Literature DB >> 11430849

Comorbidity of depression in children and adolescents: models and evidence from a prospective high-risk family study.

S Avenevoli1, M Stolar, J Li, L Dierker, K Ries Merikangas.   

Abstract

Despite abundant research demonstrating the magnitude of comorbidity and its importance in understanding childhood psychopathology, there has been limited empirical research designed to examine the nature and causes of comorbidity among youth. This article reviews the current literature on the magnitude and mechanisms of depressive comorbidity and presents data to exemplify the application of high-risk and longitudinal study designs to investigate patterns and explanations for comorbidity. A prospective family study of offspring at high and low risk for the development of anxiety was used to examine the specificity of familial comorbidity of depression and anxiety and the longitudinal stability of "pure" and comorbid disorders over an 8-year period. Findings suggest some specificity of familial expression, as well as longitudinal specificity, of depression and anxiety. The onset of depression follows the onset of most anxiety subtypes, suggesting the sequential nature of depressive comorbidity. Evaluation of mechanisms for comorbidity is important for the identification of homogeneous syndrome categories that will inform research designed to gain understanding of the pathogenesis of mood or anxiety disorders.

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Year:  2001        PMID: 11430849     DOI: 10.1016/s0006-3223(01)01142-8

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  36 in total

1.  Comorbidity of Anxiety and Depression in Youth: Implications for Treatment and Prevention.

Authors:  Judy Garber; V Robin Weersing
Journal:  Clin Psychol (New York)       Date:  2010-12

2.  Dynamic temporal relations between anxious and depressive symptoms across adolescence.

Authors:  Chrystyna D Kouros; Susanna Quasem; Judy Garber
Journal:  Dev Psychopathol       Date:  2013-08

3.  Prospective predictors of first-onset depressive disorders in adolescent females with anxiety disorders.

Authors:  Estee M Hausman; Roman Kotov; Greg Perlman; Greg Hajcak; Ellen M Kessel; Daniel N Klein
Journal:  J Affect Disord       Date:  2018-04-05       Impact factor: 4.839

4.  Anxiety in children with mood disorders: a treatment help or hindrance?

Authors:  Colleen M Cummings; Mary A Fristad
Journal:  J Abnorm Child Psychol       Date:  2012-04

5.  Why are anxiety and depressive symptoms comorbid in youth? A multi-wave, longitudinal examination of competing etiological models.

Authors:  Joseph R Cohen; Jami F Young; Brandon E Gibb; Benjamin L Hankin; John R Z Abela
Journal:  J Affect Disord       Date:  2014-03-13       Impact factor: 4.839

Review 6.  Understanding comorbidity among internalizing problems: Integrating latent structural models of psychopathology and risk mechanisms.

Authors:  Benjamin L Hankin; Hannah R Snyder; Lauren D Gulley; Tina H Schweizer; Patricia Bijttebier; Sabine Nelis; Gim Toh; Michael W Vasey
Journal:  Dev Psychopathol       Date:  2016-11

7.  Neural correlates of rumination in adolescents with remitted major depressive disorder and healthy controls.

Authors:  Katie L Burkhouse; Rachel H Jacobs; Amy T Peters; Olu Ajilore; Edward R Watkins; Scott A Langenecker
Journal:  Cogn Affect Behav Neurosci       Date:  2017-04       Impact factor: 3.282

Review 8.  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

9.  Rumination and depression in adolescence: investigating symptom specificity in a multiwave prospective study.

Authors:  Benjamin L Hankin
Journal:  J Clin Child Adolesc Psychol       Date:  2008-10

Review 10.  Characteristics, correlates, and outcomes of childhood and adolescent depressive disorders.

Authors:  Uma Rao; Li-Ann Chen
Journal:  Dialogues Clin Neurosci       Date:  2009       Impact factor: 5.986

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