asking about personal use of alcohol and use of alcohol by friends is followed by a risk assessment with recommendations to advise young patients not to drink and to assist them with appropriate intervention and follow-up (https://pubs.niaaa.nih.gov/publications/Practitioner/YouthGuide/YouthGuidePocket.pdf).

Illicit drug use. Half of adolescents report using an illicit drug by their senior year in high school.13 Marijuana is the most commonly used substance, and laws governing its use are rapidly changing across the United States. Marijuana is illegal in 10 states and legal in 10 states (and the District of Columbia). The remaining states have varying policies on the medical use of marijuana and the decriminalization of marijuana. In addition, cannabinoid (CBD) products are increasingly available. Frequent cannabis use in adolescence has an adverse impact on general executive function (compared with adult users) and learning.17 Marijuana may serve as a gateway drug in the abuse of other substances,18 and its use should be strongly discouraged in adolescents.

Of note, there has been a sharp rise in the illicit use of prescription drugs, particularly opioids, creating a public health emergency across the United States.19 In 2015, more than 4000 young people, ages 15 to 24, died from a drug-related overdose (> 50% of these attributable to opioids).20 Adolescents with a history of substance abuse and behavioral illness are at particular risk. Many adolescents who misuse opioids and other prescription drugs obtain them from friends and relatives.21

The Substance Abuse and Mental Health Services Administration (SAMHSA) recommends universal screening of adolescents for substance abuse. This screening should be accompanied by a brief intervention to prevent, mitigate, or eliminate substance use, or a referral to appropriate treatment sources. This process of screening, brief intervention, and referral to treatment (SBIRT) is recommended as part of routine health care.22

Continue to: Obesity and physical activity

 

 

Obesity and physical activity

The percentage of overweight and obese adolescents in the United States has more than tripled over the past 40 years,23 and 1 in 5 US adolescents is obese.23 Obese teens are at higher risk for multiple chronic diseases, including type 2 diabetes, sleep apnea, and heart disease.24 They are also more likely to be bullied and to have poor self-esteem.25 Only 1 in 5 American high school students engages in 60 or more minutes of moderate-to-­vigorous physical activity on 5 or more days per week.26

Regular physical activity is, of course, beneficial for cardiorespiratory fitness, bone health, weight control, and improved indices of behavioral health.26 Adolescents who are physically active consistently demonstrate better school attendance and grades.17 Higher levels of physical fitness are also associated with improved overall cognitive performance.24

General recommendations. The Department of Health and Human Services recommends that adolescents get at least 60 minutes of mostly moderate physical activity every day.26 Encourage adolescents to engage in vigorous physical activity (heavy breathing, sweating) at least 3 days a week. As part of their physical activity patterns, adolescents should also engage in muscle-­strengthening and bone-strengthening activities on at least 3 days per week.

 

Behavioral health

As young people develop their sense of personal identity, they also strive for independence. It can be difficult, at times, to differentiate normal adolescent rebellion from true mental illness. An estimated 17% to 19% of adolescents meet criteria for mental illness, and about 7% have a severe psychiatric disorder.27 Only one-third of adolescents with mental illness receive any mental health services.28

Depression. The 1-year incidence of major depression in adolescents is 3% to 4%, and the lifetime prevalence of depressive symptoms is 25% in all high school students.27 Risk factors include ethnic minority status, poor self-esteem, poor health, recent personal crisis, insomnia, and alcohol/­substance abuse. Depression in adolescent girls is correlated with becoming sexually active at a younger age, failure to use contraception, having an STI, and suicide attempts. Depressed boys are more likely to have unprotected intercourse and participate in physical fights.29 Depressed teens have a 2- to 3-fold greater risk for behavioral disorders, anxiety, and attention-deficit/hyperactivity disorder (ADHD).30

Continue to: Suicide

 

 

Suicide. Among individuals 15 to 29 years of age, suicide is the second leading cause of death globally, with an annual incidence of 11 to 15 per 100,000.31 Suicide attempts are 10 to 20 times more common than completed suicide.31 Males are more likely than females to die by suicide,32 and boys with a history of attempted suicide have a 30-fold increased risk of subsequent successful suicide.31 Hanging, drug poisoning, and firearms (particularly for males) are the most common means of suicide in adolescents. More than half of adolescents dying by suicide have coexisting depression.31

Adolescents prefer that providers address sexual health and are more likely to respond if asked directly about sexual behaviors.

Characteristics associated with suicidal behaviors in adolescents include impulsivity, poor problem-solving skills, and dichotomous thinking.31 There may be a genetic component as well. In 1 of 5 teenage suicides, a precipitating life event such as the break-up of a relationship, cyber-bullying, or peer rejection is felt to contribute.31

ADHD. The prevalence of ADHD is 7% to 9% in US school-aged children.33 Boys more commonly exhibit hyperactive behaviors, while girls have more inattention. Hyperactivity often diminishes in teens, but inattention and impulsivity persist. Sequelae of ADHD include high-risk sexual behaviors, motor vehicle accidents, incarceration, and substance abuse.34 Poor self-esteem, suicidal ideation, smoking, and obesity are also increased.34 ADHD often persists into adulthood, with implications for social relationships and job performance.34

Eating disorders. The distribution of eating disorders is now known to increasingly include more minorities and males, the latter representing 5% to 10% of cases.35 Eating disorders show a strong genetic tendency and appear to be accelerated by puberty. The most common eating disorder (diagnosed in 0.8%-14% of teens) is eating disorder not otherwise specified (NOS).35 Anorexia nervosa is diagnosed in 0.5% of adolescent girls, and bulimia nervosa in 1% to 2%—particularly among athletes and performers.35 Unanticipated loss of weight, amenorrhea, excessive concern about weight, and deceleration in height/weight curves are potential indicators of an eating disorder. When identified, eating disorders are best managed by a trusted family physician, acting as a coordinator of a multidisciplinary team.

Sexual health

Girls begin to menstruate at an average age of 12, and it takes about 4 years for them to reach reproductive maturity.36 Puberty has been documented to start at younger ages over the past 30 years, likely due to an increase in average body mass index and a decrease in levels of physical activity.37 Girls with early maturation are often insecure and self-conscious, with higher levels of psychological distress.38 In boys, the average age for spermarche (first ejaculation) is 13.39 Boys who mature early tend to be taller, be more confident, and express a good body image.40 Those who have early puberty are more likely to be sexually active or participate in high-risk behaviors.41

Continue to: Pregnancy and contraception

 

 

Pregnancy and contraception

Over the past several decades, more US teens have been abstaining from sexual intercourse or have been using effective forms of birth control, particularly condoms and long-acting reversible contraceptives (LARCs).42 Teenage birth rates in girls ages 15 to 19 have declined significantly since the 1980s.42 Despite this, the teenage birth rate in the United States remains higher than in other industrialized nations, and most teen pregnancies are unintended.43 Disparities in teenage birth rates also persist across racial and socioeconomic lines.44

Restricting computer use to an area with parental supervision or installing monitoring programs does not seem to exert any protective influence on cyber-bullying or unsolicited stranger contact.

There are numerous interventions to reduce teen pregnancy, including sex education, contraceptive counseling, the use of mobile apps that track a user’s monthly fertility cycle or issue reminders to take oral contraceptives,45 and the liberal distribution of contraceptives and condoms. The Contraceptive CHOICE Project shows that providing free (or low-cost) LARCs influences young women to choose these as their preferred contraceptive method.46 Other programs specifically empower girls to convince partners to use condoms and to resist unwanted sexual advances or intimate partner violence.

 

Adolescents prefer to have their health care providers address the topic of sexual health. Teens are more likely to share information with providers if asked directly about sexual behaviors.47TABLE 24,5 offers tips for anticipatory guidance and potential ways to frame questions with adolescents in this context. State laws vary with regard to the ability of minors to seek contraception, pregnancy testing, or care/screening for STIs without parental consent. Contraceptive counseling combined with effective screening decrease the incidence of STIs and pelvic inflammatory disease for sexually active teens.48

Ask adolescents about online activities, and provide parents with these tips

Sexually transmitted infections

Young adolescents often have a limited ability to imagine consequences related to specific actions. In general, there is also an increased desire to engage in experimental behaviors as an expression of developing autonomy, which may expose them to STIs. About half of all STIs contracted in the United States occur in individuals 15 to 24 years of age.49 Girls are at particular risk for the sequelae of these infections, including cervical dysplasia and infertility. Many teens erroneously believe that sexual activities other than intercourse decrease their risk of contracting an STI.50

Human papillomavirus (HPV) infection is the most common STI in adolescence.51 In most cases, HPV is transient and asymptomatic. Oncogenic strains may cause cervical cancer or cancers of the anogenital or oropharyngeal systems. Due to viral latency, it is not recommended to perform HPV typing in men or in women younger than 30 years of age; however, Pap tests are recommended every 3 years for women ages 21 to 29. Primary care providers are pivotal in the public health struggle to prevent HPV infection.

Continue to: Universal immunization of all children...

 

 

Universal immunization of all children older than 11 years of age against HPV is strongly advised as part of routine well-child care. Emphasize the proven role of HPV vaccination in preventing cervical52 and oropharyngeal53 cancers. And be prepared to address concerns raised by parents in the context of vaccine safety and the initiation of sexual behaviors (www.cdc.gov/hpv/hcp/answering-questions.html).

Chlamydia is the second most common STI in the United States, usually occurring in individuals younger than 24.54 The CDC estimates that more than 3 million new chlamydial infections occur yearly. These infections are often asymptomatic, particularly in females, but may cause urethritis, cervicitis, epididymitis, proctitis, or pelvic inflammatory disease. Indolent chlamydial infection is the leading cause of tubal infertility in women.54 Routine annual screening for chlamydia is recommended for all sexually active females ≤ 25 years (and for older women with specific risks).55 Annual screening is also recommended for men who have sex with men (MSM).55

Chlamydial infection may be diagnosed with first-catch urine sampling (men or women), urethral swab (men), endocervical swab (women), or self-collected vaginal swab. Nucleic acid amplification testing is the most sensitive test that is widely available.56 First-line treatment includes either azithromycin (1 g orally, single dose) or doxycycline (100 mg orally, twice daily for 7 days).56

Gonorrhea. In 2018, there were more than 500,000 annual cases of gonorrhea, with the majority occurring in those between 15 and 24 years of age.57 Gonorrhea may increase rates of HIV infection transmission up to 5-fold.57 As more adolescents practice oral sex, cases of pharyngeal gonorrhea (and oropharyngeal HPV) have increased. Symptoms of urethritis occur more frequently in men. Screening is recommended for all sexually active women younger than 25.56 Importantly, the organism Neisseria gonorrhoeae has developed significant antibiotic resistance over the past decade. The CDC currently recommends dual therapy for the treatment of gonorrhea using 250 mg of intramuscular ceftriaxone and 1 g of oral azithromycin.56

Syphilis. Rates of syphilis are increasing among individuals ages 15 to 24.51 Screening is particularly recommended for MSM and individuals infected with HIV. Benzathine penicillin G, 50,000 U/kg IM, remains the treatment of choice.56

Continue to: HIV

 

 

HIV. Globally, HIV impacts young people disproportionately. HIV infection also facilitates infection with other STIs. In the United States, the highest burden of HIV infection is borne by young MSM, with prevalence among those 18 to 24 years old varying between 26% to 30% (black) and 3% to 5.5% (non-Hispanic white).51 The use of emtricitabine/tenofovir disoproxil fumarate for pre-exposure prophylaxis (PrEP) has recently been approved for the prevention of HIV. PrEP reduces risk by up to 92% for MSM and transgender women.58

Sexual identity

One in 10 high school students self-identifies as “nonheterosexual,” and 1 in 15 reports same-sex sexual contact.59 The term LGBTQ+ includes the communities of lesbian, gay, bisexual, transgender, transsexual, queer, questioning, intersex, and asexual individuals. Developing a safe sense of sexual identity is fundamental to adolescent psychological development, and many adolescents struggle to develop a positive sexual identity. Suicide rates and self-harm behaviors among ­LGBTQ+ adolescents can be 4 times higher than among their heterosexual peers.60 Rates of mood disorders, substance abuse, and high-risk sexual behaviors are also increased in the LGBTQ+ population.61

Suicide rates and self-harm behaviors among LGBTQ+ adolescents can be 4 times higher than among their heterosexual peers.

The LGBTQ+ community often seeks health care advice and affirmation from primary care providers. Resources to enhance this care are available at www.lgbthealtheducation.org.

 

Social media

Adolescents today have more media exposure than any prior generation, with smartphone and computer use increasing exponentially. Most (95%) teens have access to a smartphone,62 45% describe themselves as constantly connected to the Internet, and 14% feel that social media is “addictive.”62 Most manage their social media portfolio on multiple sites. Patterns of adolescents' online activities show that boys prefer online gaming, while girls tend to spend more time on social networking.62

Whether extensive media use is psychologically beneficial or deleterious has been widely debated. Increased time online correlates with decreased levels of physical activity.63 And sleep disturbances have been associated with excessive screen time and the presence of mobile devices in the bedroom.64 The use of social media prior to bedtime also has an adverse impact on academic performance—particularly for girls. This adverse impact on academics persists after correcting for daytime sleepiness, body mass index, and number of hours spent on homework.64

Continue to: Due to growing concerns...

 

 

Due to growing concerns about the risks of social media in children and adolescents, the American Academy of Pediatrics has developed the Family Media Plan (www.healthychildren.org/English/media/Pages/default.aspx). Some specific questions that providers may ask are outlined in TABLE 3.64 The Family Media Plan can provide age-specific guidelines to assist parents or caregivers in answering these questions.

Cyber-bullying. One in 3 adolescents (primarily female) has been a victim of cyber-bullying.65 Sadly, 1 in 5 teens has received some form of electronic sexual solicitation.66 The likelihood of unsolicited stranger contact correlates with teens’ online habits and the amount of information disclosed. Predictors include female sex, visiting chat rooms, posting photos, and disclosing personal information. Restricting computer use to an area with parental supervision or installing monitoring programs does not seem to exert any protective influence on cyber-bullying or unsolicited stranger contact.65 While 63% of cyber-bullying victims feel upset, embarrassed, or stressed by these contacts,66 few events are actually reported. To address this, some states have adopted laws adding cyber-bullying to school disciplinary codes.

Adolescents rarely disclose bullying to parents or other adults, fearing restriction of Internet access, and many of them think that adults may downplay the seriousness of the events.

Negative health impacts associated with cyber-bullying include anxiety, sadness, and greater difficulty in concentrating on school work.65 Victims of bullying are more likely to have school disciplinary actions and depression and to be truant or to carry weapons to school.66 Cyber-bullying is uniquely destructive due to its ubiquitous presence. A sense of relative anonymity online may encourage perpetrators to act more cruelly, with less concern for punishment.

 

Young people are also more likely to share passwords as a sign of friendship. This may result in others assuming their identity online. Adolescents rarely disclose bullying to parents or other adults, fearing restriction of Internet access, and many of them think that adults may downplay the seriousness of the events.66

CORRESPONDENCE
Mark B. Stephens, MD, Penn State Health Medical Group, 1850 East Park Avenue, State College, PA 16803; mstephens3@pennstatehealth.psu.edu.

Adolescents are an increasingly diverse population reflecting changes in the racial, ethnic, and geopolitical milieus of the United States. The World Health Organization classifies adolescence as ages 10 to 19 years.1 However, given the complexity of adolescent development physically, behaviorally, emotionally, and socially, others propose that adolescence may extend to age 24.2

Recognizing the specific challenges adolescents face is key to providing comprehensive longitudinal health care. Moreover, creating an environment of trust helps to ensure open 2-way communication that can facilitate anticipatory guidance.

Our review focuses on common adolescent issues, including injury from vehicles and firearms, tobacco and substance misuse, obesity, behavioral health, sexual health, and social media use. We discuss current trends and recommend strategies to maximize health and wellness.

 

Start by framing the visit

Confidentiality

Laws governing confidentiality in adolescent health care vary by state. Be aware of the laws pertaining to your practice setting. In addition, health care facilities may have their own policies regarding consent and confidentiality in adolescent care. Discuss confidentiality with both an adolescent and the parent/guardian at the initial visit. And, to help avoid potential misunderstandings, let them know in advance what will (and will not) be divulged.

The American Academy of Pediatrics has developed a useful tip sheet regarding confidentiality laws (www.aap.org/en-us/advocacy-and-policy/aap-health-initiatives/healthy-foster-care-america/Documents/Confidentiality_Laws.pdf). Examples of required (conditional) disclosure include abuse and suicidal or homicidal ideations. Patients should understand that sexually transmitted infections (STIs) are reportable to public health authorities and that potentially injurious behaviors to self or others (eg, excessive drinking prior to driving) may also warrant disclosure(TABLE 13).

Exceptions to maintaining confidentiality in caring for an adolescent

Privacy and general visit structure

Create a safe atmosphere where adolescents can discuss personal issues without fear of repercussion or judgment. While parents may prefer to be present during the visit, allowing for time to visit independently with an adolescent offers the opportunity to reinforce issues of privacy and confidentiality. Also discuss your office policies regarding electronic communication, phone communication, and relaying test results.

Using the HEADSS mnemonic to anticipate guidance for adolescents

A useful paradigm for organizing a visit for routine adolescent care is to use an expanded version of the HEADSS mnemonic (TABLE 24,5), which includes questions about an adolescent’s Home, Education, Activities, Drug and alcohol use, Sexual behavior, Suicidality and depression, and other topics. Other validated screening tools include RAAPS (Rapid Adolescent Prevention Screening)6 (www.possibilitiesforchange.com/raaps/); the Guidelines for Adolescent Preventive Services7; and the Bright Futures recommendations for preventive care from the American Academy of Pediatrics.8 Below, we consider important topics addressed with the HEADSS approach.

Using the HEADSS mnemonic to anticipate guidance for adolescents

Continue to: Injury from vehicles and firearms

 

 

Injury from vehicles and firearms

Motor vehicle accidents and firearm wounds are the 2 leading causes of adolescent injury. In 2016, of the more than 20,000 deaths in children and adolescents (ages 1-19 years), 20% were due to motor vehicle accidents (4074) and 15% were a result of firearm-­related injuries (3143). Among firearm-­related deaths, 60% were homicides, 35% were suicides, and 4% were due to accidental discharge.9 The rate of firearm-related deaths among American teens is 36 times greater than that of any other developed nation.9 Currently, 1 of every 3 US households with children younger than 18 has a firearm. Data suggest that in 43% of these households, the firearm is loaded and kept in an unlocked location.10

To aid anticipatory guidance, ask adolescents about firearm and seat belt use, drinking and driving, and suicidal thoughts (TABLE 24,5). Advise them to always wear seat belts whether driving or riding as a passenger. They should never drink and drive (or get in a car with someone who has been drinking). Advise parents that if firearms are present in the household, they should be kept in a secure, locked location. Weapons should be separated from ammunition and safety mechanisms should be engaged on all devices.

Tobacco and substance misuse

Tobacco use, the leading preventable cause of death in the United States,11 is responsible for more deaths than alcohol, motor vehicle accidents, suicides, homicides, and HIV disease combined.12 Most tobacco-associated mortality occurs in individuals who began smoking before the age of 18.12 Individuals who start smoking early are also more likely to continue smoking through adulthood.

Encouragingly, tobacco use has declined significantly among adolescents over the past several decades. Roughly 1 in 25 high school seniors reports daily tobacco use.13 Adolescent smoking behaviors are also changing dramatically with the increasing popularity of electronic cigarettes (“vaping”). Currently, more adolescents vape than smoke cigarettes.13 Vaping has additional health risks including toxic lung injury.

Multiple resources can help combat tobacco and nicotine use in adolescents. The US Preventive Services Task Force recommends that primary care clinicians intervene through education or brief counselling to prevent initiation of tobacco use in school-aged children and adolescents.14 Ask teens about tobacco and electronic cigarette use and encourage them to quit when use is acknowledged. Other helpful office-based tools are the “Quit Line” 800-QUIT-NOW and texting “Quit” to 47848. Smokefree teen (https://teen.smokefree.gov/) is a website that reviews the risks of tobacco and nicotine use and provides age-appropriate cessation tools and tips (including a smartphone app and a live-chat feature). Other useful information is available in a report from the Surgeon General on preventing tobacco use among young adults.15

Continue to: Alcohol use

 

 

Alcohol use. Three in 5 high school students report ever having used alcohol.13 As with tobacco, adolescent alcohol use has declined over the past decade. However, binge drinking (≥ 5 drinks on 1 occasion for males; ≥ 4 drinks on 1 occasion for females) remains a common high-risk behavior among adolescents (particularly college students). Based on the Monitoring the Future Survey, 1 in 6 high school seniors reported binge drinking in the past 2 weeks.13 While historically more common among males, rates of binge drinking are now basically similar between male and female adolescents.13

While historically more common among males, rates of binge drinking are now basically similar between male and female adolescents.

The National Institute on Alcohol Abuse and Alcoholism has a screening and intervention guide specifically for adolescents.16A 2-question screening tool asking about personal use of alcohol and use of alcohol by friends is followed by a risk assessment with recommendations to advise young patients not to drink and to assist them with appropriate intervention and follow-up (https://pubs.niaaa.nih.gov/publications/Practitioner/YouthGuide/YouthGuidePocket.pdf).

Illicit drug use. Half of adolescents report using an illicit drug by their senior year in high school.13 Marijuana is the most commonly used substance, and laws governing its use are rapidly changing across the United States. Marijuana is illegal in 10 states and legal in 10 states (and the District of Columbia). The remaining states have varying policies on the medical use of marijuana and the decriminalization of marijuana. In addition, cannabinoid (CBD) products are increasingly available. Frequent cannabis use in adolescence has an adverse impact on general executive function (compared with adult users) and learning.17 Marijuana may serve as a gateway drug in the abuse of other substances,18 and its use should be strongly discouraged in adolescents.

Of note, there has been a sharp rise in the illicit use of prescription drugs, particularly opioids, creating a public health emergency across the United States.19 In 2015, more than 4000 young people, ages 15 to 24, died from a drug-related overdose (> 50% of these attributable to opioids).20 Adolescents with a history of substance abuse and behavioral illness are at particular risk. Many adolescents who misuse opioids and other prescription drugs obtain them from friends and relatives.21

The Substance Abuse and Mental Health Services Administration (SAMHSA) recommends universal screening of adolescents for substance abuse. This screening should be accompanied by a brief intervention to prevent, mitigate, or eliminate substance use, or a referral to appropriate treatment sources. This process of screening, brief intervention, and referral to treatment (SBIRT) is recommended as part of routine health care.22

Continue to: Obesity and physical activity

 

 

Obesity and physical activity

The percentage of overweight and obese adolescents in the United States has more than tripled over the past 40 years,23 and 1 in 5 US adolescents is obese.23 Obese teens are at higher risk for multiple chronic diseases, including type 2 diabetes, sleep apnea, and heart disease.24 They are also more likely to be bullied and to have poor self-esteem.25 Only 1 in 5 American high school students engages in 60 or more minutes of moderate-to-­vigorous physical activity on 5 or more days per week.26

Regular physical activity is, of course, beneficial for cardiorespiratory fitness, bone health, weight control, and improved indices of behavioral health.26 Adolescents who are physically active consistently demonstrate better school attendance and grades.17 Higher levels of physical fitness are also associated with improved overall cognitive performance.24

General recommendations. The Department of Health and Human Services recommends that adolescents get at least 60 minutes of mostly moderate physical activity every day.26 Encourage adolescents to engage in vigorous physical activity (heavy breathing, sweating) at least 3 days a week. As part of their physical activity patterns, adolescents should also engage in muscle-­strengthening and bone-strengthening activities on at least 3 days per week.

 

Behavioral health

As young people develop their sense of personal identity, they also strive for independence. It can be difficult, at times, to differentiate normal adolescent rebellion from true mental illness. An estimated 17% to 19% of adolescents meet criteria for mental illness, and about 7% have a severe psychiatric disorder.27 Only one-third of adolescents with mental illness receive any mental health services.28

Depression. The 1-year incidence of major depression in adolescents is 3% to 4%, and the lifetime prevalence of depressive symptoms is 25% in all high school students.27 Risk factors include ethnic minority status, poor self-esteem, poor health, recent personal crisis, insomnia, and alcohol/­substance abuse. Depression in adolescent girls is correlated with becoming sexually active at a younger age, failure to use contraception, having an STI, and suicide attempts. Depressed boys are more likely to have unprotected intercourse and participate in physical fights.29 Depressed teens have a 2- to 3-fold greater risk for behavioral disorders, anxiety, and attention-deficit/hyperactivity disorder (ADHD).30

Continue to: Suicide

 

 

Suicide. Among individuals 15 to 29 years of age, suicide is the second leading cause of death globally, with an annual incidence of 11 to 15 per 100,000.31 Suicide attempts are 10 to 20 times more common than completed suicide.31 Males are more likely than females to die by suicide,32 and boys with a history of attempted suicide have a 30-fold increased risk of subsequent successful suicide.31 Hanging, drug poisoning, and firearms (particularly for males) are the most common means of suicide in adolescents. More than half of adolescents dying by suicide have coexisting depression.31

Adolescents prefer that providers address sexual health and are more likely to respond if asked directly about sexual behaviors.

Characteristics associated with suicidal behaviors in adolescents include impulsivity, poor problem-solving skills, and dichotomous thinking.31 There may be a genetic component as well. In 1 of 5 teenage suicides, a precipitating life event such as the break-up of a relationship, cyber-bullying, or peer rejection is felt to contribute.31

ADHD. The prevalence of ADHD is 7% to 9% in US school-aged children.33 Boys more commonly exhibit hyperactive behaviors, while girls have more inattention. Hyperactivity often diminishes in teens, but inattention and impulsivity persist. Sequelae of ADHD include high-risk sexual behaviors, motor vehicle accidents, incarceration, and substance abuse.34 Poor self-esteem, suicidal ideation, smoking, and obesity are also increased.34 ADHD often persists into adulthood, with implications for social relationships and job performance.34

Eating disorders. The distribution of eating disorders is now known to increasingly include more minorities and males, the latter representing 5% to 10% of cases.35 Eating disorders show a strong genetic tendency and appear to be accelerated by puberty. The most common eating disorder (diagnosed in 0.8%-14% of teens) is eating disorder not otherwise specified (NOS).35 Anorexia nervosa is diagnosed in 0.5% of adolescent girls, and bulimia nervosa in 1% to 2%—particularly among athletes and performers.35 Unanticipated loss of weight, amenorrhea, excessive concern about weight, and deceleration in height/weight curves are potential indicators of an eating disorder. When identified, eating disorders are best managed by a trusted family physician, acting as a coordinator of a multidisciplinary team.

Sexual health

Girls begin to menstruate at an average age of 12, and it takes about 4 years for them to reach reproductive maturity.36 Puberty has been documented to start at younger ages over the past 30 years, likely due to an increase in average body mass index and a decrease in levels of physical activity.37 Girls with early maturation are often insecure and self-conscious, with higher levels of psychological distress.38 In boys, the average age for spermarche (first ejaculation) is 13.39 Boys who mature early tend to be taller, be more confident, and express a good body image.40 Those who have early puberty are more likely to be sexually active or participate in high-risk behaviors.41

Continue to: Pregnancy and contraception

 

 

Pregnancy and contraception

Over the past several decades, more US teens have been abstaining from sexual intercourse or have been using effective forms of birth control, particularly condoms and long-acting reversible contraceptives (LARCs).42 Teenage birth rates in girls ages 15 to 19 have declined significantly since the 1980s.42 Despite this, the teenage birth rate in the United States remains higher than in other industrialized nations, and most teen pregnancies are unintended.43 Disparities in teenage birth rates also persist across racial and socioeconomic lines.44

Restricting computer use to an area with parental supervision or installing monitoring programs does not seem to exert any protective influence on cyber-bullying or unsolicited stranger contact.

There are numerous interventions to reduce teen pregnancy, including sex education, contraceptive counseling, the use of mobile apps that track a user’s monthly fertility cycle or issue reminders to take oral contraceptives,45 and the liberal distribution of contraceptives and condoms. The Contraceptive CHOICE Project shows that providing free (or low-cost) LARCs influences young women to choose these as their preferred contraceptive method.46 Other programs specifically empower girls to convince partners to use condoms and to resist unwanted sexual advances or intimate partner violence.

 

Adolescents prefer to have their health care providers address the topic of sexual health. Teens are more likely to share information with providers if asked directly about sexual behaviors.47TABLE 24,5 offers tips for anticipatory guidance and potential ways to frame questions with adolescents in this context. State laws vary with regard to the ability of minors to seek contraception, pregnancy testing, or care/screening for STIs without parental consent. Contraceptive counseling combined with effective screening decrease the incidence of STIs and pelvic inflammatory disease for sexually active teens.48

Ask adolescents about online activities, and provide parents with these tips

Sexually transmitted infections

Young adolescents often have a limited ability to imagine consequences related to specific actions. In general, there is also an increased desire to engage in experimental behaviors as an expression of developing autonomy, which may expose them to STIs. About half of all STIs contracted in the United States occur in individuals 15 to 24 years of age.49 Girls are at particular risk for the sequelae of these infections, including cervical dysplasia and infertility. Many teens erroneously believe that sexual activities other than intercourse decrease their risk of contracting an STI.50

Human papillomavirus (HPV) infection is the most common STI in adolescence.51 In most cases, HPV is transient and asymptomatic. Oncogenic strains may cause cervical cancer or cancers of the anogenital or oropharyngeal systems. Due to viral latency, it is not recommended to perform HPV typing in men or in women younger than 30 years of age; however, Pap tests are recommended every 3 years for women ages 21 to 29. Primary care providers are pivotal in the public health struggle to prevent HPV infection.

Continue to: Universal immunization of all children...

 

 

Universal immunization of all children older than 11 years of age against HPV is strongly advised as part of routine well-child care. Emphasize the proven role of HPV vaccination in preventing cervical52 and oropharyngeal53 cancers. And be prepared to address concerns raised by parents in the context of vaccine safety and the initiation of sexual behaviors (www.cdc.gov/hpv/hcp/answering-questions.html).

Chlamydia is the second most common STI in the United States, usually occurring in individuals younger than 24.54 The CDC estimates that more than 3 million new chlamydial infections occur yearly. These infections are often asymptomatic, particularly in females, but may cause urethritis, cervicitis, epididymitis, proctitis, or pelvic inflammatory disease. Indolent chlamydial infection is the leading cause of tubal infertility in women.54 Routine annual screening for chlamydia is recommended for all sexually active females ≤ 25 years (and for older women with specific risks).55 Annual screening is also recommended for men who have sex with men (MSM).55

Chlamydial infection may be diagnosed with first-catch urine sampling (men or women), urethral swab (men), endocervical swab (women), or self-collected vaginal swab. Nucleic acid amplification testing is the most sensitive test that is widely available.56 First-line treatment includes either azithromycin (1 g orally, single dose) or doxycycline (100 mg orally, twice daily for 7 days).56

Gonorrhea. In 2018, there were more than 500,000 annual cases of gonorrhea, with the majority occurring in those between 15 and 24 years of age.57 Gonorrhea may increase rates of HIV infection transmission up to 5-fold.57 As more adolescents practice oral sex, cases of pharyngeal gonorrhea (and oropharyngeal HPV) have increased. Symptoms of urethritis occur more frequently in men. Screening is recommended for all sexually active women younger than 25.56 Importantly, the organism Neisseria gonorrhoeae has developed significant antibiotic resistance over the past decade. The CDC currently recommends dual therapy for the treatment of gonorrhea using 250 mg of intramuscular ceftriaxone and 1 g of oral azithromycin.56

Syphilis. Rates of syphilis are increasing among individuals ages 15 to 24.51 Screening is particularly recommended for MSM and individuals infected with HIV. Benzathine penicillin G, 50,000 U/kg IM, remains the treatment of choice.56

Continue to: HIV

 

 

HIV. Globally, HIV impacts young people disproportionately. HIV infection also facilitates infection with other STIs. In the United States, the highest burden of HIV infection is borne by young MSM, with prevalence among those 18 to 24 years old varying between 26% to 30% (black) and 3% to 5.5% (non-Hispanic white).51 The use of emtricitabine/tenofovir disoproxil fumarate for pre-exposure prophylaxis (PrEP) has recently been approved for the prevention of HIV. PrEP reduces risk by up to 92% for MSM and transgender women.58

Sexual identity

One in 10 high school students self-identifies as “nonheterosexual,” and 1 in 15 reports same-sex sexual contact.59 The term LGBTQ+ includes the communities of lesbian, gay, bisexual, transgender, transsexual, queer, questioning, intersex, and asexual individuals. Developing a safe sense of sexual identity is fundamental to adolescent psychological development, and many adolescents struggle to develop a positive sexual identity. Suicide rates and self-harm behaviors among ­LGBTQ+ adolescents can be 4 times higher than among their heterosexual peers.60 Rates of mood disorders, substance abuse, and high-risk sexual behaviors are also increased in the LGBTQ+ population.61

Suicide rates and self-harm behaviors among LGBTQ+ adolescents can be 4 times higher than among their heterosexual peers.

The LGBTQ+ community often seeks health care advice and affirmation from primary care providers. Resources to enhance this care are available at www.lgbthealtheducation.org.

 

Social media

Adolescents today have more media exposure than any prior generation, with smartphone and computer use increasing exponentially. Most (95%) teens have access to a smartphone,62 45% describe themselves as constantly connected to the Internet, and 14% feel that social media is “addictive.”62 Most manage their social media portfolio on multiple sites. Patterns of adolescents' online activities show that boys prefer online gaming, while girls tend to spend more time on social networking.62

Whether extensive media use is psychologically beneficial or deleterious has been widely debated. Increased time online correlates with decreased levels of physical activity.63 And sleep disturbances have been associated with excessive screen time and the presence of mobile devices in the bedroom.64 The use of social media prior to bedtime also has an adverse impact on academic performance—particularly for girls. This adverse impact on academics persists after correcting for daytime sleepiness, body mass index, and number of hours spent on homework.64

Continue to: Due to growing concerns...

 

 

Due to growing concerns about the risks of social media in children and adolescents, the American Academy of Pediatrics has developed the Family Media Plan (www.healthychildren.org/English/media/Pages/default.aspx). Some specific questions that providers may ask are outlined in TABLE 3.64 The Family Media Plan can provide age-specific guidelines to assist parents or caregivers in answering these questions.

Cyber-bullying. One in 3 adolescents (primarily female) has been a victim of cyber-bullying.65 Sadly, 1 in 5 teens has received some form of electronic sexual solicitation.66 The likelihood of unsolicited stranger contact correlates with teens’ online habits and the amount of information disclosed. Predictors include female sex, visiting chat rooms, posting photos, and disclosing personal information. Restricting computer use to an area with parental supervision or installing monitoring programs does not seem to exert any protective influence on cyber-bullying or unsolicited stranger contact.65 While 63% of cyber-bullying victims feel upset, embarrassed, or stressed by these contacts,66 few events are actually reported. To address this, some states have adopted laws adding cyber-bullying to school disciplinary codes.

Adolescents rarely disclose bullying to parents or other adults, fearing restriction of Internet access, and many of them think that adults may downplay the seriousness of the events.

Negative health impacts associated with cyber-bullying include anxiety, sadness, and greater difficulty in concentrating on school work.65 Victims of bullying are more likely to have school disciplinary actions and depression and to be truant or to carry weapons to school.66 Cyber-bullying is uniquely destructive due to its ubiquitous presence. A sense of relative anonymity online may encourage perpetrators to act more cruelly, with less concern for punishment.

 

Young people are also more likely to share passwords as a sign of friendship. This may result in others assuming their identity online. Adolescents rarely disclose bullying to parents or other adults, fearing restriction of Internet access, and many of them think that adults may downplay the seriousness of the events.66

CORRESPONDENCE
Mark B. Stephens, MD, Penn State Health Medical Group, 1850 East Park Avenue, State College, PA 16803; mstephens3@pennstatehealth.psu.edu.

References

1. World Health Organization. Adolescent health. Accessed February 23, 2021. www.who.int/maternal_child_adolescent/adolescence/en/

2. Sawyer SM, Azzopardi PS, Wickremarathne D, et al. The age of adolescence. Lancet Child Adolesc Health. 2018;2:223-228.

3. Pathak PR, Chou A. Confidential care for adoloscents in the U.S. healthcare system. J Patient Cent Res Rev. 2019;6:46-50.

4. AMA Journal of Ethics. HEADSS: the “review of systems” for adolescents. Accessed February 23, 2021. https://journalofethics.ama-assn.org/article/headss-review-systems-adolescents/2005-03

5. Cohen E, MacKenzie RG, Yates GL. HEADSS, a psychosocial risk assessment instrument: implications for designing effective intervention programs for runaway youth. J Adolesc Health. 1991;12:539-544. 

6. Possibilities for Change. Rapid Adolescent Prevention Screening (RAAPS). Accessed February 23, 2021. www.possibilitiesforchange.com/raaps/

7. Elster AB, Kuznets NJ. AMA Guidelines for Adolescent Preventive Services (GAPS): Recommendations and Rationale. Williams & Wilkins; 1994.

8. AAP. Engaging patients and families - periodicity schedule. Accessed February 23, 2021. www.aap.org/en-us/professional-resources/practice-support/Pages/PeriodicitySchedule.aspx

9. Cunningham RM, Walton MA, Carter PM. The major causes of death in children and adolescents in the United States. N Eng J Med. 2018;379:2468-2475.

10. Schuster MA, Franke TM, Bastian AM, et al. Firearm storage patterns in US homes with children. Am J Public Health. 2000;90:588-594.

11. Mokdad AH, Marks JS, Stroup DF, et al. Actual causes of death in the United States. JAMA. 2004;291:1238-1245.

12. HHS. Health consequences of smoking, surgeon general fact sheet. Accessed February 23, 2021. www.hhs.gov/surgeongeneral/reports-and-publications/tobacco/consequences-smoking-factsheet/index.html

13. Johnston LD, Miech RA, O’Malley PM, et al. Monitoring the future: national survey results on drug use, 1975-2017. The University of Michigan. 2018. Accessed February 23, 2021. https://eric.ed.gov/?id=ED589762

14. US Preventive Services Task Force. Prevention and cessation of tobacco use in children and adolescents: primary care interventions. Accessed February 23, 2021. www.uspreventiveservicestaskforce.org/uspstf/recommendation/tobacco-and-nicotine-use-prevention-in-children-and-adolescents-primary-care-interventions

15. HHS. Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General. Atlanta, GA: HHS, CDC, NCCDPHP, OSH; 2012. Accessed February 23, 2021. www.ncbi.nlm.nih.gov/books/NBK99237/

16. NIH. Alcohol screening and brief intervention for youth: a pocket guide. Accessed February 23, 2021. https://pubs.niaaa.nih.gov/publications/Practitioner/YouthGuide/YouthGuidePocket.pdf

17. Gorey C, Kuhns L, Smaragdi E, et al. Age-related differences in the impact of cannabis use on the brain and cognition: a systematic review. Eur Arch Psychiatry Clin Neurosci. 2019;269:37-58.

18. Secades-Villa R, Garcia-Rodriguez O, Jin CJ, et al. Probability and predictors of the cannabis gateway effect: a national study. Int J Drug Policy. 2015;26:135-142.

19. Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance—United States, 2017. MMWR Surveill Summ. 2018;67:1-114.

20. NIH. Drug overdoses in youth. How do drug overdoses happen?. Accessed February 23, 2021. https://teens.drugabuse.gov/drug-facts/drug-overdoses-youth

21. Branstetter SA, Low S, Furman W. The influence of parents and friends on adolescent substance use: a multidimensional approach. J Subst Use. 2011;162:150-160.

22. AAP. Committee on Substance Use and Prevention. Substance use screening, brief intervention, and referral to treatment. Pediatrics. 2016;138:e20161210.

23. Hales CM, Carroll MD, Fryar CD, et al. Prevalence of obesity among adults and youth: United States, 2015–2016. NCHS Data Brief. 2017;288:1-8.

24. Halfon N, Larson K, Slusser W. Associations between obesity and comorbid mental health, developmental and physical health conditions in a nationally representative sample of US children aged 10 to 17. Acad Pediatr. 2013;13:6-13.

25. Griffiths LJ, Parsons TJ, Hill AJ. Self-esteem and quality of life in obese children and adolescents: a systematic review. Int J Pediatr Obes. 2010;5:282-304.

26. National Physical Activity Plan Alliance. The 2018 United States report card on physical activity for children and youth. Accessed February 23, 2021. http://physicalactivityplan.org/projects/PA/2018/2018%20US%20Report%20Card%20Full%20Version_WEB.PDF?pdf=page-link

27. HHS. NIMH. Child and adolescent mental health. Accessed February 23, 2021. www.nimh.nih.gov/health/topics/child-and-adolescent-mental-health/index.shtml

28. Yonek JC, Jordan N, Dunlop D, et al. Patient-centered medical home care for adolescents in need of mental health treatment. J Adolesc Health. 2018;63:172-180.

29. Brooks TL, Harris SK, Thrall JS, et al. Association of adolescent risk behaviors with mental health symptoms in high school students. |J Adolesc Health. 2002;31:240-246.

30. Weller BE, Blanford KL, Butler AM. Estimated prevalence of psychiatric comorbidities in US adolescents with depression by race/ethnicity, 2011-2012. J Adolesc Health. 2018;62:716-721.

31. Bilsen J. Suicide and youth: risk factors. Front Psychiatry. 2018;9:540.

32. Shain B, AAP Committee on Adolescence. Suicide and suicide attempts in adolescents. Pediatrics. 2016;138:e20161420.

33. Brahmbhatt K, Hilty DM, Hah M, et al. Diagnosis and treatment of attention deficit hyperactivity disorder during adolescence in the primary care setting: review and future directions. J Adolesc Health. 2016;59:135-143.

34. Bravender T. Attention-deficit/hyperactivity disorder and disordered eating. [editorial] J Adolesc Health. 2017;61:125-126.

35. Rosen DS, AAP Committee on Adolescence. Identification and management of eating disorders in children and adolescents. Pediatrics. 2010;126:1240-1253.

36. Susman EJ, Houts RM, Steinberg L, et al. Longitudinal development of secondary sexual characteristics in girls and boys between ages 9 ½ and 15 ½ years. Arch Pediatr Adolesc Med. 2010;164:166-173.

37. Kaplowitz PB. Link between body fat and the timing of puberty. Pediatrics. 2008;121(suppl 3):S208-S217.

38. Ge X, Conger RD, Elder GH. Coming of age too early: pubertal influences on girl’s vulnerability to psychologic distress. Child Dev. 1996;67:3386-3400.

39. Jørgensen M, Keiding N, Skakkebaek NE. Estimation of spermarche from longitudinal spermaturia data. Biometrics. 1991;47:177-193.

40. Kar SK, Choudhury A, Singh AP. Understanding normal development of adolescent sexuality: a bumpy ride. J Hum Reprod Sci. 2015;8:70-74.

41. Susman EJ, Dorn LD, Schiefelbein VL. Puberty, sexuality and health. In: Lerner MA, Easterbrooks MA, Mistry J (eds). Comprehensive Handbook of Psychology. Wiley; 2003.

42. Lindberg LD, Santelli JS, Desai S. Changing patterns of contraceptive use and the decline in rates of pregnancy and birth among U.S. adolescents, 2007-2014. J Adolesc Health. 2018;63:253-256.

43. Guttmacher Institute. Teen pregnancy. www.guttmacher.org/united-states/teens/teen-pregnancy. Accessed February 23, 2021.

44. CDC. Social determinants and eliminating disparities in teen pregnancy. Accessed February 23, 2021. www.cdc.gov/teenpregnancy/about/social-determinants-disparities-teen-pregnancy.htm

45. Widman L, Nesi J, Kamke K, et al. Technology-based interventions to reduce sexually transmitted infection and unintended pregnancy among youth. J Adolesc Health. 2018;62:651-660.

46. Secura GM, Allsworth JE, Madden T, et al. The Contraceptive CHOICE Project: reducing barriers to long-acting reversible contraception. Am J Obstet Gynecol. 2010;203:115.e1-115.e7.

47. Ham P, Allen C. Adolescent health screening and counseling. Am Fam Physician. 2012;86:1109-1116.

48. ACOG. Committee on Adolescent Health Care. Adolescent pregnancy, contraception and sexual activity. 2017. Accessed February 23, 2021. www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/05/adolescent-pregnancy-contraception-and-sexual-activity

49. Wangu Z, Burstein GR. Adolescent sexuality: updates to the sexually transmitted infection guidelines. Pediatr Clin N Am. 2017;64:389-411.

50. Holway GV, Hernandez SM. Oral sex and condom use in a U.S. national sample of adolescents and young adults. J Adolesc Health. 2018;62:402-410.

51. CDC. STDs in adults and adolescents. Accessed February 23, 2021. www.cdc.gov/std/stats17/adolescents.htm

52. McClung N, Gargano J, Bennett N, et al. Trends in human papillomavirus vaccine types 16 and 18 in cervical precancers, 2008-2014. Accessed February 23, 2021. https://cebp.aacrjournals.org/content/28/3/602

53. Timbang MR, Sim MW, Bewley AF, et al. HPV-related oropharyngeal cancer: a review on burden of the disease and opportunities for prevention and early detection. Hum Vaccin Immunother. 2019;15:1920-1928.

54. Carey AJ, Beagley KW. Chlamydia trachomatis, a hidden epidemic: effects on female reproduction and options for treatment. Am J Reprod Immunol. 2010;63:576-586.

55. USPSTF. Chlamydia and gonorrhea screening. Accessed February 23, 2021. www.uspreventiveservicestaskforce.org/Page/Document/RecommendationStatementFinal/chlamydia-and-gonorrhea-screening

56. Workowski KA, Bolan GA. Sexually transmitted diseases treatment guidelines, 2015. MMWR Morb Mortal Wkly Rep. 2015;64:1-135.

57. CDC. Sexually transmitted disease surveillance 2018. Accessed February 23, 2021. www.cdc.gov/std/stats18/gonorrhea.htm

58. SAHM. HIV pre-exposure prophylaxis medication for adolescents and young adults: a position paper of the Society for Adolescent Health and Medicine. J Adolesc Health. 2018;63:513-516.

59. Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance–United States, 2015. MMWR Surveill Summ. 2016;65:1-174.

60. CDC. LGBT youth. Accessed February 23, 2021. www.cdc.gov/lgbthealth/youth.htm

61. Johns MM, Lowry R, Rasberry CN, et al. Violence victimization, substance use, and suicide risk among sexual minority high school students – United States, 2015-2017. MMWR Morb Mortal Wkly Rep. 2018;67:1211-1215.

62. Pew Research Center. Teens, social media & technology 2018. . Accessed February 23, 2021. www.pewinternet.org/2018/05/31/teens-social-media-technology-2018/

63. Chassiakos YLR, Radesky J, Christakis D, et al. Children and adolescents and digital media. Pediatrics. 2016;138:e20162593.

64. Arora T, Albahri A, Omar OM, et al. The prospective association between electronic device use before bedtime and academic attainment in adolescents. J Adolesc Health. 2018;63:451-458.

65. Mishna F, Saini M, Solomon S. Ongoing and online: children and youth’s perceptions of cyber bullying. Child Youth Serv Rev. 2009;31:1222-1228.

66. Sengupta A, Chaudhuri A. Are social networking sites a source of online harassment for teens? Evidence from survey data. Child Youth Serv Rev. 2011;33:284-290.

References

1. World Health Organization. Adolescent health. Accessed February 23, 2021. www.who.int/maternal_child_adolescent/adolescence/en/

2. Sawyer SM, Azzopardi PS, Wickremarathne D, et al. The age of adolescence. Lancet Child Adolesc Health. 2018;2:223-228.

3. Pathak PR, Chou A. Confidential care for adoloscents in the U.S. healthcare system. J Patient Cent Res Rev. 2019;6:46-50.

4. AMA Journal of Ethics. HEADSS: the “review of systems” for adolescents. Accessed February 23, 2021. https://journalofethics.ama-assn.org/article/headss-review-systems-adolescents/2005-03

5. Cohen E, MacKenzie RG, Yates GL. HEADSS, a psychosocial risk assessment instrument: implications for designing effective intervention programs for runaway youth. J Adolesc Health. 1991;12:539-544. 

6. Possibilities for Change. Rapid Adolescent Prevention Screening (RAAPS). Accessed February 23, 2021. www.possibilitiesforchange.com/raaps/

7. Elster AB, Kuznets NJ. AMA Guidelines for Adolescent Preventive Services (GAPS): Recommendations and Rationale. Williams & Wilkins; 1994.

8. AAP. Engaging patients and families - periodicity schedule. Accessed February 23, 2021. www.aap.org/en-us/professional-resources/practice-support/Pages/PeriodicitySchedule.aspx

9. Cunningham RM, Walton MA, Carter PM. The major causes of death in children and adolescents in the United States. N Eng J Med. 2018;379:2468-2475.

10. Schuster MA, Franke TM, Bastian AM, et al. Firearm storage patterns in US homes with children. Am J Public Health. 2000;90:588-594.

11. Mokdad AH, Marks JS, Stroup DF, et al. Actual causes of death in the United States. JAMA. 2004;291:1238-1245.

12. HHS. Health consequences of smoking, surgeon general fact sheet. Accessed February 23, 2021. www.hhs.gov/surgeongeneral/reports-and-publications/tobacco/consequences-smoking-factsheet/index.html

13. Johnston LD, Miech RA, O’Malley PM, et al. Monitoring the future: national survey results on drug use, 1975-2017. The University of Michigan. 2018. Accessed February 23, 2021. https://eric.ed.gov/?id=ED589762

14. US Preventive Services Task Force. Prevention and cessation of tobacco use in children and adolescents: primary care interventions. Accessed February 23, 2021. www.uspreventiveservicestaskforce.org/uspstf/recommendation/tobacco-and-nicotine-use-prevention-in-children-and-adolescents-primary-care-interventions

15. HHS. Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General. Atlanta, GA: HHS, CDC, NCCDPHP, OSH; 2012. Accessed February 23, 2021. www.ncbi.nlm.nih.gov/books/NBK99237/

16. NIH. Alcohol screening and brief intervention for youth: a pocket guide. Accessed February 23, 2021. https://pubs.niaaa.nih.gov/publications/Practitioner/YouthGuide/YouthGuidePocket.pdf

17. Gorey C, Kuhns L, Smaragdi E, et al. Age-related differences in the impact of cannabis use on the brain and cognition: a systematic review. Eur Arch Psychiatry Clin Neurosci. 2019;269:37-58.

18. Secades-Villa R, Garcia-Rodriguez O, Jin CJ, et al. Probability and predictors of the cannabis gateway effect: a national study. Int J Drug Policy. 2015;26:135-142.

19. Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance—United States, 2017. MMWR Surveill Summ. 2018;67:1-114.

20. NIH. Drug overdoses in youth. How do drug overdoses happen?. Accessed February 23, 2021. https://teens.drugabuse.gov/drug-facts/drug-overdoses-youth

21. Branstetter SA, Low S, Furman W. The influence of parents and friends on adolescent substance use: a multidimensional approach. J Subst Use. 2011;162:150-160.

22. AAP. Committee on Substance Use and Prevention. Substance use screening, brief intervention, and referral to treatment. Pediatrics. 2016;138:e20161210.

23. Hales CM, Carroll MD, Fryar CD, et al. Prevalence of obesity among adults and youth: United States, 2015–2016. NCHS Data Brief. 2017;288:1-8.

24. Halfon N, Larson K, Slusser W. Associations between obesity and comorbid mental health, developmental and physical health conditions in a nationally representative sample of US children aged 10 to 17. Acad Pediatr. 2013;13:6-13.

25. Griffiths LJ, Parsons TJ, Hill AJ. Self-esteem and quality of life in obese children and adolescents: a systematic review. Int J Pediatr Obes. 2010;5:282-304.

26. National Physical Activity Plan Alliance. The 2018 United States report card on physical activity for children and youth. Accessed February 23, 2021. http://physicalactivityplan.org/projects/PA/2018/2018%20US%20Report%20Card%20Full%20Version_WEB.PDF?pdf=page-link

27. HHS. NIMH. Child and adolescent mental health. Accessed February 23, 2021. www.nimh.nih.gov/health/topics/child-and-adolescent-mental-health/index.shtml

28. Yonek JC, Jordan N, Dunlop D, et al. Patient-centered medical home care for adolescents in need of mental health treatment. J Adolesc Health. 2018;63:172-180.

29. Brooks TL, Harris SK, Thrall JS, et al. Association of adolescent risk behaviors with mental health symptoms in high school students. |J Adolesc Health. 2002;31:240-246.

30. Weller BE, Blanford KL, Butler AM. Estimated prevalence of psychiatric comorbidities in US adolescents with depression by race/ethnicity, 2011-2012. J Adolesc Health. 2018;62:716-721.

31. Bilsen J. Suicide and youth: risk factors. Front Psychiatry. 2018;9:540.

32. Shain B, AAP Committee on Adolescence. Suicide and suicide attempts in adolescents. Pediatrics. 2016;138:e20161420.

33. Brahmbhatt K, Hilty DM, Hah M, et al. Diagnosis and treatment of attention deficit hyperactivity disorder during adolescence in the primary care setting: review and future directions. J Adolesc Health. 2016;59:135-143.

34. Bravender T. Attention-deficit/hyperactivity disorder and disordered eating. [editorial] J Adolesc Health. 2017;61:125-126.

35. Rosen DS, AAP Committee on Adolescence. Identification and management of eating disorders in children and adolescents. Pediatrics. 2010;126:1240-1253.

36. Susman EJ, Houts RM, Steinberg L, et al. Longitudinal development of secondary sexual characteristics in girls and boys between ages 9 ½ and 15 ½ years. Arch Pediatr Adolesc Med. 2010;164:166-173.

37. Kaplowitz PB. Link between body fat and the timing of puberty. Pediatrics. 2008;121(suppl 3):S208-S217.

38. Ge X, Conger RD, Elder GH. Coming of age too early: pubertal influences on girl’s vulnerability to psychologic distress. Child Dev. 1996;67:3386-3400.

39. Jørgensen M, Keiding N, Skakkebaek NE. Estimation of spermarche from longitudinal spermaturia data. Biometrics. 1991;47:177-193.

40. Kar SK, Choudhury A, Singh AP. Understanding normal development of adolescent sexuality: a bumpy ride. J Hum Reprod Sci. 2015;8:70-74.

41. Susman EJ, Dorn LD, Schiefelbein VL. Puberty, sexuality and health. In: Lerner MA, Easterbrooks MA, Mistry J (eds). Comprehensive Handbook of Psychology. Wiley; 2003.

42. Lindberg LD, Santelli JS, Desai S. Changing patterns of contraceptive use and the decline in rates of pregnancy and birth among U.S. adolescents, 2007-2014. J Adolesc Health. 2018;63:253-256.

43. Guttmacher Institute. Teen pregnancy. www.guttmacher.org/united-states/teens/teen-pregnancy. Accessed February 23, 2021.

44. CDC. Social determinants and eliminating disparities in teen pregnancy. Accessed February 23, 2021. www.cdc.gov/teenpregnancy/about/social-determinants-disparities-teen-pregnancy.htm

45. Widman L, Nesi J, Kamke K, et al. Technology-based interventions to reduce sexually transmitted infection and unintended pregnancy among youth. J Adolesc Health. 2018;62:651-660.

46. Secura GM, Allsworth JE, Madden T, et al. The Contraceptive CHOICE Project: reducing barriers to long-acting reversible contraception. Am J Obstet Gynecol. 2010;203:115.e1-115.e7.

47. Ham P, Allen C. Adolescent health screening and counseling. Am Fam Physician. 2012;86:1109-1116.

48. ACOG. Committee on Adolescent Health Care. Adolescent pregnancy, contraception and sexual activity. 2017. Accessed February 23, 2021. www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/05/adolescent-pregnancy-contraception-and-sexual-activity

49. Wangu Z, Burstein GR. Adolescent sexuality: updates to the sexually transmitted infection guidelines. Pediatr Clin N Am. 2017;64:389-411.

50. Holway GV, Hernandez SM. Oral sex and condom use in a U.S. national sample of adolescents and young adults. J Adolesc Health. 2018;62:402-410.

51. CDC. STDs in adults and adolescents. Accessed February 23, 2021. www.cdc.gov/std/stats17/adolescents.htm

52. McClung N, Gargano J, Bennett N, et al. Trends in human papillomavirus vaccine types 16 and 18 in cervical precancers, 2008-2014. Accessed February 23, 2021. https://cebp.aacrjournals.org/content/28/3/602

53. Timbang MR, Sim MW, Bewley AF, et al. HPV-related oropharyngeal cancer: a review on burden of the disease and opportunities for prevention and early detection. Hum Vaccin Immunother. 2019;15:1920-1928.

54. Carey AJ, Beagley KW. Chlamydia trachomatis, a hidden epidemic: effects on female reproduction and options for treatment. Am J Reprod Immunol. 2010;63:576-586.

55. USPSTF. Chlamydia and gonorrhea screening. Accessed February 23, 2021. www.uspreventiveservicestaskforce.org/Page/Document/RecommendationStatementFinal/chlamydia-and-gonorrhea-screening

56. Workowski KA, Bolan GA. Sexually transmitted diseases treatment guidelines, 2015. MMWR Morb Mortal Wkly Rep. 2015;64:1-135.

57. CDC. Sexually transmitted disease surveillance 2018. Accessed February 23, 2021. www.cdc.gov/std/stats18/gonorrhea.htm

58. SAHM. HIV pre-exposure prophylaxis medication for adolescents and young adults: a position paper of the Society for Adolescent Health and Medicine. J Adolesc Health. 2018;63:513-516.

59. Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance–United States, 2015. MMWR Surveill Summ. 2016;65:1-174.

60. CDC. LGBT youth. Accessed February 23, 2021. www.cdc.gov/lgbthealth/youth.htm

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PRACTICE RECOMMENDATIONS

› Consider using a 2-question screening tool for adolescents that asks about personal use of alcohol and use of alcohol by friends; this resource offers a risk assessment with recommendations. C

› Consider using the American Academy of Pediatrics Family Media Plan to provide age-specific guidelines to help parents or caregivers establish rules for online activities. C

Strength of recommendation (SOR)

A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series

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Heart health in pregnancy tied to CV risk in adolescent offspring

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Children born to mothers in poor cardiovascular health during pregnancy had an almost eight times higher risk for landing in the poorest cardiovascular health category in early adolescence than children born to mothers who had ideal cardiovascular health during pregnancy.

Doug Brunk/MDedge News
Dr. Amanda M. Perak

In an observational cohort study that involved 2,302 mother-child dyads, 6.0% of mothers and 2.6% of children were considered to be in the poorest category of cardiovascular health on the basis of specific risk factors.

The children of mothers with any “intermediate” cardiovascular health metrics in pregnancy – for example, being overweight but not obese – were at just more than two times higher risk for poor cardiovascular health in early adolescence.

Although acknowledging the limitations of observational data, Amanda M. Perak, MD, Northwestern University, Chicago, suggested that focusing on whether or not the relationships seen in this study are causal might be throwing the baby out with the bathwater.

“I would suggest that it may not actually matter whether there is causality or correlation here, because if you can identify newborns at birth who have an eight times higher risk for poor cardiovascular health in childhood based on mom’s health during pregnancy, that’s valuable information either way,” said Dr. Perak.

“Even if you don’t know why their risk is elevated, you might be able to target those children for more intensive preventative efforts throughout childhood to help them hold on to their cardiovascular health for longer.”

That said, she thinks it’s possible that the intrauterine environment might actually directly affect offspring health, either through epigenetics modifications to cardiometabolic regulatory genes or possibly through actual organ development. Her group is collecting epigenetic data to study this further.

“We also need to do a study to see if intervening during pregnancy with mothers leads to better cardiovascular health in offspring, and that’s a question we can answer with a clinical trial,” said Dr. Perak.

This study was published on Feb. 16, 2021, in JAMA.
 

Equal footing

“We’ve always talked about cardiovascular health as if everyone is born with ideal cardiovascular health and loses it from there, and I think what this article points out is that not everybody starts on equal footing,” said Stephen R. Daniels, MD, PhD, University of Colorado at Denver, Aurora, who wrote an editorial accompanying the study.

“We need to start upstream, working with mothers before and during pregnancy, but it’s also important to understand, from a pediatric standpoint, that with some of these kids the horse is kind of already out of the barn very early.”

Dr. Daniels is pediatrician in chief and chair of pediatrics at Children’s Hospital Colorado in Aurora.

This study is the first to examine the relevance of maternal gestational cardiovascular health to offspring cardiovascular health and an important first step toward developing new approaches to address the concept of primordial prevention, he said.

“If primary prevention is identifying risk factors and treating them, I think of primordial prevention as preventing the development of those risk factors in the first place,” said Dr. Daniels.

Future trials, he added, should focus on the various mechanistic pathways – biological effects, shared genetics, and lifestyle being the options – to better understand opportunities for intervention.
 

 

 

Mother-child pairs

Dr. Perak and colleagues used data from the Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study and the HAPO Follow-up Study.

Participants were 2,302 mother-child pairs from nine field centers in Barbados, Canada, China, Thailand, United Kingdom, and the United States, and represented a racially and ethnically diverse cohort.

The mean ages were 29.6 years for pregnant mothers and 11.3 years for children. The pregnancies occurred between 2000 and 2006, and the children were examined from 2013 to 2016, when the children were aged 10-14 years.

Using the American Heart Association’s definition of cardiovascular health, the scientists categorized pregnancy health for mothers based on their measures of body mass index, blood pressure, total cholesterol, glucose level, and smoking status at 28 weeks’ gestation. These five metrics of gestational cardiovascular health have been significantly associated with adverse pregnancy outcomes.

They categorized cardiovascular health for offspring at age 10-14 years based on four of these five metrics: body mass index, blood pressure, cholesterol, and glucose.

Only 32.8% of mothers and 42.2% of children had ideal cardiovascular health.

In analyses adjusted for pregnancy and birth outcomes, the associations seen between poor gestational maternal health and offspring cardiovascular health persisted but were attenuated.

Dr. Perak reported receiving grants from the Woman’s Board of Northwestern Memorial Hospital; the Dixon Family; the American Heart Association; and the National Heart, Lung, and Blood Institute. Dr. Daniels reported no conflicts of interest.

A version of this article first appeared on Medscape.com.

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Children born to mothers in poor cardiovascular health during pregnancy had an almost eight times higher risk for landing in the poorest cardiovascular health category in early adolescence than children born to mothers who had ideal cardiovascular health during pregnancy.

Doug Brunk/MDedge News
Dr. Amanda M. Perak

In an observational cohort study that involved 2,302 mother-child dyads, 6.0% of mothers and 2.6% of children were considered to be in the poorest category of cardiovascular health on the basis of specific risk factors.

The children of mothers with any “intermediate” cardiovascular health metrics in pregnancy – for example, being overweight but not obese – were at just more than two times higher risk for poor cardiovascular health in early adolescence.

Although acknowledging the limitations of observational data, Amanda M. Perak, MD, Northwestern University, Chicago, suggested that focusing on whether or not the relationships seen in this study are causal might be throwing the baby out with the bathwater.

“I would suggest that it may not actually matter whether there is causality or correlation here, because if you can identify newborns at birth who have an eight times higher risk for poor cardiovascular health in childhood based on mom’s health during pregnancy, that’s valuable information either way,” said Dr. Perak.

“Even if you don’t know why their risk is elevated, you might be able to target those children for more intensive preventative efforts throughout childhood to help them hold on to their cardiovascular health for longer.”

That said, she thinks it’s possible that the intrauterine environment might actually directly affect offspring health, either through epigenetics modifications to cardiometabolic regulatory genes or possibly through actual organ development. Her group is collecting epigenetic data to study this further.

“We also need to do a study to see if intervening during pregnancy with mothers leads to better cardiovascular health in offspring, and that’s a question we can answer with a clinical trial,” said Dr. Perak.

This study was published on Feb. 16, 2021, in JAMA.
 

Equal footing

“We’ve always talked about cardiovascular health as if everyone is born with ideal cardiovascular health and loses it from there, and I think what this article points out is that not everybody starts on equal footing,” said Stephen R. Daniels, MD, PhD, University of Colorado at Denver, Aurora, who wrote an editorial accompanying the study.

“We need to start upstream, working with mothers before and during pregnancy, but it’s also important to understand, from a pediatric standpoint, that with some of these kids the horse is kind of already out of the barn very early.”

Dr. Daniels is pediatrician in chief and chair of pediatrics at Children’s Hospital Colorado in Aurora.

This study is the first to examine the relevance of maternal gestational cardiovascular health to offspring cardiovascular health and an important first step toward developing new approaches to address the concept of primordial prevention, he said.

“If primary prevention is identifying risk factors and treating them, I think of primordial prevention as preventing the development of those risk factors in the first place,” said Dr. Daniels.

Future trials, he added, should focus on the various mechanistic pathways – biological effects, shared genetics, and lifestyle being the options – to better understand opportunities for intervention.
 

 

 

Mother-child pairs

Dr. Perak and colleagues used data from the Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study and the HAPO Follow-up Study.

Participants were 2,302 mother-child pairs from nine field centers in Barbados, Canada, China, Thailand, United Kingdom, and the United States, and represented a racially and ethnically diverse cohort.

The mean ages were 29.6 years for pregnant mothers and 11.3 years for children. The pregnancies occurred between 2000 and 2006, and the children were examined from 2013 to 2016, when the children were aged 10-14 years.

Using the American Heart Association’s definition of cardiovascular health, the scientists categorized pregnancy health for mothers based on their measures of body mass index, blood pressure, total cholesterol, glucose level, and smoking status at 28 weeks’ gestation. These five metrics of gestational cardiovascular health have been significantly associated with adverse pregnancy outcomes.

They categorized cardiovascular health for offspring at age 10-14 years based on four of these five metrics: body mass index, blood pressure, cholesterol, and glucose.

Only 32.8% of mothers and 42.2% of children had ideal cardiovascular health.

In analyses adjusted for pregnancy and birth outcomes, the associations seen between poor gestational maternal health and offspring cardiovascular health persisted but were attenuated.

Dr. Perak reported receiving grants from the Woman’s Board of Northwestern Memorial Hospital; the Dixon Family; the American Heart Association; and the National Heart, Lung, and Blood Institute. Dr. Daniels reported no conflicts of interest.

A version of this article first appeared on Medscape.com.

Children born to mothers in poor cardiovascular health during pregnancy had an almost eight times higher risk for landing in the poorest cardiovascular health category in early adolescence than children born to mothers who had ideal cardiovascular health during pregnancy.

Doug Brunk/MDedge News
Dr. Amanda M. Perak

In an observational cohort study that involved 2,302 mother-child dyads, 6.0% of mothers and 2.6% of children were considered to be in the poorest category of cardiovascular health on the basis of specific risk factors.

The children of mothers with any “intermediate” cardiovascular health metrics in pregnancy – for example, being overweight but not obese – were at just more than two times higher risk for poor cardiovascular health in early adolescence.

Although acknowledging the limitations of observational data, Amanda M. Perak, MD, Northwestern University, Chicago, suggested that focusing on whether or not the relationships seen in this study are causal might be throwing the baby out with the bathwater.

“I would suggest that it may not actually matter whether there is causality or correlation here, because if you can identify newborns at birth who have an eight times higher risk for poor cardiovascular health in childhood based on mom’s health during pregnancy, that’s valuable information either way,” said Dr. Perak.

“Even if you don’t know why their risk is elevated, you might be able to target those children for more intensive preventative efforts throughout childhood to help them hold on to their cardiovascular health for longer.”

That said, she thinks it’s possible that the intrauterine environment might actually directly affect offspring health, either through epigenetics modifications to cardiometabolic regulatory genes or possibly through actual organ development. Her group is collecting epigenetic data to study this further.

“We also need to do a study to see if intervening during pregnancy with mothers leads to better cardiovascular health in offspring, and that’s a question we can answer with a clinical trial,” said Dr. Perak.

This study was published on Feb. 16, 2021, in JAMA.
 

Equal footing

“We’ve always talked about cardiovascular health as if everyone is born with ideal cardiovascular health and loses it from there, and I think what this article points out is that not everybody starts on equal footing,” said Stephen R. Daniels, MD, PhD, University of Colorado at Denver, Aurora, who wrote an editorial accompanying the study.

“We need to start upstream, working with mothers before and during pregnancy, but it’s also important to understand, from a pediatric standpoint, that with some of these kids the horse is kind of already out of the barn very early.”

Dr. Daniels is pediatrician in chief and chair of pediatrics at Children’s Hospital Colorado in Aurora.

This study is the first to examine the relevance of maternal gestational cardiovascular health to offspring cardiovascular health and an important first step toward developing new approaches to address the concept of primordial prevention, he said.

“If primary prevention is identifying risk factors and treating them, I think of primordial prevention as preventing the development of those risk factors in the first place,” said Dr. Daniels.

Future trials, he added, should focus on the various mechanistic pathways – biological effects, shared genetics, and lifestyle being the options – to better understand opportunities for intervention.
 

 

 

Mother-child pairs

Dr. Perak and colleagues used data from the Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study and the HAPO Follow-up Study.

Participants were 2,302 mother-child pairs from nine field centers in Barbados, Canada, China, Thailand, United Kingdom, and the United States, and represented a racially and ethnically diverse cohort.

The mean ages were 29.6 years for pregnant mothers and 11.3 years for children. The pregnancies occurred between 2000 and 2006, and the children were examined from 2013 to 2016, when the children were aged 10-14 years.

Using the American Heart Association’s definition of cardiovascular health, the scientists categorized pregnancy health for mothers based on their measures of body mass index, blood pressure, total cholesterol, glucose level, and smoking status at 28 weeks’ gestation. These five metrics of gestational cardiovascular health have been significantly associated with adverse pregnancy outcomes.

They categorized cardiovascular health for offspring at age 10-14 years based on four of these five metrics: body mass index, blood pressure, cholesterol, and glucose.

Only 32.8% of mothers and 42.2% of children had ideal cardiovascular health.

In analyses adjusted for pregnancy and birth outcomes, the associations seen between poor gestational maternal health and offspring cardiovascular health persisted but were attenuated.

Dr. Perak reported receiving grants from the Woman’s Board of Northwestern Memorial Hospital; the Dixon Family; the American Heart Association; and the National Heart, Lung, and Blood Institute. Dr. Daniels reported no conflicts of interest.

A version of this article first appeared on Medscape.com.

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