Literature DB >> 30066577

Identifying At-Risk College Student Drinkers With the AUDIT-US: A Receiver Operating Characteristic Curve Analysis.

Michael B Madson1, Joshua W Schutts2, Hallie R Jordan1, Margo C Villarosa-Hurlocker1,3, Robert B Whitley1, Richard S Mohn1.   

Abstract

The Alcohol Use Disorders Identification Test (AUDIT) is the gold standard screening measure. Recently, there has been increasing call to update the measure to reflect harmful drinking standards in the United States. The purpose of this study was to use receiver operating characteristic curve analysis to evaluate the AUDIT and the United States version (AUDIT-US). Participants were 382 traditional age (M = 20.2, SD = 1.5) college students (68.7% female, 64.9% White) who had consumed alcohol at least once in the 30 days prior to participating. Although results provide evidence for the AUDIT and the AUDIT-US as valid screening tools, the Consumption subscale of the AUDIT-US performed the best in predicting at-risk college drinkers. The Consumption subscale of the AUDIT-US with a single cutoff score of four appears to be the optimal and most parsimonious method of identifying at-risk college drinkers.

Entities:  

Keywords:  Alcohol Use Disorders Identification Test; at-risk drinking; college students; screening

Mesh:

Year:  2018        PMID: 30066577      PMCID: PMC7163156          DOI: 10.1177/1073191118792091

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  16 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
Journal:  Drug Alcohol Depend       Date:  2012-06-22       Impact factor: 4.492

2.  Index for rating diagnostic tests.

Authors:  W J YOUDEN
Journal:  Cancer       Date:  1950-01       Impact factor: 6.860

3.  Screening, Brief Intervention and Referral to Treatment: implications of SAMHSA's SBIRT initiative for substance abuse policy and practice.

Authors:  Thomas F Babor; Frances Del Boca; Jeremy W Bray
Journal:  Addiction       Date:  2017-02       Impact factor: 6.526

4.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

5.  Optimizing the use of the AUDIT for alcohol screening in college students.

Authors:  Kelly S Demartini; Kate B Carey
Journal:  Psychol Assess       Date:  2012-05-21

6.  The utility of a gender-specific definition of binge drinking on the AUDIT.

Authors:  Janine V Olthuis; Byron L Zamboanga; Lindsay S Ham; Kathryne Van Tyne
Journal:  J Am Coll Health       Date:  2011

7.  Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II.

Authors:  J B Saunders; O G Aasland; T F Babor; J R de la Fuente; M Grant
Journal:  Addiction       Date:  1993-06       Impact factor: 6.526

8.  Mental health of college students and their non-college-attending peers: results from the National Epidemiologic Study on Alcohol and Related Conditions.

Authors:  Carlos Blanco; Mayumi Okuda; Crystal Wright; Deborah S Hasin; Bridget F Grant; Shang-Min Liu; Mark Olfson
Journal:  Arch Gen Psychiatry       Date:  2008-12

Review 9.  Standardized measures of alcohol-related problems: a review of their use among college students.

Authors:  Loraine Devos-Comby; James E Lange
Journal:  Psychol Addict Behav       Date:  2008-09

Review 10.  The burden of alcohol use: excessive alcohol consumption and related consequences among college students.

Authors:  Aaron White; Ralph Hingson
Journal:  Alcohol Res       Date:  2013
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  3 in total

1.  Screening for alcohol use disorders in college student drinkers with the AUDIT and the USAUDIT: a receiver operating characteristic curve analysis.

Authors:  Margo C Villarosa-Hurlocker; Joshua W Schutts; Michael B Madson; Hallie R Jordan; Robert B Whitley; Richard C Mohn
Journal:  Am J Drug Alcohol Abuse       Date:  2020-03-16       Impact factor: 3.829

2.  Relationships between Perceived Stress, Depression and Alcohol Use Disorders in University Students during the COVID-19 Pandemic: A Socio-Economic Dimension.

Authors:  Beata Gavurova; Viera Ivankova; Martin Rigelsky
Journal:  Int J Environ Res Public Health       Date:  2020-11-28       Impact factor: 3.390

3.  Risk factors for hazardous drinking in university students from South Africa and Belgium: a cross-cultural comparison study.

Authors:  Yasemin Inaç; Ynke Larivière; Muhammad Hoque; Guido Van Hal
Journal:  Afr Health Sci       Date:  2021-03       Impact factor: 0.927

  3 in total

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