Literature DB >> 29533846

Adolescent precursors of young adult drinking motives.

Rebecca C Windle1, Michael Windle2.   

Abstract

INTRODUCTION: Numerous cross-sectional and shorter-term longitudinal studies have supported the role of drinking motives as potent proximal predictors of alcohol phenotypes (e.g., alcohol use, heavy episodic drinking). However, missing from this literature is a focus both on the stability of drinking motives across young adulthood and on adolescent precursors of drinking motives.
METHODS: We investigated the adequacy of using a latent trait-state model (LTSM) to investigate three-wave data on social, enhancement, and coping motives for drinking with a community sample of young adults (N = 1004) at the mean ages of 23.8 years, 28.9 years, and 33.5 years. We further investigated adolescent (M age = 16.73 years) predictors of young adult drinking motives using data collected on the sample approximately seven years prior to the first young adult data collection.
RESULTS: Findings indicated that all three drinking motives across young adulthood were modeled adequately via the LTSM, and that drinking motives manifested high stability (i.e., rank order) across individuals. Significant common (e.g., being male, alcohol-using peers, stressful life events, boredom susceptibility) and specific (e.g., depressive symptoms for coping motives; heavy episodic drinking for enhancement motives) adolescent precursors of young adult drinking motives were identified.
CONCLUSIONS: Common and unique adolescent factors predicted trait-like drinking motives during young adulthood. These findings suggest the utility of intervening during the teen years to prevent or interrupt the development of cognitive motivations that encourage alcohol use for the purpose of affect regulation.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29533846      PMCID: PMC5879015          DOI: 10.1016/j.addbeh.2018.03.002

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


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