Literature DB >> 28970061

Health-Risk Behavior Profiles and Reciprocal Relations With Depressive Symptoms From Adolescence to Young Adulthood.

Jing Yu1, Diane L Putnick2, Charlene Hendricks2, Marc H Bornstein2.   

Abstract

PURPOSE: We examined co-occurrences of multiple health-risk behaviors among adolescents in a 5-year longitudinal design as well as their associations with mental health outcomes.
METHODS: Latent transition analyses explored subgroups of adolescents (N = 229; 51% males) who engaged in distinct patterns of health-risk behaviors and transitions over time. Moreover, longitudinal relations between risk behavior profiles and depressive symptoms were also explored.
RESULTS: We identified four latent profiles based on risk levels of safety and violence, sexual behavior, alcohol use, and marijuana and other drug use at both 18 years and 23 years: low risk, modest risk, medium risk, and high risk. Some adolescents maintained their latent profile membership over time, but more transitioned between risk profiles. Adolescents with more depressive symptoms had a higher probability of developing into the high-risk versus low-risk and modest risk profiles at 23 years. Adolescents in the high-risk, low-risk, and modest risk profiles at 18 years developed more depressive symptoms in young adulthood compared with medium risk adolescents.
CONCLUSIONS: This study provides a better understanding of the prevalence, distribution, and change patterns of health-risk profiles across adolescence and young adulthood in a European American sample. Reciprocal relations between high-risk profiles and depressive symptoms suggest the need for integrated but tailored prevention and intervention programs. Published by Elsevier Inc.

Entities:  

Keywords:  Depressive symptoms; Latent transition analysis; Risk behavior profiles

Mesh:

Year:  2017        PMID: 28970061      PMCID: PMC5701859          DOI: 10.1016/j.jadohealth.2017.07.002

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  27 in total

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