Association between alcohol screening scores and mortality in black, Hispanic, and white male veterans.
Association between alcohol screening scores and mortality in black, Hispanic, and white male veterans.
复制标题
酒精筛查分数与黑人、西班牙裔和白人男性退伍军人死亡率之间的关联。
DOI：
10.1111/j.1530-0277.2012.01842.x
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Harris,AlexHS
中科院分区：
文献类型：
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作者：
Williams,EmilyC;Bradley,KatharineA;Gupta,Shalini;Harris,AlexHS
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.
