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Profiles of psychosocial and clinical functioning in adolescence and risk for later depression and other outcomes

Published online by Cambridge University Press:  29 August 2019

Thomas M. Olino Open the ORCID record for Thomas M. Olino [Opens in a new window] ,
Daniel N. Klein  and
John R. Seeley
Thomas M. Olino*
Affiliation:
Department of Psychology, Temple University, Weiss Hall, Philadelphia, PA19122, USA
Daniel N. Klein
Affiliation:
Stony Brook University, Stony Brook, NY, USA
John R. Seeley
Affiliation:
University of Oregon & Oregon Research Institute, Eugene, OR, USA
*
Author for correspondence: Thomas M. Olino, E-mail: thomas.olino@temple.edu
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Abstract

Background

Most studies examining predictors of the onset of depression focus on variable centered regression methods that focus on the effects of multiple predictors. In contrast, person-centered approaches develop profiles of factors and these profiles can be examined as predictors of onset. Here, we developed profiles of adolescent psychosocial and clinical functioning among adolescents without a history of major depression.

Methods

Data come from a subsample of participants from the Oregon Adolescent Depression Project who completed self-report measures of functioning in adolescence and completed diagnostic and self-report measures at follow-up assessments up to approximately 15 years after baseline.

Results

We identified four profiles of psychosocial and clinical functioning: Thriving; Average Functioning; Externalizing Vulnerability and Family Stress and Internalizing Vulnerability at the baseline assessment of participants without a history of depression at the initial assessment in mid-adolescence. Classes differed in the likelihood of onset and course of depressive disorders, experience of later anxiety and substance use disorders, and psychosocial functioning in adulthood. Moreover, the predictive utility of these classes was maintained when controlling for multiple other established risk factors for depressive disorders.

Conclusions

This work highlights the utility of examining multiple factors simultaneously to understand risk for depression.

Keywords

Depression risklatent profilespsychosocial functioning
Type
Original Articles
Information
Psychological Medicine , Volume 50 , Issue 12 , September 2020 , pp. 2066 - 2074
Copyright
Copyright © Cambridge University Press 2019

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