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Mental health trajectories from adolescence to adulthood: Language disorder and other childhood and adolescent risk factors

Published online by Cambridge University Press:  27 November 2015

Lin Bao
Affiliation:
Centre for Addiction and Mental Health
E. B. Brownlie
Affiliation:
Centre for Addiction and Mental Health University of Toronto
Joseph H. Beitchman*
Affiliation:
Centre for Addiction and Mental Health University of Toronto
*
Address correspondence and reprint requests to: Joseph H. Beitchman, Child, Youth and Family Services, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON M6J 1H4, Canada; E-mail: Joe.Beitchman@camh.ca.

Abstract

Longitudinal research on mental health development beyond adolescence among nonclinical populations is lacking. This study reports on psychiatric disorder trajectories from late adolescence to young adulthood in relation to childhood and adolescent risk factors. Participants were recruited for a prospective longitudinal study tracing a community sample of 5-year-old children with communication disorders and a matched control cohort to age 31. Psychiatric disorders were measured at ages 19, 25, and 31. Known predictors of psychopathology and two school-related factors specifically associated with language disorder (LD) were measured by self-reports and semistructured interviews. The LD cohort was uniquely characterized by a significantly decreasing disorder trajectory in early adulthood. Special education was associated with differential disorder trajectories between LD and control cohorts, whereas maltreatment history, specific learning disorder, family structure, and maternal psychological distress were associated with consistent trajectories between cohorts. From late adolescence to young adulthood, childhood LD was characterized by a developmentally limited course of psychiatric disorder; maltreatment was consistently characterized by an elevated risk of psychiatric disorder regardless of LD history, whereas special education was associated with significantly decreasing risk of psychiatric disorder only in the presence of LD.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2015 

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References

Achenbach, T. M. (1991). Manual for the Teacher's Report Form and 1991 Profile. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
American Psychiatric Association. (1987). Diagnostic and statistical manual of mental disorders (3rd ed. revised). Washington, DC: Author.Google Scholar
Beitchman, J. H., Brownlie, E. B., & Bao, L. (2014). Age 31 mental health outcomes of childhood language and speech disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 53, 11021110.CrossRefGoogle ScholarPubMed
Beitchman, J. H., Hood, J., Rochon, J., Peterson, M., Mantini, T., & Majumdar, S. (1989). Empirical classification of speech/language impairment in children: I. Identification of speech/language categories. Journal of the American Academy of Child & Adolescent Psychiatry, 28, 112117.CrossRefGoogle ScholarPubMed
Beitchman, J. H., Nair, R., Clegg, M., Ferguson, B., & Patel, P. G. (1986). Prevalence of psychiatric disorders in children with speech and language disorders. Journal of the American Academy of Child Psychiatry, 25, 528535.CrossRefGoogle ScholarPubMed
Beitchman, J. H., Wilson, B., Johnson, C. J., Atkinson, L., Young, A., Adlaf, E., et al. (2001). Fourteen-year follow-up of speech/language-impaired and control children: Psychiatric outcome. Journal of the American Academy of Child & Adolescent Psychiatry, 40, 7582.Google Scholar
Bergtold, J. S., Yeager, E. A., & Featherstone, A. (2011). Sample size and robustness of inferences from logistic regression in the presence of nonlinearity and multicollinearity. Paper presented at the Agricultural and Applied Economics Association's 2011 AAEA & NAREA Joint Annual Meeting, Pittsburgh, PA.Google Scholar
Berry, W. D., DeMeritt, J. H. R., & Esarey, J. (2010). Testing for interaction in binary logit and probit models: Is a product term essential? American Journal of Political Science, 54, 248266.CrossRefGoogle Scholar
Bird, H. R., Canino, G., Rubio-Stipec, M., Gould, M. S., Ribera, J., Sesman, M., et al. (1988). Estimates of the prevalence of childhood maladjustment in a community survey in Puerto Rico: The use of combined measures. JAMA Psychiatry, 45, 11201126.Google Scholar
Blishen, B. R., & McRoberts, H. A. (1976). A revised socioeconomic index for occupations in Canada. Canadian Review of Sociology, 13, 7179.CrossRefGoogle Scholar
Clegg, J., Hollis, C., Mawhood, L., & Rutter, M. (2005). Developmental language disorders—A follow-up in later adult life: Cognitive, language and psychosocial outcomes. Journal of Child Psychology and Psychiatry, 46, 128149.CrossRefGoogle ScholarPubMed
de Girolamo, G., Polidori, G., Morosini, P., Scarpino, V., Reda, V., Serra, G., et al. (2006). Prevalence of common mental disorders in Italy: Results from the European study of the epidemiology of mental disorders (ESEMeD). Social Psychiatry and Psychiatric Epidemiology, 41, 853861.CrossRefGoogle ScholarPubMed
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 the Netherlands mental health survey and incidence study—2. Social Psychiatry and Psychiatric Epidemiology, 47, 203213.CrossRefGoogle ScholarPubMed
Derogatis, L. R. (1993). The Brief Symptom Inventory (BSI): Administration, scoring and procedures manual (3rd ed.). Minneapolis, MN: National Computer Systems.Google Scholar
Dunn, L. M., & Dunn, L. M. (1981). Manual for Peabody Picture Vocabulary Test—Revised. Circle Pines, MN: American Guidance Service.Google Scholar
Durkin, K., Simkin, Z., Knox, E., & Conti-Ramsden, G. (2009). Specific language impairment and school outcomes: II. Educational context, student satisfaction, and post-compulsory progress. International Journal of Language & Communication Disorders, 44, 3655.Google Scholar
Dworet, D., & Bennett, S. (2002). A view from the north: Special education in Canada. Teaching Exceptional Children, 34, 2227.Google Scholar
Goldman, R., Fristoe, M., & Woodcock, R. W. (1970). Goldman–Fristoe–Woodcock Test of Auditory Discrimination. Circle Pines, MN: American Guidance Service.Google Scholar
Endicott, J., Spitzer, R. L., Fleiss, J. L., & Cohen, J. (1976). The global assessment scale: A procedure for measuring overall severity of psychiatric disturbance. Archives of General Psychiatry, 33, 766771.CrossRefGoogle Scholar
Hammill, D. D., & Newcomer, P. L. (1988). Test of Language Development—2: Intermediate. Austin, TX: PRO-ED.Google Scholar
Hayatbakhsh, R., Clavarino, A. M., Williams, G. M., Bor, W., O'Callaghan, M. J., & Najman, J. M. (2013). Family structure, marital discord and offspring's psychopathology in early adulthood: A prospective study. European Child & Adolescent Psychiatry, 22, 693700.CrossRefGoogle ScholarPubMed
Héraud-Bousquet, V., Larsen, C., Carpenter, J., Desenclos, J.-C., & Strat, Y. L. (2012). Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data. BMC Medical Research Methodology, 12, 73.Google Scholar
Hulme, P. A. (2000). Symptomatology and health care utilization of women primary care patients who experienced childhood sexual abuse. Child Abuse & Neglect, 24, 14711484.Google Scholar
Isohanni, I., Järvelin, M. R., Nieminen, P., Jones, P., Rantakallio, P., Jokelainen, J., et al. (1998). School performance as a predictor of psychiatric hospitalization in adult life: A 28-year follow-up in the northern Finland 1966 birth cohort. Psychological Medicine, 28, 967974.CrossRefGoogle ScholarPubMed
Kaufman, A. S., & Kaufman, N. L. (1985). Kaufman Test of Educational Achievement. Circle Pines, MN: American Guidance Services.Google Scholar
Keyes, K. M., Eaton, N. R., Krueger, R. F., McLaughlin, K. A., Wall, M. M., Grant, B. F., et al. (2012). Childhood maltreatment and the structure of common psychiatric disorders. British Journal of Psychiatry, 200, 107115.CrossRefGoogle ScholarPubMed
Liang, K.-Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73, 1322.CrossRefGoogle Scholar
Mesman, J., & Koot, H. M. (2000). Child-reported depression and anxiety in preadolescence: I. Associations with parent- and teacher-reported problems. Journal of the American Academy of Child & Adolescent Psychiatry, 39, 13711378.Google Scholar
Newcomer, P. L., & Hammill, D. D. (1977). The Test of Language Development (TOLD). Austin, TX: Empiric Press.Google Scholar
Pastor, P. N., & Reuben, C. A. (2009). Emotional/behavioral difficulties and mental health service contacts of students in special education for non-mental health problems. Journal of School Health, 79, 8289.CrossRefGoogle ScholarPubMed
Pirkola, S., Isometsä, E., Aro, H., Kestilä, L., Hämäläinen, J., Veijola, J., et al. (2005). Childhood adversities as risk factors for adult mental disorders: Results from the health 2000 study. Social Psychiatry and Psychiatric Epidemiology, 40, 769777.CrossRefGoogle ScholarPubMed
Schoon, I., Parsons, S., Rush, R., & Law, J. (2010). Children's language ability and psychosocial development: A 29-year follow-up study. Pediatrics, 126, e73e80.CrossRefGoogle ScholarPubMed
Schulenberg, J. E., & Zarrett, N. R. (2006). Mental health during emerging adulthood: Continuity and discontinuity in courses, causes, and functions. In Arnett, J. J. & Tanner, J. L. (Eds.), Emerging adults in America: Coming of age in the 21st century (pp. 135172). Washington, DC: APA Books.CrossRefGoogle Scholar
Shen, C.-W., & Chen, Y.-H. (2013). Model selection of generalized estimating equations with multiply imputed longitudinal data. Biometrical Journal, 55, 899911.CrossRefGoogle ScholarPubMed
Simkin, Z., & Conti-Ramsden, G. (2009). “I went to a language unit”: Adolescents’ views on specialist educational provision and their language difficulties. Child Language Teaching and Therapy, 25, 103122.CrossRefGoogle Scholar
StataCorp. (2011). Stata statistical software: Release 12. College Station, TX: StataCorp LP.Google Scholar
Taanila, A., Ebeling, H., Tiihala, M., Kaakinen, M., Moilanen, I., Hurtig, T., et al. (2014). Association between childhood specific learning difficulties and school performance in adolescents with and without ADHD symptoms: A 16-year follow-up. Journal of Attention Disorders, 18, 6172.Google Scholar
Tanner, J. L., Reinherz, H. Z., Beardslee, W. R., Fitzmaurice, G. M., Leis, J. A., & Berger, S. R. (2007). Change in prevalence of psychiatric disorders from age 21 to 30 in a community sample. Journal of Nervous and Mental Disease, 195, 298306.Google Scholar
Wechsler, D. (1974). Manual for the Wechsler Intelligence Scale for Children—Revised (WISC-R). San Antonio, TX: Psychological Corporation.Google Scholar
White, I. R., Royston, P., & Wood, A. M. (2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, 30, 377399.Google Scholar
Wilkinson, G. S. (1993). Wide Range Achievement Test 3: Administration manual. Wilmington, DE: Jastak Associates.Google Scholar
Wittchen, H. U. (1994). Reliability and validity studies of the WHO—Composite International Diagnostic Interview (CIDI): A critical review. Journal of Psychiatric Research, 28, 5784.CrossRefGoogle ScholarPubMed
Woodcock, R. W., & Johnson, W. B. (1989). Woodcock–Johnson Psycho-Educational Battery—Revised. Allen, TX: DLM Teaching Resources.Google Scholar
World Health Organization. (1990). Composite International Diagnostic Interview (CIDI) (Version 1.0) . Geneva: Author.Google Scholar
Young, A. R., Beitchman, J. H., Johnson, C., Douglas, L., Atkinson, L., Escobar, M., et al. (2002). Young adult academic outcomes in a longitudinal sample of early identified language impaired and control children. Journal of Child Psychology and Psychiatry, 43, 635645.CrossRefGoogle Scholar
Zegarac, G. (2008). Special education in Ontario—“Closing the gap as the overarching goal: Changing special education practices and outcomes.” Paper presented at the Canadian Society for the Study of Education, Vancouver, BC.Google Scholar