Medication-induced rhabdomyolysis

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Medication-induced rhabdomyolysis

Editor’s note: Readers’ Forum is a department for correspondence from readers that is not in response to articles published in Current Psychiatry. All submissions to Readers’ Forum undergo peer review and are subject to editing for length and style. For more information, contact letters@currentpsychiatry.com.

Ms. A, age 32, has a history of anxiety, bipolar disorder, and borderline personality disorder. She is undergoing treatment with lamotrigine 200 mg/d at bedtime, aripiprazole 5 mg/d, trazodone 100 mg/d at bedtime, clonazepam 0.5 mg twice a day, and hydroxyzine 25 mg twice a day. She presents to the emergency department with myalgia, left upper and lower extremity numbness, and weakness. These symptoms started at approximately 3 am the same day. She denies fever, chills, shortness of breath, chest pain, abdominal pain, lightheadedness, or dizziness, as well as any history of similar symptoms.

Ms. A’s vital signs are hemodynamically stable, but her pulse is 113 bpm. On examination, she appears anxious and has decreased sensation in her upper and lower extremities, with 3/5 strength on the left side. Her laboratory results indicate mild leukocytosis, hyponatremia (129 mmol/L; reference range 136 to 145 mmol/L), and elevations in serum creatinine (3.7 mg/dL; reference range 0.6 to 1.2 mg/dL), aspartate aminotransferase (654 U/L; reference range 10 to 42 U/L), alanine transaminase (234 U/L; reference range 10 to 60 U/L), and troponin (2.11 ng/mL; reference range 0 to 0.04 ng/mL). A urinalysis reveals darkly colored urine with large red blood cells.

Neurology and Cardiology consultations are requested to rule out stroke and acute coronary syndromes. A computed tomography scan of the head shows no acute intracranial findings. Her creatinine kinase (CK) level is elevated (>42,670 U/L; reference range 22 to 232 U/L), which prompts a search for causes of rhabdomyolysis, a breakdown of muscle tissue that releases muscle fiber contents into the blood. Ms. A reports no history of recent trauma or strenuous exercise. Infectious, endocrine, and other workups are negative. After a consult to Psychiatry, the treating clinicians suspect that the most likely cause for rhabdomyolysis is aripiprazole.

Ms. A is treated with IV isotonic fluids. Aripiprazole is stopped and her CK levels are closely monitored. CK levels continue to trend down, and by Day 6 of hospitalization her CK level is 1,648 U/L. Her transaminase levels also improve; these elevations are considered likely secondary to rhabdomyolysis. Because there is notable improvement in CK and transaminase levels after stopping aripiprazole, Ms. A is discharged and instructed to follow up with a psychiatrist for further management.

Aripiprazole and rhabdomyolysis

According to the National Institute of Mental Health, an estimated 2.8% of the US population has bipolar disorder and 0.24% to 0.64% has schizophrenia.1,2 Antipsychotics are often used to treat these disorders. The prevalence of antipsychotic use in the general adult population is 1.6%.3 The use of second-generation antipsychotics (SGAs) has increased over recent years with the availability of a variety of formulations, such as immediate-release injectable, long-acting injectable, and orally disintegrating tablets in addition to the customary oral tablets. SGAs can cause several adverse effects, including weight gain, hyperlipidemia, diabetes, QTc prolongation, extrapyramidal side effects, myocarditis, agranulocytosis, cataracts, and sexual adverse effects.4

Antipsychotic use is more commonly associated with serotonin syndrome and neuroleptic malignant syndrome than it is with rhabdomyolysis. Rhabdomyolysis as an adverse effect of antipsychotic use has not been well understood or reported. One study found the prevalence of rhabdomyolysis was approximately 10% among patients who received an antipsychotic medication.5 There have been 4 case reports of clozapine use, 6 of olanzapine use, and 3 of aripiprazole use associated with rhabdomyolysis.6-8 Therefore, this would be the fourth case report to describe aripiprazole-associated rhabdomyolysis.

Aripiprazole is FDA-approved for the treatment of schizophrenia. In this case report, we found that aripiprazole could have led to rhabdomyolysis. Aripiprazole is a quinoline derivative that acts by binding to the 5-HT1A and 5-HT2A receptors.9,10 It acts as a partial agonist at 5-HT1A receptors, an antagonist at 5-HT2A receptors, and a partial agonist and stabilizer at the D2 receptor. By binding to the dopamine receptor in its G protein–coupled state, aripiprazole blocks the receptor in the presence of excessive dopamine.11-13 The mechanism of how aripiprazole could cause rhabdomyolysis is unclear. One proposed mechanism is that it can increase the permeability of skeletal muscle by 5-HT2A antagonism. This leads to a decrease in glucose reuptake in the cell and increases the permeability of the cell membrane, leading to elevations in CK levels.14 Another proposed mechanism is that dopamine blockade in the nigrostriatal pathway can result in muscle stiffness, rigidity, parkinsonian-like symptoms, and akathisia, which can result in elevated CK levels.15 There are only 3 other published cases of aripiprazole-induced rhabdomyolysis; we hope this case report will add value to the available literature. More evidence is needed to establish the safety profile of aripiprazole.

References

1. National Institute of Mental Health. Prevalence of bipolar disorder among adults. Accessed December 21, 2022. https://www.nimh.nih.gov/health/statistics/bipolar-disorder#part_2605

2. National Institute of Mental Health. Schizophrenia. Accessed December 21, 2022. https://www.nimh.nih.gov/health/statistics/schizophrenia#part_2543

3. Dennis JA, Gittner LS, Payne JD, et al. Characteristics of U.S. adults taking prescription antipsychotic medications, National Health and Nutrition Examination Survey 2013-2018. BMC Psychiatry. 2020;20(1):483. doi: 10.1186/s12888-020-02895-4

4. Willner K, Vasan S, Abdijadid S. Atypical antipsychotic agents. In: StatPearls [Internet]. StatPearls Publishing; 2022. Updated May 2, 2022. Accessed December 22, 2022. https://www.ncbi.nlm.nih.gov/books/NBK448156/

5. Packard K, Price P, Hanson A. Antipsychotic use and the risk of rhabdomyolysis. J Pharm Pract 2014;27(5):501-512. doi: 10.1177/0897190013516509

6. Wu YF, Chang KY. Aripiprazole-associated rhabdomyolysis in a patient with schizophrenia. J Neuropsychiatry Clin Neurosci. 2011;23(3):E51. 

7. Marzetti E, Bocchino L, Teramo S, et al. Rhabdomyolysis in a patient on aripiprazole with traumatic hip prosthesis luxation. J Neuropsychiatry Clin Neurosci. 2012;24(4):E40-E41.

8. Zhu X, Hu J, Deng S, et al. Rhabdomyolysis and elevated liver enzymes after rapid correction of hyponatremia due to pneumonia and concurrent use of aripiprazole: a case report. Aust N Z J Psychiatry. 2018;52(2):206. doi:10.1177/0004867417743342

9. Stahl SM. Essential Psychopharmacology: Neuroscientific Basis and Practical Application. 2nd ed. Cambridge University Press; 2000.

10. Stahl SM. “Hit-and-run” actions at dopamine receptors, part 1: mechanism of action of atypical antipsychotics. J Clin Psychiatry. 2001;62(9):670-671.

11. Leysen JE, Janssen PM, Schotte A, et al. Interaction of antipsychotic drugs with neurotransmitter receptor sites in vitro and in vivo in relation to pharmacological and clinical effects: role of 5HT2 receptors. Psychopharmacology (Berl). 1993;112(1 Suppl):S40-S54. 

12. Millan MJ. Improving the treatment of schizophrenia: focus on serotonin (5-HT)(1A) receptors. J Pharmacol Exp Ther. 2000;295(3):853-861.

13. Millan MJ. The neurobiology and control of anxious states. Prog Neurobiol. 2003;70(2):83-244.

14. Meltzer HY, Cola PA, Parsa M. Marked elevations of serum creatine kinase activity associated with antipsychotic drug treatment. Neuropsychopharmacology. 1996;15(4):395-405. 

15. Devarajan S, Dursun SM. Antipsychotic drugs, serum creatine kinase (CPK) and possible mechanisms. Psychopharmacology (Berl). 2000;152(1):122.

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Dr. Gude is a PGY-2 Psychiatry Resident, Hackensack University Medical Center, Hackensack, New Jersey. Dr. Bisen is Assistant Professor and Residency Site Director, Hackensack University Medical Center, Hackensack, New Jersey. Ms. Fujii is a Medical Student, Hackensack Meridian School of Medicine, Nutley, New Jersey.

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Dr. Gude is a PGY-2 Psychiatry Resident, Hackensack University Medical Center, Hackensack, New Jersey. Dr. Bisen is Assistant Professor and Residency Site Director, Hackensack University Medical Center, Hackensack, New Jersey. Ms. Fujii is a Medical Student, Hackensack Meridian School of Medicine, Nutley, New Jersey.

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The authors report no financial relationships with any companies whose products are mentioned in this article, or with manufacturers of competing products.

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Dr. Gude is a PGY-2 Psychiatry Resident, Hackensack University Medical Center, Hackensack, New Jersey. Dr. Bisen is Assistant Professor and Residency Site Director, Hackensack University Medical Center, Hackensack, New Jersey. Ms. Fujii is a Medical Student, Hackensack Meridian School of Medicine, Nutley, New Jersey.

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The authors report no financial relationships with any companies whose products are mentioned in this article, or with manufacturers of competing products.

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Editor’s note: Readers’ Forum is a department for correspondence from readers that is not in response to articles published in Current Psychiatry. All submissions to Readers’ Forum undergo peer review and are subject to editing for length and style. For more information, contact letters@currentpsychiatry.com.

Ms. A, age 32, has a history of anxiety, bipolar disorder, and borderline personality disorder. She is undergoing treatment with lamotrigine 200 mg/d at bedtime, aripiprazole 5 mg/d, trazodone 100 mg/d at bedtime, clonazepam 0.5 mg twice a day, and hydroxyzine 25 mg twice a day. She presents to the emergency department with myalgia, left upper and lower extremity numbness, and weakness. These symptoms started at approximately 3 am the same day. She denies fever, chills, shortness of breath, chest pain, abdominal pain, lightheadedness, or dizziness, as well as any history of similar symptoms.

Ms. A’s vital signs are hemodynamically stable, but her pulse is 113 bpm. On examination, she appears anxious and has decreased sensation in her upper and lower extremities, with 3/5 strength on the left side. Her laboratory results indicate mild leukocytosis, hyponatremia (129 mmol/L; reference range 136 to 145 mmol/L), and elevations in serum creatinine (3.7 mg/dL; reference range 0.6 to 1.2 mg/dL), aspartate aminotransferase (654 U/L; reference range 10 to 42 U/L), alanine transaminase (234 U/L; reference range 10 to 60 U/L), and troponin (2.11 ng/mL; reference range 0 to 0.04 ng/mL). A urinalysis reveals darkly colored urine with large red blood cells.

Neurology and Cardiology consultations are requested to rule out stroke and acute coronary syndromes. A computed tomography scan of the head shows no acute intracranial findings. Her creatinine kinase (CK) level is elevated (>42,670 U/L; reference range 22 to 232 U/L), which prompts a search for causes of rhabdomyolysis, a breakdown of muscle tissue that releases muscle fiber contents into the blood. Ms. A reports no history of recent trauma or strenuous exercise. Infectious, endocrine, and other workups are negative. After a consult to Psychiatry, the treating clinicians suspect that the most likely cause for rhabdomyolysis is aripiprazole.

Ms. A is treated with IV isotonic fluids. Aripiprazole is stopped and her CK levels are closely monitored. CK levels continue to trend down, and by Day 6 of hospitalization her CK level is 1,648 U/L. Her transaminase levels also improve; these elevations are considered likely secondary to rhabdomyolysis. Because there is notable improvement in CK and transaminase levels after stopping aripiprazole, Ms. A is discharged and instructed to follow up with a psychiatrist for further management.

Aripiprazole and rhabdomyolysis

According to the National Institute of Mental Health, an estimated 2.8% of the US population has bipolar disorder and 0.24% to 0.64% has schizophrenia.1,2 Antipsychotics are often used to treat these disorders. The prevalence of antipsychotic use in the general adult population is 1.6%.3 The use of second-generation antipsychotics (SGAs) has increased over recent years with the availability of a variety of formulations, such as immediate-release injectable, long-acting injectable, and orally disintegrating tablets in addition to the customary oral tablets. SGAs can cause several adverse effects, including weight gain, hyperlipidemia, diabetes, QTc prolongation, extrapyramidal side effects, myocarditis, agranulocytosis, cataracts, and sexual adverse effects.4

Antipsychotic use is more commonly associated with serotonin syndrome and neuroleptic malignant syndrome than it is with rhabdomyolysis. Rhabdomyolysis as an adverse effect of antipsychotic use has not been well understood or reported. One study found the prevalence of rhabdomyolysis was approximately 10% among patients who received an antipsychotic medication.5 There have been 4 case reports of clozapine use, 6 of olanzapine use, and 3 of aripiprazole use associated with rhabdomyolysis.6-8 Therefore, this would be the fourth case report to describe aripiprazole-associated rhabdomyolysis.

Aripiprazole is FDA-approved for the treatment of schizophrenia. In this case report, we found that aripiprazole could have led to rhabdomyolysis. Aripiprazole is a quinoline derivative that acts by binding to the 5-HT1A and 5-HT2A receptors.9,10 It acts as a partial agonist at 5-HT1A receptors, an antagonist at 5-HT2A receptors, and a partial agonist and stabilizer at the D2 receptor. By binding to the dopamine receptor in its G protein–coupled state, aripiprazole blocks the receptor in the presence of excessive dopamine.11-13 The mechanism of how aripiprazole could cause rhabdomyolysis is unclear. One proposed mechanism is that it can increase the permeability of skeletal muscle by 5-HT2A antagonism. This leads to a decrease in glucose reuptake in the cell and increases the permeability of the cell membrane, leading to elevations in CK levels.14 Another proposed mechanism is that dopamine blockade in the nigrostriatal pathway can result in muscle stiffness, rigidity, parkinsonian-like symptoms, and akathisia, which can result in elevated CK levels.15 There are only 3 other published cases of aripiprazole-induced rhabdomyolysis; we hope this case report will add value to the available literature. More evidence is needed to establish the safety profile of aripiprazole.

Editor’s note: Readers’ Forum is a department for correspondence from readers that is not in response to articles published in Current Psychiatry. All submissions to Readers’ Forum undergo peer review and are subject to editing for length and style. For more information, contact letters@currentpsychiatry.com.

Ms. A, age 32, has a history of anxiety, bipolar disorder, and borderline personality disorder. She is undergoing treatment with lamotrigine 200 mg/d at bedtime, aripiprazole 5 mg/d, trazodone 100 mg/d at bedtime, clonazepam 0.5 mg twice a day, and hydroxyzine 25 mg twice a day. She presents to the emergency department with myalgia, left upper and lower extremity numbness, and weakness. These symptoms started at approximately 3 am the same day. She denies fever, chills, shortness of breath, chest pain, abdominal pain, lightheadedness, or dizziness, as well as any history of similar symptoms.

Ms. A’s vital signs are hemodynamically stable, but her pulse is 113 bpm. On examination, she appears anxious and has decreased sensation in her upper and lower extremities, with 3/5 strength on the left side. Her laboratory results indicate mild leukocytosis, hyponatremia (129 mmol/L; reference range 136 to 145 mmol/L), and elevations in serum creatinine (3.7 mg/dL; reference range 0.6 to 1.2 mg/dL), aspartate aminotransferase (654 U/L; reference range 10 to 42 U/L), alanine transaminase (234 U/L; reference range 10 to 60 U/L), and troponin (2.11 ng/mL; reference range 0 to 0.04 ng/mL). A urinalysis reveals darkly colored urine with large red blood cells.

Neurology and Cardiology consultations are requested to rule out stroke and acute coronary syndromes. A computed tomography scan of the head shows no acute intracranial findings. Her creatinine kinase (CK) level is elevated (>42,670 U/L; reference range 22 to 232 U/L), which prompts a search for causes of rhabdomyolysis, a breakdown of muscle tissue that releases muscle fiber contents into the blood. Ms. A reports no history of recent trauma or strenuous exercise. Infectious, endocrine, and other workups are negative. After a consult to Psychiatry, the treating clinicians suspect that the most likely cause for rhabdomyolysis is aripiprazole.

Ms. A is treated with IV isotonic fluids. Aripiprazole is stopped and her CK levels are closely monitored. CK levels continue to trend down, and by Day 6 of hospitalization her CK level is 1,648 U/L. Her transaminase levels also improve; these elevations are considered likely secondary to rhabdomyolysis. Because there is notable improvement in CK and transaminase levels after stopping aripiprazole, Ms. A is discharged and instructed to follow up with a psychiatrist for further management.

Aripiprazole and rhabdomyolysis

According to the National Institute of Mental Health, an estimated 2.8% of the US population has bipolar disorder and 0.24% to 0.64% has schizophrenia.1,2 Antipsychotics are often used to treat these disorders. The prevalence of antipsychotic use in the general adult population is 1.6%.3 The use of second-generation antipsychotics (SGAs) has increased over recent years with the availability of a variety of formulations, such as immediate-release injectable, long-acting injectable, and orally disintegrating tablets in addition to the customary oral tablets. SGAs can cause several adverse effects, including weight gain, hyperlipidemia, diabetes, QTc prolongation, extrapyramidal side effects, myocarditis, agranulocytosis, cataracts, and sexual adverse effects.4

Antipsychotic use is more commonly associated with serotonin syndrome and neuroleptic malignant syndrome than it is with rhabdomyolysis. Rhabdomyolysis as an adverse effect of antipsychotic use has not been well understood or reported. One study found the prevalence of rhabdomyolysis was approximately 10% among patients who received an antipsychotic medication.5 There have been 4 case reports of clozapine use, 6 of olanzapine use, and 3 of aripiprazole use associated with rhabdomyolysis.6-8 Therefore, this would be the fourth case report to describe aripiprazole-associated rhabdomyolysis.

Aripiprazole is FDA-approved for the treatment of schizophrenia. In this case report, we found that aripiprazole could have led to rhabdomyolysis. Aripiprazole is a quinoline derivative that acts by binding to the 5-HT1A and 5-HT2A receptors.9,10 It acts as a partial agonist at 5-HT1A receptors, an antagonist at 5-HT2A receptors, and a partial agonist and stabilizer at the D2 receptor. By binding to the dopamine receptor in its G protein–coupled state, aripiprazole blocks the receptor in the presence of excessive dopamine.11-13 The mechanism of how aripiprazole could cause rhabdomyolysis is unclear. One proposed mechanism is that it can increase the permeability of skeletal muscle by 5-HT2A antagonism. This leads to a decrease in glucose reuptake in the cell and increases the permeability of the cell membrane, leading to elevations in CK levels.14 Another proposed mechanism is that dopamine blockade in the nigrostriatal pathway can result in muscle stiffness, rigidity, parkinsonian-like symptoms, and akathisia, which can result in elevated CK levels.15 There are only 3 other published cases of aripiprazole-induced rhabdomyolysis; we hope this case report will add value to the available literature. More evidence is needed to establish the safety profile of aripiprazole.

References

1. National Institute of Mental Health. Prevalence of bipolar disorder among adults. Accessed December 21, 2022. https://www.nimh.nih.gov/health/statistics/bipolar-disorder#part_2605

2. National Institute of Mental Health. Schizophrenia. Accessed December 21, 2022. https://www.nimh.nih.gov/health/statistics/schizophrenia#part_2543

3. Dennis JA, Gittner LS, Payne JD, et al. Characteristics of U.S. adults taking prescription antipsychotic medications, National Health and Nutrition Examination Survey 2013-2018. BMC Psychiatry. 2020;20(1):483. doi: 10.1186/s12888-020-02895-4

4. Willner K, Vasan S, Abdijadid S. Atypical antipsychotic agents. In: StatPearls [Internet]. StatPearls Publishing; 2022. Updated May 2, 2022. Accessed December 22, 2022. https://www.ncbi.nlm.nih.gov/books/NBK448156/

5. Packard K, Price P, Hanson A. Antipsychotic use and the risk of rhabdomyolysis. J Pharm Pract 2014;27(5):501-512. doi: 10.1177/0897190013516509

6. Wu YF, Chang KY. Aripiprazole-associated rhabdomyolysis in a patient with schizophrenia. J Neuropsychiatry Clin Neurosci. 2011;23(3):E51. 

7. Marzetti E, Bocchino L, Teramo S, et al. Rhabdomyolysis in a patient on aripiprazole with traumatic hip prosthesis luxation. J Neuropsychiatry Clin Neurosci. 2012;24(4):E40-E41.

8. Zhu X, Hu J, Deng S, et al. Rhabdomyolysis and elevated liver enzymes after rapid correction of hyponatremia due to pneumonia and concurrent use of aripiprazole: a case report. Aust N Z J Psychiatry. 2018;52(2):206. doi:10.1177/0004867417743342

9. Stahl SM. Essential Psychopharmacology: Neuroscientific Basis and Practical Application. 2nd ed. Cambridge University Press; 2000.

10. Stahl SM. “Hit-and-run” actions at dopamine receptors, part 1: mechanism of action of atypical antipsychotics. J Clin Psychiatry. 2001;62(9):670-671.

11. Leysen JE, Janssen PM, Schotte A, et al. Interaction of antipsychotic drugs with neurotransmitter receptor sites in vitro and in vivo in relation to pharmacological and clinical effects: role of 5HT2 receptors. Psychopharmacology (Berl). 1993;112(1 Suppl):S40-S54. 

12. Millan MJ. Improving the treatment of schizophrenia: focus on serotonin (5-HT)(1A) receptors. J Pharmacol Exp Ther. 2000;295(3):853-861.

13. Millan MJ. The neurobiology and control of anxious states. Prog Neurobiol. 2003;70(2):83-244.

14. Meltzer HY, Cola PA, Parsa M. Marked elevations of serum creatine kinase activity associated with antipsychotic drug treatment. Neuropsychopharmacology. 1996;15(4):395-405. 

15. Devarajan S, Dursun SM. Antipsychotic drugs, serum creatine kinase (CPK) and possible mechanisms. Psychopharmacology (Berl). 2000;152(1):122.

References

1. National Institute of Mental Health. Prevalence of bipolar disorder among adults. Accessed December 21, 2022. https://www.nimh.nih.gov/health/statistics/bipolar-disorder#part_2605

2. National Institute of Mental Health. Schizophrenia. Accessed December 21, 2022. https://www.nimh.nih.gov/health/statistics/schizophrenia#part_2543

3. Dennis JA, Gittner LS, Payne JD, et al. Characteristics of U.S. adults taking prescription antipsychotic medications, National Health and Nutrition Examination Survey 2013-2018. BMC Psychiatry. 2020;20(1):483. doi: 10.1186/s12888-020-02895-4

4. Willner K, Vasan S, Abdijadid S. Atypical antipsychotic agents. In: StatPearls [Internet]. StatPearls Publishing; 2022. Updated May 2, 2022. Accessed December 22, 2022. https://www.ncbi.nlm.nih.gov/books/NBK448156/

5. Packard K, Price P, Hanson A. Antipsychotic use and the risk of rhabdomyolysis. J Pharm Pract 2014;27(5):501-512. doi: 10.1177/0897190013516509

6. Wu YF, Chang KY. Aripiprazole-associated rhabdomyolysis in a patient with schizophrenia. J Neuropsychiatry Clin Neurosci. 2011;23(3):E51. 

7. Marzetti E, Bocchino L, Teramo S, et al. Rhabdomyolysis in a patient on aripiprazole with traumatic hip prosthesis luxation. J Neuropsychiatry Clin Neurosci. 2012;24(4):E40-E41.

8. Zhu X, Hu J, Deng S, et al. Rhabdomyolysis and elevated liver enzymes after rapid correction of hyponatremia due to pneumonia and concurrent use of aripiprazole: a case report. Aust N Z J Psychiatry. 2018;52(2):206. doi:10.1177/0004867417743342

9. Stahl SM. Essential Psychopharmacology: Neuroscientific Basis and Practical Application. 2nd ed. Cambridge University Press; 2000.

10. Stahl SM. “Hit-and-run” actions at dopamine receptors, part 1: mechanism of action of atypical antipsychotics. J Clin Psychiatry. 2001;62(9):670-671.

11. Leysen JE, Janssen PM, Schotte A, et al. Interaction of antipsychotic drugs with neurotransmitter receptor sites in vitro and in vivo in relation to pharmacological and clinical effects: role of 5HT2 receptors. Psychopharmacology (Berl). 1993;112(1 Suppl):S40-S54. 

12. Millan MJ. Improving the treatment of schizophrenia: focus on serotonin (5-HT)(1A) receptors. J Pharmacol Exp Ther. 2000;295(3):853-861.

13. Millan MJ. The neurobiology and control of anxious states. Prog Neurobiol. 2003;70(2):83-244.

14. Meltzer HY, Cola PA, Parsa M. Marked elevations of serum creatine kinase activity associated with antipsychotic drug treatment. Neuropsychopharmacology. 1996;15(4):395-405. 

15. Devarajan S, Dursun SM. Antipsychotic drugs, serum creatine kinase (CPK) and possible mechanisms. Psychopharmacology (Berl). 2000;152(1):122.

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How do digital technologies affect young people’s mental health?

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Editor’s note: Readers’ Forum is a department for correspondence from readers that is not in response to articles published in Current Psychiatry. All submissions to Readers’ Forum undergo peer review and are subject to editing for length and style. For more information, contact letters@currentpsychiatry.com.



For almost all of us, “screen time”—time spent using a device with a screen such as a smartphone, computer, television, or video game console—has become a large part of our daily lives. This is very much the case for children and adolescents. In the United States, children ages 8 to 12 years spend an average of 4 to 6 hours each day watching or using screens, and teens spend up to 9 hours.1 Because young people are continually adopting newer forms of entertainment and technologies, new digital technologies are an ongoing source of concern for parents and clinicians alike.2 Studies have suggested that excessive screen time is associated with numerous psychiatric symptoms and disorders, including poor sleep, weight gain, anxiety, depression, and attention-deficit/hyperactive disorder.3,4 However, a recent systematic review and meta-analysis found that individuals’ self-reports of media use were rarely an accurate reflection of their actual, logged media use, and that measures of problematic media use had an even weaker association with usage logs.5 Therefore, it is crucial to have an accurate understanding of how children and adolescents are affected by new technologies. In this article, we discuss a recent study that investigated variations in adolescents’ mental health over time, and the association of their mental health and their use of digital technologies.

Results were mixed

Vuorre et al6 conducted a study to examine a possible shift in the associations between adolescents’ technology use and mental health outcomes. To investigate whether technology engagement and mental health outcomes changed over time, these researchers evaluated the impact not only of smartphones and social media, but also of television, which in the mid- to late-20th century elicited comparable levels of academic, public, and policy concern about its potential impact on child development. They analyzed data from 3 large-scale studies of adolescents living in the United States (Monitoring the Future and Youth Risk Behavior Surveillance System) and the United Kingdom (Understanding Society) that included a total of 430,561 participants.

The results were mixed across types of technology and mental health outcomes. Television and social media were found to have a direct correlation with conduct problems and emotional problems. Suicidal ideation and behavior were associated with digital device use; however, no correlation was found between depression and technology use. Regarding social media use, researchers found that its association with conduct problems remained stable, decreased with depression, and increased with emotional problems. The magnitudes of the observed changes over time were small. These researchers concluded there is “little evidence for increases in the associations between adolescents’ technology engagement and mental health [problems]” and “drawing firm conclusions about changes in ... associations with mental health may be premature.”6

Future directions

The study by Vuorre et al6 has opened the door to better analysis of the association between screen use and mental health outcomes. More robust, detailed studies are required to fully understand the varying impact of technologies on the lives of children and adolescents. Collaborative efforts by technology companies and researchers can help to determine the impact of technology on young people’s mental health.

References

1. American Academy of Child & Adolescent Psychiatry. Screen time and children. Updated February 2020. Accessed October 7, 2021. http://www.aacap.org/AACAP/Families_and_Youth/Facts_for_Families/FFF-Guide/Children-And-Watching-TV-054.aspx

2. Orben A. The Sisyphean cycle of technology panics. Perspect Psychol Sci. 2020;15(5):1143-1157.

3. Paulich KN, Ross JM, Lessem JM, et al. Screen time and early adolescent mental health, academic, and social outcomes in 9- and 10-year old children: utilizing the Adolescent Brain Cognitive Development (ABCD) Study. PLoS One. 2021;16(9):e0256591. doi: 10.1371/journal.pone.0256591

4. Twenge JM, Campbell WK. Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Prev Med Rep. 2018;12:271-283. doi: 10.1016/j.pmedr.2018.10.003

5. Parry DA, Davidson BI, Sewall CJR, et al. A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nat Hum Behav. 2021;5(11):1535-1547.

6. Vuorre M, Orben A, Przybylski AK. There is no evidence that associations between adolescents’ digital technology engagement and mental health problems have increased. Clin Psychol Sci. 2021;9(5):823-835.

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Dr. Gude is Research Volunteer, Jersey Shore University Medical Center, Neptune, New Jersey. Dr. Doumas is Chief, Child and Adolescent Psychiatry; Residency Program Director; and Vice Chair of Education and Research, Department of Psychiatry, Jersey Shore University Medical Center, Neptune, New Jersey; and Vice Chair, Department of Psychiatry, Hackensack Meridian School of Medicine, Nutley, New Jersey.

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Dr. Gude is Research Volunteer, Jersey Shore University Medical Center, Neptune, New Jersey. Dr. Doumas is Chief, Child and Adolescent Psychiatry; Residency Program Director; and Vice Chair of Education and Research, Department of Psychiatry, Jersey Shore University Medical Center, Neptune, New Jersey; and Vice Chair, Department of Psychiatry, Hackensack Meridian School of Medicine, Nutley, New Jersey.

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Dr. Gude is Research Volunteer, Jersey Shore University Medical Center, Neptune, New Jersey. Dr. Doumas is Chief, Child and Adolescent Psychiatry; Residency Program Director; and Vice Chair of Education and Research, Department of Psychiatry, Jersey Shore University Medical Center, Neptune, New Jersey; and Vice Chair, Department of Psychiatry, Hackensack Meridian School of Medicine, Nutley, New Jersey.

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Editor’s note: Readers’ Forum is a department for correspondence from readers that is not in response to articles published in Current Psychiatry. All submissions to Readers’ Forum undergo peer review and are subject to editing for length and style. For more information, contact letters@currentpsychiatry.com.



For almost all of us, “screen time”—time spent using a device with a screen such as a smartphone, computer, television, or video game console—has become a large part of our daily lives. This is very much the case for children and adolescents. In the United States, children ages 8 to 12 years spend an average of 4 to 6 hours each day watching or using screens, and teens spend up to 9 hours.1 Because young people are continually adopting newer forms of entertainment and technologies, new digital technologies are an ongoing source of concern for parents and clinicians alike.2 Studies have suggested that excessive screen time is associated with numerous psychiatric symptoms and disorders, including poor sleep, weight gain, anxiety, depression, and attention-deficit/hyperactive disorder.3,4 However, a recent systematic review and meta-analysis found that individuals’ self-reports of media use were rarely an accurate reflection of their actual, logged media use, and that measures of problematic media use had an even weaker association with usage logs.5 Therefore, it is crucial to have an accurate understanding of how children and adolescents are affected by new technologies. In this article, we discuss a recent study that investigated variations in adolescents’ mental health over time, and the association of their mental health and their use of digital technologies.

Results were mixed

Vuorre et al6 conducted a study to examine a possible shift in the associations between adolescents’ technology use and mental health outcomes. To investigate whether technology engagement and mental health outcomes changed over time, these researchers evaluated the impact not only of smartphones and social media, but also of television, which in the mid- to late-20th century elicited comparable levels of academic, public, and policy concern about its potential impact on child development. They analyzed data from 3 large-scale studies of adolescents living in the United States (Monitoring the Future and Youth Risk Behavior Surveillance System) and the United Kingdom (Understanding Society) that included a total of 430,561 participants.

The results were mixed across types of technology and mental health outcomes. Television and social media were found to have a direct correlation with conduct problems and emotional problems. Suicidal ideation and behavior were associated with digital device use; however, no correlation was found between depression and technology use. Regarding social media use, researchers found that its association with conduct problems remained stable, decreased with depression, and increased with emotional problems. The magnitudes of the observed changes over time were small. These researchers concluded there is “little evidence for increases in the associations between adolescents’ technology engagement and mental health [problems]” and “drawing firm conclusions about changes in ... associations with mental health may be premature.”6

Future directions

The study by Vuorre et al6 has opened the door to better analysis of the association between screen use and mental health outcomes. More robust, detailed studies are required to fully understand the varying impact of technologies on the lives of children and adolescents. Collaborative efforts by technology companies and researchers can help to determine the impact of technology on young people’s mental health.

 

Editor’s note: Readers’ Forum is a department for correspondence from readers that is not in response to articles published in Current Psychiatry. All submissions to Readers’ Forum undergo peer review and are subject to editing for length and style. For more information, contact letters@currentpsychiatry.com.



For almost all of us, “screen time”—time spent using a device with a screen such as a smartphone, computer, television, or video game console—has become a large part of our daily lives. This is very much the case for children and adolescents. In the United States, children ages 8 to 12 years spend an average of 4 to 6 hours each day watching or using screens, and teens spend up to 9 hours.1 Because young people are continually adopting newer forms of entertainment and technologies, new digital technologies are an ongoing source of concern for parents and clinicians alike.2 Studies have suggested that excessive screen time is associated with numerous psychiatric symptoms and disorders, including poor sleep, weight gain, anxiety, depression, and attention-deficit/hyperactive disorder.3,4 However, a recent systematic review and meta-analysis found that individuals’ self-reports of media use were rarely an accurate reflection of their actual, logged media use, and that measures of problematic media use had an even weaker association with usage logs.5 Therefore, it is crucial to have an accurate understanding of how children and adolescents are affected by new technologies. In this article, we discuss a recent study that investigated variations in adolescents’ mental health over time, and the association of their mental health and their use of digital technologies.

Results were mixed

Vuorre et al6 conducted a study to examine a possible shift in the associations between adolescents’ technology use and mental health outcomes. To investigate whether technology engagement and mental health outcomes changed over time, these researchers evaluated the impact not only of smartphones and social media, but also of television, which in the mid- to late-20th century elicited comparable levels of academic, public, and policy concern about its potential impact on child development. They analyzed data from 3 large-scale studies of adolescents living in the United States (Monitoring the Future and Youth Risk Behavior Surveillance System) and the United Kingdom (Understanding Society) that included a total of 430,561 participants.

The results were mixed across types of technology and mental health outcomes. Television and social media were found to have a direct correlation with conduct problems and emotional problems. Suicidal ideation and behavior were associated with digital device use; however, no correlation was found between depression and technology use. Regarding social media use, researchers found that its association with conduct problems remained stable, decreased with depression, and increased with emotional problems. The magnitudes of the observed changes over time were small. These researchers concluded there is “little evidence for increases in the associations between adolescents’ technology engagement and mental health [problems]” and “drawing firm conclusions about changes in ... associations with mental health may be premature.”6

Future directions

The study by Vuorre et al6 has opened the door to better analysis of the association between screen use and mental health outcomes. More robust, detailed studies are required to fully understand the varying impact of technologies on the lives of children and adolescents. Collaborative efforts by technology companies and researchers can help to determine the impact of technology on young people’s mental health.

References

1. American Academy of Child & Adolescent Psychiatry. Screen time and children. Updated February 2020. Accessed October 7, 2021. http://www.aacap.org/AACAP/Families_and_Youth/Facts_for_Families/FFF-Guide/Children-And-Watching-TV-054.aspx

2. Orben A. The Sisyphean cycle of technology panics. Perspect Psychol Sci. 2020;15(5):1143-1157.

3. Paulich KN, Ross JM, Lessem JM, et al. Screen time and early adolescent mental health, academic, and social outcomes in 9- and 10-year old children: utilizing the Adolescent Brain Cognitive Development (ABCD) Study. PLoS One. 2021;16(9):e0256591. doi: 10.1371/journal.pone.0256591

4. Twenge JM, Campbell WK. Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Prev Med Rep. 2018;12:271-283. doi: 10.1016/j.pmedr.2018.10.003

5. Parry DA, Davidson BI, Sewall CJR, et al. A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nat Hum Behav. 2021;5(11):1535-1547.

6. Vuorre M, Orben A, Przybylski AK. There is no evidence that associations between adolescents’ digital technology engagement and mental health problems have increased. Clin Psychol Sci. 2021;9(5):823-835.

References

1. American Academy of Child & Adolescent Psychiatry. Screen time and children. Updated February 2020. Accessed October 7, 2021. http://www.aacap.org/AACAP/Families_and_Youth/Facts_for_Families/FFF-Guide/Children-And-Watching-TV-054.aspx

2. Orben A. The Sisyphean cycle of technology panics. Perspect Psychol Sci. 2020;15(5):1143-1157.

3. Paulich KN, Ross JM, Lessem JM, et al. Screen time and early adolescent mental health, academic, and social outcomes in 9- and 10-year old children: utilizing the Adolescent Brain Cognitive Development (ABCD) Study. PLoS One. 2021;16(9):e0256591. doi: 10.1371/journal.pone.0256591

4. Twenge JM, Campbell WK. Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Prev Med Rep. 2018;12:271-283. doi: 10.1016/j.pmedr.2018.10.003

5. Parry DA, Davidson BI, Sewall CJR, et al. A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nat Hum Behav. 2021;5(11):1535-1547.

6. Vuorre M, Orben A, Przybylski AK. There is no evidence that associations between adolescents’ digital technology engagement and mental health problems have increased. Clin Psychol Sci. 2021;9(5):823-835.

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