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01-08-2008 | Empirical Research

Predicting Children’s Depressive Symptoms from Community and Individual Risk Factors

Auteurs: Danielle H. Dallaire, David A. Cole, Thomas M. Smith, Jeffrey A. Ciesla, Beth LaGrange, Farrah M. Jacquez, Ashley Q. Pineda, Alanna E. Truss, Amy S. Folmer

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 7/2008

Abstract

Community, demographic, familial, and personal risk factors of childhood depressive symptoms were examined from an ecological theoretical approach using hierarchical linear modeling. Individual-level data were collected from an ethnically diverse (73% African-American) community sample of 197 children and their parents; community-level data were obtained from the U.S. Census regarding rates of community poverty and unemployment in participants’ neighborhoods. Results indicated that high rates of community poverty and unemployment, children’s depressive attributional style, and low levels of self-perceived competence predict children’s depressive symptoms, even after accounting for demographic and familial risk factors, such as parental education and negative parenting behaviors. The effect of negative parenting behaviors on depressive symptoms was partially mediated by personal variables like children’s self-perceived competence. Recommendations for future research, intervention and prevention programs are discussed.

vorige artikel The Relation of Antisocial Behavior Patterns and Changes in Internalizing Symptoms for a Sample of Inner-city Youth: Comorbidity within a Developmental Framework

volgende artikel The Role of Perceived Parental Knowledge on Emerging Adults’ Risk Behaviors

Depressive attributional style per se is the risk factor, which like gender, ethnicity, poverty, etc. is not sufficient to cause depression, but does serve to increase risk. On these grounds, we believe we are justified in treating attributional style per se as a singular risk factor. Furthermore, our analysis of the attributional style by negative life events interaction with this same dataset reveals non-significant results up until age 14.

After testing the between community variance for the slope of each predictor variable and finding them to be non-significant, we fixed the variance of each to be zero, or the same across the communities in this sample.

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Titel: Predicting Children’s Depressive Symptoms from Community and Individual Risk Factors
Auteurs: Danielle H. Dallaire
David A. Cole
Thomas M. Smith
Jeffrey A. Ciesla
Beth LaGrange
Farrah M. Jacquez
Ashley Q. Pineda
Alanna E. Truss
Amy S. Folmer
Publicatiedatum: 01-08-2008
Uitgeverij: Springer US
Gepubliceerd in: Journal of Youth and Adolescence / Uitgave 7/2008
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI: https://doi.org/10.1007/s10964-008-9270-2

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