Binge drinking in American Indian Alaskan Native college attending students.

OBJECTIVES

American Indian and Alaskan Native (AIAN) populations have the highest rate of alcohol use disorder (AUD). Binge drinking is a known predecessor of AUD and is prevalent in college-attending populations. However, little is known about the prevalence and risk factors related to AIAN college student binge drinking. The current study examines prevalence of binge drinking and association with socio-demographic features, other substance use, exposure to discrimination and feelings of belonging within collegiate institutions.

DESIGN

Data were collected by the Healthy Minds Study. Present analyses were restricted to 2- and 4-year college attending students in the 2021-2022 academic year who identified as AIAN (n = 1383). We used descriptive, bivariate and multivariate Poisson weighted models to evaluate distributions and associations of binge drinking, age, gender, socioeconomic status, degree program, military experience, substance use, sexual assault, discrimination, and feelings of belonging within the institution.

RESULTS

In the prior 2 weeks, 26.3% of AIAN students reported binge drinking. Binge drinking commonly overlapped with other substance use. AIAN students aged 21-34 reported the highest rates of binge drinking, as did students pursuing bachelor's degrees. AIAN students who identified as trans or queer gender were less likely to report binge drinking, while across gender identities those reporting sexual assault or racial discrimination were more likely to report binge drinking in multivariate analyses.

CONCLUSION

There are multiple factors associated with binge drinking, representing individual and contextual influences on AIAN students. Developing prevention and intervention activities to address overlap in substance use and high concurrence of sexual assault and binge drinking are critical. Additionally, colleges must make concerted efforts to reduce racial discrimination and be more inclusive of AIAN students to reduce institutional-based features that exacerbate risk.