Literature DB >> 19581568

Childhood and adolescent psychiatric disorders as predictors of young adult disorders.

William E Copeland1, Lilly Shanahan, E Jane Costello, Adrian Angold.   

Abstract

CONTEXT: Most adults with a psychiatric disorder first met diagnostic criteria during childhood and/or adolescence, yet specific homotypic and heterotypic patterns of prediction have not been firmly established.
OBJECTIVE: To establish which childhood and adolescent psychiatric disorders predict particular young adult disorders when accounting for comorbidities, disaggregating similar disorders, and examining childhood and adolescent predictors separately.
DESIGN: Eleven waves of data from the prospective population-based Great Smoky Mountains Study (N = 1420) were used.
SETTING: The Great Smoky Mountains Study is a longitudinal study of the development of psychiatric disorder and need for mental health services in rural and urban youth. A representative sample of children was recruited from 11 counties in western North Carolina. PARTICIPANTS: Children in the community aged 9 to 16, 19, and 21 years. MAIN OUTCOME MEASURES: Common psychiatric disorders were assessed in childhood (ages 9-12 years) and adolescence (ages 13-16 years) with the Child and Adolescent Psychiatric Assessment and in young adulthood (ages 19 and 21 years) with the Young Adult Psychiatric Assessment.
RESULTS: Adolescent depression significantly predicted young adult depression in the bivariate analysis, but this effect was entirely accounted for by comorbidity of adolescent depression with adolescent oppositional defiant disorder, anxiety, and substance disorders in adjusted analyses. Generalized anxiety and depression cross-predicted each other, and oppositional defiant disorder (but not conduct disorder) predicted later anxiety disorders and depression. Evidence of homotypic prediction was supported for substance use disorders, antisocial personality disorder (from conduct disorder), and anxiety disorders, although this effect was primarily accounted for by DSM-III-R overanxious disorder.
CONCLUSIONS: Stringent tests of homotypic and heterotypic prediction patterns suggest a more developmentally and diagnostically nuanced picture in comparison with the previous literature. The putative link between adolescent and young adult depression was not supported. Oppositional defiant disorder was singular in being part of the developmental history of a wide range of young adult disorders.

Entities:  

Mesh:

Year:  2009        PMID: 19581568      PMCID: PMC2891142          DOI: 10.1001/archgenpsychiatry.2009.85

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  57 in total

1.  The Child and Adolescent Psychiatric Assessment (CAPA).

Authors:  A Angold; E J Costello
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2000-01       Impact factor: 8.829

Review 2.  Mood disorders in children and adolescents: an epidemiologic perspective.

Authors:  R C Kessler; S Avenevoli; K Ries Merikangas
Journal:  Biol Psychiatry       Date:  2001-06-15       Impact factor: 13.382

Review 3.  Are child-, adolescent-, and adult-onset depression one and the same disorder?

Authors:  J Kaufman; A Martin; R A King; D Charney
Journal:  Biol Psychiatry       Date:  2001-06-15       Impact factor: 13.382

4.  Assessing the effects of age, sex and shared environment on the genetic aetiology of depression in childhood and adolescence.

Authors:  Frances Rice; Gordon T Harold; Anita Thapar
Journal:  J Child Psychol Psychiatry       Date:  2002-11       Impact factor: 8.982

5.  Natural course of adolescent major depressive disorder in a community sample: predictors of recurrence in young adults.

Authors:  P M Lewinsohn; P Rohde; J R Seeley; D N Klein; I H Gotlib
Journal:  Am J Psychiatry       Date:  2000-10       Impact factor: 18.112

6.  The relationship between DSM-IV oppositional defiant disorder and conduct disorder: findings from the Great Smoky Mountains Study.

Authors:  Richard Rowe; Barbara Maughan; Andrew Pickles; E Jane Costello; Adrian Angold
Journal:  J Child Psychol Psychiatry       Date:  2002-03       Impact factor: 8.982

7.  Mental health, educational, and social role outcomes of adolescents with depression.

Authors:  David M Fergusson; Lianne J Woodward
Journal:  Arch Gen Psychiatry       Date:  2002-03

8.  Differences in early childhood risk factors for juvenile-onset and adult-onset depression.

Authors:  Sara R Jaffee; Terrie E Moffitt; Avshalom Caspi; Eric Fombonne; Richie Poulton; Judith Martin
Journal:  Arch Gen Psychiatry       Date:  2002-03

9.  Child and adolescent problems predict DSM-IV disorders in adulthood: a 14-year follow-up of a Dutch epidemiological sample.

Authors:  Marijke B Hofstra; Jan van der Ende; Frank C Verhulst
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2002-02       Impact factor: 8.829

10.  Testing structural models of DSM-IV symptoms of common forms of child and adolescent psychopathology.

Authors:  Benjamin B Lahey; Paul J Rathouz; Carol Van Hulle; Richard C Urbano; Robert F Krueger; Brooks Applegate; Holly A Garriock; Derek A Chapman; Irwin D Waldman
Journal:  J Abnorm Child Psychol       Date:  2007-10-03
View more
  264 in total

Review 1.  Childhood internalizing behaviour: analysis and implications.

Authors:  J Liu; X Chen; G Lewis
Journal:  J Psychiatr Ment Health Nurs       Date:  2011-05-20       Impact factor: 2.952

2.  The co-occurrence of substance use and bullying behaviors among U.S. adolescents: understanding demographic characteristics and social influences.

Authors:  Jeremy W Luk; Jing Wang; Bruce G Simons-Morton
Journal:  J Adolesc       Date:  2012-06-13

3.  Co-occurring internalizing and externalizing behavioral problems: the mediating effect of negative self-concept.

Authors:  Eunju J Lee; Susan I Stone
Journal:  J Youth Adolesc       Date:  2011-08-10

4.  The Short-Term Longitudinal and Reciprocal Relations Between Peer Victimization on Facebook and Adolescents' Well-Being.

Authors:  Eline Frison; Kaveri Subrahmanyam; Steven Eggermont
Journal:  J Youth Adolesc       Date:  2016-02-15

5.  Anxious and non-anxious major depressive disorder in the World Health Organization World Mental Health Surveys.

Authors:  R C Kessler; N A Sampson; P Berglund; M J Gruber; A Al-Hamzawi; L Andrade; B Bunting; K Demyttenaere; S Florescu; G de Girolamo; O Gureje; Y He; C Hu; Y Huang; E Karam; V Kovess-Masfety; S Lee; D Levinson; M E Medina Mora; J Moskalewicz; Y Nakamura; F Navarro-Mateu; M A Oakley Browne; M Piazza; J Posada-Villa; T Slade; M Ten Have; Y Torres; G Vilagut; M Xavier; Z Zarkov; V Shahly; M A Wilcox
Journal:  Epidemiol Psychiatr Sci       Date:  2015-02-27       Impact factor: 6.892

6.  Lifetime co-morbidity of DSM-IV disorders in the US National Comorbidity Survey Replication Adolescent Supplement (NCS-A).

Authors:  R C Kessler; S Avenevoli; K A McLaughlin; J Greif Green; M D Lakoma; M Petukhova; D S Pine; N A Sampson; A M Zaslavsky; K Ries Merikangas
Journal:  Psychol Med       Date:  2012-01-25       Impact factor: 7.723

Review 7.  Annual research review: Optimal outcomes of child and adolescent mental illness.

Authors:  E Jane Costello; Barbara Maughan
Journal:  J Child Psychol Psychiatry       Date:  2014-12-12       Impact factor: 8.982

8.  Trajectories of Mental Health-Related Service Use Among Adolescents With Histories of Early Externalizing Problems.

Authors:  Yuko Okado; Emily Ewing; Christina Rowley; Damon E Jones
Journal:  J Adolesc Health       Date:  2017-04-21       Impact factor: 5.012

Review 9.  Comorbidity of anxiety and depression in children and adolescents: 20 years after.

Authors:  Colleen M Cummings; Nicole E Caporino; Philip C Kendall
Journal:  Psychol Bull       Date:  2013-11-11       Impact factor: 17.737

10.  The clinical characterization of the adult patient with depression aimed at personalization of management.

Authors:  Mario Maj; Dan J Stein; Gordon Parker; Mark Zimmerman; Giovanni A Fava; Marc De Hert; Koen Demyttenaere; Roger S McIntyre; Thomas Widiger; Hans-Ulrich Wittchen
Journal:  World Psychiatry       Date:  2020-10       Impact factor: 49.548

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.