Literature DB >> 26748606

Latent class profiles of depressive symptoms from early to middle childhood: predictors, outcomes, and gender effects.

Diana J Whalen1, Joan L Luby1, Rebecca Tilman1, Anissa Mike2, Deanna Barch1,2, Andy C Belden1.   

Abstract

BACKGROUND: There has been little available data to inform the predictors and outcomes of latent class trajectories of depressive symptoms beginning during preschool and continuing throughout school age. Further, the extant literature in this domain has been limited by the use of parent report checklists of nonspecific 'internalizing' psychopathology rather than diagnostic interviews for depression.
METHODS: To address these gaps in the literature, this study applied growth mixture modeling to depressive symptom severity endorsed by children and/or their caregivers (N = 348) during a structured clinical interview in a 10-year longitudinal dataset spanning from preschool into late school age.
RESULTS: Three distinct trajectories of depressive symptom severity were found in boys and girls. For boys, but not girls, the high depression severity latent class increased in depressive symptoms from preschool through school age, followed by a decline in depressive symptom severity during later school age. For girls, the high depression severity latent class remained stable across time. Early childhood social adversity, familial history of affective disorder, preschool-onset ODD/CD, and school age functional impairment differentiated high-risk trajectory classes among both boys and girls.
CONCLUSIONS: Extending the literature on trajectories of depressive symptoms to the preschool period, these findings incorporate structured clinical interviews of depressive symptom severity and indicate gender differences as well as psychosocial predictors and functional outcomes among children in high severity latent classes. The findings from this study suggest that increased attention to screening for depressive symptoms in early childhood is of significant public health importance.
© 2016 Association for Child and Adolescent Mental Health.

Entities:  

Keywords:  Depression; childhood; growth mixture modeling; longitudinal

Mesh:

Year:  2016        PMID: 26748606      PMCID: PMC4914408          DOI: 10.1111/jcpp.12518

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  32 in total

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3.  Parent psychopathology and youth internalizing symptoms in an urban community: a latent growth model analysis.

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Review 10.  The Child and Adolescent Psychiatric Assessment (CAPA).

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9.  Intergenerational Continuity in Depression: The Importance of Time-Varying Effects, Maternal Co-morbid Health Risk Behaviors and Child's Gender.

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