AUDIT‐C Scores as a Scaled Marker of Mean Daily Drinking, Alcohol Use Disorder Severity, and Probability of Alcohol Dependence in a U.S. General Population Sample of Drinkers
- 23 April 2013
- journal article
- Published by Wiley in Alcohol: Clinical and Experimental Research
- Vol. 37 (8), 1380-1390
- https://doi.org/10.1111/acer.12092
Abstract
Brief alcohol screening questionnaires are increasingly used to identify alcohol misuse in routine care, but clinicians also need to assess the level of consumption and the severity of misuse so that appropriate intervention can be offered. Information provided by a patient's alcohol screening score might provide a practical tool for assessing the level of consumption and severity of misuse. This post hoc analysis of data from the 2001 to 2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) included 26,546 U.S. adults who reported drinking in the past year and answered additional questions about their consumption, including Alcohol Use Disorders Identification Test-Consumption questionnaire (AUDIT-C) alcohol screening. Linear or logistic regression models and postestimation methods were used to estimate mean daily drinking, the number of endorsed alcohol use disorder (AUD) criteria ("AUD severity"), and the probability of alcohol dependence associated with each individual AUDIT-C score (1 to 12), after testing for effect modification by gender and age. Among eligible past-year drinkers, mean daily drinking, AUD severity, and the probability of alcohol dependence increased exponentially across increasing AUDIT-C scores. Mean daily drinking ranged from < 0.1 to 18.0 drinks/d, AUD severity ranged from < 0.1 to 5.1 endorsed AUD criteria, and probability of alcohol dependence ranged from < 1 to 65% across scores 1 to 12. AUD severity increased more steeply across AUDIT-C scores among women than men. Both AUD severity and mean daily drinking increased more steeply across AUDIT-C scores among younger versus older age groups. Results of this study could be used to estimate patient-specific consumption and severity based on age, gender, and alcohol screening score. This information could be integrated into electronic decision support systems to help providers estimate and provide feedback about patient-specific risks and identify those patients most likely to benefit from further diagnostic assessment.Keywords
This publication has 35 references indexed in Scilit:
- Alcohol Screening and Risk of Postoperative Complications in Male VA Patients Undergoing Major Non-cardiac SurgeryJournal of General Internal Medicine, 2010
- Brief Approaches to Alcohol Screening: Practical Alternatives for Primary CareJournal of General Internal Medicine, 2009
- A prospective study of risk drinking: At risk for what?Drug and Alcohol Dependence, 2008
- Effectiveness of the Derived Alcohol Use Disorders Identification Test (AUDIT-C) in Screening for Alcohol Use Disorders and Risk Drinking in the US General PopulationAlcohol: Clinical and Experimental Research, 2005
- Quantifying the Risks Associated With Exceeding Recommended Drinking LimitsAlcohol: Clinical and Experimental Research, 2005
- A meta-analysis of alcohol consumption and the risk of 15 diseasesPreventive Medicine, 2004
- Using Alcohol Screening Results and Treatment History to Assess the Severity of At‐Risk Drinking in Veterans Affairs Primary Care PatientsAlcohol: Clinical and Experimental Research, 2004
- The AUDIT Alcohol Consumption Questions: Reliability, Validity, and Responsiveness to Change in Older Male Primary Care PatientsAlcohol: Clinical and Experimental Research, 1998
- The AUDIT Alcohol Consumption Questions (AUDIT-C)An Effective Brief Screening Test for Problem DrinkingArchives of Internal Medicine, 1998
- Volume of ethanol consumption: effects of different approaches to measurement.Journal of Studies on Alcohol, 1998