Literature DB >> 16275207

The AUDIT-C: screening for alcohol use disorders and risk drinking in the presence of other psychiatric disorders.

Deborah A Dawson1, Bridget F Grant, Frederick S Stinson.   

Abstract

This article examines the performance of the AUDIT-C, as embedded in a large national survey, as a screener for alcohol use disorders (AUDs) and risk drinking among individuals with past-year psychopathology. The analysis is based on data collected in personal interviews from a representative population sample of US adults. The study population consisted of past-year drinkers with any past-year mood disorder (n = 2818), any past-year anxiety disorder (n = 3173), or any personality disorder (n = 4389). Screening performance was evaluated by means of sensitivity, specificity, and areas under receiver operating characteristic curves (AUCs). The AUCs for the AUDIT-C were from 0.888 to 0.893 for alcohol dependence, from 0.864 to 0.876 for any AUD, and from 0.941 to 0.951 for any AUD or risk drinking-all on a par with those observed in the general population. Among men, cut points of either > or =5 or > or =6 points (the former favoring sensitivity and the latter favoring specificity) were optimal for detecting dependence, and cut points of > or =5 points were optimal for any AUD and for any AUD or risk drinking. Among women, a cut point of > or =4 points was optimal for the outcomes of both alcohol dependence and any AUD, whereas a cut point of > or =3 points was preferable for detecting any AUD or risk drinking.

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Year:  2005        PMID: 16275207     DOI: 10.1016/j.comppsych.2005.01.006

Source DB:  PubMed          Journal:  Compr Psychiatry        ISSN: 0010-440X            Impact factor:   3.735


  51 in total

1.  Comparative performance of the AUDIT-C in screening for DSM-IV and DSM-5 alcohol use disorders.

Authors:  Deborah A Dawson; Sharon M Smith; Tulshi D Saha; Anna D Rubinsky; Bridget F Grant
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3.  Alcohol use disorders after bariatric surgery.

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4.  Mental health, sleep quality, drinking motives, and alcohol-related consequences: a path-analytic model.

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5.  Enhanced fidelity to treatment for bipolar disorder: results from a randomized controlled implementation trial.

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6.  Outcomes of home visits for pregnant mothers and their infants: a cluster randomized controlled trial.

Authors:  Ingrid M le Roux; Mark Tomlinson; Jessica M Harwood; Mary J O'Connor; Carol M Worthman; Nokwanele Mbewu; Jacqueline Stewart; Mary Hartley; Dallas Swendeman; W Scott Comulada; Robert E Weiss; Mary Jane Rotheram-Borus
Journal:  AIDS       Date:  2013-06-01       Impact factor: 4.177

7.  Correlates of Emergency Department Use by Individuals With Bipolar Disorder Enrolled in a Collaborative Care Implementation Study.

Authors:  Jeanette Waxmonsky; Lilia Verchinina; Hyungjin Myra Kim; Zongshan Lai; Daniel Eisenberg; Julia T Kyle; Kristina M Nord; Jenny H Rementer; David E Goodrich; Mark S Bauer; Marshall R Thomas; Amy M Kilbourne
Journal:  Psychiatr Serv       Date:  2016-06-01       Impact factor: 3.084

8.  Long-Term Clinical Outcomes from a Randomized Controlled Trial of Two Implementation Strategies to Promote Collaborative Care Attendance in Community Practices.

Authors:  Amy M Kilbourne; David E Goodrich; Kristina M Nord; Celeste Van Poppelen; Julia Kyle; Mark S Bauer; Jeanette A Waxmonsky; Zongshan Lai; Hyungjin M Kim; Daniel Eisenberg; Marshall R Thomas
Journal:  Adm Policy Ment Health       Date:  2015-09

9.  Gender differences in health-related quality of life in patients with bipolar disorder.

Authors:  Maria Syl D de la Cruz; Zongshan Lai; David E Goodrich; Amy M Kilbourne
Journal:  Arch Womens Ment Health       Date:  2013-04-16       Impact factor: 3.633

10.  Multiple risk factors during pregnancy in South Africa: the need for a horizontal approach to perinatal care.

Authors:  Mark Tomlinson; Mary J O'Connor; Ingrid M le Roux; Jacqueline Stewart; Nokwanele Mbewu; Jessica Harwood; Mary Jane Rotheram-Borus
Journal:  Prev Sci       Date:  2014-06
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