Association of mental disorder in childhood and adolescence with subsequent educational achievement
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Importance: Onset of mental disorders during childhood or adolescence has been associated with underperformance in school and impairment in social and occupational life in adulthood, which has important implications for the affected individuals and society. Objective: To compare the educational achievements at the final examination of compulsory schooling in Denmark between individuals with and those without a mental disorder. Design, Setting, and Participants: This population-based cohort study was conducted in Denmark and obtained data from the Danish Civil Registration System and other nationwide registers. The 2 cohorts studied were (1) all children who were born in Denmark between January 1, 1988, and July 1, 1999, and were alive at age 17 years (n = 629 622) and (2) all children who took the final examination at the end of ninth grade in both Danish and mathematics subjects between January 1, 2002, and December 31, 2016 (n = 542 500). Data analysis was conducted from March 1, 2018, to March 1, 2019. Exposures: Clinical diagnosis by a psychiatrist of any mental disorder or 1 of 29 specific mental disorders before age 16 years. Main Outcomes and Measures: Taking the final examination at the end of ninth grade and mean examination grades standardized as z scores with differences measured in SDs (standardized mean grade difference). Results: Of the total study population (n = 629 622; 306 209 female and 323 413 male), 523 312 individuals (83%) took the final examination before 17 years of age and 38 001 (6%) had a mental disorder before that age. Among the 542 500 individuals (274 332 female and 268 168 male), the mean (SD) age was 16.1 (0.33) years for the females and 16.2 (0.34) years for the males. Among the 15 843 female and 22 158 male students with a mental disorder, a lower proportion took the final examination (0.52; 95% CI, 0.52-0.53) compared with individuals without a mental disorder (0.88; 95% CI, 0.88-0.88). Mental disorders affected the grades of male individuals (standardized mean grade difference, -0.30; 95% CI, -0.32 to -0.28) more than the grades of their female peers (standardized mean grade difference, -0.24; 95% CI, -0.25 to -0.22) when compared with same-sex individuals without mental disorders. Most specific mental disorders were associated with statistically significantly lower mean grades, with intellectual disability associated with the lowest grade in female and male students (standardized mean grade difference, -1.07 [95% CI, -1.23 to -0.91] and -1.03 [95% CI, -1.17 to -0.89]; P = .76 for sex differences in the mean grades). Female and male students with anorexia nervosa achieved statistically significantly higher grades on the final examination (standardized mean grade difference, 0.38 [95% CI, 0.32-0.44] and 0.31 [95% CI, 0.11-0.52]; P = .54 for sex differences in the mean grades) compared with their peers without this disorder. For those with anxiety, attachment, attention-deficit/hyperactivity, and other developmental disorders, female individuals attained relatively lower standardized mean grades compared with their male counterparts. Conclusions and Relevance: Results of this study suggest that, in Denmark, almost all mental disorders in childhood or adolescence may be associated with a lower likelihood of taking the final examination at the end of ninth grade; those with specific disorders tended to achieve lower mean grades on the examination; and female, compared with male, individuals with certain mental disorders appeared to have relatively more impairment. These findings appear to emphasize the need to provide educational support to young people with mental disorders.
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Poor mental health in adolescence increases the risk of poor educational attainment, non-participation in postsecondary education, unemployment, low income when working, and being a recipient of welfare payments.
“Poor mental health in adolescence increases the risk of poor educational attainment, 24 and non-participation in postsecondary education, unemployment, low income when working, and being a recipient of welfare payments.”
From The Lancet Psychiatry Commission on youth mental health (2024) · cites this paper as [24]
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References 72 · Cited by 171
Research works printed but not linked: 57
- Davies NM, Dickson M, Smith GD, van den Berg G, Windmeijer F. The causal effects of education on health outcomes in the UK Biobank. Nat Hum Behav. 2018;2(2):117-125. doi:10.1038/s41562-017-0279-y · DOI · Paper page
- Doubeni CA, Laiyemo AO, Major JM, et al. Socioeconomic status and the risk of colorectal cancer: an analysis of more than a half million adults in the National Institutes of Health-AARP Diet and Health Study. Cancer. 2012;118(14):3636-3644. doi: 10.1002/cncr.26677 · DOI
- Patterson ML, Moniruzzaman A, Frankish CJ, Somers JM. Missed opportunities: childhood learning disabilities as early indicators of risk among homeless adults with mental illness in Vancouver, British Columbia. BMJ Open. 2012;2(6):e001586. doi:10.1136/bmjopen-2012-001586 · DOI
- Osler M, Nybo Andersen AM, Nordentoft M. Impaired childhood development and suicidal behaviour in a cohort of Danish men born in 1953. J Epidemiol Community Health. 2008;62(1):23-28. doi:10.1136/jech.2006.053330 · DOI
- Kessler RC, Foster CL, Saunders WB, Stang PE. Social consequences of psychiatric disorders, I: educational attainment. Am J Psychiatry. 1995;152 (7):1026-1032. doi:10.1176/ajp.152.7.1026 · DOI · Paper page
- Fergusson DM, McLeod GF, Horwood LJ. Leaving school without qualifications and mental health problems to age 30. Soc Psychiatry Psychiatr Epidemiol. 2015;50(3):469-478. doi:10.1007/ s00127-014-0971-4 · DOI
- Corder K, Atkin AJ, Bamber DJ, et al. Revising on the run or studying on the sofa: prospective associations between physical activity, sedentary behaviour, and exam results in British adolescents. Int J Behav Nutr Phys Act. 2015;12:106. doi:10.1186/ s12966-015-0269-2 · DOI · Paper page
- van der Schans J, Vardar S, Çiçek R, et al. An explorative study of school performance and antipsychotic medication. BMC Psychiatry. 2016;16 (1):332. doi:10.1186/s12888-016-1041-0 · DOI
- Demontis D, Walters RK, Martin J, et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nat Genet. 2019;51(1):63-75. doi:10.1038/s41588-018-0269-7 · DOI · Paper page
- Anttila V, Bulik-Sullivan B, Finucane HK, et al; Brainstorm Consortium. Analysis of shared heritability in common disorders of the brain. Science. 2018;360 (6395):eaap8757. doi:10.1126/science.aap8757 · DOI · Paper page
- Westerlund H, Rajaleid K, Virtanen P, Gustafsson PE, Nummi T, Hammarström A. Parental academic involvement in adolescence as predictor of mental health trajectories over the life course: a prospective population-based cohort study. BMC Public Health. 2015;15:653. doi:10.1186/s12889-015-1977-x · DOI
- Sayal K, Washbrook E, Propper C. Childhood behavior problems and academic outcomes in adolescence: longitudinal population-based study. J Am Acad Child Adolesc Psychiatry. 2015;54(5): 360-8.e2. doi:10.1016/j.jaac.2015.02.007 · DOI
- Sijtsema JJ, Verboom CE, Penninx BW, Verhulst FC, Ormel J. Psychopathology and academic performance, social well-being, and social preference at school: the TRAILS study. Child Psychiatry Hum Dev. 2014;45(3):273-284. doi:10. 1007/s10578-013-0399-1 · DOI
- Galéra C, Melchior M, Chastang JF, Bouvard MP, Fombonne E. Childhood and adolescent hyperactivity-inattention symptoms and academic achievement 8 years later: the GAZEL Youth study. Psychol Med. 2009;39(11):1895-1906. doi:10.1017/ S0033291709005510 · DOI
- Riglin L, Frederickson N, Shelton KH, Rice F. A longitudinal study of psychological functioning and academic attainment at the transition to secondary school. J Adolesc. 2013;36(3):507-517. doi:10.1016/j.adolescence.2013.03.002 · DOI · Paper page
- Maurizi LK, Grogan-Kaylor A, Granillo MT, Delva J. The role of social relationships in the association between adolescents' depressive symptoms and academic achievement. Child Youth Serv Rev. 2013; 35(4):618-625. doi:10.1016/j.childyouth.2013.01.006 · DOI
- Yang F, Chen X, Wang L. Relations between aggression and adjustment in chinese children: moderating effects of academic achievement. J Clin Child Adolesc Psychol. 2014;43(4):656-669. doi:10. 1080/15374416.2013.782816 · DOI
- Keen D, Webster A, Ridley G. How well are children with autism spectrum disorder doing academically at school? An overview of the literature. Autism. 2016;20(3):276-294. doi:10.1177/ 1362361315580962 · DOI
- Tosto MG, Momi SK, Asherson P, Malki K. A systematic review of attention deficit hyperactivity disorder (ADHD) and mathematical ability: current findings and future implications. BMC Med. 2015;13 (1):204. doi:10.1186/s12916-015-0414-4 · DOI
- Currie J, Stabile M. Child mental health and human capital accumulation: the case of ADHD. J Health Econ. 2006;25(6):1094-1118. doi:10.1016/j. jhealeco.2006.03.001 · DOI
- Babinski DE, Pelham WE Jr, Molina BS, et al. Late adolescent and young adult outcomes of girls diagnosed with ADHD in childhood: an exploratory investigation. J Atten Disord. 2011;15(3):204-214. doi:10.1177/1087054710361586 · DOI
- Pajer K, Chung J, Leininger L, Wang W, Gardner W, Yeates K. Neuropsychological function in adolescent girls with conduct disorder. J Am Acad Child Adolesc Psychiatry. 2008;47(4):416-425. doi: 10.1097/CHI.0b013e3181640828 · DOI
- Hooper SR, Woolley D, De Bellis MD. Intellectual, neurocognitive, and academic achievement in abstinent adolescents with cannabis use disorder. Psychopharmacology (Berl). 2014;231(8):1467-1477. doi:10.1007/s00213-014-3463-z · DOI
- Wei MH. The social adjustment, academic performance, and creativity of Taiwanese children with Tourette's syndrome. Psychol Rep. 2011;108(3): 791-798. doi:10.2466/04.07.10.PR0.108.3.791-798 · DOI
- Hakulinen C, McGrath JJ, Timmerman A, et al. The association between early-onset schizophrenia with employment, income, education, and cohabitation status: nationwide study with 35 years of follow-up. Soc Psychiatry Psychiatr Epidemiol. 2019;54(11):1343-1351. doi:10.1007/s00127-019- 01756-0 · DOI
- Arango C, Fraguas D, Parellada M. Differential neurodevelopmental trajectories in patients with early-onset bipolar and schizophrenia disorders. Schizophr Bull. 2014;40(suppl 2):S138-S146. doi:10. 1093/schbul/sbt198 · DOI · Paper page
- Thomsen PH. Obsessive-compulsive disorder in children and adolescents. A 6-22 year follow-up study of social outcome. Eur Child Adolesc Psychiatry. 1995;4(2):112-122. doi:10.1007/BF01977739 · DOI
- Ding W, Lehrer SF, Rosenquist JN, Audrain-McGovern J. The impact of poor health on academic performance: new evidence using genetic markers. J Health Econ. 2009;28(3):578-597. doi: 10.1016/j.jhealeco.2008.11.006 · DOI
- Pedersen CB, Gøtzsche H, Møller JØ, Mortensen PB. The Danish Civil Registration System: a cohort of eight million persons. Dan Med Bull. 2006;53(4):441-449.
- Mors O, Perto GP, Mortensen PB. The Danish Psychiatric Central Research Register. Scand J Public Health. 2011;39(7)(suppl):54-57. doi:10.1177/ 1403494810395825 · DOI · Paper page
- Jensen VM, Rasmussen AW. Danish education registers. Scand J Public Health. 2011;39(7)(suppl): 91-94. doi:10.1177/1403494810394715 · DOI
- Cantor-Graae E, Pedersen CB. Full spectrum of psychiatric disorders related to foreign migration: a Danish population-based cohort study. JAMA Psychiatry. 2013;70(4):427-435. doi:10.1001/ jamapsychiatry.2013.441 · DOI
- McGrath JJ, Wray NR, Pedersen CB, Mortensen PB, Greve AN, Petersen L. The association between family history of mental disorders and general cognitive ability. Transl Psychiatry. 2014;4(7):e412. doi:10.1038/tp.2014.60 · DOI
- Soreni N, Streiner D, McCabe R, et al. Dimensions of perfectionism in children and adolescents with obsessive-compulsive disorder. J Can Acad Child Adolesc Psychiatry. 2014;23(2):136-143.
- Yanover T, Thompson JK. Eating problems, body image disturbances, and academic achievement: preliminary evaluation of the eating and body image disturbances academic interference scale. Int J Eat Disord. 2008;41(2):184- 187. doi:10.1002/eat.20483 · DOI
- Verweij KJ, Huizink AC, Agrawal A, Martin NG, Lynskey MT. Is the relationship between early-onset cannabis use and educational attainment causal or due to common liability? Drug Alcohol Depend. 2013;133(2):580-586. doi:10.1016/j.drugalcdep. 2013.07.034 · DOI
- Wray NR, Ripke S, Mattheisen M, et al; eQTLGen; 23andMe; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat Genet. 2018; 50(5):668-681. doi:10.1038/s41588-018-0090-3 · DOI · Paper page
- Hagenaars SP, Harris SE, Davies G, et al; METASTROKE Consortium, International Consortium for Blood Pressure GWAS; SpiroMeta Consortium; CHARGE Consortium Pulmonary Group, CHARGE Consortium Aging and Longevity Group. Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia. Mol Psychiatry. 2016;21(11): 1624-1632. doi:10.1038/mp.2015.225 · DOI · Paper page
- Watson HJ, Yilmaz Z, Thornton LM, et al; Anorexia Nervosa Genetics Initiative; Eating Disorders Working Group of the Psychiatric Genomics Consortium. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nat Genet. 2019;51(8):1207-1214. doi:10.1038/ s41588-019-0439-2 · DOI · Paper page
- Sørensen HJ, Debost JC, Agerbo E, et al. Polygenic risk scores, school achievement, and risk for schizophrenia: a Danish population-based study. Biol Psychiatry. 2018;84(9):684-691. doi:10.1016/j. biopsych.2018.04.012 · DOI
- Okbay A, Beauchamp JP, Fontana MA, et al; LifeLines Cohort Study. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-542. doi: 10.1038/nature17671 · DOI · Paper page
- Wang L, Wang Y, Xu Q, et al. Heritability of reflexive social attention triggered by eye gaze and walking direction: common and unique genetic underpinnings. Psychol Med. Published online March 4, 2019. doi:10.1017/S003329171900031X · DOI
- Sellers R, Maughan B, Pickles A, Thapar A, Collishaw S. Trends in parent-and teacher-rated emotional, conduct and ADHD problems and their impact in prepubertal children in Great Britain: 1999-2008. J Child Psychol Psychiatry. 2015;56(1): 49-57. doi:10.1111/jcpp.12273 · DOI
- Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G. Indicators of socioeconomic position (part 1). J Epidemiol Community Health. 2006;60(1):7-12. doi:10.1136/jech.2004.023531 · DOI
- Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G. Indicators of socioeconomic position (part 2). J Epidemiol Community Health. 2006;60(2):95-101. doi:10.1136/jech.2004.028092 · DOI
- Bonaccio M, Di Castelnuovo A, Costanzo S, et al. Interaction between education and income on the risk of all-cause mortality: prospective results from the MOLI-SANI study. Int J Public Health. 2016; 61(7):765-776. doi:10.1007/s00038-016-0822-z · DOI
- Lawrence D, Dawson V, Houghton S, Goodsell B, Sawyer MG. Impact of mental disorders on attendance at school. Aust J Educ. 2019;63(1):5-21. doi:10.1177/0004944118823576 · DOI
- Rubie-Davies C, Hattie J, Hamilton R. Expecting the best for students: teacher expectations and academic outcomes. Br J Educ Psychol. 2006;76(pt 3):429-444. doi:10.1348/000709905X53589 · DOI
- Banerjee PA. A systematic review of factors linked to poor academic performance of disadvantaged students in science and maths in schools. Cogent Education. 2016;3(1):1-3. doi:10. 1080/2331186X.2016.1178441 · DOI
- Franklin C, Kim JS, Tripodi SJ. A meta-analysis of published school social work practice studies: 1980-2007. Res Soc Work Pract. 2009;19(6):667- 677. doi:10.1177/1049731508330224 · DOI · Paper page
- Needham BL, Crosnoe R, Muller C. Academic failure in secondary school: the inter-related role of health problems and educational context. Soc Probl. 2004;51(4):569-586. doi:10.1525/sp.2004.51.4.569 · DOI
- Linnet KM, Wisborg K, Secher NJ, et al. Coffee consumption during pregnancy and the risk of hyperkinetic disorder and ADHD: a prospective cohort study. Acta Paediatr. 2009;98(1):173-179. doi:10.1111/j.1651-2227.2008.00980.x · DOI · Paper page
- Dalsgaard S, Hansen N, Mortensen PB, Damm D, Thomsen PH. Reassessment of ADHD in a historical cohort of children treated with stimulants in the period 1969-1989. Eur Child Adolesc Psychiatry. 2001;10(4):230-239. doi:10.1007/s007870170012 · DOI · Paper page
- Mohr-Jensen C, Vinkel Koch S, Briciet Lauritsen M, Steinhausen HC. The validity and reliability of the diagnosis of hyperkinetic disorders in the Danish Psychiatric Central Research Registry. Eur Psychiatry. 2016;35:16-24. doi:10.1016/j.eurpsy. 2016.01.2427 · DOI
- Uggerby P, Østergaard SD, Røge R, Correll CU, Nielsen J. The validity of the schizophrenia diagnosis in the Danish Psychiatric Central Research Register is good. Dan Med J. 2013;60(2):A4578.
- Jakobsen KD, Frederiksen JN, Hansen T, Jansson LB, Parnas J, Werge T. Reliability of clinical ICD-10 schizophrenia diagnoses. Nord J Psychiatry. 2005;59(3):209-212. doi:10.1080/ 08039480510027698 · DOI
- Madsen KB, Ravn MH, Arnfred J, Olsen J, Rask CU, Obel C. Characteristics of undiagnosed children with parent-reported ADHD behaviour. Eur Child Adolesc Psychiatry. 2018;27(2):149-158. doi:10. 1007/s00787-017-1029-4 · DOI
- Authors
- Dalsgaard, S., McGrath, J., Østergaard, S. D., Wray, N. R., Pedersen, C. B., Mortensen, P. B., & Petersen, L.
- Affiliations
- Aarhus University (DK)
- The University of Queensland (AU)
- Corresponding author
- Dalsgaard, Søren
- ORCID
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2020-08-01
- Volume
- 77
- Issue
- 8
- Pages
- 797
- ISSN
- 2168-622X (ISSN-L)
- PMC
- PMC7097843
- OpenAlex
- W3013219780
- Cited by
- 171
- References
- 72
- Citations by year
- 2026: 37 · 2025: 35 · 2024: 18 · 2023: 34 · 2022: 18 · 2021: 22 · 2020: 7
- FWCI
- 8.11
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Psychiatry (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- European Commission (667302)
- Lundbeckfonden (R155-2014-1724, R248‐2017‐2003, R276-2017-4581)
- Helsefonden
- Novo Nordisk Fonden (NNF 16OC0022018)
- National Institutes of Health
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Keywords
- child psychopathology, adolescent mental disorders, academic performance, compulsory education, prevalence of mental disorders, gender differences, socioeconomic status, parental education, parental income, parental mental illness, Denmark, school dropout, mental health service utilization, psychiatric hospitalization, outpatient psychiatric care, psychiatric inpatient care
- MeSH terms
- Academic Success, Adolescent, Mental Disorders, Child, Denmark, Educational Status, Female, Humans, Male, Registries, Cohort Studies
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