Hostname: page-component-8448b6f56d-sxzjt Total loading time: 0 Render date: 2024-04-18T15:26:43.110Z Has data issue: false hasContentIssue false

Mental health in Dutch adolescents: a TRAILS report on prevalence, severity, age of onset, continuity and co-morbidity of DSM disorders

Published online by Cambridge University Press:  20 June 2014

J. Ormel*
Affiliation:
University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
D. Raven
Affiliation:
University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
F. van Oort
Affiliation:
Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center, Rotterdam, The Netherlands
C. A. Hartman
Affiliation:
University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
S. A. Reijneveld
Affiliation:
Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
R. Veenstra
Affiliation:
Department of Sociology, University of Groningen, Groningen, The Netherlands
W. A. M. Vollebergh
Affiliation:
Department of Youth and Family, University of Utrecht, Utrecht, The Netherlands
J. Buitelaar
Affiliation:
Department of Psychiatry, Radboud University Nijmegen, Nijmegen, The Netherlands
F. C. Verhulst
Affiliation:
Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center, Rotterdam, The Netherlands
A. J. Oldehinkel
Affiliation:
University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
*
*Address for correspondence: J. Ormel, Ph.D., University Medical Center Groningen, CC 72, PO Box 30.001, 9700 RB Groningen, The Netherlands. (Email: j.ormel@umcg.nl)

Abstract

Background

With psychopathology rising during adolescence and evidence suggesting that adult mental health burden is often due to disorders beginning in youth, it is important to investigate the epidemiology of adolescent mental disorders.

Method

We analysed data gathered at ages 11 (baseline) and 19 years from the population-based Dutch TRacking Adolescents' Individual Lives Survey (TRAILS) study. At baseline we administered the Achenbach measures (Child Behavior Checklist, Youth Self-Report) and at age 19 years the World Health Organization's Composite International Diagnostic Interview version 3.0 (CIDI 3.0) to 1584 youths.

Results

Lifetime, 12-month and 30-day prevalences of any CIDI-DSM-IV disorder were 45, 31 and 15%, respectively. Half were severe. Anxiety disorders were the most common but the least severe whereas mood and behaviour disorders were less prevalent but more severe. Disorders persisted, mostly by recurrence in mood disorders and chronicity in anxiety disorders. Median onset age varied substantially across disorders. Having one disorder increased subjects' risk of developing another disorder. We found substantial homotypic and heterotypic continuity. Baseline problems predicted the development of diagnosable disorders in adolescence. Non-intact families and low maternal education predicted externalizing disorders. Most morbidity concentrated in 5–10% of the sample, experiencing 34–55% of all severe lifetime disorders.

Conclusions

At late adolescence, 22% of youths have experienced a severe episode and 23% only mild episodes. This psychopathology is rather persistent, mostly due to recurrence, showing both monotypic and heterotypic continuity, with family context affecting particularly externalizing disorders. High problem levels at age 11 years are modest precursors of incident adolescent disorders. The burden of mental illness concentrates in 5–10% of the adolescent population.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Achenbach, TM, Dumenci, L, Rescorla, LA (2003). DSM-oriented and empirically based approaches to constructing scales from the same item pools. Journal of Clinical Child and Adolescent Psychology 32, 328340.CrossRefGoogle ScholarPubMed
Achenbach, TM, Rescorla, LA (2006). The Achenbach System of Empirically Based Assessment. In Forensic Uses of Clinical Assessment Instruments (ed. Archer, R. P.), pp. 229262. Lawrence Erlbaum Associates Publishers: Mahwah, NJ.Google Scholar
Alonso, J, Angermeyer, MC, Bernert, S, Bruffaerts, R, Brugha, TS, Bryson, H, de Girolamo, G, de Graaf, R, Demyttenaere, K, Gasquet, I, Haro, JM, Katz, SJ, Kessler, RC, Kovess, V, Lépine, JP, Ormel, J, Polidori, G, Russo, LJ, Vilagut, G, Almansa, J, Arbabzadeh-Bouchez, S, Autonell, J, Bernal, M, Buist-Bouwman, M, Codony, M, Domingo-Salvany, A, Ferrer, M, Joo, SS, Martínez-Alonso, M, Matschinger, H, Mazzi, F, Morgan, Z, Morosini, P, Palacín, C, Romera, B, Taub, N, Vollebergh, WAM (2004). Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Psychiatrica Scandinavica 109, 2127.CrossRefGoogle Scholar
Andrews, G, Henderson, S, Hall, W (2001). Prevalence, comorbidity, disability and service utilisation. Overview of the Australian National Mental Health Survey. British Journal of Psychiatry 178, 145153.Google Scholar
Angold, A, Costello, EJ, Erkanli, A (1999). Comorbidity. Journal of Child Psychology and Psychiatry 40, 5787.CrossRefGoogle ScholarPubMed
Angold, A, Costello, EJ, Worthman, CM (1998). Puberty and depression: the roles of age, pubertal status and pubertal timing. Psychological Medicine 28, 5161.Google Scholar
APA (1995). Diagnostic and Statistical Manual of Mental Disorders, 4th edn, Primary Care Version. American Psychiatric Association: Washington, DC.Google Scholar
Bijl, RV, Ravelli, A (2000). Current and residual functional disability associated with psychopathology: findings from the Netherlands Mental Health Survey and Incidence Study (NEMESIS). Psychological Medicine 30, 657668.CrossRefGoogle ScholarPubMed
Bijl, RV, Ravelli, A, van Zessen, G (1998). Prevalence of psychiatric disorder in the general population: results of The Netherlands Mental Health Survey and Incidence Study (NEMESIS). Social Psychiatry and Psychiatric Epidemiology 33, 587595.Google Scholar
Brugha, TS, Jenkins, R, Taub, N, Meltzer, H, Bebbington, PE (2001). A general population comparison of the Composite International Diagnostic Interview (CIDI) and the Schedules for Clinical Assessment in Neuropsychiatry (SCAN). Psychological Medicine 31, 10011013.Google Scholar
Caspi, A, Houts, R, Belsky, DW, Goldman-Mellor, S, Harrington, HL, Israel, S, Meier, MH, Ramrakha, S, Shalev, I, Poulton, R, Moffit, TE (2013). The p factor: one general psychopathology factor in the structure of psychiatric disorders. Clinical Psychological Science. Published online 14 August 2013 . doi:10.1177/2167702613497473.Google Scholar
Copeland, W, Shanahan, L, Costello, EJ, Angold, A (2011). Cumulative prevalence of psychiatric disorders by young adulthood: a prospective cohort analysis from the Great Smoky Mountains study. Journal of the American Academy of Child and Adolescent Psychiatry 50, 252261.CrossRefGoogle ScholarPubMed
Copeland, WE, Shanahan, L, Costello, EJ, Angold, A (2009). Childhood and adolescent psychiatric disorders as predictors of young adult disorders. Archives of General Psychiatry 66, 764772.Google Scholar
Costello, EJ, Angold, A, Burns, BJ, Stangl, DK, Tweed, DL, Erkanli, A, Worthman, CM (1996). The Great Smoky Mountains Study of Youth. Goals, design, methods, and the prevalence of DSM-III-R disorders. Archives of General Psychiatry 53, 11291136.Google Scholar
Costello, EJ, Angold, A, Keeler, GP (1999). Adolescent outcomes of childhood disorders: the consequences of severity and impairment. Journal of the American Academy of Child and Adolescent Psychiatry 38, 121128.Google Scholar
Costello, EJ, Egger, HL, Angold, A (2005 a). The developmental epidemiology of anxiety disorders: phenomenology, prevalence, and comorbidity. Child and Adolescent Psychiatric Clinics of North America 14, 631648.Google Scholar
Costello, EJ, Egger, H, Angold, A (2005 b). 10-Year research update review: the epidemiology of child and adolescent psychiatric disorders: I. Methods and public health burden. Journal of the American Academy of Child and Adolescent Psychiatry 44, 972986.Google Scholar
de Graaf, R, Ten Have, M, van Gool, C, van Dorsselaer, S (2012). Prevalence of mental disorders, and trends from 1996 to 2009. Results from NEMESIS-2. Tijdschrift voor Psychiatrie 54, 2738.Google Scholar
de Winter, AF, Oldehinkel, AJ, Veenstra, R, Brunnekreef, JA, Verhulst, FC, Ormel, J (2005). Evaluation of non-response bias in mental health determinants and outcomes in a large sample of pre-adolescents. European Journal of Epidemiology 20, 173181.Google Scholar
Eaton, WW, Kessler, RC, Wittchen, HU, Magee, WJ (1994). Panic and panic disorder in the United States. American Journal of Psychiatry 151, 413420.Google Scholar
Edelbrock, C, Costello, AJ, Dulcan, MK, Kalas, R, Conover, NC (1985). Age differences in the reliability of the psychiatric interview of the child. Child Development 56, 265275.Google Scholar
Eder, W, Ege, MJ, von Mutius, E (2006). The asthma epidemic. New England Journal of Medicine 355, 22262235.Google Scholar
Ferdinand, RF, Verhulst, FC, Wiznitzer, M (1995). Continuity and change of self-reported problem behaviors from adolescence into young adulthood. Journal of the American Academy of Child and Adolescent Psychiatry 34, 680690.Google Scholar
Fergusson, DM, Horwood, LJ (2001). The Christchurch Health and Development Study: review of findings on child and adolescent mental health. Australian and New Zealand Journal of Psychiatry 35, 287296.Google Scholar
Ford, T, Goodman, R, Meltzer, H (2003). The British Child and Adolescent Mental Health Survey 1999: the prevalence of DSM-IV disorders. Journal of the American Academy of Child and Adolescent Psychiatry 42, 12031211.CrossRefGoogle ScholarPubMed
Haro, JM, Arbabzadeh-Bouchez, S, Brugha, TS, de Girolamo, G, Guyer, ME, Jin, R, Lepine, JP, Mazzi, F, Reneses, B, Vilagut, G, Sampson, NA, Kessler, RC (2006). Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health surveys. International Journal of Methods in Psychiatric Research 15, 167180.CrossRefGoogle ScholarPubMed
Hossain, P, Kawar, B, El Nahas, M (2007). Obesity and diabetes in the developing world – a growing challenge. New England Journal of Medicine 356, 213215.CrossRefGoogle ScholarPubMed
Huisman, M, Oldehinkel, AJ, Winter, AD, Minderaa, RB, Bildt, AD, Huizink, AC, Verhulst, FC, Ormel, J (2008). Cohort profile: The Dutch ‘TRacking Adolescents’ Individual Lives’ Survey’; TRAILS. International Journal of Epidemiology 37, 12271235.Google Scholar
Jacobi, F, Wittchen, H-, Hölting, C, Höfler, M, Pfister, H, Müller, N, Lieb, R (2004). Prevalence, co-morbidity and correlates of mental disorders in the general population: results from the German Health Interview and Examination Survey (GHS). Psychological Medicine 34, 597611.Google Scholar
Jenkins, R, Lewis, G, Bebbington, P, Brugha, T, Farrell, M, Gill, B, Meltzer, H (1997). The National Psychiatric Morbidity Surveys of Great Britain: initial findings from the Household Survey. Psychological Medicine 27, 775789.CrossRefGoogle ScholarPubMed
Kessler, RC, Abelson, J, Demler, O, Escobar, JI, Gibbon, M, Guyer, ME, Howes, MJ, Jin, R, Vega, WA, Walters, EE, Wang, P, Zaslavsky, A, Zheng, H (2004). Clinical calibration of DSM-IV diagnoses in the World Mental Health (WMH) version of the World Health Organization (WHO) Composite International Diagnostic Interview (WMH-CIDI). International Journal of Methods in Psychiatric Research 13, 122139.Google Scholar
Kessler, RC, Avenevoli, S, Costello, EJ, Georgiades, K, Green, JG, Gruber, MJ, He, JP, Koretz, D, McLaughlin, KA, Petukhova, M, Sampson, NA, Zaslavsky, AM, Merikangas, KR (2012 a). Prevalence, persistence, and sociodemographic correlates of DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Archives of General Psychiatry 69, 372380.Google Scholar
Kessler, RC, Avenevoli, S, Costello, J, Green, JG, Gruber, MJ, McLaughlin, KA, Petukhova, M, Sampson, NA, Zaslavsky, AM, Merikangas, KR (2012 b). Severity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Archives of General Psychiatry 69, 381389.Google Scholar
Kessler, RC, Avenevoli, S, Green, J, Gruber, MJ, Guyer, M, He, Y, Jin, R, Kaufman, J, Sampson, NA, Zaslavsky, AM, Merikangas, KR (2009). National Comorbidity Survey Replication Adolescent Supplement (NCS-A): III. Concordance of DSM-IV/CIDI diagnoses with clinical reassessments. Journal of the American Academy of Child and Adolescent Psychiatry 48, 386399.Google Scholar
Kessler, RC, Avenevoli, S, McLaughlin, KA, Green, JG, Lakoma, MD, Petukhova, M, Pine, DS, Sampson, NA, Zaslavsky, AM, Merikangas, KR (2012 c). Lifetime co-morbidity of DSM-IV disorders in the US National Comorbidity Survey Replication Adolescent Supplement (NCS-A). Psychological Medicine 42, 19972010.Google Scholar
Kessler, RC, Berglund, P, Demler, O, Jin, R, Merikangas, KR, Walters, EE (2005 a). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 593602.Google Scholar
Kessler, RC, Chiu, WT, Demler, O, Merikangas, KR, Walters, EE (2005 b). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 617627.CrossRefGoogle ScholarPubMed
Kessler, RC, Cox, BJ, Green, JG, Ormel, J, McLaughlin, KA, Merikangas, KR, Petukhova, M, Pine, DS, Russo, LJ, Swendsen, J, Wittchen, HU, Zaslavsky, AM (2011). The effects of latent variables in the development of comorbidity among common mental disorders. Depression and Anxiety 28, 2939.Google Scholar
Kessler, RC, McGonagle, KA, Zhao, S, Nelson, CB, Hughes, M, Eshleman, S, Wittchen, HU, Kendler, KS (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Archives of General Psychiatry 51, 819.Google Scholar
Kessler, RC, Merikangas, KR, Berglund, P, Eaton, WW, Koretz, DS, Walters, EE (2003). Mild disorders should not be eliminated from the DSM-V. Archives of General Psychiatry 60, 11171122.CrossRefGoogle Scholar
Kessler, RC, Ustun, TB (2004). The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research 13, 93121.CrossRefGoogle ScholarPubMed
Kim-Cohen, J, Caspi, A, Moffitt, TE, Harrington, H, Milne, BJ, Poulton, R (2003). Prior juvenile diagnoses in adults with mental disorder – developmental follow-back of a prospective–longitudinal cohort. Archives of General Psychiatry 60, 709717.Google Scholar
Kotov, R, Ruggero, CJ, Krueger, RF, Watson, D, Yuan, Q, Zimmerman, M (2011). New dimensions in the quantitative classification of mental illness. Archives of General Psychiatry 68, 10031011.Google Scholar
Krueger, RF, Markon, KE (2011). A dimensional-spectrum model of psychopathology: progress and opportunities. Archives of General Psychiatry 68, 1011.Google Scholar
Lahey, BB (2009). Public health significance of neuroticism. American Psychologist 64, 241256.CrossRefGoogle ScholarPubMed
Lahey, BB, Applegate, B, Hakes, JK, Zald, DH, Hariri, AR, Rathouz, PJ (2012). Is there a general factor of prevalent psychopathology during adulthood? Journal of Abnormal Psychology 121, 971977.Google Scholar
Maughan, B, Collishaw, S, Meltzer, H, Goodman, R (2008). Recent trends in UK child and adolescent mental health. Social Psychiatry and Psychiatric Epidemiology 43, 305310.Google Scholar
McGee, R, Feehan, M, Williams, S, Anderson, J (1992). DSM-III disorders from age 11 to age 15 years. Journal of the American Academy of Child and Adolescent Psychiatry 31, 5059.Google Scholar
Merikangas, KR, He, JP, Burstein, M, Swanson, SA, Avenevoli, S, Cui, L, Benjet, C, Georgiades, K, Swendsen, J (2010). Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A). Journal of the American Academy of Child and Adolescent Psychiatry 49, 980989.Google Scholar
Moffitt, TE, Arseneault, L, Belsky, D, Dickson, N, Hancox, RJ, Harrington, H, Houts, R, Poulton, R, Roberts, BW, Ross, S, Sears, MR, Thomson, WM, Caspi, A (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences USA 108, 26932698.Google Scholar
Moffitt, TE, Caspi, A, Taylor, A, Kokaua, J, Milne, BJ, Polanczyk, G, Poulton, R (2010). How common are common mental disorders? Evidence that lifetime prevalence rates are doubled by prospective versus retrospective ascertainment. Psychological Medicine 40, 899909.Google Scholar
Murray, CJL, Lopez, AD (1996). The Global Burden of Disease. Harvard University Press: Boston.Google Scholar
Nederhof, E, Jörg, F, Raven, D, Veenstra, R, Verhulst, FC, Ormel, J, Oldehinkel, AJ (2012). Benefits of extensive recruitment effort persist during follow-ups and are consistent across age group and survey method. The TRAILS study. BMC Medical Research Methodology 12, 93.Google Scholar
Newman, DL, Moffitt, TE, Caspi, A, Magdol, L, Silva, PA (1996). Psychiatric disorder in a birth cohort of young adults: prevalence, comorbidity, clinical significance, and new case incidence from ages 11 to 21. Journal of Consulting and Clinical Psychology 64, 552562.Google Scholar
Oldehinkel, AJ, Hartman, CA, de Winter, AF, Veenstra, R, Ormel, J (2004). Temperament profiles associated with internalizing and externalizing problems in preadolescence. Development and Psychopathology 16, 421440.Google Scholar
Ormel, J, Jeronimus, BF, Kotov, R, Riese, H, Bos, EH, Hankin, B, Rosmalen, JGM, Oldehinkel, AJ (2013). Neuroticism and common mental disorders: meaning and utility of a complex relationship. Clinical Psychology Review 33, 686697.Google Scholar
Ormel, J, Oldehinkel, AJ, Sijtsema, J, van Oort, F, Raven, D, Veenstra, R, Vollebergh, WAM, Verhulst, FC (2012). The TRacking Adolescents’ Individual Lives Survey (TRAILS): design, current status, and selected findings. Journal of the American Academy of Child and Adolescent Psychiatry 51, 10201036.Google Scholar
Ormel, J, Petukhova, M, Chatterji, S, Aguilar-Gaxiola, S, Alonso, J, Angermeyer, MC, Bromet, EJ, Burger, H, Demyttenaere, K, de Girolamo, G, Haro, JM, Hwang, I, Karam, E, Kawakami, N, Lepine, JP, Medina-Mora, ME, Posada-Villa, J, Sampson, N, Scott, K, Ustun, TB, Von Korff, M, Williams, DR, Zhang, M, Kessler, RC (2008). Disability and treatment of specific mental and physical disorders across the world. British Journal of Psychiatry 192, 368375.Google Scholar
Quinton, D, Gulliver, L, Rutter, M (1995). A 15–20 year follow-up of adult psychiatric patients. Psychiatric disorder and social functioning. British Journal of Psychiatry 167, 315323.Google Scholar
Reijneveld, SA, Veenstra, R, de Winter, AF, Verhulst, FC, Ormel, J, de Meer, G (2010). Area deprivation affects behavioral problems of young adolescents in mixed urban and rural areas: the TRAILS study. Journal of Adolescent Health 46, 189196.Google Scholar
Rutter, M (1995). Relationships between mental disorders in childhood and adulthood. Acta Psychiatrica Scandinavica 91, 7385.Google Scholar
Rutter, M (2005). How the environment affects mental health. British Journal of Psychiatry 186, 46.Google Scholar
Rutter, M, Maughan, B (1997). Psychosocial adversities in childhood and adult psychopathology. Journal of Personality Disorders 11, 418.CrossRefGoogle ScholarPubMed
Shanahan, L, Copeland, W, Costello, EJ, Angold, A (2008). Specificity of putative psychosocial risk factors for psychiatric disorders in children and adolescents. Journal of Child Psychology and Psychiatry 49, 3442.Google Scholar
Simon, GE, Von Korff, M (1995). Recall of psychiatric history in cross-sectional surveys: implications for epidemiologic research. Epidemiologic Reviews 17, 221227.Google Scholar
ten Have, M, Nuyen, J, Beekman, A, de Graaf, R (2013). Common mental disorder severity and its association with treatment contact and treatment intensity for mental health problems. Psychological Medicine 43, 22032213.Google Scholar
Uher, R, Rutter, M (2012). Basing psychiatric classification on scientific foundation: problems and prospects. International Review of Psychiatry 24, 591605.Google Scholar
van den Akker, M, Buntinx, F, Metsemakers, JF, Roos, S, Knottnerus, JA (1998). Multimorbidity in general practice: prevalence, incidence, and determinants of co-occurring chronic and recurrent diseases. Journal of Clinical Epidemiology 51, 367375.Google Scholar
van der Jagt-Jelsma, W, de Vries-Schot, M, de Jong, R, Verhulst, FC, Ormel, J, Veenstra, R, Swinkels, S, Buitelaar, J (2011). The relationship between parental religiosity and mental health of pre-adolescents in a community sample: the TRAILS study. European Child and Adolescent Psychiatry 20, 253260.Google Scholar
Veenstra, R, Lindenberg, S, Oldehinkel, AJ, De Winter, AF, Ormel, J (2006). Temperament, environment, and antisocial behavior in a population sample of preadolescent boys and girls. International Journal of Behavioral Development 30, 422432.Google Scholar
Verboom, CE, Sijtsema, JJ, Verhulst, FC, Penninx, BWJH, Ormel, J (2014). Longitudinal associations between depressive problems, academic performance, and social functioning in adolescent boys and girls. Developmental Psychology 50, 247257.Google Scholar
Verhulst, FC, van der Ende, J, Ferdinand, RF, Kasius, MC (1997). The prevalence of DSM-III-R diagnoses in a national sample of Dutch adolescents. Archives of General Psychiatry 54, 329336.CrossRefGoogle Scholar
Vollebergh, WAM, Iedema, J, Bijl, RV, de Graaf, R, Smit, F, Ormel, J (2001). The structure and stability of common mental disorders: the NEMESIS Study. Archives of General Psychiatry 58, 597603.Google Scholar
Wing, JK, Mann, SA, Leff, JP, Nixon, JM (1978). The concept of a ‘case’ in psychiatric population surveys. Psychological Medicine 8, 203217.Google Scholar
Wittchen, H-U, Nelson, CB, Lachner, G (1998). Prevalence of mental disorders and psychosocial impairments in adolescents and young adults. Psychological Medicine 28, 109126.Google Scholar
Yach, D, Hawkes, C, Gould, CL, Hofman, KJ (2004). The global burden of chronic diseases: overcoming impediments to prevention and control. Journal of the American Medical Association 291, 26162622.Google Scholar
Supplementary material: File

Ormel Supplementary Material

Tables S1-S4

Download Ormel Supplementary Material(File)
File 145.4 KB