Recent increases in depressive symptoms among US adolescents: trends from 1991 to 2018

BackgroundMental health problems and mental health related mortality have increased among adolescents, particularly girls. These trends have implications for etiology and prevention and suggest new and emerging risk factors in need of attention. The present study estimated age, period, and cohort effects in depressive symptoms among US nationally representative samples of school attending adolescents from 1991 to 2018.MethodsData are drawn from 1991 to 2018 Monitoring the Future yearly cross-sectional surveys of 8th, 10th, and 12th grade students (N = 1,260,159). Depressive symptoms measured with four questions that had consistent wording and data collection procedures across all 28 years. Age–period–cohort effects estimated using the hierarchical age–period–cohort models.ResultsAmong girls, depressive symptoms decreased from 1991 to 2011, then reversed course, peaking in 2018; these increases reflected primarily period effects, which compared to the mean of all periods showed a gradual increase starting in 2012 and peaked in 2018 (estimate = 1.15, p < 0.01). Cohort effects were minimal, indicating that increases are observed across all age groups. Among boys, trends were similar although the extent of the increase is less marked compared to girls; there was a declining cohort effect among recently born cohorts, suggesting that increases in depressive symptoms among boys are slower for younger boys compared to older boys in recent years. Trends were generally similar by race/ethnicity and parental education, with a positive cohort effect for Hispanic girls born 1999–2004.ConclusionsDepressive symptoms are increasing among teens, especially among girls, consistent with increases in depression and suicide. Population variation in psychiatric disorder symptoms highlight the importance of current environmental determinants of psychiatric disorder risk, and provide evidence of emerging risk factors that may be shaping a new and concerning trend in adolescent mental health.

[1]  M. Olfson,et al.  National patterns in antidepressant medication treatment. , 2009, Archives of general psychiatry.

[2]  K. Merikangas,et al.  Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication--Adolescent Supplement (NCS-A). , 2010, Journal of the American Academy of Child and Adolescent Psychiatry.

[3]  M. Olfson,et al.  National Trends in the Prevalence and Treatment of Depression in Adolescents and Young Adults , 2016, Pediatrics.

[4]  P. O'Malley,et al.  Depressive symptoms, conduct problems, and risk for polysubstance use among adolescents: Results from US national surveys. , 2014, Mental health and substance use : dual diagnosis.

[5]  Brian A Primack,et al.  Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study. , 2017, Social science & medicine.

[6]  K. Land,et al.  Mixed Effects Models: Hierarchical APC- Cross- Classified Random Effects Models (HAPC-CCREM), Part II: Advanced Analyses , 2016 .

[7]  G. Elder Children of the Great Depression: Social Change in Life Experience , 1999 .

[8]  N. Laird,et al.  Incidence of depression in the Stirling County Study: historical and comparative perspectives , 2000, Psychological Medicine.

[9]  Justin W. Patchin,et al.  Digital Self-Harm Among Adolescents. , 2017, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[10]  L. Radloff The CES-D Scale , 1977 .

[11]  J. Schulenberg,et al.  Mental Health During Emerging Adulthood: Continuity and Discontinuity in Courses, Causes, and Functions. , 2006 .

[12]  M. Patrick,et al.  Adolescent adaptation before, during and in the aftermath of the Great Recession in the USA , 2017, International journal of psychology : Journal international de psychologie.

[13]  W. J. Jacobs,et al.  Consilience and Life History Theory: From Genes to Brain to Reproductive Strategy. , 2006 .

[14]  Age-cohort changes in the lifetime occurrence of depression and other mental disorders. , 1993 .

[15]  N. Laird,et al.  A 40-year perspective on the prevalence of depression: the Stirling County Study. , 2000, Archives of general psychiatry.

[16]  T. Joiner,et al.  Increases in Depressive Symptoms, Suicide-Related Outcomes, and Suicide Rates Among U.S. Adolescents After 2010 and Links to Increased New Media Screen Time , 2018 .

[17]  Yang Yang,et al.  Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications , 2013 .

[18]  C. Bottino,et al.  Cyberbullying and adolescent mental health: systematic review , 2015 .

[19]  Guohua Li,et al.  What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971-2006. , 2010, Social science & medicine.

[20]  Patrick M. O'Malley,et al.  Monitoring the Future National Results on Adolescent Drug Use: Overview of Key Findings, 2004. , 2003 .

[21]  C. R. Cloninger,et al.  Healthy personality development and well‐being , 2012, World psychiatry : official journal of the World Psychiatric Association.

[22]  M. Stein,et al.  Age, period, and cohort effects in psychological distress in the United States and Canada. , 2014, American Journal of Epidemiology.

[23]  W. Eaton,et al.  Prevalence and incidence of depressive disorder: the Baltimore ECA follow‐up, 1981–2004 , 2007, Acta psychiatrica Scandinavica.

[24]  E. Messias,et al.  School bullying, cyberbullying, or both: correlates of teen suicidality in the 2011 CDC Youth Risk Behavior Survey. , 2014, Comprehensive psychiatry.

[25]  D. Cantwell,et al.  Manifestations of depressive affect in adolescence , 1991, Journal of youth and adolescence.

[26]  Vladas Griskevicius,et al.  INTERPERSONAL RELATIONS AND GROUP PROCESSES Sense of Control Under Uncertainty Depends on People ’ s Childhood Environment : A Life History Theory Approach , 2014 .

[27]  Karen Ritchie,et al.  Sleep and depression. , 2005, The Journal of clinical psychiatry.

[28]  B. Grant,et al.  Epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcoholism and Related Conditions. , 2005, Archives of general psychiatry.

[29]  G. Salum,et al.  Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. , 2015, Journal of child psychology and psychiatry, and allied disciplines.

[30]  S. Martins,et al.  Prescription opioid use disorder and heroin use among 12-34 year-olds in the United States from 2002 to 2014. , 2017, Addictive behaviors.

[31]  Jarvis T. Chen,et al.  Age at menarche: 50-year socioeconomic trends among US-born black and white women. , 2015, American journal of public health.

[32]  S. Patten,et al.  Is Mental Health in the Canadian Population Changing over Time? , 2012, Canadian journal of psychiatry. Revue canadienne de psychiatrie.

[33]  Brett Holfeld,et al.  Associations Between Internet Attachment, Cyber Victimization, and Internalizing Symptoms Among Adolescents , 2017, Cyberpsychology Behav. Soc. Netw..

[34]  R. Zucker,et al.  Influence of conduct problems and depressive symptomatology on adolescent substance use: developmentally proximal versus distal effects. , 2014, Developmental psychology.

[35]  P. O'Malley,et al.  National multi-cohort time trends in adolescent risk preference and the relation with substance use and problem behavior from 1976 to 2011. , 2015, Drug and alcohol dependence.

[36]  Katherine M. Keyes,et al.  The Great Sleep Recession: Changes in Sleep Duration Among US Adolescents, 1991–2012 , 2015, Pediatrics.

[37]  L. Johnston,et al.  Monitoring the Future national survey results on drug use, 1975-2017: Volume I, secondary school students , 2005 .

[38]  Alaattin Erkanli,et al.  Is there an epidemic of child or adolescent depression? , 2006, Journal of child psychology and psychiatry, and allied disciplines.

[39]  Jason B. Colditz,et al.  The association between social media use and sleep disturbance among young adults. , 2016, Preventive medicine.

[40]  P. Shrout,et al.  Nonspecific psychological distress and other dimensions of psychopathology. Measures for use in the general population. , 1980, Archives of general psychiatry.

[41]  C. Bottino,et al.  Cyberbullying e saúde mental dos adolescentes: revisão sistemática , 2015 .

[42]  Mark Olfson,et al.  Trends in mental health care among children and adolescents. , 2015, The New England journal of medicine.

[43]  L. O'donnell,et al.  Trends in Cyberbullying and School Bullying Victimization in a Regional Census of High School Students, 2006-2012. , 2015, The Journal of school health.

[44]  M. Olfson,et al.  National trends in the treatment for depression from 1998 to 2007. , 2010, Archives of general psychiatry.

[45]  S. Hymel,et al.  Cyber Bullying and Internalizing Difficulties: Above and Beyond the Impact of Traditional Forms of Bullying , 2013, Journal of Youth and Adolescence.

[46]  S. Bauman,et al.  Associations among bullying, cyberbullying, and suicide in high school students. , 2013, Journal of adolescence.

[47]  Melissa K Holt,et al.  Bullying and Suicidal Ideation and Behaviors: A Meta-Analysis , 2015, Pediatrics.

[48]  G. Klerman,et al.  Birth-cohort trends in rates of major depressive disorder among relatives of patients with affective disorder. , 1985, Archives of general psychiatry.

[49]  Harold Alan Pincus,et al.  National trends in the outpatient treatment of depression. , 2002, JAMA.

[50]  J. Twenge,et al.  The Decline in Adult Activities Among U.S. Adolescents, 1976-2016. , 2019, Child development.

[51]  Samantha R Rosenthal,et al.  Negative Experiences on Facebook and Depressive Symptoms Among Young Adults. , 2016, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[52]  Olga V. Demler,et al.  The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). , 2003, JAMA.

[53]  R. Utz,et al.  Birth cohort effects on abdominal obesity in the United States: the Silent Generation, Baby Boomers, and Generation X , 2012, International Journal of Obesity.

[54]  L. Johnston,et al.  The Monitoring the Future Project after Four Decades: Design and Procedures. Monitoring the Future Occasional Paper Series. Paper 82. , 2015 .

[55]  Andrew K. Przybylski,et al.  A Large-Scale Test of the Goldilocks Hypothesis , 2017, Psychological science.

[56]  C. Odgers Smartphones are bad for some teens, not all. , 2018 .

[57]  C. Odgers Smartphones are bad for some teens, not all , 2018, Nature.

[58]  A. Angold Childhood and Adolescent Depression , 1988, British Journal of Psychiatry.

[59]  M M Weissman,et al.  Increasing rates of depression. , 1989, JAMA.

[60]  Justin Jager,et al.  Adolescent risk factors for adult alcohol use and abuse: stability and change of predictive value across early and middle adulthood. , 2008, Addiction.

[61]  Ken R. Smith,et al.  Clarifying hierarchical age-period-cohort models: A rejoinder to Bell and Jones. , 2015, Social science & medicine.