• Emily C Williams, Katharine A Bradley, Shalini Gupta, and Alex H S Harris.
• Northwest Center of Excellence for Health Services Research & Development (HSR&D), Veterans Affairs (VA) Puget Sound Health Care System, Seattle, Washington 98101, USA. emily.williams3@va.gov
• Alcohol. Clin. Exp. Res. 2012 Dec 1; 36 (12): 2132-40.

BackgroundScores on the Alcohol Use Disorders Identification Test Consumption (AUDIT-C) questionnaire are associated with mortality, but whether or how associations vary across race/ethnicity is unknown.MethodsSelf-reported black (n = 13,068), Hispanic (n = 9,466), and white (n = 182,688) male Veterans Affairs (VA) outpatients completed the AUDIT-C via mailed survey. Logistic regression models evaluated whether race/ethnicity modified the association between AUDIT-C scores (0, 1 to 4, 5 to 8, and 9 to 12) and mortality after 24 months, adjusting for demographics, smoking, and comorbidity.ResultsAdjusted mortality rates were 0.036, 0.033, and 0.054, for black, Hispanic, and white patients with AUDIT-C scores of 1 to 4, respectively. Race/ethnicity modified the association between AUDIT-C scores and mortality (p = 0.0022). Hispanic and white patients with scores of 0, 5 to 8, and 9 to 12 had significantly increased risk of death compared to those with scores of 1 to 4; Hispanic ORs: 1.93, 95% CI 1.50 to 2.49; 1.57, 1.07 to 2.30; 1.82, 1.04 to 3.17, respectively; white ORs: 1.34, 95% CI 1.29 to 1.40; 1.12, 1.03 to 1.21; 1.81, 1.59 to 2.07, respectively. Black patients with scores of 0 and 5 to 8 had increased risk relative to scores of 1 to 4 (ORs 1.28, 1.06 to 1.56 and 1.50, 1.13 to 1.99), but there was no significant increased risk for scores of 9 to 12 (ORs 1.27, 0.77 to 2.09). Post hoc exploratory analyses suggested an interaction between smoking and AUDIT-C scores might account for some of the observed differences across race/ethnicity.ConclusionsAmong male VA outpatients, associations between alcohol screening scores and mortality varied significantly depending on race/ethnicity. Findings could be integrated into systems with automated risk calculators to provide demographically tailored feedback regarding medical consequences of drinking.Copyright © 2012 by the Research Society on Alcoholism.

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