Objective: We examined the prevalence of risky alcohol and cannabis use among Brazilian varsity college athletes and whether this group had a greater likelihood of risky use than non-athletes. Methods: In 2009, Brazilian college students (n=12,711) were recruited for a national stratified random survey. Their sociodemographic characteristics, mental health, substance use, and participation in varsity sports were assessed. Binary logistic regression models were used to examine the association between varsity athlete status and moderate to high-risk alcohol and cannabis use. Results: Among varsity athletes, 67.6 and 10.7% reported risky alcohol and cannabis use, respectively. Varsity athletes had greater odds of risky alcohol consumption than non-athletes (aOR = 2.02, 95%CI 1.08-3.78). Varsity athletes also had greater odds of risky cannabis use than non-athletes in unadjusted analyses (OR = 2.57, 95%CI 1.05-6.28), although this relationship was attenuated after covariate adjustment. Conclusions: Among college students in Brazil, varsity athletes had a higher prevalence of risky alcohol and cannabis use than non-athletes. The rates were considerably higher than those observed among samples of U.S. college athletes. Future research should examine the use of these substances among varsity college athletes in other middle-income countries since these findings will likely guide prevention and treatment efforts.

Objective: To explore how a genetically-influenced characteristic (the level of response to alcohol [LR]), ethnicity, and sex relate to environmental and attitudinal characteristics (peer drinking [PEER], drinking to cope [COPE], and alcohol expectancies [EXPECT]) regarding future alcohol-related blackouts (ARBs). Methods: Structural equation models (SEMs) were used to evaluate how baseline variables related to ARB patterns in 462 college students over 55 weeks. Data were extracted from a longitudinal study of heavy drinking and its consequences at a U.S. university. Results: In the SEM analysis, female sex and Asian ethnicity directly predicted future ARBs (beta weights 0.10 and -0.11, respectively), while all other variables had indirect impacts on ARBs through alcohol quantities (beta weights ~ 0.23 for European American ethnicity and low LR, 0.21 for cannabis use and COPE, and 0.44 for PEER). Alcohol quantities then related to ARBs with beta = 0.44. The SEM explained 23% of the variance. Conclusion: These data may be useful in identifying college students who are more likely to experience future ARBs over a 1-year period. They enhance our understanding of whether the relationships of predictors to ARBs are direct or mediated through baseline drinking patterns, information that may be useful in prevention strategies for ARBs.