Heidi Splete

Air pollution levels mediated the impact of temperature on oxygen saturation in adults with chronic obstructive pulmonary disease (COPD) based on data from 117 individuals.

COPD is attributed to environmental factors including air pollution, and air pollution has been linked to increased risk of hospitalization and mortality because of acute COPD exacerbation, wrote Huan Minh Tran, PhD, of Taipei (Taiwan) Medical University and colleagues. However, the effects of air pollution on climate-associated health outcomes in COPD have not been explored, they said.

In a study published in Science of The Total Environment the researchers identified 117 adult COPD patients at a single center in Taiwan. They measured lung function, 6-minute walking distance, oxygen desaturation, white blood cell count, and percent emphysema (defined as low attenuation area [LAA]) and linked them to 0- to 1-year, 0- to 3-year, and 0- to 5-year lags in exposures to relative humidity (RH), temperature, and air pollution. The mean age of the participants was 72.9 years; 93% were men.

Pollution was defined in terms of fine particulate matter (PM2.5).

Overall, an increase in RH by 1% was associated with increases in forced expiratory volume in 1 second (FEV₁), eosinophils, and lymphocytes.

A 1% increase in RH also was associated with a decrease in the total-lobe LAA.

As for temperature, an increase of 1° C was associated with decreased oxygen desaturation and with decreases in right-, left-, and upper-lobe LAA values.

When the researchers examined the impact of pollution, they found that a 1 mcg/m³ increase in PM2.5 was associated with a decrease in the FEV₁ as well as with an increase in oxygen desaturation. A 1 mcg/m³ increase in PM10 and PM2.5 was associated with increases in the total-, right-, left, and upper-lobe LAA; increases in lower-lobe LAA were associated with an increase in PM2.5 only.

“This is reasonable because PM2.5 can travel and deposit in distal parts of the lung, while PM10 is preferably deposited in the larger airways of the upper lung regions,” the researchers wrote in their discussion.

A one part per billion increase in nitrogen dioxide (NO₂) was associated with decreased FEV₁ and increased upper-lobe LAA.

“We observed that NO₂ fully mediated the association between RH and FEV₁, while PM2.5 fully mediated associations of temperature with oxygen saturation and emphysema severity in COPD patients,” the researchers added.

The study findings were limited by several factors including the relatively small and homogeneous male, Taiwanese population, which may limit generalizability, the researchers noted. Other limitations included the lack of control for factors such as body mass index, occupational exposure, comorbidities, medication use, and indoor air pollution, they said.

However, the results suggest that air pollution could have an effect on the established associations between climate and adverse health outcomes in COPD, and more research is needed. Climate change–related air pollution is an important public health issue, especially with regards to respiratory disease,” they concluded.

The study was supported by the Ministry of Science and Technology of Taiwan. The researchers had no financial conflicts to disclose.

Air pollution levels mediated the impact of temperature on oxygen saturation in adults with chronic obstructive pulmonary disease (COPD) based on data from 117 individuals.

COPD is attributed to environmental factors including air pollution, and air pollution has been linked to increased risk of hospitalization and mortality because of acute COPD exacerbation, wrote Huan Minh Tran, PhD, of Taipei (Taiwan) Medical University and colleagues. However, the effects of air pollution on climate-associated health outcomes in COPD have not been explored, they said.

In a study published in Science of The Total Environment the researchers identified 117 adult COPD patients at a single center in Taiwan. They measured lung function, 6-minute walking distance, oxygen desaturation, white blood cell count, and percent emphysema (defined as low attenuation area [LAA]) and linked them to 0- to 1-year, 0- to 3-year, and 0- to 5-year lags in exposures to relative humidity (RH), temperature, and air pollution. The mean age of the participants was 72.9 years; 93% were men.

Pollution was defined in terms of fine particulate matter (PM2.5).

Overall, an increase in RH by 1% was associated with increases in forced expiratory volume in 1 second (FEV₁), eosinophils, and lymphocytes.

A 1% increase in RH also was associated with a decrease in the total-lobe LAA.

As for temperature, an increase of 1° C was associated with decreased oxygen desaturation and with decreases in right-, left-, and upper-lobe LAA values.

When the researchers examined the impact of pollution, they found that a 1 mcg/m³ increase in PM2.5 was associated with a decrease in the FEV₁ as well as with an increase in oxygen desaturation. A 1 mcg/m³ increase in PM10 and PM2.5 was associated with increases in the total-, right-, left, and upper-lobe LAA; increases in lower-lobe LAA were associated with an increase in PM2.5 only.

“This is reasonable because PM2.5 can travel and deposit in distal parts of the lung, while PM10 is preferably deposited in the larger airways of the upper lung regions,” the researchers wrote in their discussion.

A one part per billion increase in nitrogen dioxide (NO₂) was associated with decreased FEV₁ and increased upper-lobe LAA.

“We observed that NO₂ fully mediated the association between RH and FEV₁, while PM2.5 fully mediated associations of temperature with oxygen saturation and emphysema severity in COPD patients,” the researchers added.

The study findings were limited by several factors including the relatively small and homogeneous male, Taiwanese population, which may limit generalizability, the researchers noted. Other limitations included the lack of control for factors such as body mass index, occupational exposure, comorbidities, medication use, and indoor air pollution, they said.

However, the results suggest that air pollution could have an effect on the established associations between climate and adverse health outcomes in COPD, and more research is needed. Climate change–related air pollution is an important public health issue, especially with regards to respiratory disease,” they concluded.

The study was supported by the Ministry of Science and Technology of Taiwan. The researchers had no financial conflicts to disclose.

Air pollution levels mediated the impact of temperature on oxygen saturation in adults with chronic obstructive pulmonary disease (COPD) based on data from 117 individuals.

COPD is attributed to environmental factors including air pollution, and air pollution has been linked to increased risk of hospitalization and mortality because of acute COPD exacerbation, wrote Huan Minh Tran, PhD, of Taipei (Taiwan) Medical University and colleagues. However, the effects of air pollution on climate-associated health outcomes in COPD have not been explored, they said.

In a study published in Science of The Total Environment the researchers identified 117 adult COPD patients at a single center in Taiwan. They measured lung function, 6-minute walking distance, oxygen desaturation, white blood cell count, and percent emphysema (defined as low attenuation area [LAA]) and linked them to 0- to 1-year, 0- to 3-year, and 0- to 5-year lags in exposures to relative humidity (RH), temperature, and air pollution. The mean age of the participants was 72.9 years; 93% were men.

Pollution was defined in terms of fine particulate matter (PM2.5).

Overall, an increase in RH by 1% was associated with increases in forced expiratory volume in 1 second (FEV₁), eosinophils, and lymphocytes.

A 1% increase in RH also was associated with a decrease in the total-lobe LAA.

As for temperature, an increase of 1° C was associated with decreased oxygen desaturation and with decreases in right-, left-, and upper-lobe LAA values.

When the researchers examined the impact of pollution, they found that a 1 mcg/m³ increase in PM2.5 was associated with a decrease in the FEV₁ as well as with an increase in oxygen desaturation. A 1 mcg/m³ increase in PM10 and PM2.5 was associated with increases in the total-, right-, left, and upper-lobe LAA; increases in lower-lobe LAA were associated with an increase in PM2.5 only.

“This is reasonable because PM2.5 can travel and deposit in distal parts of the lung, while PM10 is preferably deposited in the larger airways of the upper lung regions,” the researchers wrote in their discussion.

A one part per billion increase in nitrogen dioxide (NO₂) was associated with decreased FEV₁ and increased upper-lobe LAA.

“We observed that NO₂ fully mediated the association between RH and FEV₁, while PM2.5 fully mediated associations of temperature with oxygen saturation and emphysema severity in COPD patients,” the researchers added.

The study findings were limited by several factors including the relatively small and homogeneous male, Taiwanese population, which may limit generalizability, the researchers noted. Other limitations included the lack of control for factors such as body mass index, occupational exposure, comorbidities, medication use, and indoor air pollution, they said.

However, the results suggest that air pollution could have an effect on the established associations between climate and adverse health outcomes in COPD, and more research is needed. Climate change–related air pollution is an important public health issue, especially with regards to respiratory disease,” they concluded.

The study was supported by the Ministry of Science and Technology of Taiwan. The researchers had no financial conflicts to disclose.

Women with type 1 diabetes may need additional glucose after exercise during the luteal phase of the menstrual cycle, compared with other times, according to a study in nine women.

“We know that exercise is very beneficial for people with type 1 diabetes; we also know that fear of hypoglycemia is a major barrier to exercise in this population,” said Jane E. Yardley, PhD, in a presentation at the annual scientific sessions of the American Diabetes Association, New Orleans. Women with type 1 diabetes (T1D) perceive more barriers, compared with men, she added.

The menstrual cycle could be an additional barrier to exercise for women with T1D because it increases glucose fluctuations that have not been well documented in the literature to date, said Dr. Yardley, of the University of Alberta, Augustana.

The follicular phase of the menstrual cycle lasts from menses to the midcycle, about 14 days later. This is followed by the luteal phase, which lasts until approximately day 28, Dr. Yardley explained. Data on insulin sensitivity have shown that the late luteal phase is associated with “a little less insulin sensitivity” in women with T1D, she noted.

To assess the relationship between menstrual cycle, glucose control, and exercise, Dr. Yardley and colleagues compared the effects of a moderate aerobic exercise on glycemic responses between the early follicular and late luteal phases of the menstrual cycle in nine female participants with T1D.

The exercise involved 45 minutes of aerobic cycling at 50% of predetermined peak oxygen uptake (VO2peak) for 45 min. The mean age of the participants was 30.2 years, the mean hemoglobin A1C was 7.4%, and the mean VO2peak was 32.5 mL/kg per min. The women reported regular menstrual cycles, and none were using oral contraceptives.

Blood samples were collected before and immediately after exercise and after an hour of recovery. Participants wore continuous glucose monitors for at least 1 hour before and after exercise.

Menstrual cycle was confirmed via estrogen, estradiol, and progesterone.

Insulin levels varied greatly among the study participants, but the differences were not significant, Dr. Yardley said. Glucose levels consistently decreased during exercise and increased after exercise, she noted.

No significant difference in glucose was observed between the follicular and luteal phases.

However, “this needs to be interpreted in the context of the safety profiles that are in place in our lab,” which include carbohydrate supplements for individuals whose blood glucose levels drop below 4.5 mmol/L, she said.

In the current study, 6 of 9 participants required additional carbohydrates during the luteal phase, but only 1 participant needed additional carbohydrates during the follicular phase, she noted. For this reason, no differences were noted. “We actually prevented changes,” she said.

No significant differences were noted in mean glucose levels or number of hypoglycemic episodes at any of the time points between the two phases.

“One place where we did see a difference was in hyperglycemia 24 hours after exercise,” Dr. Yardley said. Level 1 hyperglycemia 24 hours after exercise was significantly more frequent in the follicular phase, compared with the luteal phase (P = .028).

The study findings were limited by the small sample size and homogenous population, and more research is needed to interpret the data, said Dr. Yardley.

However, the need for more glucose supplementation to prevent hypoglycemia during the luteal phase suggests a higher hypoglycemic risk associated with aerobic exercise during this time, she said.

In addition, the results suggest that the menstrual cycle should be taken into consideration when female participants are involved in exercise studies, she noted.

Study supports personalized exercise plans

“It is important to evaluate effects of exercise in people with type 1 diabetes and evaluate whether there is a difference those effects in men and women,” said Helena W. Rodbard, MD, an endocrinologist in private practice in Rockville, Md., in an interview. “There is also a need to evaluate to what extent the changes in blood glucose patterns in women in response to exercise differ depending on the phase of the ovarian cycle,” said Dr. Rodbard, who was not involved in the study.

In the current study, “the researchers observed a decline in glucose during a 45-minute period of moderate aerobic exercise, cycling at 50% VO2peak followed by an increase during a 60-minute recovery period. There was a suggestive finding, in the nine subjects, that more carbohydrate supplementation was needed during the late luteal phase of the menstrual cycle than during the follicular phase,” Dr. Rodbard noted. “In contrast, the authors reported a significantly increased degree of hyperglycemia during the recovery phase for subjects during the follicular phase. These findings are consistent with and extend several recent studies from Dr. Yardley and coworkers, who have been focused on this area of research,” she said.

“This study provides provocative evidence that glucose responses to aerobic exercise in women may depend on the timing in relationship to their ovarian cycle,” said Dr. Rodbard. “These findings are based on a small group of subjects and were present in some but not all subjects. Clinicians should encourage women to evaluate and record their experiences during and after exercise in terms of need for carbohydrate supplementation for documented or symptomatic hypoglycemia and in terms of glucose changes as recorded using continuous glucose monitoring (CGM), both in relation to type of exercise and in relation to time in the menstrual cycle,” she said.

The findings also highlight the importance of individualized therapy that is “based on subjective inputs combined with analysis of CGM data during and following exercise,” said Dr. Rodbard. “It is likely that use of Automated Insulin Delivery (AID) will be helpful in achieving this level of individualization in view of the wide range of types, intensity, and duration of physical activity and exercise in which people with T1D engage and the myriad factors that can influence the glycemic response,” she said.

Looking ahead, “the authors and others should expand the present series of subjects using aerobic exercise and examine other types of exercise as well,” Dr. Rodbard noted. “It will be important to evaluate the consistency of these changes in glucose patterns within individuals on multiple occasions, and it would be helpful to repeat the studies in women using oral contraceptives.”

Dr. Yardley disclosed research support from Abbott, Dexcom, and LifeScan and disclosed serving on the speaker’s bureau for Abbott Diabetes. Dr. Rodbard had no financial conflicts to disclose. She serves on the Editorial Advisory Board of Clinical Endocrinology News.

Women with type 1 diabetes may need additional glucose after exercise during the luteal phase of the menstrual cycle, compared with other times, according to a study in nine women.

“We know that exercise is very beneficial for people with type 1 diabetes; we also know that fear of hypoglycemia is a major barrier to exercise in this population,” said Jane E. Yardley, PhD, in a presentation at the annual scientific sessions of the American Diabetes Association, New Orleans. Women with type 1 diabetes (T1D) perceive more barriers, compared with men, she added.

The menstrual cycle could be an additional barrier to exercise for women with T1D because it increases glucose fluctuations that have not been well documented in the literature to date, said Dr. Yardley, of the University of Alberta, Augustana.

The follicular phase of the menstrual cycle lasts from menses to the midcycle, about 14 days later. This is followed by the luteal phase, which lasts until approximately day 28, Dr. Yardley explained. Data on insulin sensitivity have shown that the late luteal phase is associated with “a little less insulin sensitivity” in women with T1D, she noted.

To assess the relationship between menstrual cycle, glucose control, and exercise, Dr. Yardley and colleagues compared the effects of a moderate aerobic exercise on glycemic responses between the early follicular and late luteal phases of the menstrual cycle in nine female participants with T1D.

The exercise involved 45 minutes of aerobic cycling at 50% of predetermined peak oxygen uptake (VO2peak) for 45 min. The mean age of the participants was 30.2 years, the mean hemoglobin A1C was 7.4%, and the mean VO2peak was 32.5 mL/kg per min. The women reported regular menstrual cycles, and none were using oral contraceptives.

Blood samples were collected before and immediately after exercise and after an hour of recovery. Participants wore continuous glucose monitors for at least 1 hour before and after exercise.

Menstrual cycle was confirmed via estrogen, estradiol, and progesterone.

Insulin levels varied greatly among the study participants, but the differences were not significant, Dr. Yardley said. Glucose levels consistently decreased during exercise and increased after exercise, she noted.

No significant difference in glucose was observed between the follicular and luteal phases.

However, “this needs to be interpreted in the context of the safety profiles that are in place in our lab,” which include carbohydrate supplements for individuals whose blood glucose levels drop below 4.5 mmol/L, she said.

In the current study, 6 of 9 participants required additional carbohydrates during the luteal phase, but only 1 participant needed additional carbohydrates during the follicular phase, she noted. For this reason, no differences were noted. “We actually prevented changes,” she said.

No significant differences were noted in mean glucose levels or number of hypoglycemic episodes at any of the time points between the two phases.

“One place where we did see a difference was in hyperglycemia 24 hours after exercise,” Dr. Yardley said. Level 1 hyperglycemia 24 hours after exercise was significantly more frequent in the follicular phase, compared with the luteal phase (P = .028).

The study findings were limited by the small sample size and homogenous population, and more research is needed to interpret the data, said Dr. Yardley.

However, the need for more glucose supplementation to prevent hypoglycemia during the luteal phase suggests a higher hypoglycemic risk associated with aerobic exercise during this time, she said.

In addition, the results suggest that the menstrual cycle should be taken into consideration when female participants are involved in exercise studies, she noted.

Study supports personalized exercise plans

“It is important to evaluate effects of exercise in people with type 1 diabetes and evaluate whether there is a difference those effects in men and women,” said Helena W. Rodbard, MD, an endocrinologist in private practice in Rockville, Md., in an interview. “There is also a need to evaluate to what extent the changes in blood glucose patterns in women in response to exercise differ depending on the phase of the ovarian cycle,” said Dr. Rodbard, who was not involved in the study.

In the current study, “the researchers observed a decline in glucose during a 45-minute period of moderate aerobic exercise, cycling at 50% VO2peak followed by an increase during a 60-minute recovery period. There was a suggestive finding, in the nine subjects, that more carbohydrate supplementation was needed during the late luteal phase of the menstrual cycle than during the follicular phase,” Dr. Rodbard noted. “In contrast, the authors reported a significantly increased degree of hyperglycemia during the recovery phase for subjects during the follicular phase. These findings are consistent with and extend several recent studies from Dr. Yardley and coworkers, who have been focused on this area of research,” she said.

“This study provides provocative evidence that glucose responses to aerobic exercise in women may depend on the timing in relationship to their ovarian cycle,” said Dr. Rodbard. “These findings are based on a small group of subjects and were present in some but not all subjects. Clinicians should encourage women to evaluate and record their experiences during and after exercise in terms of need for carbohydrate supplementation for documented or symptomatic hypoglycemia and in terms of glucose changes as recorded using continuous glucose monitoring (CGM), both in relation to type of exercise and in relation to time in the menstrual cycle,” she said.

The findings also highlight the importance of individualized therapy that is “based on subjective inputs combined with analysis of CGM data during and following exercise,” said Dr. Rodbard. “It is likely that use of Automated Insulin Delivery (AID) will be helpful in achieving this level of individualization in view of the wide range of types, intensity, and duration of physical activity and exercise in which people with T1D engage and the myriad factors that can influence the glycemic response,” she said.

Looking ahead, “the authors and others should expand the present series of subjects using aerobic exercise and examine other types of exercise as well,” Dr. Rodbard noted. “It will be important to evaluate the consistency of these changes in glucose patterns within individuals on multiple occasions, and it would be helpful to repeat the studies in women using oral contraceptives.”

Dr. Yardley disclosed research support from Abbott, Dexcom, and LifeScan and disclosed serving on the speaker’s bureau for Abbott Diabetes. Dr. Rodbard had no financial conflicts to disclose. She serves on the Editorial Advisory Board of Clinical Endocrinology News.

Women with type 1 diabetes may need additional glucose after exercise during the luteal phase of the menstrual cycle, compared with other times, according to a study in nine women.

“We know that exercise is very beneficial for people with type 1 diabetes; we also know that fear of hypoglycemia is a major barrier to exercise in this population,” said Jane E. Yardley, PhD, in a presentation at the annual scientific sessions of the American Diabetes Association, New Orleans. Women with type 1 diabetes (T1D) perceive more barriers, compared with men, she added.

The menstrual cycle could be an additional barrier to exercise for women with T1D because it increases glucose fluctuations that have not been well documented in the literature to date, said Dr. Yardley, of the University of Alberta, Augustana.

The follicular phase of the menstrual cycle lasts from menses to the midcycle, about 14 days later. This is followed by the luteal phase, which lasts until approximately day 28, Dr. Yardley explained. Data on insulin sensitivity have shown that the late luteal phase is associated with “a little less insulin sensitivity” in women with T1D, she noted.

To assess the relationship between menstrual cycle, glucose control, and exercise, Dr. Yardley and colleagues compared the effects of a moderate aerobic exercise on glycemic responses between the early follicular and late luteal phases of the menstrual cycle in nine female participants with T1D.

The exercise involved 45 minutes of aerobic cycling at 50% of predetermined peak oxygen uptake (VO2peak) for 45 min. The mean age of the participants was 30.2 years, the mean hemoglobin A1C was 7.4%, and the mean VO2peak was 32.5 mL/kg per min. The women reported regular menstrual cycles, and none were using oral contraceptives.

Blood samples were collected before and immediately after exercise and after an hour of recovery. Participants wore continuous glucose monitors for at least 1 hour before and after exercise.

Menstrual cycle was confirmed via estrogen, estradiol, and progesterone.

Insulin levels varied greatly among the study participants, but the differences were not significant, Dr. Yardley said. Glucose levels consistently decreased during exercise and increased after exercise, she noted.

No significant difference in glucose was observed between the follicular and luteal phases.

However, “this needs to be interpreted in the context of the safety profiles that are in place in our lab,” which include carbohydrate supplements for individuals whose blood glucose levels drop below 4.5 mmol/L, she said.

In the current study, 6 of 9 participants required additional carbohydrates during the luteal phase, but only 1 participant needed additional carbohydrates during the follicular phase, she noted. For this reason, no differences were noted. “We actually prevented changes,” she said.

No significant differences were noted in mean glucose levels or number of hypoglycemic episodes at any of the time points between the two phases.

“One place where we did see a difference was in hyperglycemia 24 hours after exercise,” Dr. Yardley said. Level 1 hyperglycemia 24 hours after exercise was significantly more frequent in the follicular phase, compared with the luteal phase (P = .028).

The study findings were limited by the small sample size and homogenous population, and more research is needed to interpret the data, said Dr. Yardley.

However, the need for more glucose supplementation to prevent hypoglycemia during the luteal phase suggests a higher hypoglycemic risk associated with aerobic exercise during this time, she said.

In addition, the results suggest that the menstrual cycle should be taken into consideration when female participants are involved in exercise studies, she noted.

Study supports personalized exercise plans

“It is important to evaluate effects of exercise in people with type 1 diabetes and evaluate whether there is a difference those effects in men and women,” said Helena W. Rodbard, MD, an endocrinologist in private practice in Rockville, Md., in an interview. “There is also a need to evaluate to what extent the changes in blood glucose patterns in women in response to exercise differ depending on the phase of the ovarian cycle,” said Dr. Rodbard, who was not involved in the study.

In the current study, “the researchers observed a decline in glucose during a 45-minute period of moderate aerobic exercise, cycling at 50% VO2peak followed by an increase during a 60-minute recovery period. There was a suggestive finding, in the nine subjects, that more carbohydrate supplementation was needed during the late luteal phase of the menstrual cycle than during the follicular phase,” Dr. Rodbard noted. “In contrast, the authors reported a significantly increased degree of hyperglycemia during the recovery phase for subjects during the follicular phase. These findings are consistent with and extend several recent studies from Dr. Yardley and coworkers, who have been focused on this area of research,” she said.

“This study provides provocative evidence that glucose responses to aerobic exercise in women may depend on the timing in relationship to their ovarian cycle,” said Dr. Rodbard. “These findings are based on a small group of subjects and were present in some but not all subjects. Clinicians should encourage women to evaluate and record their experiences during and after exercise in terms of need for carbohydrate supplementation for documented or symptomatic hypoglycemia and in terms of glucose changes as recorded using continuous glucose monitoring (CGM), both in relation to type of exercise and in relation to time in the menstrual cycle,” she said.

The findings also highlight the importance of individualized therapy that is “based on subjective inputs combined with analysis of CGM data during and following exercise,” said Dr. Rodbard. “It is likely that use of Automated Insulin Delivery (AID) will be helpful in achieving this level of individualization in view of the wide range of types, intensity, and duration of physical activity and exercise in which people with T1D engage and the myriad factors that can influence the glycemic response,” she said.

Looking ahead, “the authors and others should expand the present series of subjects using aerobic exercise and examine other types of exercise as well,” Dr. Rodbard noted. “It will be important to evaluate the consistency of these changes in glucose patterns within individuals on multiple occasions, and it would be helpful to repeat the studies in women using oral contraceptives.”

Dr. Yardley disclosed research support from Abbott, Dexcom, and LifeScan and disclosed serving on the speaker’s bureau for Abbott Diabetes. Dr. Rodbard had no financial conflicts to disclose. She serves on the Editorial Advisory Board of Clinical Endocrinology News.

Cannabis users had a 22% increased risk of an emergency department (ED) visit or hospitalization compared to nonusers, as determined from data from more than 30,000 individuals.

Although cannabis contains compounds similar to tobacco, “data published on the association between cannabis smoking and airways health have been contradictory,” and whether smoking cannabis increases a user’s risk of developing acute respiratory illness remains unclear, wrote Nicholas T. Vozoris, MD, of the University of Toronto, and colleagues.

Smithore/Getty Images

In a study published in BMJ Open Respiratory Research, the investigators reviewed national health records data from 35,114 individuals aged 12-65 years for the period January 2009 to December 2015. Of these persons, 4,807 of the 6,425 who reported cannabis use in the past year were matched with 10,395 never-users who served as controls. The mean age of the study population at the index date was 35 years, and 42% were women; demographics were similar between users and control persons.

Overall, the odds of respiratory-related emergency department visits or hospitalizations were not significantly different between the cannabis users and the control persons (3.6% vs. 3.9%; odds ratio, 0.91). However, cannabis users had significantly greater odds of all-cause ED visits or hospitalizations (30.0% vs. 26.0%; OR, 1.22). All-cause mortality was 0.2% for both groups.

Respiratory problems were the second-highest reason for all-cause visits, the researchers noted. The lack of a difference in respiratory-related visits between cannabis users and nonusers conflicts somewhat with previous studies on this topic, which were limited, the researchers noted in their discussion.

The negative results also might stem from factors for which the researchers could not adjust, including insufficient cannabis smoke exposure among users in the study population, noninhalational cannabis use, which is less likely to have a respiratory effect, and possible secondhand exposure among control persons.

“It is also possible that our analysis might have been insufficiently powered to detect a significant signal with respect to the primary outcome,” they noted.

However, after the researchers controlled for multiple variables, the risk of an equally important morbidity outcome, all-cause ED visits or hospitalizations, was significantly greater among cannabis users than among control individuals, and respiratory reasons were the second most common cause for ED visits and hospitalizations in the all-cause outcome, they emphasized.

The study findings were limited by several factors, including the retrospective and observational design and the inability to control for all confounding variables, the researchers noted. Other limitations include the use of self-reports and potential for bias, the inability to perform dose-response analysis, and the high number of infrequent cannabis users in the study population.

However, the results suggest that cannabis use is associated with an increased risk of serious health events and should be discouraged, although more research is needed to confirm the current study findings, they concluded.
 

Consider range of causes for cannabis emergency visits

“With growing numbers of states legalizing recreational use of cannabis, it’s important to understand whether cannabis use is associated with increased emergency department visits,” Robert D. Glatter, MD, an emergency medicine physician at Lenox Hill Hospital, New York, told this news organization.

Previous studies have shown an association between increased ED visits and cannabis use in states, especially with edibles, where cannabis is legal, and “the current study reinforces the elevated risk of ED visits along with hospitalizations,” he said.

“While the researchers found no increased risk of respiratory-related complaints among users compared to the general population, there was an associated increase in ED visits and hospitalizations, which is important to understand,” said Dr. Glatter, who was not involved in the study.

“While this observational study found that the incidence of respiratory complaints was not significantly different among frequent users of cannabis, the increased odds that cannabis users would require evaluation in the emergency room or even hospitalization was still apparent even after the investigators controlled for such factors as use of alcohol, tobacco, illicit drug use, or other mental health–related disorders,” Dr. Glatter noted.

“That said, it’s a bit surprising that with the continued popularity of vaping, especially among teens, there was still not any appreciable or significant increase in respiratory complaints observed. Beyond this finding, I was not surprised by the overall conclusions of the current study, as we continue to see an elevated number of patients presenting to the ED with adverse events related to cannabis use.”

Dr. Glatter noted that “the majority of patients we see in the ED are associated with use of edibles, since it takes longer for the person to feel the effects, leading the user to consume more of the product up front, with delayed effects lasting up to 12 hours. This is what gets people into trouble and leads to toxicity of cannabis, or ‘overdoses,’ “ he explained.

When consuming edible cannabis products, “[p]eople need to begin at low dosages and not take additional gummies up front, since it can take up to 2 or even 3 hours in some cases to feel the initial effects. With the drug’s effects lasting up to 12 hours, it’s especially important to avoid operating any motor vehicles, bicycles, or scooters, since reaction time is impaired, as well as overall judgment, balance, and fine motor skills,” Dr. Glatter said.

Cannabis can land users in the ED for a range of reasons, said Dr. Glatter. “According to the study, 15% of the emergency room visits and hospitalizations were due to acute trauma, 14% due to respiratory issues, and 13% to gastrointestinal illnesses. These effects were seen in first-time users but not those with chronic use, according to the study inclusion criteria.”

Cannabis use could result in physical injuries through “impaired judgment, coordination, combined with an altered state of consciousness or generalized drowsiness, that could contribute to an increase in motor vehicle collisions, along with an increased risk for falls leading to lacerations, fractures, contusions, or bruising,” said Dr. Glatter. “Cannabis may also lead to an altered sense of perception related to interactions with others, resulting in feelings of anxiety or restlessness culminating in physical altercations and other injuries.”

The current study indicates the need for understanding the potential physical and psychological effects of cannabis use, he said.

“Additional research is needed to better understand the relative percentage cases related to edibles vs. inhalation presenting to the ED,” he noted. “There is no question that edibles continue to present significant dangers for those who don’t read labels or remain poorly informed regarding their dosing as a result of delayed onset and longer duration,” he said. To help reduce risk of toxicity, the concept of a “high lasting 12-15 hours, as with edibles, as opposed to 3-4 hours from inhalation must be clearly stated on packaging and better communicated with users, as the toxicity with edibles is more often from lack of prior knowledge about onset of effects related to dosing.”

In addition, the “potential for psychosis to develop with more chronic cannabis use, along with cannabinoid hyperemesis syndrome should be on every clinician’s radar,” Dr. Glatter emphasized.

“The bottom line is that as more states legalize the use of cannabis, it’s vital to also implement comprehensive public education efforts to provide users with the reported risks associated with not only inhalation (vaping or flower) but also edibles, which account for an increasingly greater percentage of ED visits and associated adverse effects,” he said.

The study was supported by the Lung Association–Ontario, as well as by grants from the Ontario Ministry of Health and the Ministry of Long-Term Care. The researchers and Dr. Glatter have disclosed no relevant financial relationships.

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

Cannabis users had a 22% increased risk of an emergency department (ED) visit or hospitalization compared to nonusers, as determined from data from more than 30,000 individuals.

Although cannabis contains compounds similar to tobacco, “data published on the association between cannabis smoking and airways health have been contradictory,” and whether smoking cannabis increases a user’s risk of developing acute respiratory illness remains unclear, wrote Nicholas T. Vozoris, MD, of the University of Toronto, and colleagues.

Smithore/Getty Images

In a study published in BMJ Open Respiratory Research, the investigators reviewed national health records data from 35,114 individuals aged 12-65 years for the period January 2009 to December 2015. Of these persons, 4,807 of the 6,425 who reported cannabis use in the past year were matched with 10,395 never-users who served as controls. The mean age of the study population at the index date was 35 years, and 42% were women; demographics were similar between users and control persons.

Overall, the odds of respiratory-related emergency department visits or hospitalizations were not significantly different between the cannabis users and the control persons (3.6% vs. 3.9%; odds ratio, 0.91). However, cannabis users had significantly greater odds of all-cause ED visits or hospitalizations (30.0% vs. 26.0%; OR, 1.22). All-cause mortality was 0.2% for both groups.

Respiratory problems were the second-highest reason for all-cause visits, the researchers noted. The lack of a difference in respiratory-related visits between cannabis users and nonusers conflicts somewhat with previous studies on this topic, which were limited, the researchers noted in their discussion.

The negative results also might stem from factors for which the researchers could not adjust, including insufficient cannabis smoke exposure among users in the study population, noninhalational cannabis use, which is less likely to have a respiratory effect, and possible secondhand exposure among control persons.

“It is also possible that our analysis might have been insufficiently powered to detect a significant signal with respect to the primary outcome,” they noted.

However, after the researchers controlled for multiple variables, the risk of an equally important morbidity outcome, all-cause ED visits or hospitalizations, was significantly greater among cannabis users than among control individuals, and respiratory reasons were the second most common cause for ED visits and hospitalizations in the all-cause outcome, they emphasized.

The study findings were limited by several factors, including the retrospective and observational design and the inability to control for all confounding variables, the researchers noted. Other limitations include the use of self-reports and potential for bias, the inability to perform dose-response analysis, and the high number of infrequent cannabis users in the study population.

However, the results suggest that cannabis use is associated with an increased risk of serious health events and should be discouraged, although more research is needed to confirm the current study findings, they concluded.
 

Consider range of causes for cannabis emergency visits

“With growing numbers of states legalizing recreational use of cannabis, it’s important to understand whether cannabis use is associated with increased emergency department visits,” Robert D. Glatter, MD, an emergency medicine physician at Lenox Hill Hospital, New York, told this news organization.

Previous studies have shown an association between increased ED visits and cannabis use in states, especially with edibles, where cannabis is legal, and “the current study reinforces the elevated risk of ED visits along with hospitalizations,” he said.

“While the researchers found no increased risk of respiratory-related complaints among users compared to the general population, there was an associated increase in ED visits and hospitalizations, which is important to understand,” said Dr. Glatter, who was not involved in the study.

“While this observational study found that the incidence of respiratory complaints was not significantly different among frequent users of cannabis, the increased odds that cannabis users would require evaluation in the emergency room or even hospitalization was still apparent even after the investigators controlled for such factors as use of alcohol, tobacco, illicit drug use, or other mental health–related disorders,” Dr. Glatter noted.

“That said, it’s a bit surprising that with the continued popularity of vaping, especially among teens, there was still not any appreciable or significant increase in respiratory complaints observed. Beyond this finding, I was not surprised by the overall conclusions of the current study, as we continue to see an elevated number of patients presenting to the ED with adverse events related to cannabis use.”

Dr. Glatter noted that “the majority of patients we see in the ED are associated with use of edibles, since it takes longer for the person to feel the effects, leading the user to consume more of the product up front, with delayed effects lasting up to 12 hours. This is what gets people into trouble and leads to toxicity of cannabis, or ‘overdoses,’ “ he explained.

When consuming edible cannabis products, “[p]eople need to begin at low dosages and not take additional gummies up front, since it can take up to 2 or even 3 hours in some cases to feel the initial effects. With the drug’s effects lasting up to 12 hours, it’s especially important to avoid operating any motor vehicles, bicycles, or scooters, since reaction time is impaired, as well as overall judgment, balance, and fine motor skills,” Dr. Glatter said.

Cannabis can land users in the ED for a range of reasons, said Dr. Glatter. “According to the study, 15% of the emergency room visits and hospitalizations were due to acute trauma, 14% due to respiratory issues, and 13% to gastrointestinal illnesses. These effects were seen in first-time users but not those with chronic use, according to the study inclusion criteria.”

Cannabis use could result in physical injuries through “impaired judgment, coordination, combined with an altered state of consciousness or generalized drowsiness, that could contribute to an increase in motor vehicle collisions, along with an increased risk for falls leading to lacerations, fractures, contusions, or bruising,” said Dr. Glatter. “Cannabis may also lead to an altered sense of perception related to interactions with others, resulting in feelings of anxiety or restlessness culminating in physical altercations and other injuries.”

The current study indicates the need for understanding the potential physical and psychological effects of cannabis use, he said.

“Additional research is needed to better understand the relative percentage cases related to edibles vs. inhalation presenting to the ED,” he noted. “There is no question that edibles continue to present significant dangers for those who don’t read labels or remain poorly informed regarding their dosing as a result of delayed onset and longer duration,” he said. To help reduce risk of toxicity, the concept of a “high lasting 12-15 hours, as with edibles, as opposed to 3-4 hours from inhalation must be clearly stated on packaging and better communicated with users, as the toxicity with edibles is more often from lack of prior knowledge about onset of effects related to dosing.”

In addition, the “potential for psychosis to develop with more chronic cannabis use, along with cannabinoid hyperemesis syndrome should be on every clinician’s radar,” Dr. Glatter emphasized.

“The bottom line is that as more states legalize the use of cannabis, it’s vital to also implement comprehensive public education efforts to provide users with the reported risks associated with not only inhalation (vaping or flower) but also edibles, which account for an increasingly greater percentage of ED visits and associated adverse effects,” he said.

The study was supported by the Lung Association–Ontario, as well as by grants from the Ontario Ministry of Health and the Ministry of Long-Term Care. The researchers and Dr. Glatter have disclosed no relevant financial relationships.

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

Cannabis users had a 22% increased risk of an emergency department (ED) visit or hospitalization compared to nonusers, as determined from data from more than 30,000 individuals.

Although cannabis contains compounds similar to tobacco, “data published on the association between cannabis smoking and airways health have been contradictory,” and whether smoking cannabis increases a user’s risk of developing acute respiratory illness remains unclear, wrote Nicholas T. Vozoris, MD, of the University of Toronto, and colleagues.

Smithore/Getty Images

In a study published in BMJ Open Respiratory Research, the investigators reviewed national health records data from 35,114 individuals aged 12-65 years for the period January 2009 to December 2015. Of these persons, 4,807 of the 6,425 who reported cannabis use in the past year were matched with 10,395 never-users who served as controls. The mean age of the study population at the index date was 35 years, and 42% were women; demographics were similar between users and control persons.

Overall, the odds of respiratory-related emergency department visits or hospitalizations were not significantly different between the cannabis users and the control persons (3.6% vs. 3.9%; odds ratio, 0.91). However, cannabis users had significantly greater odds of all-cause ED visits or hospitalizations (30.0% vs. 26.0%; OR, 1.22). All-cause mortality was 0.2% for both groups.

Respiratory problems were the second-highest reason for all-cause visits, the researchers noted. The lack of a difference in respiratory-related visits between cannabis users and nonusers conflicts somewhat with previous studies on this topic, which were limited, the researchers noted in their discussion.

The negative results also might stem from factors for which the researchers could not adjust, including insufficient cannabis smoke exposure among users in the study population, noninhalational cannabis use, which is less likely to have a respiratory effect, and possible secondhand exposure among control persons.

“It is also possible that our analysis might have been insufficiently powered to detect a significant signal with respect to the primary outcome,” they noted.

However, after the researchers controlled for multiple variables, the risk of an equally important morbidity outcome, all-cause ED visits or hospitalizations, was significantly greater among cannabis users than among control individuals, and respiratory reasons were the second most common cause for ED visits and hospitalizations in the all-cause outcome, they emphasized.

The study findings were limited by several factors, including the retrospective and observational design and the inability to control for all confounding variables, the researchers noted. Other limitations include the use of self-reports and potential for bias, the inability to perform dose-response analysis, and the high number of infrequent cannabis users in the study population.

However, the results suggest that cannabis use is associated with an increased risk of serious health events and should be discouraged, although more research is needed to confirm the current study findings, they concluded.
 

Consider range of causes for cannabis emergency visits

“With growing numbers of states legalizing recreational use of cannabis, it’s important to understand whether cannabis use is associated with increased emergency department visits,” Robert D. Glatter, MD, an emergency medicine physician at Lenox Hill Hospital, New York, told this news organization.

Previous studies have shown an association between increased ED visits and cannabis use in states, especially with edibles, where cannabis is legal, and “the current study reinforces the elevated risk of ED visits along with hospitalizations,” he said.

“While the researchers found no increased risk of respiratory-related complaints among users compared to the general population, there was an associated increase in ED visits and hospitalizations, which is important to understand,” said Dr. Glatter, who was not involved in the study.

“While this observational study found that the incidence of respiratory complaints was not significantly different among frequent users of cannabis, the increased odds that cannabis users would require evaluation in the emergency room or even hospitalization was still apparent even after the investigators controlled for such factors as use of alcohol, tobacco, illicit drug use, or other mental health–related disorders,” Dr. Glatter noted.

“That said, it’s a bit surprising that with the continued popularity of vaping, especially among teens, there was still not any appreciable or significant increase in respiratory complaints observed. Beyond this finding, I was not surprised by the overall conclusions of the current study, as we continue to see an elevated number of patients presenting to the ED with adverse events related to cannabis use.”

Dr. Glatter noted that “the majority of patients we see in the ED are associated with use of edibles, since it takes longer for the person to feel the effects, leading the user to consume more of the product up front, with delayed effects lasting up to 12 hours. This is what gets people into trouble and leads to toxicity of cannabis, or ‘overdoses,’ “ he explained.

When consuming edible cannabis products, “[p]eople need to begin at low dosages and not take additional gummies up front, since it can take up to 2 or even 3 hours in some cases to feel the initial effects. With the drug’s effects lasting up to 12 hours, it’s especially important to avoid operating any motor vehicles, bicycles, or scooters, since reaction time is impaired, as well as overall judgment, balance, and fine motor skills,” Dr. Glatter said.

Cannabis can land users in the ED for a range of reasons, said Dr. Glatter. “According to the study, 15% of the emergency room visits and hospitalizations were due to acute trauma, 14% due to respiratory issues, and 13% to gastrointestinal illnesses. These effects were seen in first-time users but not those with chronic use, according to the study inclusion criteria.”

Cannabis use could result in physical injuries through “impaired judgment, coordination, combined with an altered state of consciousness or generalized drowsiness, that could contribute to an increase in motor vehicle collisions, along with an increased risk for falls leading to lacerations, fractures, contusions, or bruising,” said Dr. Glatter. “Cannabis may also lead to an altered sense of perception related to interactions with others, resulting in feelings of anxiety or restlessness culminating in physical altercations and other injuries.”

The current study indicates the need for understanding the potential physical and psychological effects of cannabis use, he said.

“Additional research is needed to better understand the relative percentage cases related to edibles vs. inhalation presenting to the ED,” he noted. “There is no question that edibles continue to present significant dangers for those who don’t read labels or remain poorly informed regarding their dosing as a result of delayed onset and longer duration,” he said. To help reduce risk of toxicity, the concept of a “high lasting 12-15 hours, as with edibles, as opposed to 3-4 hours from inhalation must be clearly stated on packaging and better communicated with users, as the toxicity with edibles is more often from lack of prior knowledge about onset of effects related to dosing.”

In addition, the “potential for psychosis to develop with more chronic cannabis use, along with cannabinoid hyperemesis syndrome should be on every clinician’s radar,” Dr. Glatter emphasized.

“The bottom line is that as more states legalize the use of cannabis, it’s vital to also implement comprehensive public education efforts to provide users with the reported risks associated with not only inhalation (vaping or flower) but also edibles, which account for an increasingly greater percentage of ED visits and associated adverse effects,” he said.

The study was supported by the Lung Association–Ontario, as well as by grants from the Ontario Ministry of Health and the Ministry of Long-Term Care. The researchers and Dr. Glatter have disclosed no relevant financial relationships.

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

Primary care providers could add more than $100,000 to their incomes by billing more often for prevention and coordination of care services using Medicare codes, a new study shows.

According to the new research, primary care physicians used these codes for a median of only 2.3% of services provided to eligible patients.

“Investing in primary care is good for the health of patients, for achieving health equity, and for improving the value of health care spending, and yet the U.S. underinvests in primary care,” lead author Sumit D. Agarwal, MD, of Brigham and Women’s Hospital, Boston, said in an interview.

“One strategy to rectify this has been to add billing codes to the physician fee schedule for PCPs to use and thus raise primary care spending; Medicare has been activating new codes for the better part of 2 decades, and we wanted to investigate how successful this strategy of adding codes to the Medicare Physician Fee Schedule (MPFS) schedule has been to inform discussions on how best to finance primary care in the United States,” he said.

In a study published in Annals of Internal Medicine, Dr. Agarwal and colleagues reviewed nationally representative claims and survey data from 2019 and 2020. They analyzed 34 distinct prevention and coordination codes in 13 categories that have been added the MPFS since 2005. Of these, four involved coordination of care (cognitive impairment, behavioral health integration, chronic care management, and transitional care management). The other nine categories in prevention were wellness visits, advance care planning, shared decision making for lung cancer screening, obesity counseling, behavioral counseling for CVD, depression screening, alcohol misuse counseling, alcohol misuse screening, and smoking cessation counseling.

Overall, 8.8%-100% of older adult patients were eligible for preventive services. A range of patients (5.0%-60.6%) had codes for receiving services in their patient information.

“However, a much smaller fraction of eligible patients was billed for having received the service, ranging from less than 1% for alcohol misuse counseling or obesity counseling to 35.8% for wellness visits, with most below 10%,” the researchers wrote.

The median use of billing codes was 2.3% for eligible patients.

A PCP who provided and billed preventive services to half of all eligible patients could potentially increase revenues of $1,269 to $45,406 per code, with an annual revenue increase of $124,435 (interquartile range $30,654 to $226,813) for prevention services. Similarly, providing and billing coordination of care service to half of all eligible patients could increase revenue by $86,082 (IQR, $18,011 to $154,152).

“Importantly, all of these prevention and coordination codes involve decomposing the comprehensive care of a patient into component parts, each with multiple steps and checklists, which may be inconsistent with how PCPs practice and document care,” the researchers wrote in their discussion. “Unlike hospitals, primary care practices are typically unable to use departments of trained coders to maximize billing and ensure that documentation matches the requirements specified in billing rules,” they added.

The study findings were limited by several factors including the focus only on the Medicare segment of PCPs’ panels, which suggests conservative estimates of reimbursement, the researchers noted. Other limitations include response bias to the use of surveys, lack of survey data on specific billing requirements, and the potential underestimation of services by PCPs who delivered some, but not all, components of a service code.

However, the results reflect previous research to show the underutilization of prevention and coordination codes in primary care, and the need for ways to increase their use, the researchers said. “The discrepancies between service eligibility, provision of services regardless of billing, and actual billing suggest that attempting to codify each distinct activity done by a PCP in the MPFS may not be an effective strategy for supporting primary care,” they concluded.
 

Barriers to code use persist for PCPs

“What surprised us was that there were many codes; we analyzed 34 in the paper in 13 distinct categories of services, and Medicare continues to add new primary care codes to the fee schedule,” Dr. Agarwal said in an interview. Also surprising, “take-up is low virtually across the board, and this isn’t for lack of eligibility,” he said. The low use of the codes “is not for lack of counseling patients on diet, drinking, exercise, smoking, or anything else for which these codes are meant to pay PCPs ... The potential revenue from these codes in aggregate is huge,” Dr. Agarwal emphasized.

“My hope is not necessarily that physicians read this study and start using some or all of these codes more frequently,” said Dr. Agarwal. “It can be tempting to think of this as money left on the table, but it’s not; there are compliance, billing, and opportunity costs from using these codes,” he said. “For individual PCPs seeing individual patients for the breadth that is primary care, I’m not sure the juice is worth the squeeze,” he added. “My coauthors and I are all primary care physicians. We know from our research and first-hand that these codes can be cumbersome to use.” These codes also don’t reflect how PCPs practice, he said. “PCPs are not in the business of slicing and dicing a visit or patient to extract as much revenue as possible. The physician-patient interaction is more complex, and richer, than these codes imply. Instead, I hope our paper encourages Medicare and policymakers to take a harder look at other strategies for investing in primary care,” Dr. Agarwal added.

As for additional research, “Primary care spending is going in the wrong direction,” said Dr. Agarwal. “We need to figure out how best to finance primary care in the United States.”

Recent studies have examined the successes and limitations of the primary care medical home model, Medicare’s Comprehensive Primary Care Initiative, and primary care spending legislation, he said. “Our study is another piece of the puzzle: at least in its current form,” and the results suggest “that one-off codes were nice in theory but not in practice,” he noted.
 

New codes are cumbersome

“It’s tempting to interpret underuse of new billing codes as a simple change management problem,” Davoren Chick, MD, chief learning officer of the American College of Physicians, wrote in an accompanying editorial. However, the underuse of codes for preventive service and coordination of care likely stems from the details of the codes, he said.

The new codes require the documentation of specific components and a minimum duration of services, he explained. “Codes that reward discrete service episodes disadvantage physicians who appropriately integrate preventive services within a continuous patient care relationship,” he added.

Dr. Chick presented an example of a primary care physician who would have to deliver intensive behavioral therapy for obesity in 15-minute episodes outside of a routine office visit to meet the billing criteria for current Medicare codes.

Dr. Chick called on clinicians to educate themselves on the coding rules for the services they provide “not only to optimize current payment but also to advocate for change.”

He concluded: “Widespread underuse of new preventive service and coordination of care codes reflects system failure, not physician failure. We must stand firm with this knowledge to demand increased payment for feasible, patient-centered primary care commensurate with its value in achieving better outcomes and lower costs.”

The study was supported by the National Institute on Aging of the National Institutes of Health. Dr. Agarwal and Dr. Chick had no financial conflicts to disclose.

Primary care providers could add more than $100,000 to their incomes by billing more often for prevention and coordination of care services using Medicare codes, a new study shows.

According to the new research, primary care physicians used these codes for a median of only 2.3% of services provided to eligible patients.

“Investing in primary care is good for the health of patients, for achieving health equity, and for improving the value of health care spending, and yet the U.S. underinvests in primary care,” lead author Sumit D. Agarwal, MD, of Brigham and Women’s Hospital, Boston, said in an interview.

“One strategy to rectify this has been to add billing codes to the physician fee schedule for PCPs to use and thus raise primary care spending; Medicare has been activating new codes for the better part of 2 decades, and we wanted to investigate how successful this strategy of adding codes to the Medicare Physician Fee Schedule (MPFS) schedule has been to inform discussions on how best to finance primary care in the United States,” he said.

In a study published in Annals of Internal Medicine, Dr. Agarwal and colleagues reviewed nationally representative claims and survey data from 2019 and 2020. They analyzed 34 distinct prevention and coordination codes in 13 categories that have been added the MPFS since 2005. Of these, four involved coordination of care (cognitive impairment, behavioral health integration, chronic care management, and transitional care management). The other nine categories in prevention were wellness visits, advance care planning, shared decision making for lung cancer screening, obesity counseling, behavioral counseling for CVD, depression screening, alcohol misuse counseling, alcohol misuse screening, and smoking cessation counseling.

Overall, 8.8%-100% of older adult patients were eligible for preventive services. A range of patients (5.0%-60.6%) had codes for receiving services in their patient information.

“However, a much smaller fraction of eligible patients was billed for having received the service, ranging from less than 1% for alcohol misuse counseling or obesity counseling to 35.8% for wellness visits, with most below 10%,” the researchers wrote.

The median use of billing codes was 2.3% for eligible patients.

A PCP who provided and billed preventive services to half of all eligible patients could potentially increase revenues of $1,269 to $45,406 per code, with an annual revenue increase of $124,435 (interquartile range $30,654 to $226,813) for prevention services. Similarly, providing and billing coordination of care service to half of all eligible patients could increase revenue by $86,082 (IQR, $18,011 to $154,152).

“Importantly, all of these prevention and coordination codes involve decomposing the comprehensive care of a patient into component parts, each with multiple steps and checklists, which may be inconsistent with how PCPs practice and document care,” the researchers wrote in their discussion. “Unlike hospitals, primary care practices are typically unable to use departments of trained coders to maximize billing and ensure that documentation matches the requirements specified in billing rules,” they added.

The study findings were limited by several factors including the focus only on the Medicare segment of PCPs’ panels, which suggests conservative estimates of reimbursement, the researchers noted. Other limitations include response bias to the use of surveys, lack of survey data on specific billing requirements, and the potential underestimation of services by PCPs who delivered some, but not all, components of a service code.

However, the results reflect previous research to show the underutilization of prevention and coordination codes in primary care, and the need for ways to increase their use, the researchers said. “The discrepancies between service eligibility, provision of services regardless of billing, and actual billing suggest that attempting to codify each distinct activity done by a PCP in the MPFS may not be an effective strategy for supporting primary care,” they concluded.
 

Barriers to code use persist for PCPs

“What surprised us was that there were many codes; we analyzed 34 in the paper in 13 distinct categories of services, and Medicare continues to add new primary care codes to the fee schedule,” Dr. Agarwal said in an interview. Also surprising, “take-up is low virtually across the board, and this isn’t for lack of eligibility,” he said. The low use of the codes “is not for lack of counseling patients on diet, drinking, exercise, smoking, or anything else for which these codes are meant to pay PCPs ... The potential revenue from these codes in aggregate is huge,” Dr. Agarwal emphasized.

“My hope is not necessarily that physicians read this study and start using some or all of these codes more frequently,” said Dr. Agarwal. “It can be tempting to think of this as money left on the table, but it’s not; there are compliance, billing, and opportunity costs from using these codes,” he said. “For individual PCPs seeing individual patients for the breadth that is primary care, I’m not sure the juice is worth the squeeze,” he added. “My coauthors and I are all primary care physicians. We know from our research and first-hand that these codes can be cumbersome to use.” These codes also don’t reflect how PCPs practice, he said. “PCPs are not in the business of slicing and dicing a visit or patient to extract as much revenue as possible. The physician-patient interaction is more complex, and richer, than these codes imply. Instead, I hope our paper encourages Medicare and policymakers to take a harder look at other strategies for investing in primary care,” Dr. Agarwal added.

As for additional research, “Primary care spending is going in the wrong direction,” said Dr. Agarwal. “We need to figure out how best to finance primary care in the United States.”

Recent studies have examined the successes and limitations of the primary care medical home model, Medicare’s Comprehensive Primary Care Initiative, and primary care spending legislation, he said. “Our study is another piece of the puzzle: at least in its current form,” and the results suggest “that one-off codes were nice in theory but not in practice,” he noted.
 

New codes are cumbersome

“It’s tempting to interpret underuse of new billing codes as a simple change management problem,” Davoren Chick, MD, chief learning officer of the American College of Physicians, wrote in an accompanying editorial. However, the underuse of codes for preventive service and coordination of care likely stems from the details of the codes, he said.

The new codes require the documentation of specific components and a minimum duration of services, he explained. “Codes that reward discrete service episodes disadvantage physicians who appropriately integrate preventive services within a continuous patient care relationship,” he added.

Dr. Chick presented an example of a primary care physician who would have to deliver intensive behavioral therapy for obesity in 15-minute episodes outside of a routine office visit to meet the billing criteria for current Medicare codes.

Dr. Chick called on clinicians to educate themselves on the coding rules for the services they provide “not only to optimize current payment but also to advocate for change.”

He concluded: “Widespread underuse of new preventive service and coordination of care codes reflects system failure, not physician failure. We must stand firm with this knowledge to demand increased payment for feasible, patient-centered primary care commensurate with its value in achieving better outcomes and lower costs.”

The study was supported by the National Institute on Aging of the National Institutes of Health. Dr. Agarwal and Dr. Chick had no financial conflicts to disclose.

Primary care providers could add more than $100,000 to their incomes by billing more often for prevention and coordination of care services using Medicare codes, a new study shows.

According to the new research, primary care physicians used these codes for a median of only 2.3% of services provided to eligible patients.

“Investing in primary care is good for the health of patients, for achieving health equity, and for improving the value of health care spending, and yet the U.S. underinvests in primary care,” lead author Sumit D. Agarwal, MD, of Brigham and Women’s Hospital, Boston, said in an interview.

“One strategy to rectify this has been to add billing codes to the physician fee schedule for PCPs to use and thus raise primary care spending; Medicare has been activating new codes for the better part of 2 decades, and we wanted to investigate how successful this strategy of adding codes to the Medicare Physician Fee Schedule (MPFS) schedule has been to inform discussions on how best to finance primary care in the United States,” he said.

In a study published in Annals of Internal Medicine, Dr. Agarwal and colleagues reviewed nationally representative claims and survey data from 2019 and 2020. They analyzed 34 distinct prevention and coordination codes in 13 categories that have been added the MPFS since 2005. Of these, four involved coordination of care (cognitive impairment, behavioral health integration, chronic care management, and transitional care management). The other nine categories in prevention were wellness visits, advance care planning, shared decision making for lung cancer screening, obesity counseling, behavioral counseling for CVD, depression screening, alcohol misuse counseling, alcohol misuse screening, and smoking cessation counseling.

Overall, 8.8%-100% of older adult patients were eligible for preventive services. A range of patients (5.0%-60.6%) had codes for receiving services in their patient information.

“However, a much smaller fraction of eligible patients was billed for having received the service, ranging from less than 1% for alcohol misuse counseling or obesity counseling to 35.8% for wellness visits, with most below 10%,” the researchers wrote.

The median use of billing codes was 2.3% for eligible patients.

A PCP who provided and billed preventive services to half of all eligible patients could potentially increase revenues of $1,269 to $45,406 per code, with an annual revenue increase of $124,435 (interquartile range $30,654 to $226,813) for prevention services. Similarly, providing and billing coordination of care service to half of all eligible patients could increase revenue by $86,082 (IQR, $18,011 to $154,152).

“Importantly, all of these prevention and coordination codes involve decomposing the comprehensive care of a patient into component parts, each with multiple steps and checklists, which may be inconsistent with how PCPs practice and document care,” the researchers wrote in their discussion. “Unlike hospitals, primary care practices are typically unable to use departments of trained coders to maximize billing and ensure that documentation matches the requirements specified in billing rules,” they added.

The study findings were limited by several factors including the focus only on the Medicare segment of PCPs’ panels, which suggests conservative estimates of reimbursement, the researchers noted. Other limitations include response bias to the use of surveys, lack of survey data on specific billing requirements, and the potential underestimation of services by PCPs who delivered some, but not all, components of a service code.

However, the results reflect previous research to show the underutilization of prevention and coordination codes in primary care, and the need for ways to increase their use, the researchers said. “The discrepancies between service eligibility, provision of services regardless of billing, and actual billing suggest that attempting to codify each distinct activity done by a PCP in the MPFS may not be an effective strategy for supporting primary care,” they concluded.
 

Barriers to code use persist for PCPs

“What surprised us was that there were many codes; we analyzed 34 in the paper in 13 distinct categories of services, and Medicare continues to add new primary care codes to the fee schedule,” Dr. Agarwal said in an interview. Also surprising, “take-up is low virtually across the board, and this isn’t for lack of eligibility,” he said. The low use of the codes “is not for lack of counseling patients on diet, drinking, exercise, smoking, or anything else for which these codes are meant to pay PCPs ... The potential revenue from these codes in aggregate is huge,” Dr. Agarwal emphasized.

“My hope is not necessarily that physicians read this study and start using some or all of these codes more frequently,” said Dr. Agarwal. “It can be tempting to think of this as money left on the table, but it’s not; there are compliance, billing, and opportunity costs from using these codes,” he said. “For individual PCPs seeing individual patients for the breadth that is primary care, I’m not sure the juice is worth the squeeze,” he added. “My coauthors and I are all primary care physicians. We know from our research and first-hand that these codes can be cumbersome to use.” These codes also don’t reflect how PCPs practice, he said. “PCPs are not in the business of slicing and dicing a visit or patient to extract as much revenue as possible. The physician-patient interaction is more complex, and richer, than these codes imply. Instead, I hope our paper encourages Medicare and policymakers to take a harder look at other strategies for investing in primary care,” Dr. Agarwal added.

As for additional research, “Primary care spending is going in the wrong direction,” said Dr. Agarwal. “We need to figure out how best to finance primary care in the United States.”

Recent studies have examined the successes and limitations of the primary care medical home model, Medicare’s Comprehensive Primary Care Initiative, and primary care spending legislation, he said. “Our study is another piece of the puzzle: at least in its current form,” and the results suggest “that one-off codes were nice in theory but not in practice,” he noted.
 

New codes are cumbersome

“It’s tempting to interpret underuse of new billing codes as a simple change management problem,” Davoren Chick, MD, chief learning officer of the American College of Physicians, wrote in an accompanying editorial. However, the underuse of codes for preventive service and coordination of care likely stems from the details of the codes, he said.

The new codes require the documentation of specific components and a minimum duration of services, he explained. “Codes that reward discrete service episodes disadvantage physicians who appropriately integrate preventive services within a continuous patient care relationship,” he added.

Dr. Chick presented an example of a primary care physician who would have to deliver intensive behavioral therapy for obesity in 15-minute episodes outside of a routine office visit to meet the billing criteria for current Medicare codes.

Dr. Chick called on clinicians to educate themselves on the coding rules for the services they provide “not only to optimize current payment but also to advocate for change.”

He concluded: “Widespread underuse of new preventive service and coordination of care codes reflects system failure, not physician failure. We must stand firm with this knowledge to demand increased payment for feasible, patient-centered primary care commensurate with its value in achieving better outcomes and lower costs.”

The study was supported by the National Institute on Aging of the National Institutes of Health. Dr. Agarwal and Dr. Chick had no financial conflicts to disclose.

Lifestyle medicine significantly improved symptoms for patients with anxiety, compared with controls, based on data from a meta-analysis of more than 18,000 individuals.

Despite the availability of effective treatment strategies, including pharmacotherapy, psychotherapy, and combination therapy, the prevalence of anxiety continues to increase, especially in low-income and conflict-ridden countries, Vincent Wing-Hei Wong, a PhD student at The Chinese University of Hong Kong, and colleagues wrote.

Marija Jovovic/Getty Images

Previous studies have shown that lifestyle factors including diet, sleep, and sedentary behavior are involved in the development of anxiety symptoms, but the impact of lifestyle medicine (LM) as a treatment for anxiety has not been well studied, they wrote.

In a meta-analysis published in the Journal of Affective Disorders, the researchers identified 53 randomized, controlled trials with a total of 18,894 participants. Anxiety symptoms were measured using self-report questionnaires including the Hospital Anxiety and Depression Scale, the Depression Anxiety and Stress Scale, and the General Anxiety Disorder–7. Random-effects models were used to assess the effect of the intervention at immediate post treatment, short-term follow-up (1-3 months post treatment), medium follow-up (4-6 months), and long-term follow-up (7 months or more).

The studies included various combinations of LM intervention involving exercise, stress management, and sleep management. The interventions ranged from 1 month to 4 years, with an average duration of 6.3 months.

Overall, patients randomized to multicomponent LM interventions showed significantly improved symptoms compared to controls immediately after treatment and at short-term follow-up (P < .001 for both).

However, no significant differences were noted between the multicomponent LM intervention and control groups at medium-term follow-up, the researchers said. Only one study included data on long-term effects, so these effects were not evaluated in a meta-analysis, and more research is needed.

In a subgroup analysis, the effect was greatest for individuals with moderate anxiety symptoms at baseline (P < .05). “Our results could perhaps be explained by the occurrence of floor effect; those with higher baseline anxiety symptoms have greater room for improvement relative to those with fewer symptoms,” the researchers wrote.

The study findings were limited by several factors including the risk of overall bias and publication bias for the selected studies, as well as the limited degree of improvement because most patients had minimal anxiety symptoms at baseline, the researchers noted. Other limitations included the small number of studies for subgroup comparisons and the use of self-reports.

However, the results were strengthened by the use of broad search terms to capture multiple lifestyle determinants, and the diverse study populations and backgrounds from individuals in 19 countries.

The results support findings from previous studies, and support the value of multicomponent LM interventions for patients with anxiety in the short-term and immediately after treatment, the researchers emphasized.

“The LM approach, which leverages a range of universal lifestyle measures to manage anxiety and other common mental disorders such as depression, may be a viable solution to address the huge mental health burden through empowering individuals to practice self-management,” they concluded.

However, the researchers acknowledged the need for more randomized, controlled trials targeting patients with higher baseline anxiety levels or anxiety disorders, and using technology to improve treatment adherence.

The study received no outside funding. The researchers had no financial conflicts to disclose.
 

Lifestyle medicine significantly improved symptoms for patients with anxiety, compared with controls, based on data from a meta-analysis of more than 18,000 individuals.

Despite the availability of effective treatment strategies, including pharmacotherapy, psychotherapy, and combination therapy, the prevalence of anxiety continues to increase, especially in low-income and conflict-ridden countries, Vincent Wing-Hei Wong, a PhD student at The Chinese University of Hong Kong, and colleagues wrote.

Marija Jovovic/Getty Images

Previous studies have shown that lifestyle factors including diet, sleep, and sedentary behavior are involved in the development of anxiety symptoms, but the impact of lifestyle medicine (LM) as a treatment for anxiety has not been well studied, they wrote.

In a meta-analysis published in the Journal of Affective Disorders, the researchers identified 53 randomized, controlled trials with a total of 18,894 participants. Anxiety symptoms were measured using self-report questionnaires including the Hospital Anxiety and Depression Scale, the Depression Anxiety and Stress Scale, and the General Anxiety Disorder–7. Random-effects models were used to assess the effect of the intervention at immediate post treatment, short-term follow-up (1-3 months post treatment), medium follow-up (4-6 months), and long-term follow-up (7 months or more).

The studies included various combinations of LM intervention involving exercise, stress management, and sleep management. The interventions ranged from 1 month to 4 years, with an average duration of 6.3 months.

Overall, patients randomized to multicomponent LM interventions showed significantly improved symptoms compared to controls immediately after treatment and at short-term follow-up (P < .001 for both).

However, no significant differences were noted between the multicomponent LM intervention and control groups at medium-term follow-up, the researchers said. Only one study included data on long-term effects, so these effects were not evaluated in a meta-analysis, and more research is needed.

In a subgroup analysis, the effect was greatest for individuals with moderate anxiety symptoms at baseline (P < .05). “Our results could perhaps be explained by the occurrence of floor effect; those with higher baseline anxiety symptoms have greater room for improvement relative to those with fewer symptoms,” the researchers wrote.

The study findings were limited by several factors including the risk of overall bias and publication bias for the selected studies, as well as the limited degree of improvement because most patients had minimal anxiety symptoms at baseline, the researchers noted. Other limitations included the small number of studies for subgroup comparisons and the use of self-reports.

However, the results were strengthened by the use of broad search terms to capture multiple lifestyle determinants, and the diverse study populations and backgrounds from individuals in 19 countries.

The results support findings from previous studies, and support the value of multicomponent LM interventions for patients with anxiety in the short-term and immediately after treatment, the researchers emphasized.

“The LM approach, which leverages a range of universal lifestyle measures to manage anxiety and other common mental disorders such as depression, may be a viable solution to address the huge mental health burden through empowering individuals to practice self-management,” they concluded.

However, the researchers acknowledged the need for more randomized, controlled trials targeting patients with higher baseline anxiety levels or anxiety disorders, and using technology to improve treatment adherence.

The study received no outside funding. The researchers had no financial conflicts to disclose.
 

Lifestyle medicine significantly improved symptoms for patients with anxiety, compared with controls, based on data from a meta-analysis of more than 18,000 individuals.

Despite the availability of effective treatment strategies, including pharmacotherapy, psychotherapy, and combination therapy, the prevalence of anxiety continues to increase, especially in low-income and conflict-ridden countries, Vincent Wing-Hei Wong, a PhD student at The Chinese University of Hong Kong, and colleagues wrote.

Marija Jovovic/Getty Images

Previous studies have shown that lifestyle factors including diet, sleep, and sedentary behavior are involved in the development of anxiety symptoms, but the impact of lifestyle medicine (LM) as a treatment for anxiety has not been well studied, they wrote.

In a meta-analysis published in the Journal of Affective Disorders, the researchers identified 53 randomized, controlled trials with a total of 18,894 participants. Anxiety symptoms were measured using self-report questionnaires including the Hospital Anxiety and Depression Scale, the Depression Anxiety and Stress Scale, and the General Anxiety Disorder–7. Random-effects models were used to assess the effect of the intervention at immediate post treatment, short-term follow-up (1-3 months post treatment), medium follow-up (4-6 months), and long-term follow-up (7 months or more).

The studies included various combinations of LM intervention involving exercise, stress management, and sleep management. The interventions ranged from 1 month to 4 years, with an average duration of 6.3 months.

Overall, patients randomized to multicomponent LM interventions showed significantly improved symptoms compared to controls immediately after treatment and at short-term follow-up (P < .001 for both).

However, no significant differences were noted between the multicomponent LM intervention and control groups at medium-term follow-up, the researchers said. Only one study included data on long-term effects, so these effects were not evaluated in a meta-analysis, and more research is needed.

In a subgroup analysis, the effect was greatest for individuals with moderate anxiety symptoms at baseline (P < .05). “Our results could perhaps be explained by the occurrence of floor effect; those with higher baseline anxiety symptoms have greater room for improvement relative to those with fewer symptoms,” the researchers wrote.

The study findings were limited by several factors including the risk of overall bias and publication bias for the selected studies, as well as the limited degree of improvement because most patients had minimal anxiety symptoms at baseline, the researchers noted. Other limitations included the small number of studies for subgroup comparisons and the use of self-reports.

However, the results were strengthened by the use of broad search terms to capture multiple lifestyle determinants, and the diverse study populations and backgrounds from individuals in 19 countries.

The results support findings from previous studies, and support the value of multicomponent LM interventions for patients with anxiety in the short-term and immediately after treatment, the researchers emphasized.

“The LM approach, which leverages a range of universal lifestyle measures to manage anxiety and other common mental disorders such as depression, may be a viable solution to address the huge mental health burden through empowering individuals to practice self-management,” they concluded.

However, the researchers acknowledged the need for more randomized, controlled trials targeting patients with higher baseline anxiety levels or anxiety disorders, and using technology to improve treatment adherence.

The study received no outside funding. The researchers had no financial conflicts to disclose.
 

People with diabetes who had a poor-quality diet and food insecurity were significantly more likely to have poor glycemic and cholesterol control than were those with a healthier diet and food security, based on data from a national study of more than 2,000 individuals.

The American Diabetes Association recommends a high-quality diet for people with diabetes (PWD) to achieve treatment goals; however, roughly 18% of PWD in the United States are food insecure and/or have a poor-quality diet, Sarah S. Casagrande, PhD, of DLH Corporation, Silver Spring, Md., and colleagues wrote in a poster presented at the annual scientific sessions of the ADA in New Orleans.

To examine the impact of food insecurity and diet quality on diabetes and lipid management, the researchers reviewed data from 2,075 adults with self-reported diabetes who completed the National Health and Nutrition Examination Surveys between 2013 and 2018.

Diet quality was divided into quartiles based on the 2015 Healthy Eating Index. Food insecurity was assessed using a standard 10-item questionnaire including questions about running out of food and not being able to afford more, reducing meal sizes, eating less or not at all, and going hungry because of lack of money for food.

The logistic regression analysis controlled for factors including sociodemographics, health care use, smoking, diabetes medications, blood pressure medication use, cholesterol medication use, and body mass index.

Overall, 17.6% of the participants were food insecure and had a low-quality diet, 14.2% were food insecure with a high-quality diet, 33.1% were food secure with a low-quality diet, and 35.2% were food secure with a high-quality diet.

PWD in the food insecure/low-quality diet group were significantly more likely to be younger, non-Hispanic black or Hispanic, and uninsured compared to those in the food secure/high-quality diet group (P < .001 for all).

When the researchers examined glycemic control, they found that PWD in the food insecurity/low-quality diet groups were significantly more likely than were those with food security/high-quality diets to have hemoglobin A1c of at least 7.0% (adjusted odds ratio, 1.85), A1c of at least 8.0% (aOR, 1.79), low HDL cholesterol (aOR, 1.69), and high triglycerides (aOR, 3.26).

PWD with food insecurity but a high-quality diet also were significantly more likely than were those with food security and a high quality diet to have A1c of at least 7.0% (aOR, 1.69), A1c of at least 8.0% (aOR, 1.83), and high triglycerides (aOR, 2.44). PWD with food security but a low-quality diet were significantly more likely than was the food security/high-quality diet group to have A1c of at least 7% (aOR, 1.55).

The study findings were limited by several factors including the cross-sectional design, reliance on self-reports, and inability to distinguish between type 1 and type 2 diabetes, the researchers wrote.

However, the results were strengthened by the large, nationally representative sample and the inclusion of multiple clinical outcomes in the patient assessment, they said.

The results suggest that food insecurity had a significant impact on both glycemic control and cholesterol management independent of diet quality, the researchers noted. Based on these findings, health care providers treating PWD may wish to assess their patients’ food security status, and “interventions could address disparities in food security,” they concluded.
 

Food insecurity a growing problem

“With more communities being pushed into state of war, drought, and famine globally, it is important to track impact of food insecurity and low quality food on common medical conditions like diabetes in our vulnerable communities,” Romesh K. Khardori, MD, professor of medicine: endocrinology, and metabolism at Eastern Virginia Medical School, Norfolk, said in an interview.

Dr. Khardori, who was not involved in the study, said he was not surprised by the current study findings.

“Type of food, amount of food, and quality of food have been stressed in diabetes management for more than 100 years,” he said. “Organizations charged with recommendations, such as the ADA and American Dietetic Association, have regularly updated their recommendations,” he noted. “It was not surprising, therefore, to find food insecurity and low quality tied to poor glycemic control.”

The take-home message for clinicians is to consider the availability and quality of food that their patients are exposed to when evaluating barriers to proper glycemic control, Dr. Khardori emphasized.

However, additional research is needed to explore whether the prescription of a sufficient amount of good quality food would alleviate the adverse impact seen in the current study, he said.

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. The researchers and Dr. Khardori had no financial conflicts to disclose.

People with diabetes who had a poor-quality diet and food insecurity were significantly more likely to have poor glycemic and cholesterol control than were those with a healthier diet and food security, based on data from a national study of more than 2,000 individuals.

The American Diabetes Association recommends a high-quality diet for people with diabetes (PWD) to achieve treatment goals; however, roughly 18% of PWD in the United States are food insecure and/or have a poor-quality diet, Sarah S. Casagrande, PhD, of DLH Corporation, Silver Spring, Md., and colleagues wrote in a poster presented at the annual scientific sessions of the ADA in New Orleans.

To examine the impact of food insecurity and diet quality on diabetes and lipid management, the researchers reviewed data from 2,075 adults with self-reported diabetes who completed the National Health and Nutrition Examination Surveys between 2013 and 2018.

Diet quality was divided into quartiles based on the 2015 Healthy Eating Index. Food insecurity was assessed using a standard 10-item questionnaire including questions about running out of food and not being able to afford more, reducing meal sizes, eating less or not at all, and going hungry because of lack of money for food.

The logistic regression analysis controlled for factors including sociodemographics, health care use, smoking, diabetes medications, blood pressure medication use, cholesterol medication use, and body mass index.

Overall, 17.6% of the participants were food insecure and had a low-quality diet, 14.2% were food insecure with a high-quality diet, 33.1% were food secure with a low-quality diet, and 35.2% were food secure with a high-quality diet.

PWD in the food insecure/low-quality diet group were significantly more likely to be younger, non-Hispanic black or Hispanic, and uninsured compared to those in the food secure/high-quality diet group (P < .001 for all).

When the researchers examined glycemic control, they found that PWD in the food insecurity/low-quality diet groups were significantly more likely than were those with food security/high-quality diets to have hemoglobin A1c of at least 7.0% (adjusted odds ratio, 1.85), A1c of at least 8.0% (aOR, 1.79), low HDL cholesterol (aOR, 1.69), and high triglycerides (aOR, 3.26).

PWD with food insecurity but a high-quality diet also were significantly more likely than were those with food security and a high quality diet to have A1c of at least 7.0% (aOR, 1.69), A1c of at least 8.0% (aOR, 1.83), and high triglycerides (aOR, 2.44). PWD with food security but a low-quality diet were significantly more likely than was the food security/high-quality diet group to have A1c of at least 7% (aOR, 1.55).

The study findings were limited by several factors including the cross-sectional design, reliance on self-reports, and inability to distinguish between type 1 and type 2 diabetes, the researchers wrote.

However, the results were strengthened by the large, nationally representative sample and the inclusion of multiple clinical outcomes in the patient assessment, they said.

The results suggest that food insecurity had a significant impact on both glycemic control and cholesterol management independent of diet quality, the researchers noted. Based on these findings, health care providers treating PWD may wish to assess their patients’ food security status, and “interventions could address disparities in food security,” they concluded.
 

Food insecurity a growing problem

“With more communities being pushed into state of war, drought, and famine globally, it is important to track impact of food insecurity and low quality food on common medical conditions like diabetes in our vulnerable communities,” Romesh K. Khardori, MD, professor of medicine: endocrinology, and metabolism at Eastern Virginia Medical School, Norfolk, said in an interview.

Dr. Khardori, who was not involved in the study, said he was not surprised by the current study findings.

“Type of food, amount of food, and quality of food have been stressed in diabetes management for more than 100 years,” he said. “Organizations charged with recommendations, such as the ADA and American Dietetic Association, have regularly updated their recommendations,” he noted. “It was not surprising, therefore, to find food insecurity and low quality tied to poor glycemic control.”

The take-home message for clinicians is to consider the availability and quality of food that their patients are exposed to when evaluating barriers to proper glycemic control, Dr. Khardori emphasized.

However, additional research is needed to explore whether the prescription of a sufficient amount of good quality food would alleviate the adverse impact seen in the current study, he said.

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. The researchers and Dr. Khardori had no financial conflicts to disclose.

People with diabetes who had a poor-quality diet and food insecurity were significantly more likely to have poor glycemic and cholesterol control than were those with a healthier diet and food security, based on data from a national study of more than 2,000 individuals.

The American Diabetes Association recommends a high-quality diet for people with diabetes (PWD) to achieve treatment goals; however, roughly 18% of PWD in the United States are food insecure and/or have a poor-quality diet, Sarah S. Casagrande, PhD, of DLH Corporation, Silver Spring, Md., and colleagues wrote in a poster presented at the annual scientific sessions of the ADA in New Orleans.

To examine the impact of food insecurity and diet quality on diabetes and lipid management, the researchers reviewed data from 2,075 adults with self-reported diabetes who completed the National Health and Nutrition Examination Surveys between 2013 and 2018.

Diet quality was divided into quartiles based on the 2015 Healthy Eating Index. Food insecurity was assessed using a standard 10-item questionnaire including questions about running out of food and not being able to afford more, reducing meal sizes, eating less or not at all, and going hungry because of lack of money for food.

The logistic regression analysis controlled for factors including sociodemographics, health care use, smoking, diabetes medications, blood pressure medication use, cholesterol medication use, and body mass index.

Overall, 17.6% of the participants were food insecure and had a low-quality diet, 14.2% were food insecure with a high-quality diet, 33.1% were food secure with a low-quality diet, and 35.2% were food secure with a high-quality diet.

PWD in the food insecure/low-quality diet group were significantly more likely to be younger, non-Hispanic black or Hispanic, and uninsured compared to those in the food secure/high-quality diet group (P < .001 for all).

When the researchers examined glycemic control, they found that PWD in the food insecurity/low-quality diet groups were significantly more likely than were those with food security/high-quality diets to have hemoglobin A1c of at least 7.0% (adjusted odds ratio, 1.85), A1c of at least 8.0% (aOR, 1.79), low HDL cholesterol (aOR, 1.69), and high triglycerides (aOR, 3.26).

PWD with food insecurity but a high-quality diet also were significantly more likely than were those with food security and a high quality diet to have A1c of at least 7.0% (aOR, 1.69), A1c of at least 8.0% (aOR, 1.83), and high triglycerides (aOR, 2.44). PWD with food security but a low-quality diet were significantly more likely than was the food security/high-quality diet group to have A1c of at least 7% (aOR, 1.55).

The study findings were limited by several factors including the cross-sectional design, reliance on self-reports, and inability to distinguish between type 1 and type 2 diabetes, the researchers wrote.

However, the results were strengthened by the large, nationally representative sample and the inclusion of multiple clinical outcomes in the patient assessment, they said.

The results suggest that food insecurity had a significant impact on both glycemic control and cholesterol management independent of diet quality, the researchers noted. Based on these findings, health care providers treating PWD may wish to assess their patients’ food security status, and “interventions could address disparities in food security,” they concluded.
 

Food insecurity a growing problem

“With more communities being pushed into state of war, drought, and famine globally, it is important to track impact of food insecurity and low quality food on common medical conditions like diabetes in our vulnerable communities,” Romesh K. Khardori, MD, professor of medicine: endocrinology, and metabolism at Eastern Virginia Medical School, Norfolk, said in an interview.

Dr. Khardori, who was not involved in the study, said he was not surprised by the current study findings.

“Type of food, amount of food, and quality of food have been stressed in diabetes management for more than 100 years,” he said. “Organizations charged with recommendations, such as the ADA and American Dietetic Association, have regularly updated their recommendations,” he noted. “It was not surprising, therefore, to find food insecurity and low quality tied to poor glycemic control.”

The take-home message for clinicians is to consider the availability and quality of food that their patients are exposed to when evaluating barriers to proper glycemic control, Dr. Khardori emphasized.

However, additional research is needed to explore whether the prescription of a sufficient amount of good quality food would alleviate the adverse impact seen in the current study, he said.

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. The researchers and Dr. Khardori had no financial conflicts to disclose.

Life expectancy in the United States plateaued in recent years, and persistent racial disparities vary by state, according to an analysis of death records and Census data from 1990 to 2019.

“Life expectancy is an important measure of the health of the entire population,” corresponding author Gregory Roth, MD, a cardiologist at the University of Washington, Seattle, said in an interview. “We know race, ethnicity and where you live all affect health, but we wanted to look at the long arc over many decades to understand where subpopulations have been, and where they are headed. Also, it is important to understand how race and place interact, so we looked at race/ethnicity groups within each state to see where disparities exist that need to be addressed.”

In the study, published in Annals of Internal Medicine, researchers led by Catherine O. Johnson, PhD, of the University of Washington, Seattle, reviewed data from 23 states, using regression models based on Census data and deidentified death records. They examined life expectancy for subgroups of individuals reporting Hispanic, non-Hispanic Black, or non-Hispanic White race or ethnicity.

Overall, most states showed an improvement in life expectancy between 1990 and 2019. For women, the mean life expectancy across states increased from 79.3 years in 1990 to 81.3 years in 2019. For men, the mean life expectancy across states increased from 72.6 years in 1990 to 76.3 years in 2019.

However, the researchers found significant disparities across the three racial subgroups between and within states when life expectancy was examined by race/ethnicity, independent of the average life expectancy for an entire state overall. They defined disparity as the difference in life expectancy between states for those in different racial/ethnic groups.

Without considering race/ethnicity, disparities in life expectancy across states decreased from 8.0 years and 12.2 years in 1990 to 7.9 and 7.8 years in 2019, for females and males, respectively.

When race/ethnicity was taken into account, disparities in life expectancy decreased, but the differences across states were greater than when race was not considered; 20.7 years for females and 24.5 years for males in 1990, decreasing to 18.5 years for females and 23.7 years for males in 2019.

Despite the overall improvements, disparities in life expectancy persisted across all states within each race/ethnicity group.

Among females, for example, non-Hispanic Black females had the lowest mean life expectancy across states in 1990 (74.2 years) but had the greatest improvement on average (6.9% increase) by 2019. However, the mean LE for non-Hispanic Black females remained lower than it did for non-Hispanic White and Hispanic females.

Among males, the researchers found differences in life expectancies across states between the people of the three different ethnicities they studied. The greatest difference in life expectancies in 1990 was 24.5 years. This occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Georgia. The life expectancy for these non-Hispanic Black males was 59.4 years, versus 83.8 years for these Hispanic males that year.

This reduced life expectancy for non-Hispanic Black males persisted, although it improved slightly by 2019. That year, the largest race-based disparity – which was approximately 24 years – occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Virginia. For the Hispanic males in Virgina, the LE was 90.7 years versus 66.9 years for non-Hispanic Black males in the District of Columbia.

The findings were limited by several factors including the review of data from only 23 states, the focus on life expectancy from birth versus other ages, and the challenges of defining Hispanic ethnicity, the researchers noted. However, the results support that the potential use of state-level analysis that includes race/ethnicity could be a valuable tool for measuring health inequity as part of national average trends, they said.
 

Health has truly stagnated for some in certain states

“Subpopulations in some states have much longer life expectancy now than 30 years ago. But in some states, we were struck by how health has truly stagnated for some,” Dr. Roth said in an interview. “We were surprised by the scale of the overall gap; a difference of about 8 years between states is more than twice that if you drill down to race/ethnicity groups in each state.”

A key message from the study is the need for all clinicians to advocate for improved access to primary care, “which is increasingly hard to obtain for many people,” said Dr. Roth. “So much of health is determined by key risk factors such as high blood pressure, high cholesterol, obesity, diabetes, alcohol use, tobacco use. But many of the determinants of health are not in the healthcare system, and include efforts to improve education, interrupt cycles of poverty, and teach healthy behaviors at a very young age. “Racism remains a underdiscussed part of these disparities, and we need better ways to measure the impact of social policies that end up impacting health down the road,” he said.

Looking ahead: “There is a lot to be learned from the states that have improved life expectancy the most. We need researchers to work together to identify and communicate what are those best practices, and what state governments can do to play their part.”

State-level differences reveal variations in health care

“The findings add to our growing knowledge of large and persistent racial/ethnic health disparities and changes in disparities during recent stagnation in U.S. life expectancy,” wrote Hedwig Lee, PhD, of Washington University in St. Louis, and Kathleen M. Harris, PhD, of the University of North Carolina at Chapel Hill, in an accompanying editorial.

The focus on state-level differences provides a unique window into the huge variation in life expectancy by race/ethnicity across the United States. The data suggest that “a person’s life expectancy in the United States may depend more on where you live than it has in the past,” they noted. For example, the editorialists highlighted that life expectancy for non-Hispanic Black men in 2019 averaged 81.1 years in Rhode Island, but 66.9 years in the District of Columbia.

They also noted the study’s lack of data for many states with high mortality rates and high proportions of non-Hispanic Black persons, Hispanic persons, and those with low socioeconomic states. Including data from these areas may have yielded even greater disparities in life expectancy.

“Despite substantial declines in mortality among Black persons during the study period, a non-Hispanic Black person’s life expectancy remained persistently lower than that of non-Hispanic White and Hispanic persons, both within and across states,” the editorialists wrote. “Future research needs to unpack the complex web of factors driving health and well-being by enabling better understanding of the places where we see persistent health disadvantage and advantage and the state-based explanations for these increasingly important differences determining population risk and resilience. We should be outraged by disparities in longevity and called to act to eliminate them.”
 

Identifying the problem is the first step

“In order to address or fix a problem we should first identify and quantify the problem,” Noel Deep, MD, an internal medicine physician in private practice in Antigo, Wisc., said in an interview.

“This study provides us with the information regarding the trends in life expectancy within states and the disparities in life expectancy when race/ ethnicity and gender are factored into the equation,” said Dr. Deep, who was not involved in the study. “Based on previously available data, we are aware of the increase in life expectancy in the United States over the last few decades, as well as differences in life expectancy for the different ethnicities/races and genders, but these data provide averages, not state or geographical differences. By having this knowledge at a state level, we can use that data to make health policies that address those health inequities and allocate appropriate resources at a state or local level.”

Several studies have identified disparities in health care and life expectancy based on the zip codes, such as the U.S. Small-Area Life Expectancy Estimates Project in 2018. The current study “provides further information for health care professionals and policy makers about the disparities in health outcomes and life expectancy based on race as well as gender, and it is quite detailed,” he said. 

“As clinicians, we should strive to ensure that we are addressing these health inequities through our provision of clinical care and through our advocacy on behalf of our patients so that our nation’s health will improve overall,” he said.

“I would like to see future studies look at the socioeconomic status (income), urban versus rural residence, and place of birth (especially for immigrants),” said Dr. Deep. He also emphasized a need for studies to include the demographics for Hispanic populations; given the possible selection error “because of only healthy individuals immigrating to the United States or the older sicker Hispanics who might be migrating back to their homelands and not being included in the data and falsely increasing the life expectancy for this race/ ethnic groups.

“I would also like to see some research into the cultural and social factors that might explain why Hispanic populations might have a higher life expectancy even if their socioeconomic status is poor,” he said.

The study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. The editorialists had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose, but serves on the editorial advisory board of Internal Medicine News and as chair of the AMA’s Council on Science and Public Health.

Life expectancy in the United States plateaued in recent years, and persistent racial disparities vary by state, according to an analysis of death records and Census data from 1990 to 2019.

“Life expectancy is an important measure of the health of the entire population,” corresponding author Gregory Roth, MD, a cardiologist at the University of Washington, Seattle, said in an interview. “We know race, ethnicity and where you live all affect health, but we wanted to look at the long arc over many decades to understand where subpopulations have been, and where they are headed. Also, it is important to understand how race and place interact, so we looked at race/ethnicity groups within each state to see where disparities exist that need to be addressed.”

In the study, published in Annals of Internal Medicine, researchers led by Catherine O. Johnson, PhD, of the University of Washington, Seattle, reviewed data from 23 states, using regression models based on Census data and deidentified death records. They examined life expectancy for subgroups of individuals reporting Hispanic, non-Hispanic Black, or non-Hispanic White race or ethnicity.

Overall, most states showed an improvement in life expectancy between 1990 and 2019. For women, the mean life expectancy across states increased from 79.3 years in 1990 to 81.3 years in 2019. For men, the mean life expectancy across states increased from 72.6 years in 1990 to 76.3 years in 2019.

However, the researchers found significant disparities across the three racial subgroups between and within states when life expectancy was examined by race/ethnicity, independent of the average life expectancy for an entire state overall. They defined disparity as the difference in life expectancy between states for those in different racial/ethnic groups.

Without considering race/ethnicity, disparities in life expectancy across states decreased from 8.0 years and 12.2 years in 1990 to 7.9 and 7.8 years in 2019, for females and males, respectively.

When race/ethnicity was taken into account, disparities in life expectancy decreased, but the differences across states were greater than when race was not considered; 20.7 years for females and 24.5 years for males in 1990, decreasing to 18.5 years for females and 23.7 years for males in 2019.

Despite the overall improvements, disparities in life expectancy persisted across all states within each race/ethnicity group.

Among females, for example, non-Hispanic Black females had the lowest mean life expectancy across states in 1990 (74.2 years) but had the greatest improvement on average (6.9% increase) by 2019. However, the mean LE for non-Hispanic Black females remained lower than it did for non-Hispanic White and Hispanic females.

Among males, the researchers found differences in life expectancies across states between the people of the three different ethnicities they studied. The greatest difference in life expectancies in 1990 was 24.5 years. This occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Georgia. The life expectancy for these non-Hispanic Black males was 59.4 years, versus 83.8 years for these Hispanic males that year.

This reduced life expectancy for non-Hispanic Black males persisted, although it improved slightly by 2019. That year, the largest race-based disparity – which was approximately 24 years – occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Virginia. For the Hispanic males in Virgina, the LE was 90.7 years versus 66.9 years for non-Hispanic Black males in the District of Columbia.

The findings were limited by several factors including the review of data from only 23 states, the focus on life expectancy from birth versus other ages, and the challenges of defining Hispanic ethnicity, the researchers noted. However, the results support that the potential use of state-level analysis that includes race/ethnicity could be a valuable tool for measuring health inequity as part of national average trends, they said.
 

Health has truly stagnated for some in certain states

“Subpopulations in some states have much longer life expectancy now than 30 years ago. But in some states, we were struck by how health has truly stagnated for some,” Dr. Roth said in an interview. “We were surprised by the scale of the overall gap; a difference of about 8 years between states is more than twice that if you drill down to race/ethnicity groups in each state.”

A key message from the study is the need for all clinicians to advocate for improved access to primary care, “which is increasingly hard to obtain for many people,” said Dr. Roth. “So much of health is determined by key risk factors such as high blood pressure, high cholesterol, obesity, diabetes, alcohol use, tobacco use. But many of the determinants of health are not in the healthcare system, and include efforts to improve education, interrupt cycles of poverty, and teach healthy behaviors at a very young age. “Racism remains a underdiscussed part of these disparities, and we need better ways to measure the impact of social policies that end up impacting health down the road,” he said.

Looking ahead: “There is a lot to be learned from the states that have improved life expectancy the most. We need researchers to work together to identify and communicate what are those best practices, and what state governments can do to play their part.”

State-level differences reveal variations in health care

“The findings add to our growing knowledge of large and persistent racial/ethnic health disparities and changes in disparities during recent stagnation in U.S. life expectancy,” wrote Hedwig Lee, PhD, of Washington University in St. Louis, and Kathleen M. Harris, PhD, of the University of North Carolina at Chapel Hill, in an accompanying editorial.

The focus on state-level differences provides a unique window into the huge variation in life expectancy by race/ethnicity across the United States. The data suggest that “a person’s life expectancy in the United States may depend more on where you live than it has in the past,” they noted. For example, the editorialists highlighted that life expectancy for non-Hispanic Black men in 2019 averaged 81.1 years in Rhode Island, but 66.9 years in the District of Columbia.

They also noted the study’s lack of data for many states with high mortality rates and high proportions of non-Hispanic Black persons, Hispanic persons, and those with low socioeconomic states. Including data from these areas may have yielded even greater disparities in life expectancy.

“Despite substantial declines in mortality among Black persons during the study period, a non-Hispanic Black person’s life expectancy remained persistently lower than that of non-Hispanic White and Hispanic persons, both within and across states,” the editorialists wrote. “Future research needs to unpack the complex web of factors driving health and well-being by enabling better understanding of the places where we see persistent health disadvantage and advantage and the state-based explanations for these increasingly important differences determining population risk and resilience. We should be outraged by disparities in longevity and called to act to eliminate them.”
 

Identifying the problem is the first step

“In order to address or fix a problem we should first identify and quantify the problem,” Noel Deep, MD, an internal medicine physician in private practice in Antigo, Wisc., said in an interview.

“This study provides us with the information regarding the trends in life expectancy within states and the disparities in life expectancy when race/ ethnicity and gender are factored into the equation,” said Dr. Deep, who was not involved in the study. “Based on previously available data, we are aware of the increase in life expectancy in the United States over the last few decades, as well as differences in life expectancy for the different ethnicities/races and genders, but these data provide averages, not state or geographical differences. By having this knowledge at a state level, we can use that data to make health policies that address those health inequities and allocate appropriate resources at a state or local level.”

Several studies have identified disparities in health care and life expectancy based on the zip codes, such as the U.S. Small-Area Life Expectancy Estimates Project in 2018. The current study “provides further information for health care professionals and policy makers about the disparities in health outcomes and life expectancy based on race as well as gender, and it is quite detailed,” he said. 

“As clinicians, we should strive to ensure that we are addressing these health inequities through our provision of clinical care and through our advocacy on behalf of our patients so that our nation’s health will improve overall,” he said.

“I would like to see future studies look at the socioeconomic status (income), urban versus rural residence, and place of birth (especially for immigrants),” said Dr. Deep. He also emphasized a need for studies to include the demographics for Hispanic populations; given the possible selection error “because of only healthy individuals immigrating to the United States or the older sicker Hispanics who might be migrating back to their homelands and not being included in the data and falsely increasing the life expectancy for this race/ ethnic groups.

“I would also like to see some research into the cultural and social factors that might explain why Hispanic populations might have a higher life expectancy even if their socioeconomic status is poor,” he said.

The study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. The editorialists had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose, but serves on the editorial advisory board of Internal Medicine News and as chair of the AMA’s Council on Science and Public Health.

Life expectancy in the United States plateaued in recent years, and persistent racial disparities vary by state, according to an analysis of death records and Census data from 1990 to 2019.

“Life expectancy is an important measure of the health of the entire population,” corresponding author Gregory Roth, MD, a cardiologist at the University of Washington, Seattle, said in an interview. “We know race, ethnicity and where you live all affect health, but we wanted to look at the long arc over many decades to understand where subpopulations have been, and where they are headed. Also, it is important to understand how race and place interact, so we looked at race/ethnicity groups within each state to see where disparities exist that need to be addressed.”

In the study, published in Annals of Internal Medicine, researchers led by Catherine O. Johnson, PhD, of the University of Washington, Seattle, reviewed data from 23 states, using regression models based on Census data and deidentified death records. They examined life expectancy for subgroups of individuals reporting Hispanic, non-Hispanic Black, or non-Hispanic White race or ethnicity.

Overall, most states showed an improvement in life expectancy between 1990 and 2019. For women, the mean life expectancy across states increased from 79.3 years in 1990 to 81.3 years in 2019. For men, the mean life expectancy across states increased from 72.6 years in 1990 to 76.3 years in 2019.

However, the researchers found significant disparities across the three racial subgroups between and within states when life expectancy was examined by race/ethnicity, independent of the average life expectancy for an entire state overall. They defined disparity as the difference in life expectancy between states for those in different racial/ethnic groups.

Without considering race/ethnicity, disparities in life expectancy across states decreased from 8.0 years and 12.2 years in 1990 to 7.9 and 7.8 years in 2019, for females and males, respectively.

When race/ethnicity was taken into account, disparities in life expectancy decreased, but the differences across states were greater than when race was not considered; 20.7 years for females and 24.5 years for males in 1990, decreasing to 18.5 years for females and 23.7 years for males in 2019.

Despite the overall improvements, disparities in life expectancy persisted across all states within each race/ethnicity group.

Among females, for example, non-Hispanic Black females had the lowest mean life expectancy across states in 1990 (74.2 years) but had the greatest improvement on average (6.9% increase) by 2019. However, the mean LE for non-Hispanic Black females remained lower than it did for non-Hispanic White and Hispanic females.

Among males, the researchers found differences in life expectancies across states between the people of the three different ethnicities they studied. The greatest difference in life expectancies in 1990 was 24.5 years. This occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Georgia. The life expectancy for these non-Hispanic Black males was 59.4 years, versus 83.8 years for these Hispanic males that year.

This reduced life expectancy for non-Hispanic Black males persisted, although it improved slightly by 2019. That year, the largest race-based disparity – which was approximately 24 years – occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Virginia. For the Hispanic males in Virgina, the LE was 90.7 years versus 66.9 years for non-Hispanic Black males in the District of Columbia.

The findings were limited by several factors including the review of data from only 23 states, the focus on life expectancy from birth versus other ages, and the challenges of defining Hispanic ethnicity, the researchers noted. However, the results support that the potential use of state-level analysis that includes race/ethnicity could be a valuable tool for measuring health inequity as part of national average trends, they said.
 

Health has truly stagnated for some in certain states

“Subpopulations in some states have much longer life expectancy now than 30 years ago. But in some states, we were struck by how health has truly stagnated for some,” Dr. Roth said in an interview. “We were surprised by the scale of the overall gap; a difference of about 8 years between states is more than twice that if you drill down to race/ethnicity groups in each state.”

A key message from the study is the need for all clinicians to advocate for improved access to primary care, “which is increasingly hard to obtain for many people,” said Dr. Roth. “So much of health is determined by key risk factors such as high blood pressure, high cholesterol, obesity, diabetes, alcohol use, tobacco use. But many of the determinants of health are not in the healthcare system, and include efforts to improve education, interrupt cycles of poverty, and teach healthy behaviors at a very young age. “Racism remains a underdiscussed part of these disparities, and we need better ways to measure the impact of social policies that end up impacting health down the road,” he said.

Looking ahead: “There is a lot to be learned from the states that have improved life expectancy the most. We need researchers to work together to identify and communicate what are those best practices, and what state governments can do to play their part.”

State-level differences reveal variations in health care

“The findings add to our growing knowledge of large and persistent racial/ethnic health disparities and changes in disparities during recent stagnation in U.S. life expectancy,” wrote Hedwig Lee, PhD, of Washington University in St. Louis, and Kathleen M. Harris, PhD, of the University of North Carolina at Chapel Hill, in an accompanying editorial.

The focus on state-level differences provides a unique window into the huge variation in life expectancy by race/ethnicity across the United States. The data suggest that “a person’s life expectancy in the United States may depend more on where you live than it has in the past,” they noted. For example, the editorialists highlighted that life expectancy for non-Hispanic Black men in 2019 averaged 81.1 years in Rhode Island, but 66.9 years in the District of Columbia.

They also noted the study’s lack of data for many states with high mortality rates and high proportions of non-Hispanic Black persons, Hispanic persons, and those with low socioeconomic states. Including data from these areas may have yielded even greater disparities in life expectancy.

“Despite substantial declines in mortality among Black persons during the study period, a non-Hispanic Black person’s life expectancy remained persistently lower than that of non-Hispanic White and Hispanic persons, both within and across states,” the editorialists wrote. “Future research needs to unpack the complex web of factors driving health and well-being by enabling better understanding of the places where we see persistent health disadvantage and advantage and the state-based explanations for these increasingly important differences determining population risk and resilience. We should be outraged by disparities in longevity and called to act to eliminate them.”
 

Identifying the problem is the first step

“In order to address or fix a problem we should first identify and quantify the problem,” Noel Deep, MD, an internal medicine physician in private practice in Antigo, Wisc., said in an interview.

“This study provides us with the information regarding the trends in life expectancy within states and the disparities in life expectancy when race/ ethnicity and gender are factored into the equation,” said Dr. Deep, who was not involved in the study. “Based on previously available data, we are aware of the increase in life expectancy in the United States over the last few decades, as well as differences in life expectancy for the different ethnicities/races and genders, but these data provide averages, not state or geographical differences. By having this knowledge at a state level, we can use that data to make health policies that address those health inequities and allocate appropriate resources at a state or local level.”

Several studies have identified disparities in health care and life expectancy based on the zip codes, such as the U.S. Small-Area Life Expectancy Estimates Project in 2018. The current study “provides further information for health care professionals and policy makers about the disparities in health outcomes and life expectancy based on race as well as gender, and it is quite detailed,” he said. 

“As clinicians, we should strive to ensure that we are addressing these health inequities through our provision of clinical care and through our advocacy on behalf of our patients so that our nation’s health will improve overall,” he said.

“I would like to see future studies look at the socioeconomic status (income), urban versus rural residence, and place of birth (especially for immigrants),” said Dr. Deep. He also emphasized a need for studies to include the demographics for Hispanic populations; given the possible selection error “because of only healthy individuals immigrating to the United States or the older sicker Hispanics who might be migrating back to their homelands and not being included in the data and falsely increasing the life expectancy for this race/ ethnic groups.

“I would also like to see some research into the cultural and social factors that might explain why Hispanic populations might have a higher life expectancy even if their socioeconomic status is poor,” he said.

The study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. The editorialists had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose, but serves on the editorial advisory board of Internal Medicine News and as chair of the AMA’s Council on Science and Public Health.

Experiencing cyberbullying as a victim was a significant risk factor for suicidality in early adolescents aged 10-13 years, based on data from more than 10,000 individuals.

Adolescent suicidality, defined as suicidal ideation or suicide attempts, remains a major public health issue, Shay Arnon, MA, of Reichman University, Herzliya, Israel, and colleagues wrote.

Although cyberbullying experiences and perpetration have been associated with mental health issues, their roles as specific suicidality risk factors have not been explored, they said.

In a study published in JAMA Network Open, the researchers analyzed data on cyberbullying experiences collected between July 2018 and January 2021 as part of the Adolescent Brain Cognitive Development (ABCD) study, with a diverse population of young adolescents aged 10-13 years.

The study population included 10,414 participants; the mean age was 12 years, 47.6% were female.

Overall, 7.6% of the participants had reported suicidality during the study period. A total of 930 (8.9%) reported experiencing cyberbullying as victims, and 96 (0.9%) reported perpetrating cyberbullying; 66 (69%) of the perpetrators also experienced cyberbullying.

Experiencing cyberbullying was associated with a fourfold increased risk of suicidality (odds ratio, 4.2), that remained significant after controlling for factors including demographics and multiple environmental risk and protective factors, including negative life events, family conflict, parental monitoring, school environment, and racial/ethnic discrimination (OR, 2.5), and after controlling for internalizing and externalizing psychopathology (OR, 1.8).

Adolescents who were both target and perpetrator of offline peer aggression had an increased risk of suicidality (OR, 1.5 for both), and cyberbullying experiences also remained associated with suicidality when included with offline bullying as target and perpetrator (OR, 1.7).

The results contradict previous studies showing an increased risk of suicidality in cyberbullying perpetrators as well as victims, the researchers noted. Some possible reasons for this difference are the anonymity of many cyberbullying perpetrators, and the tendency of many adolescents on social media to make quick-turn comments without thinking of their actions as offensive to others.

The study findings were limited by several factors including the cross-sectional design, which prevented conclusions about causality, a low-resolution screening for cyberbullying experiences, and the effect of unmeasured confounding variables, the researchers noted. Other limitations include the collection of data before the COVID-19 pandemic, so the effects of the pandemic on peer online communication and cyberbullying could not be determined.

However, the results suggest that experiencing cyberbullying is significantly associated with suicidality in young adolescents independent of other peer aggression experiences. “Assessment of cyberbullying experiences among children and adolescents should be a component of the comprehensive suicide risk assessment,” they concluded.
 

Pandemic pushed existing cyberbullying problems

“Electronic media use has increased significantly in the early adolescent demographic, particularly during the COVID-19 pandemic,” Peter L. Loper Jr., MD, of the University of South Carolina, Columbia, said in an interview.

“In many cases, the majority of an adolescent’s peer-peer interactions are now occurring on electronic devices. This has dramatically increased the incidence and prevalence of cyberbullying, making this study very timely and relevant,” said Dr. Loper, who was not involved in the study.

“From an experiential, ethnographic standpoint working on a psychiatric acute crisis stabilization unit, we have consistently recognized cyberbullying as a common and frequent etiology of suicidal ideation or attempt in the adolescents admitted to our unit,” said Dr. Loper. 

“Unfortunately, much of the peer-peer interactions vital to supporting healthy adolescent development are now occurring on electronic devices instead of real-time and in person,” said Dr. Loper. “This comes with great risk to our adolescents and makes them susceptible to multiple potential dangers, not the least of which is cyberbullying.

“The biggest challenge in mitigating the impact of cyberbullying is that most adolescences want to have access to electronic media,” he said. “Limiting adolescents’ access to electronic media, and monitoring adolescents’ electronic media use are vital steps to preventing cyberbullying. Apps such as ‘Bark’ can used by parents to monitor their adolescents’ electronic media activity to ensure their safety and well-being.”

Additional research is needed to focus on other areas in which electronic media use may be affecting adolescents’ social, emotional, and psychological well-being and development, “which will become more and more important as electronic media use in this demographic continues to increase,” Dr. Loper said.

The study was supported by the National Institute of Mental Health and the Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, University of Pennsylvania. The researchers had no financial conflicts to disclose. Dr. Loper had no financial conflicts to disclose.

Experiencing cyberbullying as a victim was a significant risk factor for suicidality in early adolescents aged 10-13 years, based on data from more than 10,000 individuals.

Adolescent suicidality, defined as suicidal ideation or suicide attempts, remains a major public health issue, Shay Arnon, MA, of Reichman University, Herzliya, Israel, and colleagues wrote.

Although cyberbullying experiences and perpetration have been associated with mental health issues, their roles as specific suicidality risk factors have not been explored, they said.

In a study published in JAMA Network Open, the researchers analyzed data on cyberbullying experiences collected between July 2018 and January 2021 as part of the Adolescent Brain Cognitive Development (ABCD) study, with a diverse population of young adolescents aged 10-13 years.

The study population included 10,414 participants; the mean age was 12 years, 47.6% were female.

Overall, 7.6% of the participants had reported suicidality during the study period. A total of 930 (8.9%) reported experiencing cyberbullying as victims, and 96 (0.9%) reported perpetrating cyberbullying; 66 (69%) of the perpetrators also experienced cyberbullying.

Experiencing cyberbullying was associated with a fourfold increased risk of suicidality (odds ratio, 4.2), that remained significant after controlling for factors including demographics and multiple environmental risk and protective factors, including negative life events, family conflict, parental monitoring, school environment, and racial/ethnic discrimination (OR, 2.5), and after controlling for internalizing and externalizing psychopathology (OR, 1.8).

Adolescents who were both target and perpetrator of offline peer aggression had an increased risk of suicidality (OR, 1.5 for both), and cyberbullying experiences also remained associated with suicidality when included with offline bullying as target and perpetrator (OR, 1.7).

The results contradict previous studies showing an increased risk of suicidality in cyberbullying perpetrators as well as victims, the researchers noted. Some possible reasons for this difference are the anonymity of many cyberbullying perpetrators, and the tendency of many adolescents on social media to make quick-turn comments without thinking of their actions as offensive to others.

The study findings were limited by several factors including the cross-sectional design, which prevented conclusions about causality, a low-resolution screening for cyberbullying experiences, and the effect of unmeasured confounding variables, the researchers noted. Other limitations include the collection of data before the COVID-19 pandemic, so the effects of the pandemic on peer online communication and cyberbullying could not be determined.

However, the results suggest that experiencing cyberbullying is significantly associated with suicidality in young adolescents independent of other peer aggression experiences. “Assessment of cyberbullying experiences among children and adolescents should be a component of the comprehensive suicide risk assessment,” they concluded.
 

Pandemic pushed existing cyberbullying problems

“Electronic media use has increased significantly in the early adolescent demographic, particularly during the COVID-19 pandemic,” Peter L. Loper Jr., MD, of the University of South Carolina, Columbia, said in an interview.

“In many cases, the majority of an adolescent’s peer-peer interactions are now occurring on electronic devices. This has dramatically increased the incidence and prevalence of cyberbullying, making this study very timely and relevant,” said Dr. Loper, who was not involved in the study.

“From an experiential, ethnographic standpoint working on a psychiatric acute crisis stabilization unit, we have consistently recognized cyberbullying as a common and frequent etiology of suicidal ideation or attempt in the adolescents admitted to our unit,” said Dr. Loper. 

“Unfortunately, much of the peer-peer interactions vital to supporting healthy adolescent development are now occurring on electronic devices instead of real-time and in person,” said Dr. Loper. “This comes with great risk to our adolescents and makes them susceptible to multiple potential dangers, not the least of which is cyberbullying.

“The biggest challenge in mitigating the impact of cyberbullying is that most adolescences want to have access to electronic media,” he said. “Limiting adolescents’ access to electronic media, and monitoring adolescents’ electronic media use are vital steps to preventing cyberbullying. Apps such as ‘Bark’ can used by parents to monitor their adolescents’ electronic media activity to ensure their safety and well-being.”

Additional research is needed to focus on other areas in which electronic media use may be affecting adolescents’ social, emotional, and psychological well-being and development, “which will become more and more important as electronic media use in this demographic continues to increase,” Dr. Loper said.

The study was supported by the National Institute of Mental Health and the Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, University of Pennsylvania. The researchers had no financial conflicts to disclose. Dr. Loper had no financial conflicts to disclose.

Experiencing cyberbullying as a victim was a significant risk factor for suicidality in early adolescents aged 10-13 years, based on data from more than 10,000 individuals.

Adolescent suicidality, defined as suicidal ideation or suicide attempts, remains a major public health issue, Shay Arnon, MA, of Reichman University, Herzliya, Israel, and colleagues wrote.

Although cyberbullying experiences and perpetration have been associated with mental health issues, their roles as specific suicidality risk factors have not been explored, they said.

In a study published in JAMA Network Open, the researchers analyzed data on cyberbullying experiences collected between July 2018 and January 2021 as part of the Adolescent Brain Cognitive Development (ABCD) study, with a diverse population of young adolescents aged 10-13 years.

The study population included 10,414 participants; the mean age was 12 years, 47.6% were female.

Overall, 7.6% of the participants had reported suicidality during the study period. A total of 930 (8.9%) reported experiencing cyberbullying as victims, and 96 (0.9%) reported perpetrating cyberbullying; 66 (69%) of the perpetrators also experienced cyberbullying.

Experiencing cyberbullying was associated with a fourfold increased risk of suicidality (odds ratio, 4.2), that remained significant after controlling for factors including demographics and multiple environmental risk and protective factors, including negative life events, family conflict, parental monitoring, school environment, and racial/ethnic discrimination (OR, 2.5), and after controlling for internalizing and externalizing psychopathology (OR, 1.8).

Adolescents who were both target and perpetrator of offline peer aggression had an increased risk of suicidality (OR, 1.5 for both), and cyberbullying experiences also remained associated with suicidality when included with offline bullying as target and perpetrator (OR, 1.7).

The results contradict previous studies showing an increased risk of suicidality in cyberbullying perpetrators as well as victims, the researchers noted. Some possible reasons for this difference are the anonymity of many cyberbullying perpetrators, and the tendency of many adolescents on social media to make quick-turn comments without thinking of their actions as offensive to others.

The study findings were limited by several factors including the cross-sectional design, which prevented conclusions about causality, a low-resolution screening for cyberbullying experiences, and the effect of unmeasured confounding variables, the researchers noted. Other limitations include the collection of data before the COVID-19 pandemic, so the effects of the pandemic on peer online communication and cyberbullying could not be determined.

However, the results suggest that experiencing cyberbullying is significantly associated with suicidality in young adolescents independent of other peer aggression experiences. “Assessment of cyberbullying experiences among children and adolescents should be a component of the comprehensive suicide risk assessment,” they concluded.
 

Pandemic pushed existing cyberbullying problems

“Electronic media use has increased significantly in the early adolescent demographic, particularly during the COVID-19 pandemic,” Peter L. Loper Jr., MD, of the University of South Carolina, Columbia, said in an interview.

“In many cases, the majority of an adolescent’s peer-peer interactions are now occurring on electronic devices. This has dramatically increased the incidence and prevalence of cyberbullying, making this study very timely and relevant,” said Dr. Loper, who was not involved in the study.

“From an experiential, ethnographic standpoint working on a psychiatric acute crisis stabilization unit, we have consistently recognized cyberbullying as a common and frequent etiology of suicidal ideation or attempt in the adolescents admitted to our unit,” said Dr. Loper. 

“Unfortunately, much of the peer-peer interactions vital to supporting healthy adolescent development are now occurring on electronic devices instead of real-time and in person,” said Dr. Loper. “This comes with great risk to our adolescents and makes them susceptible to multiple potential dangers, not the least of which is cyberbullying.

“The biggest challenge in mitigating the impact of cyberbullying is that most adolescences want to have access to electronic media,” he said. “Limiting adolescents’ access to electronic media, and monitoring adolescents’ electronic media use are vital steps to preventing cyberbullying. Apps such as ‘Bark’ can used by parents to monitor their adolescents’ electronic media activity to ensure their safety and well-being.”

Additional research is needed to focus on other areas in which electronic media use may be affecting adolescents’ social, emotional, and psychological well-being and development, “which will become more and more important as electronic media use in this demographic continues to increase,” Dr. Loper said.

The study was supported by the National Institute of Mental Health and the Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, University of Pennsylvania. The researchers had no financial conflicts to disclose. Dr. Loper had no financial conflicts to disclose.

Infertility, pregnancy loss, and stillbirth increased women’s later risk of both nonfatal and fatal stroke, based on data from more than 600,000 women.

“To date, multiple studies have generated an expanding body of evidence on the association between pregnancy complications (e.g., gestational diabetes and preeclampsia) and the long-term risk of stroke, but studies on associations with infertility, miscarriage, or stillbirth have produced mixed evidence,” Chen Liang, a PhD candidate at the University of Queensland, Brisbane, Australia, and colleagues wrote.

In a study published in the BMJ, the researchers reviewed data from eight observational cohort studies across seven countries (Australia, China, Japan, the Netherlands, Sweden, the United Kingdom, and the United States). The participants were part of the InterLACE (International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events) consortium established in 2021. Most observational studies included in the analysis began between 1990 and 2000.

The study population included 618,851 women aged 32-73 years at baseline for whom data on infertility, miscarriage, or stillbirth, were available. The primary outcome was the association of infertility, recurrent miscarriage, and stillbirth with risk of first fatal or nonfatal stroke, and the results were further stratified by subtype. Stroke was identified through self-reports, linked hospital data, national patient registers, or death registry data. Baseline was defined as the first incidence of infertility, miscarriage, or stillbirth. The exception was the National Survey of Health and Development, a British birth cohort started in 1946, that collected data retrospectively.

The median follow-up period was 13 years for nonfatal stroke and 9.4 years for fatal stroke.

Overall, 17.2%, 16.6%, and 4.6% of the women experienced infertility, miscarriage, and stillbirth, respectively.

Women with a history of infertility had a significantly higher nonfatal stroke risk, compared with those without infertility (hazard ratio, 1.14). Further analysis by stroke subtypes showed an increased association between miscarriage and ischemic stroke (HR, 1.15).

Those with a history of miscarriage also had an increased risk of nonfatal stroke, compared with those without miscarriages (HR, 1.11). In the miscarriage group, the risk of stroke increased with the number of miscarriages, with adjusted HRs of 1.07, 1.12, and 1.35 for women with one, two, and three or more miscarriages, respectively. When stratified by stroke subtype, women with three or more miscarriages were more likely than women with no miscarriages to experience ischemic and hemorrhagic nonfatal strokes.

Associations were similar between miscarriage history and fatal stroke risk. Women with one, two, and three or more miscarriages had increased risk of fatal stroke, compared with those with no miscarriages (aHR, 1.08, 1.26, and 1.82, respectively, and women with three or more miscarriages had a higher risk of ischemic and hemorrhagic stroke (aHR, 1.83 and 1.84, respectively).

Women with a history of stillbirth had an approximately 31% increased risk of nonfatal stroke, compared with those with no history of stillbirth, with aHRs similar for single and recurrent stillbirths (1.32 and 1.29, respectively). Ischemic nonfatal stroke risk was higher in women with any stillbirth, compared with those without stillbirth (aHR, 1.77). Fatal stroke risk also was higher in women with any stillbirth, compared with those without, and this risk increased with the number of stillbirths (HR, 0.97 and HR, 1.26 for those with one stillbirth and two or more, respectively).

“The increased risk of stroke associated with infertility or recurrent stillbirths was mainly driven by a single subtype of stroke (nonfatal ischemic stroke or fatal hemorrhagic stroke, respectively), whereas the risk of stroke associated with recurrent miscarriages was driven by both subtypes,” the researchers wrote.

The researchers cited endothelial dysfunction as a potential underlying mechanism for increased stroke risk associated with pregnancy complications. “Endothelial dysfunction might lead to pregnancy loss through placentation-related defects, persist after a complicated pregnancy, and contribute to the development of stroke through reduced vasodilation, proinflammatory status, and prothrombic properties,” and that history of recurrent pregnancy loss might be a female-specific risk factor for stroke.

To mitigate this risk, they advised early monitoring of women with a history of recurrent miscarriages and stillbirths for stroke risk factors such as high blood pressure, blood sugar levels, and lipid levels.

The study findings were limited by several factors including the use of questionnaires to collect information on infertility, miscarriage, and stillbirth, and the potential variation in definitions of infertility, miscarriage, and stillbirth across the included studies, and a lack of data on the effect of different causes or treatments based on reproductive histories, the researchers noted. Other limitations include incomplete data on stroke subtypes and inability to adjust for all covariates such as thyroid disorders and endometriosis. However, the results were strengthened by the large study size and geographically and racially diverse population, extend the current knowledge on associations between infertility, miscarriage, and stillbirth with stroke, and highlight the need for more research on underlying mechanisms.
 

Data support gender-specific stroke risk stratification

“Studies that seek to understand gender differences and disparities in adverse outcomes, such as stroke risk, are extremely important given that women historically were excluded from research studies,” Catherine M. Albright, MD, of the University of Washington, Seattle, said in an interview. “By doing these studies, we are able to better risk stratify people in order to better predict and modify risks,” added Dr. Albright, who was not involved in the current study.

“It is well known than adverse pregnancy outcomes such as hypertension in pregnancy, fetal growth restriction, and preterm birth, lead to increased risk of cardiovascular disease and stroke later in life, so the general findings of an association between other adverse reproductive and pregnancy outcomes leads to increased stroke risk are not surprising,” she said.

“The take-home message is that outcomes for pregnancy really do provide a window to future health,” said Dr. Albright. “For clinicians, especially non-ob.gyns., knowing a complete pregnancy history for any new patient is important and can help risk-stratify patients, especially as we continue to gain knowledge like what is shown in this study.”

However, “this study did not evaluate why individual patients may have had infertility, recurrent pregnancy loss, or stillbirth, so research to look further into this association to determine if there is an underlying medical condition that could be treated and therefore possibly reduce both pregnancy complications and future stroke risks would be important,” Dr. Albright noted.

The study was supported by the Australian National Health and Medical Research Council Centres of Research Excellence; one corresponding author was supported by an Australian National Health and Medical Research Council Investigator grant. The researchers had no financial conflicts to disclose. Dr. Albright had no financial conflicts to disclose.

Infertility, pregnancy loss, and stillbirth increased women’s later risk of both nonfatal and fatal stroke, based on data from more than 600,000 women.

“To date, multiple studies have generated an expanding body of evidence on the association between pregnancy complications (e.g., gestational diabetes and preeclampsia) and the long-term risk of stroke, but studies on associations with infertility, miscarriage, or stillbirth have produced mixed evidence,” Chen Liang, a PhD candidate at the University of Queensland, Brisbane, Australia, and colleagues wrote.

In a study published in the BMJ, the researchers reviewed data from eight observational cohort studies across seven countries (Australia, China, Japan, the Netherlands, Sweden, the United Kingdom, and the United States). The participants were part of the InterLACE (International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events) consortium established in 2021. Most observational studies included in the analysis began between 1990 and 2000.

The study population included 618,851 women aged 32-73 years at baseline for whom data on infertility, miscarriage, or stillbirth, were available. The primary outcome was the association of infertility, recurrent miscarriage, and stillbirth with risk of first fatal or nonfatal stroke, and the results were further stratified by subtype. Stroke was identified through self-reports, linked hospital data, national patient registers, or death registry data. Baseline was defined as the first incidence of infertility, miscarriage, or stillbirth. The exception was the National Survey of Health and Development, a British birth cohort started in 1946, that collected data retrospectively.

The median follow-up period was 13 years for nonfatal stroke and 9.4 years for fatal stroke.

Overall, 17.2%, 16.6%, and 4.6% of the women experienced infertility, miscarriage, and stillbirth, respectively.

Women with a history of infertility had a significantly higher nonfatal stroke risk, compared with those without infertility (hazard ratio, 1.14). Further analysis by stroke subtypes showed an increased association between miscarriage and ischemic stroke (HR, 1.15).

Those with a history of miscarriage also had an increased risk of nonfatal stroke, compared with those without miscarriages (HR, 1.11). In the miscarriage group, the risk of stroke increased with the number of miscarriages, with adjusted HRs of 1.07, 1.12, and 1.35 for women with one, two, and three or more miscarriages, respectively. When stratified by stroke subtype, women with three or more miscarriages were more likely than women with no miscarriages to experience ischemic and hemorrhagic nonfatal strokes.

Associations were similar between miscarriage history and fatal stroke risk. Women with one, two, and three or more miscarriages had increased risk of fatal stroke, compared with those with no miscarriages (aHR, 1.08, 1.26, and 1.82, respectively, and women with three or more miscarriages had a higher risk of ischemic and hemorrhagic stroke (aHR, 1.83 and 1.84, respectively).

Women with a history of stillbirth had an approximately 31% increased risk of nonfatal stroke, compared with those with no history of stillbirth, with aHRs similar for single and recurrent stillbirths (1.32 and 1.29, respectively). Ischemic nonfatal stroke risk was higher in women with any stillbirth, compared with those without stillbirth (aHR, 1.77). Fatal stroke risk also was higher in women with any stillbirth, compared with those without, and this risk increased with the number of stillbirths (HR, 0.97 and HR, 1.26 for those with one stillbirth and two or more, respectively).

“The increased risk of stroke associated with infertility or recurrent stillbirths was mainly driven by a single subtype of stroke (nonfatal ischemic stroke or fatal hemorrhagic stroke, respectively), whereas the risk of stroke associated with recurrent miscarriages was driven by both subtypes,” the researchers wrote.

The researchers cited endothelial dysfunction as a potential underlying mechanism for increased stroke risk associated with pregnancy complications. “Endothelial dysfunction might lead to pregnancy loss through placentation-related defects, persist after a complicated pregnancy, and contribute to the development of stroke through reduced vasodilation, proinflammatory status, and prothrombic properties,” and that history of recurrent pregnancy loss might be a female-specific risk factor for stroke.

To mitigate this risk, they advised early monitoring of women with a history of recurrent miscarriages and stillbirths for stroke risk factors such as high blood pressure, blood sugar levels, and lipid levels.

The study findings were limited by several factors including the use of questionnaires to collect information on infertility, miscarriage, and stillbirth, and the potential variation in definitions of infertility, miscarriage, and stillbirth across the included studies, and a lack of data on the effect of different causes or treatments based on reproductive histories, the researchers noted. Other limitations include incomplete data on stroke subtypes and inability to adjust for all covariates such as thyroid disorders and endometriosis. However, the results were strengthened by the large study size and geographically and racially diverse population, extend the current knowledge on associations between infertility, miscarriage, and stillbirth with stroke, and highlight the need for more research on underlying mechanisms.
 

Data support gender-specific stroke risk stratification

“Studies that seek to understand gender differences and disparities in adverse outcomes, such as stroke risk, are extremely important given that women historically were excluded from research studies,” Catherine M. Albright, MD, of the University of Washington, Seattle, said in an interview. “By doing these studies, we are able to better risk stratify people in order to better predict and modify risks,” added Dr. Albright, who was not involved in the current study.

“It is well known than adverse pregnancy outcomes such as hypertension in pregnancy, fetal growth restriction, and preterm birth, lead to increased risk of cardiovascular disease and stroke later in life, so the general findings of an association between other adverse reproductive and pregnancy outcomes leads to increased stroke risk are not surprising,” she said.

“The take-home message is that outcomes for pregnancy really do provide a window to future health,” said Dr. Albright. “For clinicians, especially non-ob.gyns., knowing a complete pregnancy history for any new patient is important and can help risk-stratify patients, especially as we continue to gain knowledge like what is shown in this study.”

However, “this study did not evaluate why individual patients may have had infertility, recurrent pregnancy loss, or stillbirth, so research to look further into this association to determine if there is an underlying medical condition that could be treated and therefore possibly reduce both pregnancy complications and future stroke risks would be important,” Dr. Albright noted.

The study was supported by the Australian National Health and Medical Research Council Centres of Research Excellence; one corresponding author was supported by an Australian National Health and Medical Research Council Investigator grant. The researchers had no financial conflicts to disclose. Dr. Albright had no financial conflicts to disclose.

Infertility, pregnancy loss, and stillbirth increased women’s later risk of both nonfatal and fatal stroke, based on data from more than 600,000 women.

“To date, multiple studies have generated an expanding body of evidence on the association between pregnancy complications (e.g., gestational diabetes and preeclampsia) and the long-term risk of stroke, but studies on associations with infertility, miscarriage, or stillbirth have produced mixed evidence,” Chen Liang, a PhD candidate at the University of Queensland, Brisbane, Australia, and colleagues wrote.

In a study published in the BMJ, the researchers reviewed data from eight observational cohort studies across seven countries (Australia, China, Japan, the Netherlands, Sweden, the United Kingdom, and the United States). The participants were part of the InterLACE (International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events) consortium established in 2021. Most observational studies included in the analysis began between 1990 and 2000.

The study population included 618,851 women aged 32-73 years at baseline for whom data on infertility, miscarriage, or stillbirth, were available. The primary outcome was the association of infertility, recurrent miscarriage, and stillbirth with risk of first fatal or nonfatal stroke, and the results were further stratified by subtype. Stroke was identified through self-reports, linked hospital data, national patient registers, or death registry data. Baseline was defined as the first incidence of infertility, miscarriage, or stillbirth. The exception was the National Survey of Health and Development, a British birth cohort started in 1946, that collected data retrospectively.

The median follow-up period was 13 years for nonfatal stroke and 9.4 years for fatal stroke.

Overall, 17.2%, 16.6%, and 4.6% of the women experienced infertility, miscarriage, and stillbirth, respectively.

Women with a history of infertility had a significantly higher nonfatal stroke risk, compared with those without infertility (hazard ratio, 1.14). Further analysis by stroke subtypes showed an increased association between miscarriage and ischemic stroke (HR, 1.15).

Those with a history of miscarriage also had an increased risk of nonfatal stroke, compared with those without miscarriages (HR, 1.11). In the miscarriage group, the risk of stroke increased with the number of miscarriages, with adjusted HRs of 1.07, 1.12, and 1.35 for women with one, two, and three or more miscarriages, respectively. When stratified by stroke subtype, women with three or more miscarriages were more likely than women with no miscarriages to experience ischemic and hemorrhagic nonfatal strokes.

Associations were similar between miscarriage history and fatal stroke risk. Women with one, two, and three or more miscarriages had increased risk of fatal stroke, compared with those with no miscarriages (aHR, 1.08, 1.26, and 1.82, respectively, and women with three or more miscarriages had a higher risk of ischemic and hemorrhagic stroke (aHR, 1.83 and 1.84, respectively).

Women with a history of stillbirth had an approximately 31% increased risk of nonfatal stroke, compared with those with no history of stillbirth, with aHRs similar for single and recurrent stillbirths (1.32 and 1.29, respectively). Ischemic nonfatal stroke risk was higher in women with any stillbirth, compared with those without stillbirth (aHR, 1.77). Fatal stroke risk also was higher in women with any stillbirth, compared with those without, and this risk increased with the number of stillbirths (HR, 0.97 and HR, 1.26 for those with one stillbirth and two or more, respectively).

“The increased risk of stroke associated with infertility or recurrent stillbirths was mainly driven by a single subtype of stroke (nonfatal ischemic stroke or fatal hemorrhagic stroke, respectively), whereas the risk of stroke associated with recurrent miscarriages was driven by both subtypes,” the researchers wrote.

The researchers cited endothelial dysfunction as a potential underlying mechanism for increased stroke risk associated with pregnancy complications. “Endothelial dysfunction might lead to pregnancy loss through placentation-related defects, persist after a complicated pregnancy, and contribute to the development of stroke through reduced vasodilation, proinflammatory status, and prothrombic properties,” and that history of recurrent pregnancy loss might be a female-specific risk factor for stroke.

To mitigate this risk, they advised early monitoring of women with a history of recurrent miscarriages and stillbirths for stroke risk factors such as high blood pressure, blood sugar levels, and lipid levels.

The study findings were limited by several factors including the use of questionnaires to collect information on infertility, miscarriage, and stillbirth, and the potential variation in definitions of infertility, miscarriage, and stillbirth across the included studies, and a lack of data on the effect of different causes or treatments based on reproductive histories, the researchers noted. Other limitations include incomplete data on stroke subtypes and inability to adjust for all covariates such as thyroid disorders and endometriosis. However, the results were strengthened by the large study size and geographically and racially diverse population, extend the current knowledge on associations between infertility, miscarriage, and stillbirth with stroke, and highlight the need for more research on underlying mechanisms.
 

Data support gender-specific stroke risk stratification

“Studies that seek to understand gender differences and disparities in adverse outcomes, such as stroke risk, are extremely important given that women historically were excluded from research studies,” Catherine M. Albright, MD, of the University of Washington, Seattle, said in an interview. “By doing these studies, we are able to better risk stratify people in order to better predict and modify risks,” added Dr. Albright, who was not involved in the current study.

“It is well known than adverse pregnancy outcomes such as hypertension in pregnancy, fetal growth restriction, and preterm birth, lead to increased risk of cardiovascular disease and stroke later in life, so the general findings of an association between other adverse reproductive and pregnancy outcomes leads to increased stroke risk are not surprising,” she said.

“The take-home message is that outcomes for pregnancy really do provide a window to future health,” said Dr. Albright. “For clinicians, especially non-ob.gyns., knowing a complete pregnancy history for any new patient is important and can help risk-stratify patients, especially as we continue to gain knowledge like what is shown in this study.”

However, “this study did not evaluate why individual patients may have had infertility, recurrent pregnancy loss, or stillbirth, so research to look further into this association to determine if there is an underlying medical condition that could be treated and therefore possibly reduce both pregnancy complications and future stroke risks would be important,” Dr. Albright noted.

The study was supported by the Australian National Health and Medical Research Council Centres of Research Excellence; one corresponding author was supported by an Australian National Health and Medical Research Council Investigator grant. The researchers had no financial conflicts to disclose. Dr. Albright had no financial conflicts to disclose.

Infants who were introduced to a low-protein diet – high in fruit, vegetables, and roots – ate more fruits and vegetables at 12 and 18 months of age, compared with those who ate a conventional diet, in a new study.

The “Nordic diet” has shown health benefits in children and adults, but has not been studied in infants, said Ulrica Johansson, MD, of Umeå (Sweden) University, in a presentation on the study at the annual meeting of the European Society for Paediatric Gastroenterology, Hepatology, and Nutrition.

A healthy and sustainable diet early in life could have a significant impact on future health, Dr. Johansson said in an interview.

Dr. Johansson and colleagues aimed to investigate the effect of a Nordic diet in infants aged 4-18 months in the OTIS trial. All infants were breastfed or formula-fed at baseline.
 

Study methods and results

A total of 250 infants aged 4-6 months were randomized to consuming a Nordic diet or a conventional diet. Those in the Nordic group received exposures to Nordic foods and flavors, including Nordic fruit, berries, vegetables, and roots. Those in the conventional group received baby food products that followed the current Swedish dietary recommendations for infants. The researchers collected data on dietary intake, biomarkers, and growth from baseline up to 18 months of age.

Notably, acceptance of all the flavors in the Nordic diet was high, including those with sour or bitter taste, such as cranberry and white radish, Dr. Johansson said in her presentation. Food refusals were few, and did not differ among the Nordic food offerings.

At both 12- and 18-month follow-ups, infants in the Nordic group consumed 42%-45% more fruits and vegetables compared with those in the conventional group (P < .001). Plasma folate levels also were significantly higher in the Nordic group compared with in the conventional group, at both 12 months and 18 months (P < .001 and P < .003, respectively).

The daily mean protein intake ranged from 17% to 29% lower in the Nordic group compared with in the conventional group, at both 12 months and 18 months. The intake of protein in terms of g/kg of body weight was significantly lower in the Nordic group, at both time points. Lower protein intake was confirmed by blood urea nitrogen measurements.

The protein intake in the Nordic group still fell within the safe level recommended for healthy growth in young children by the World Health Organization, noted Dr. Johansson, and no significant differences were observed in growth between the groups. Total energy intake, iron status, and duration of breastfeeding also remained similar between the groups throughout the study period.

Parents received support from research nurses via social media and monthly clinic visits, which she believes contributed to the success of the intervention, she said.
 

Nordic diet offers feasible encouragement of healthy eating

The key message for clinicians, and for parents of young children, is that “the protein-reduced, Nordic diet is both feasible and safe for infants’ growth, nutritional requirements, and development during the complementary feeding period,” Dr. Johansson said in an interview. “Thus, it may serve as a healthy and environmentally sustainable diet alternative for infants and their parents in the future.”

“Nordic foods are feasible to use when exposing infants to a variety of flavors so that healthy food preferences can be established early in life; Nordic berries and some root vegetables are preferable when introducing bitter and sour tastes during the sensitive period,” she added.

“Multicomponent interventions with long-term follow-up are required to advance the field of child nutrition research,” Dr. Johansson emphasized. Home-based interventions are lacking, and “more studies are needed to bridge the gap in research between the transfer period from baby food to family food at 1-2 years of age.”

Large, randomized controlled studies of Nordic diet during infancy and later childhood are needed as well, said Dr. Johansson. “The long-term effects of the Nordic diet during this highly dynamic period of childhood need continued follow-up to school age to give indications of any lasting health effects,” and the researchers plan to follow the current study population at 7 years of age.

Findings reinforce need for better nutrition

Previous research documents concern for childhood obesity associated with higher intake of protein, fats and overall calories in infancy, said Cathy Haut, DNP, CPNP-AC, CPNP-PC, a pediatric nurse practitioner in Rehoboth Beach, Del., in an interview. “The inclusion of high-calorie, high-fat foods contributes to obesity in all children, so focusing on intake of fruits and vegetables is extremely important early in life,” she said.

A key barrier to the widespread use of a Nordic-type diet is that and vegetables tend to be more expensive than other foods and may not be readily available to all families, especially lower income families, Dr. Haut added.

However, for primary care clinicians, the current study reinforces the need to encourage the intake of fruits and vegetables at all ages, beginning in infancy, she said.

Looking ahead, “there is still limited information in the literature about the ideal recommended daily protein, except for increased amounts needed for preterm infants, early infancy, and during periods of healing,” Dr. Haut emphasized. “Some controls for this study were not included in the abstract, such as monitoring what foods were given to the infants in the conventional group. Parent and caregiver interpretation of recommendations can be highly variable,” she noted. Also, “The activity levels of late infancy and toddlers can vary in terms of energy usage, especially when crawling, walking, running and other exercise-related activities begin. These factors were not readily available in the abstract/study,” she said.  

The OTIS trial was sponsored by Semper. Dr. Johansson had no financial conflicts to disclose. Dr. Haut had no financial conflicts to disclose, but serves on the Editorial Advisory Board of Pediatric News.

Infants who were introduced to a low-protein diet – high in fruit, vegetables, and roots – ate more fruits and vegetables at 12 and 18 months of age, compared with those who ate a conventional diet, in a new study.

The “Nordic diet” has shown health benefits in children and adults, but has not been studied in infants, said Ulrica Johansson, MD, of Umeå (Sweden) University, in a presentation on the study at the annual meeting of the European Society for Paediatric Gastroenterology, Hepatology, and Nutrition.

A healthy and sustainable diet early in life could have a significant impact on future health, Dr. Johansson said in an interview.

Dr. Johansson and colleagues aimed to investigate the effect of a Nordic diet in infants aged 4-18 months in the OTIS trial. All infants were breastfed or formula-fed at baseline.
 

Study methods and results

A total of 250 infants aged 4-6 months were randomized to consuming a Nordic diet or a conventional diet. Those in the Nordic group received exposures to Nordic foods and flavors, including Nordic fruit, berries, vegetables, and roots. Those in the conventional group received baby food products that followed the current Swedish dietary recommendations for infants. The researchers collected data on dietary intake, biomarkers, and growth from baseline up to 18 months of age.

Notably, acceptance of all the flavors in the Nordic diet was high, including those with sour or bitter taste, such as cranberry and white radish, Dr. Johansson said in her presentation. Food refusals were few, and did not differ among the Nordic food offerings.

At both 12- and 18-month follow-ups, infants in the Nordic group consumed 42%-45% more fruits and vegetables compared with those in the conventional group (P < .001). Plasma folate levels also were significantly higher in the Nordic group compared with in the conventional group, at both 12 months and 18 months (P < .001 and P < .003, respectively).

The daily mean protein intake ranged from 17% to 29% lower in the Nordic group compared with in the conventional group, at both 12 months and 18 months. The intake of protein in terms of g/kg of body weight was significantly lower in the Nordic group, at both time points. Lower protein intake was confirmed by blood urea nitrogen measurements.

The protein intake in the Nordic group still fell within the safe level recommended for healthy growth in young children by the World Health Organization, noted Dr. Johansson, and no significant differences were observed in growth between the groups. Total energy intake, iron status, and duration of breastfeeding also remained similar between the groups throughout the study period.

Parents received support from research nurses via social media and monthly clinic visits, which she believes contributed to the success of the intervention, she said.
 

Nordic diet offers feasible encouragement of healthy eating

The key message for clinicians, and for parents of young children, is that “the protein-reduced, Nordic diet is both feasible and safe for infants’ growth, nutritional requirements, and development during the complementary feeding period,” Dr. Johansson said in an interview. “Thus, it may serve as a healthy and environmentally sustainable diet alternative for infants and their parents in the future.”

“Nordic foods are feasible to use when exposing infants to a variety of flavors so that healthy food preferences can be established early in life; Nordic berries and some root vegetables are preferable when introducing bitter and sour tastes during the sensitive period,” she added.

“Multicomponent interventions with long-term follow-up are required to advance the field of child nutrition research,” Dr. Johansson emphasized. Home-based interventions are lacking, and “more studies are needed to bridge the gap in research between the transfer period from baby food to family food at 1-2 years of age.”

Large, randomized controlled studies of Nordic diet during infancy and later childhood are needed as well, said Dr. Johansson. “The long-term effects of the Nordic diet during this highly dynamic period of childhood need continued follow-up to school age to give indications of any lasting health effects,” and the researchers plan to follow the current study population at 7 years of age.

Findings reinforce need for better nutrition

Previous research documents concern for childhood obesity associated with higher intake of protein, fats and overall calories in infancy, said Cathy Haut, DNP, CPNP-AC, CPNP-PC, a pediatric nurse practitioner in Rehoboth Beach, Del., in an interview. “The inclusion of high-calorie, high-fat foods contributes to obesity in all children, so focusing on intake of fruits and vegetables is extremely important early in life,” she said.

A key barrier to the widespread use of a Nordic-type diet is that and vegetables tend to be more expensive than other foods and may not be readily available to all families, especially lower income families, Dr. Haut added.

However, for primary care clinicians, the current study reinforces the need to encourage the intake of fruits and vegetables at all ages, beginning in infancy, she said.

Looking ahead, “there is still limited information in the literature about the ideal recommended daily protein, except for increased amounts needed for preterm infants, early infancy, and during periods of healing,” Dr. Haut emphasized. “Some controls for this study were not included in the abstract, such as monitoring what foods were given to the infants in the conventional group. Parent and caregiver interpretation of recommendations can be highly variable,” she noted. Also, “The activity levels of late infancy and toddlers can vary in terms of energy usage, especially when crawling, walking, running and other exercise-related activities begin. These factors were not readily available in the abstract/study,” she said.  

The OTIS trial was sponsored by Semper. Dr. Johansson had no financial conflicts to disclose. Dr. Haut had no financial conflicts to disclose, but serves on the Editorial Advisory Board of Pediatric News.

Infants who were introduced to a low-protein diet – high in fruit, vegetables, and roots – ate more fruits and vegetables at 12 and 18 months of age, compared with those who ate a conventional diet, in a new study.

The “Nordic diet” has shown health benefits in children and adults, but has not been studied in infants, said Ulrica Johansson, MD, of Umeå (Sweden) University, in a presentation on the study at the annual meeting of the European Society for Paediatric Gastroenterology, Hepatology, and Nutrition.

A healthy and sustainable diet early in life could have a significant impact on future health, Dr. Johansson said in an interview.

Dr. Johansson and colleagues aimed to investigate the effect of a Nordic diet in infants aged 4-18 months in the OTIS trial. All infants were breastfed or formula-fed at baseline.
 

Study methods and results

A total of 250 infants aged 4-6 months were randomized to consuming a Nordic diet or a conventional diet. Those in the Nordic group received exposures to Nordic foods and flavors, including Nordic fruit, berries, vegetables, and roots. Those in the conventional group received baby food products that followed the current Swedish dietary recommendations for infants. The researchers collected data on dietary intake, biomarkers, and growth from baseline up to 18 months of age.

Notably, acceptance of all the flavors in the Nordic diet was high, including those with sour or bitter taste, such as cranberry and white radish, Dr. Johansson said in her presentation. Food refusals were few, and did not differ among the Nordic food offerings.

At both 12- and 18-month follow-ups, infants in the Nordic group consumed 42%-45% more fruits and vegetables compared with those in the conventional group (P < .001). Plasma folate levels also were significantly higher in the Nordic group compared with in the conventional group, at both 12 months and 18 months (P < .001 and P < .003, respectively).

The daily mean protein intake ranged from 17% to 29% lower in the Nordic group compared with in the conventional group, at both 12 months and 18 months. The intake of protein in terms of g/kg of body weight was significantly lower in the Nordic group, at both time points. Lower protein intake was confirmed by blood urea nitrogen measurements.

The protein intake in the Nordic group still fell within the safe level recommended for healthy growth in young children by the World Health Organization, noted Dr. Johansson, and no significant differences were observed in growth between the groups. Total energy intake, iron status, and duration of breastfeeding also remained similar between the groups throughout the study period.

Parents received support from research nurses via social media and monthly clinic visits, which she believes contributed to the success of the intervention, she said.
 

Nordic diet offers feasible encouragement of healthy eating

The key message for clinicians, and for parents of young children, is that “the protein-reduced, Nordic diet is both feasible and safe for infants’ growth, nutritional requirements, and development during the complementary feeding period,” Dr. Johansson said in an interview. “Thus, it may serve as a healthy and environmentally sustainable diet alternative for infants and their parents in the future.”

“Nordic foods are feasible to use when exposing infants to a variety of flavors so that healthy food preferences can be established early in life; Nordic berries and some root vegetables are preferable when introducing bitter and sour tastes during the sensitive period,” she added.

“Multicomponent interventions with long-term follow-up are required to advance the field of child nutrition research,” Dr. Johansson emphasized. Home-based interventions are lacking, and “more studies are needed to bridge the gap in research between the transfer period from baby food to family food at 1-2 years of age.”

Large, randomized controlled studies of Nordic diet during infancy and later childhood are needed as well, said Dr. Johansson. “The long-term effects of the Nordic diet during this highly dynamic period of childhood need continued follow-up to school age to give indications of any lasting health effects,” and the researchers plan to follow the current study population at 7 years of age.

Findings reinforce need for better nutrition

Previous research documents concern for childhood obesity associated with higher intake of protein, fats and overall calories in infancy, said Cathy Haut, DNP, CPNP-AC, CPNP-PC, a pediatric nurse practitioner in Rehoboth Beach, Del., in an interview. “The inclusion of high-calorie, high-fat foods contributes to obesity in all children, so focusing on intake of fruits and vegetables is extremely important early in life,” she said.

A key barrier to the widespread use of a Nordic-type diet is that and vegetables tend to be more expensive than other foods and may not be readily available to all families, especially lower income families, Dr. Haut added.

However, for primary care clinicians, the current study reinforces the need to encourage the intake of fruits and vegetables at all ages, beginning in infancy, she said.

Looking ahead, “there is still limited information in the literature about the ideal recommended daily protein, except for increased amounts needed for preterm infants, early infancy, and during periods of healing,” Dr. Haut emphasized. “Some controls for this study were not included in the abstract, such as monitoring what foods were given to the infants in the conventional group. Parent and caregiver interpretation of recommendations can be highly variable,” she noted. Also, “The activity levels of late infancy and toddlers can vary in terms of energy usage, especially when crawling, walking, running and other exercise-related activities begin. These factors were not readily available in the abstract/study,” she said.  

The OTIS trial was sponsored by Semper. Dr. Johansson had no financial conflicts to disclose. Dr. Haut had no financial conflicts to disclose, but serves on the Editorial Advisory Board of Pediatric News.