Racial differences in drinking motives, protective behavioral strategies (PBSs), alcohol consumption, and alcohol-related problems were examined among college student drinkers (N = 443: 296 [66.8%] White, 147 [33.3%] Black). Survey participants were recruited from large undergraduate sociology classes and residence halls at the university. Key differences between Black and White college students in drinking behaviors, reasons for drinking (i.e., motives), and the use of PBSs were observed. These racial differences have implications for the implementation of prevention/intervention programs intending to reduce alcohol consumption and alcohol-related problems among college students.
Recidivism, and the factors related to it, remains a highly significant concern among juvenile justice researchers, practitioners, and policy makers. Recent studies highlight the need to examine multiple measures of recidivism as well as conduct multilevel analyses of this phenomenon. Using data collected in a National Institute on Drug Abuse (NIDA)-funded Juvenile Justice-Translational Research on Interventions for Adolescents in the Legal System (JJ-TRIALS) cooperative agreement, we examined individual- and site-level factors related to 1-year recidivism among probation youth in 20 sites in five states to answer research questions related to how recidivism rates differ across sites and the relationships between individual-level variables and a county-level concentrated disadvantage measure and recidivism. Our findings of large site differences in recidivism rates, and complex relationships between individual and county-level predictors of recidivism, highlight the need for more nuanced, contextually informed, multilevel approaches in studying recidivism among juveniles.
The MASEP participants who were adherent with the intervention were significantly less likely to recidivate than those who were non-adherent. However, variance in the multi-component intervention completion rates suggests that the program resonates better with specific population subsets. We argue for researchers and policymakers to further explore how specific population subsets react to varying intervention programs to maximize efforts to reduce impaired driving.
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