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A meta-analysis on racial discrimination and alcohol use among Asian Americans.

Melissa A. Liu,Taylor Fox,Michelle Salyers,Tamika C. B. Zapolski,M. Cyders

Published 2024 in Alcohol, clinical & experimental research

ABSTRACT

BACKGROUND Racial discrimination has been identified as a contributing risk factor for alcohol use among racially minoritized individuals. The aims of this study were to quantify the relationship between racial discrimination and alcohol use among Asian Americans, examine gender, age and generational status as moderators, and characterize ethnic group representation across the literature. METHODS A systematic literature search was conducted using PsycINFO, CINAHL, Web of Science, PubMed, Embase, and OpenDissertations. A random effects model using Pearson's r effect sizes was conducted on separate alcohol outcomes. Meta-regression analyses tested for moderating effects, and heterogeneity was examined by identifying outliers and subgroup differences. Risk of bias was assessed using a funnel plot and Egger's regression test. RESULTS Twenty-two effect sizes were extracted from 18 studies, representing 8926 participants. A significant positive association was found between racial discrimination and alcohol consumption (k = 9, r = 0.13, 95% CI = [0.07, 0.19], I2 = 80.7%, p = 0.002) and problematic alcohol use (k = 12, r = 0.27, 95% CI = [0.12, 0.40] I2 = 93.7%, p = 0.002), but not binge use (k = 3, r = 0.08, 95% CI = [-0.49, 0.60], I2 = 95.0%, p = 0.64). Age, gender, and generational status were not significant moderators (p's > 0.10). When ethnic groups were reported, Chinese Americans were most represented (36.9%), while Indian Americans were notably underrepresented (1.18%). CONCLUSIONS There is a small positive association between racial discrimination and alcohol consumption and problematic alcohol use among Asian Americans. Research should seek to fill gaps identified by this review, including the dearth of longitudinal work needed to establish temporal precedence, the limited understanding of racial discrimination on binge use and underrepresented ethnic groups in this field of research, and reducing heterogeneity between studies.

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