Reciprocal Associations Between Early Adolescent Antisocial Behavior and Depressive Symptoms: A Longitudinal Study in Victoria, Australia and Washington State, United States

Overview

Journal J Crim Justice

Date 2019 Aug 3

PMID 31371840

Citations 1

Authors

Jessica A Heerde

Ashlee Curtis

Jennifer A Bailey

Rachel Smith

Sheryl A Hemphill

John W Toumbourou

Affiliations

Soon will be listed here.

Abstract

Purpose: Reciprocal prospective associations between adolescent antisocial behavior and depressive symptoms were examined.

Methods: Seventh grade students (average age 13 years; N=2,314/2,348) were surveyed (T1), and then followed-up 12 (T2) and 24 months (T3) later, using the same methods in Washington State and Victoria, Australia.

Results: Negative binomial regressions showed antisocial behavior (T1, T2) did not prospectively predict depressive symptoms (T2, T3). T1 multivariate predictors for T2 depressive symptoms included female gender (incident rate ratio [IRR] = 1.70), prior depressive symptoms (IRR = 1.06), alcohol use (IRR = 1.13), family conflict (IRR = 1.13), antisocial peers (IRR = 1.08) and bullying victimization (IRR = 1.06). Depressive symptoms (T1, T2) did not predict antisocial behavior (T2, T3). T1 multivariate predictors for T2 antisocial behavior included female gender (IRR = .96), age (IRR = .97), prior antisocial behavior (IRR = 1.32), alcohol use (IRR = 1.04), antisocial peers (IRR = 1.11) and academic failure (IRR = 1.03).

Conclusions: Depressive symptoms and antisocial behaviors showed considerable predictive stability in early adolescence but were not reciprocally related. Prevention and intervention strategies in adolescence may benefit by targeting common predictors such as alcohol, peer interactions and early symptoms for depression and antisocial behavior.

Citing Articles

Prospective Pathways to Depressive Symptoms and Disordered Eating in Adolescence: A 7-Year Longitudinal Cohort Study.

Lewis-Smith H, Bray I, Salmon D, Slater A J Youth Adolesc. 2020; 49(10):2060-2074.

PMID: 32728942 PMC: 7495991. DOI: 10.1007/s10964-020-01291-1.

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