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Functional outcomes of child and adolescent mental disorders. Current disorder most important but psychiatric history matters as well

Published online by Cambridge University Press:  09 January 2017

J. Ormel*
Affiliation:
Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
A. M. Oerlemans
Affiliation:
Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
D. Raven
Affiliation:
Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
O. M. Laceulle
Affiliation:
Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands Department of Developmental Psychology, University of Utrecht, Utrecht, The Netherlands
C. A. Hartman
Affiliation:
Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
R. Veenstra
Affiliation:
Department of Sociology, University of Groningen, Groningen, The Netherlands
F. C. Verhulst
Affiliation:
Department of Child and Adolescent Psychiatry & Psychology, Erasmus University Medical Center, Rotterdam, The Netherlands
W. Vollebergh
Affiliation:
Department of Interdisciplinary Social Science, University of Utrecht, Utrecht, The Netherlands
J. G. M. Rosmalen
Affiliation:
Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
S. A. Reijneveld
Affiliation:
Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
A. J. Oldehinkel
Affiliation:
Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
*
*Address for correspondecne: J. Ormel, PhD, Department of Psychiatry, University of Groningen, University Medical Center Groningen, CC 72, P.O. Box 30.001, 9700 RB Groningen, The Netherlands. (Email: j.ormel@umcg.nl)

Abstract

Background

Various sources indicate that mental disorders are the leading contributor to the burden of disease among youth. An important determinant of functioning is current mental health status. This study investigated whether psychiatric history has additional predictive power when predicting individual differences in functional outcomes.

Method

We used data from the Dutch TRAILS study in which 1778 youths were followed from pre-adolescence into young adulthood (retention 80%). Of those, 1584 youths were successfully interviewed, at age 19, using the World Health Organization Composite International Diagnostic Interview (CIDI 3.0) to assess current and past CIDI-DSM-IV mental disorders. Four outcome domains were assessed at the same time: economic (e.g. academic achievement, social benefits, financial difficulties), social (early motherhood, interpersonal conflicts, antisocial behavior), psychological (e.g. suicidality, subjective well-being, loneliness), and health behavior (e.g. smoking, problematic alcohol, cannabis use).

Results

Out of the 19 outcomes, 14 were predicted by both current and past disorders, three only by past disorders (receiving social benefits, psychiatric hospitalization, adolescent motherhood), and two only by current disorder (absenteeism, obesity). Which type of disorders was most important depended on the outcome. Adjusted for current disorder, past internalizing disorders predicted in particular psychological outcomes while externalizing disorders predicted in particular health behavior outcomes. Economic and social outcomes were predicted by a history of co-morbidity of internalizing and externalizing disorder. The risk of problematic cannabis use and alcohol consumption dropped with a history of internalizing disorder.

Conclusion

To understand current functioning, it is necessary to examine both current and past psychiatric status.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

Achenbach, TM, Rescorla, LA (2003). Manual for ASEBA Adult Forms & Profiles. University of Vermont: Burlington, VT.Google Scholar
Bashford, J, Flett, R, Copeland, J (2010). The Cannabis Use Problems Identification Test (CUPIT): development, reliability, concurrent and predictive validity among adolescents and adults. Addiction 105, 615625 Google Scholar
Caspi, A, Moffitt, TE, Thornton, A, et al. (1996). The life history calendar: a research and clinical assessment method for collecting retrospective event-history data. International Journal of Methods in Psychiatric Research 6, 101114.Google Scholar
Copeland, WE, Wolke, D, Shanahan, L, Costello, J (2015). Adult functional outcomes of common childhood psychiatric problems A prospective, longitudinal study. JAMA Psychiatry 72, 892899. doi:10.1001/jamapsychiatry.2015.0730 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 & Adolescent Psychiatry 50, 252261.CrossRefGoogle ScholarPubMed
Costa, PT, McCrae, RR (1992). Revised NEO Personality Inventory (NEO-PI-R) and the Five Factor Inventory (NEO-FFI): professional manual. Psychological Assessment Resources: Odessa, FL.Google Scholar
Costello, EJ (1999). Commentary on: ‘Prevalence and impact of parent-reported disabling mental health conditions among U.S. children’. Journal of the American Academy of Child and Adolescent Psychiatry 38, 610613.CrossRefGoogle Scholar
Costello, EJ, Angold, A, Burns, BJ, Erkanli, A, Stangl, DK, Tweed, DL (1996). The Great Smoky Mountains study of youth: functional impairment and serious emotional disturbance. Archives of General Psychiatry 53, 11371143.Google Scholar
Costello, EJ, Copeland, W, Cowell, A, Keeler, G (2007). Service costs of caring for adolescents with mental illness in a rural community, 1993–2000. American Journal of Psychiatry 164, 3642.Google Scholar
Costello, EJ, Mustillo, S, Erkanli, A, Keeler, G, Angold, A (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry 60, 837844.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle 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 ScholarPubMed
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 (0004–8674; 3), 287296.Google Scholar
Fergusson, DM, Woodward, LJ (2002). Mental health, educational, and social role outcomes of adolescents with depression. Archives of General Psychiatry 59, 225231.Google Scholar
Fergusson, DM, Boden, JM, Horwood, LJ (2013). Alcohol misuse and psychosocial outcomes in young adulthood: results from a longitudinal birth cohort studied to age 30. Drug and Alcohol Dependence 133, 513519. doi:10.1016/j.drugalcdep.2013.07.015.Google Scholar
Harhay, MO, King, CH (2012). Global burden of disease in young people aged 10–24 years. Lancet 379, 2728.CrossRefGoogle ScholarPubMed
Haro, JM, rbabzadeh-Bouchez, S, Brugha, TS, de Girolamo, G, Guyer, ME, Jin, R, Lepine, JP, Mazzi, M, 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(1049–8931; 4), 167180.Google Scholar
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, 122701235 (1464).Google Scholar
Hunt, SM, McKenna, SP, McEwen, J, et al. (1980). A quantitative approach to perceived health status: a validation study. Journal of Epidemiology and Community Health 34, 281286.CrossRefGoogle ScholarPubMed
Jorg, F, Visser, E, Ormel, J, Reijneveld, SA, Hartman, CA, Oldehinkel, AJ (2015). Mental health care use in adolescents with and without mental disorders. European Child & Adolescent Psychiatry. doi:10.1007/s00787–015–0754-9.Google Scholar
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, Green, J, Gruber, MJ, Guyer, M, He, Y, He Ym 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, Chiu, WT, Demler, O, Walters, EE (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the national comorbidity survey replication. Archives of General Psychiatry 62, 617627.Google 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
Merikangas, KR, He, JP, Burstein, M, Swanson, SA, Avenevoli, S, Cui, L, … Swendsen, J (2010 a). 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.CrossRefGoogle ScholarPubMed
Merikangas, KR, He, J, Burstein, M, Swanson, SA, Avenevoli, S, Cui, L, … Swendsen, J (2010 b). 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.CrossRefGoogle ScholarPubMed
Moffitt, TE, Arseneault, L, Belsky, D, Dickson, N, Hancox, RJ, Harrington, H, … 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, Silva, P (1988). Self-reported delinquency. Australia and New Zealand Journal of Criminology 21, 227240.Google Scholar
Nederhof, E, Jorg, 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
Oldehinkel, AJ, Rosmalen, J, Buitelaar, JK, Hoek, HW, Ormel, J, Raven, D, Reijneveld, SA, Veenstra, R, Verhulst, FC, Vollebergh, WAM, Hartman, CA (2015). Cohort profile update: The TRacking adolescents’ individual lives survey (TRAILS). International Journal of Epidemiology 44, 7676n.CrossRefGoogle ScholarPubMed
Ormel, J, Raven, D, van Oort, F, Hartman, CA, Reijneveld, SA, Veenstra, R, Vollebergh, WAM, Buitelaar, J, Verhulst, FC, Oldehinkel, AJ (2015). Mental health in Dutch adolescents: a TRAILS report on prevalence, severity, age of onset, continuity and co-morbidity of DSM disorders. Psychological Medicine 45, 345360. doi:S0033291714001469. Google Scholar
Ormel, J, Oldehinkel, AJ, Sijtsema, J, van Oort, F, Raven, D, Veenstra, R, … 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
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.CrossRefGoogle ScholarPubMed
Rothbart, MK, Ahadi, SA, Evans, DE (2000). Temperament and personality: origins and outcomes. Journal of Personality and Social Psychology 78, 122135.Google Scholar
Rutter, M, Dunn, J, Plomin, R, Simonoff, E, Pickles, A, Maughan, B, … Eaves, L (1997). Integrating nature and nurture: implications of person-environment correlations and interactions for developmental psychopathology. Development and Psychopathology 9, 335364.Google Scholar
Santis, R, Garmendia, ML, Acuña, G, et al. (2009). The Alcohol Use Disorders Identification Test (AUDIT) as a screening instrument for adolescents. Drug and Alcohol Dependence 103, 155158.Google Scholar
Verboom, CE, Sijtsema, JJ, Verhulst, FC, Penninx, BWJH, Ormel, J (2013). Longitudinal associations between depressive problems, academic performance, and social functioning in adolescent boys and girls. Developmental Psychology 50, 247257. doi:10.1037/a0032547. CrossRefGoogle ScholarPubMed
Verhulst, FC, vanderEnde, J, Ferdinand, RF, Kasius, MC (1997). The prevalence of DSM-III-R diagnoses in a naotional sample of Dutch adolescents. Archives of General Psychiatry 54, 329336.CrossRefGoogle Scholar
Vos, T, Mathers, C (2000). The burden of mental disorders: a comparison of methods between the Australian burden of disease studies and the global burden of disease study. Bulletin of the World Health Organization 78, 427438.Google ScholarPubMed
Vos, T, Mathers, C, Herrman, H, Harvey, C, Gureje, O, Bui, D, … Begg, S (2001). The burden of mental disorders in Victoria, 1996. Social Psychiatry and Psychiatric Epidemiology 36, 5362.Google Scholar
Weisz, JR, Sandler, IN, Durlak, JA, Anton, BS (2005). Promoting and protecting youth mental health through evidence-based prevention and treatment. American Psychologist 60, 628648.Google Scholar
Wittchen, HU, Perkonigg, A, Lachner, G, Nelson, CB (1998). Early developmental stages of psychopathology study (EDSP): objectives and design. European Addiction Research 4, 1827.Google Scholar