Differential predictors for alcohol use in adolescents as a function of familial risk
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Abstract: Traditional models of future alcohol use in adolescents have used variable-centered approaches, predicting alcohol use from a set of variables across entire samples or populations. Following the proposition that predictive factors may vary in adolescents as a function of family history, we used a two-pronged approach by first defining clusters of familial risk, followed by prediction analyses within each cluster. Thus, for the first time in adolescents, we tested whether adolescents with a family history of drug abuse exhibit a set of predictors different from adolescents without a family history. We apply this approach to a genetic risk score and individual differences in personality, cognition, behavior (risk-taking and discounting) substance use behavior at age 14, life events, and functional brain imaging, to predict scores on the alcohol use disorders identification test (AUDIT) at age 14 and 16 in a sample of adolescents (N = 1659 at baseline, N = 1327 at follow-up) from the IMAGEN cohort, a longitudinal community-based cohort of adolescents. In the absence of familial risk (n = 616), individual differences in baseline drinking, personality measures (extraversion, negative thinking), discounting behaviors, life events, and ventral striatal activation during reward anticipation were significantly associated with future AUDIT scores, while the overall model explained 22% of the variance in future AUDIT. In the presence of familial risk (n = 711), drinking behavior at age 14, personality measures (extraversion, impulsivity), behavioral risk-taking, and life events were significantly associated with future AUDIT scores, explaining 20.1% of the overall variance. Results suggest that individual differences in personality, cognition, life events, brain function, and drinking behavior contribute differentially to the prediction of future alcohol misuse. This approach may inform more individualized preventive interventions.
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Deutsche Forschungsgemeinschaft (German Research Foundation) (TRR 265, TRR 265, TRR 265, SFB 940, TRR 265, SFB 940, TRR 265)
RCUK | Medical Research Council (MRC) (MR/R00465X/1, MR/N000390/1, MR/R00465X/1)
EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) (695313, 695313, 695313, 695313)
Agence Nationale de la Recherche (French National Research Agency) (AF12-NEUR0008-01-WM2NA, ANR-18-NEUR00002-01-ADORe, AAPG2019 - GeBra)
Fondation de France (00081242)
Fondation pour la Recherche Médicale (Foundation for Medical Research in France) (DPA20140629802)
Fondation de l'Avenir pour la Recherche Médicale Appliquée (Fondation de l'Avenir) (AP-RM-17-013)
EC | Seventh Framework Programme (EC Seventh Framework Programm) (PR-ST-0416-10004, PR-ST-0416-10004, PR-ST-0416-10004)
Science Foundation Ireland (SFI) (16/ERCD/3797)
EC | Sixth Framework Programme (EC Sixth Framework Programme) (LSHM-CT-2007-037286)
U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) (R01DA049238)