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Reciprocal associations between early adolescent antisocial behavior and depressive symptoms: a longitudinal study in Victoria, Australia and Washington State, United States
journal contribution
posted on 2019-05-01, 00:00 authored by J A Heerde, Ashlee CurtisAshlee Curtis, J A Bailey, R Smith, S A Hemphill, John ToumbourouJohn ToumbourouPurpose: Reciprocal prospective associations between adolescent antisocial behavior and depressive symptoms were examined. Methods: Seventh grade students (average age 13 years; N = 2314/2348) were surveyed (T1), and then followed-up 12 (T2) and 24 months (T3) later, using the same methods in Washington State, United States 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 = 0.96), age (IRR = 0.97), 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.
History
Journal
Journal of criminal justiceVolume
62Season
May-JunePagination
74 - 86Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
0047-2352Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2018, ElsevierUsage metrics
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