BACKGROUND: The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) is a brief validated screen for risky drinking and alcohol abuse and dependence (alcohol misuse). However, the AUDIT-C was validated in predominantly White populations, and its performance in different racial/ethnic groups is unclear. OBJECTIVE: To evaluate the validity of the AUDIT-C among primary care patients from the predominant racial/ethnic subgroups within the United States: White, African American, and Hispanic. DESIGN: Cross-sectional interview validation study. PARTICIPANTS: 1,292 outpatients from an academic family practice clinic in Texas (90% of randomly sampled eligible). MEASUREMENTS AND MAIN RESULTS: Race/ethnicity was self-reported. Areas under the receiver operating curve (AuROCs) evaluated overall AUDIT-C performance in the 3 racial/ethnic groups compared to diagnostic interviews for alcohol misuse. AUDIT-C sensitivities and specificities at recommended screening thresholds were compared across racial/ethnic groups. AuROCs were greater than 0.85 in all 3 groups, with no significant differences across racial/ethnic groups in men (P = .43) or women (P = .12). At previously recommended cut points, there were statistically significant differences by race in AUDIT-C sensitivities but not specificities. In women, the sensitivity was higher in Hispanic (85%) than in African-American (67%; P = .03) or White (70%; P = .04) women. In men, the sensitivity was higher in White (95%) than in African-American men (76%; P = .01), with no significant difference from Hispanic men (85%; P = .11). CONCLUSIONS: The overall performance of the AUDIT-C was excellent in all 3 racial/ethnic groups as reflected by high AuROCs. At recommended cut points, there were significant differences in the AUDIT-C's sensitivity but not in specificity across the 3 racial/ethnic groups.
BACKGROUND: The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) is a brief validated screen for risky drinking and alcohol abuse and dependence (alcohol misuse). However, the AUDIT-C was validated in predominantly White populations, and its performance in different racial/ethnic groups is unclear. OBJECTIVE: To evaluate the validity of the AUDIT-C among primary care patients from the predominant racial/ethnic subgroups within the United States: White, African American, and Hispanic. DESIGN: Cross-sectional interview validation study. PARTICIPANTS: 1,292 outpatients from an academic family practice clinic in Texas (90% of randomly sampled eligible). MEASUREMENTS AND MAIN RESULTS: Race/ethnicity was self-reported. Areas under the receiver operating curve (AuROCs) evaluated overall AUDIT-C performance in the 3 racial/ethnic groups compared to diagnostic interviews for alcohol misuse. AUDIT-C sensitivities and specificities at recommended screening thresholds were compared across racial/ethnic groups. AuROCs were greater than 0.85 in all 3 groups, with no significant differences across racial/ethnic groups in men (P = .43) or women (P = .12). At previously recommended cut points, there were statistically significant differences by race in AUDIT-C sensitivities but not specificities. In women, the sensitivity was higher in Hispanic (85%) than in African-American (67%; P = .03) or White (70%; P = .04) women. In men, the sensitivity was higher in White (95%) than in African-American men (76%; P = .01), with no significant difference from Hispanic men (85%; P = .11). CONCLUSIONS: The overall performance of the AUDIT-C was excellent in all 3 racial/ethnic groups as reflected by high AuROCs. At recommended cut points, there were significant differences in the AUDIT-C's sensitivity but not in specificity across the 3 racial/ethnic groups.
Authors: Katharine A Bradley; Daniel R Kivlahan; Xiao-Hua Zhou; Jennifer L Sporleder; Amee J Epler; Kinsey A McCormick; Joseph O Merrill; Mary B McDonell; Stephan D Fihn Journal: Alcohol Clin Exp Res Date: 2004-03 Impact factor: 3.455
Authors: Katharine A Bradley; Anna F DeBenedetti; Robert J Volk; Emily C Williams; Danielle Frank; Daniel R Kivlahan Journal: Alcohol Clin Exp Res Date: 2007-04-19 Impact factor: 3.455
Authors: Katharine A Bradley; Kristen R Bush; Amee J Epler; Dorcas J Dobie; Tania M Davis; Jennifer L Sporleder; Charles Maynard; Marcia L Burman; Daniel R Kivlahan Journal: Arch Intern Med Date: 2003-04-14
Authors: Evelyn P Whitlock; Michael R Polen; Carla A Green; Tracy Orleans; Jonathan Klein Journal: Ann Intern Med Date: 2004-04-06 Impact factor: 25.391
Authors: Jennifer C Elliott; Lacey Critchley; Daniel J Feaster; Deborah S Hasin; Raul N Mandler; Georgina Osorio; Allan E Rodriguez; Carlos Del Rio; Lisa R Metsch Journal: Drug Alcohol Depend Date: 2019-06-05 Impact factor: 4.492
Authors: Jessica A Chen; Joseph E Glass; Kara M K Bensley; Simon B Goldberg; Keren Lehavot; Emily C Williams Journal: J Subst Abuse Treat Date: 2020-07-15
Authors: David B Bekelman; Stephanie Hooker; Carolyn T Nowels; Deborah S Main; Paula Meek; Connor McBryde; Brack Hattler; Karl A Lorenz; Paul A Heidenreich Journal: J Palliat Med Date: 2013-12-11 Impact factor: 2.947
Authors: Shahram Lotfipour; James Howard; Samer Roumani; Wirachin Hoonpongsimanont; Bharath Chakravarthy; Craig L Anderson; Jie W Weiss; Victor Cisneros; Brad Dykzeul Journal: J Emerg Med Date: 2013-01-12 Impact factor: 1.484
Authors: Kathleen A McGinnis; Janet P Tate; Emily C Williams; Melissa Skanderson; Kendall J Bryant; Adam J Gordon; Kevin L Kraemer; Stephen A Maisto; Steven Crystal; David A Fiellin; Amy C Justice Journal: Drug Alcohol Depend Date: 2016-09-22 Impact factor: 4.492
Authors: Kara M Bensley; John Fortney; Gary Chan; Julia C Dombrowski; India Ornelas; Anna D Rubinsky; Gwen T Lapham; Joseph E Glass; Emily C Williams Journal: J Rural Health Date: 2019-01-31 Impact factor: 4.333