College students' use of strategies to hide facial flushing: A target for alcohol education.

OBJECTIVE: Alcohol-related facial flushing occurs in individuals who are unable to metabolize ethanol effectively and is associated with increased cancer risk. This study describes college students' understanding of the meaning of flushing for how much alcohol a person should drink and their use of over-the-counter medications and other strategies to reduce its visible effects. Participants: The sample includes 335 White and Asian college students who reported facial flushing after an alcoholic drink. Methods: Students completed an online survey in the spring of their junior year. Results: Most students reported that flushing had no special meaning for drinking or that they did not know what it meant. Six percent reported ever using strategies to hide facial flushing; they were mostly Asian, and those using these strategies drank more alcohol. Conclusions: Findings identify a need for targeted alcohol education with Asian college students who drink alcohol despite experiencing the flushing response.

Alcohol Metabolizing Polygenic Risk for Alcohol Consumption in European American College Students.

OBJECTIVE: Evidence suggests that the nature and magnitude of some genetic effects on alcohol use vary by age. We tested for moderation in the effect of an alcohol metabolizing polygenic score by time across the college years. METHOD: Participants (total n = 2,214) were drawn from three cohorts of undergraduate college students, who were assessed annually for up to 4 years starting in their freshman year. Polygenic risk scores (PRSs) were calculated from genes involved in the metabolism of alcohol, as many of these markers are among the best replicated in association studies examining alcohol use phenotypes. Linear mixed effects models were fit by maximum likelihood to test the main effects of time and the PRS on alcohol consumption, as well as moderation of the PRS effect on alcohol consumption by time. RESULTS: In the main effects model, the fixed effects for time and the PRS were positively associated with alcohol consumption. The interaction term testing moderation of the PRS effect by time reached statistical significance and remained statistically significant after other relevant interaction effects were controlled for. The main effect of the PRS accounted for 0.2% of the variance in alcohol consumption, whereas the interaction of PRS effect and time accounted for 0.05%. CONCLUSIONS: Alcohol metabolizing genetic effects on alcohol use appear to be more influential in later years of college than in earlier years. Shifting environmental contexts, such as increased access to alcohol as individuals approach the legal age to purchase alcohol, may account for this association.