Background: The AUDIT-C is an extensively validated screen for unhealthy alcohol use (i.e. drinking above recommended limits or alcohol use disorder), which consists of three questions about alcohol consumption. AUDIT-C scores ≥4 points for men and ≥3 for women are considered positive screens based on US validation studies that compared the AUDIT-C to "gold standard" measures of unhealthy alcohol use from independent, detailed interviews. However, results of screening--positive or negative based on AUDIT-C scores--can be inconsistent with reported drinking on the AUDIT-C questions. For example, individuals can screen positive based on the AUDIT-C score while reporting drinking below US recommended limits on the same AUDIT-C. Alternatively, they can screen negative based on the AUDIT-C score while reporting drinking above US recommended limits. Such inconsistencies could complicate interpretation of screening results, but it is unclear how often they occur in practice.
Methods: This study used AUDIT-C data from respondents who reported past-year drinking on one of two national US surveys: a general population survey (N = 26,610) and a Veterans Health Administration (VA) outpatient survey (N = 467,416). Gender-stratified analyses estimated the prevalence of AUDIT-C screen results--positive or negative screens based on the AUDIT-C score--that were inconsistent with reported drinking (above or below US recommended limits) on the same AUDIT-C.
Results: Among men who reported drinking, 13.8% and 21.1% of US general population and VA samples, respectively, had screening results based on AUDIT-C scores (positive or negative) that were inconsistent with reported drinking on the AUDIT-C questions (above or below US recommended limits). Among women who reported drinking, 18.3% and 20.7% of US general population and VA samples, respectively, had screening results that were inconsistent with reported drinking.
Limitations: This study did not include an independent interview gold standard for unhealthy alcohol use and therefore cannot address how often observed inconsistencies represent false positive or negative screens.
Conclusions: Up to 21% of people who drink alcohol had alcohol screening results based on the AUDIT-C score that were inconsistent with reported drinking on the same AUDIT-C. This needs to be addressed when training clinicians to use the AUDIT-C.
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http://dx.doi.org/10.1186/1940-0640-9-2 | DOI Listing |
Addiction
January 2025
Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Background And Aims: Primary care systems often screen for unhealthy alcohol use with brief self-report tools such as the 3-item Alcohol Use Disorders Identification Test for consumption (AUDIT-C). There is little research examining whether change in alcohol use measured on the AUDIT-C captures meaningful change in outcomes affected by alcohol use. This study aimed to measure the association between change in AUDIT-C and change in all-cause hospitalization risk, measured in the year after each AUDIT-C.
View Article and Find Full Text PDFJ Clin Med
December 2024
Nottingham Digestive Diseases Biomedical Research Centre (NDDC), School of Medicine, University of Nottingham, Nottingham NG7 2GT, UK.
Excessive alcohol consumption is among the leading causes of hospitalisation in high-income countries and contributes to over 200 medical conditions. We aimed to determine the prevalence and characteristics of alcohol use disorder (AUD), describe the distribution of AUD in ICD-10 discharge diagnosis groups and ascertain any relationship between them in secondary care. The study group was a retrospective cohort of adult patients admitted to Nottingham University Hospital (NUH) between 4 April 2009 and 31 March 2020.
View Article and Find Full Text PDFFront Public Health
December 2024
Service Universitaire d'Addictologie de Lyon (SUAL), Le Vinatier Psychiatrie Universitaire Lyon Métropole, Bron, France.
Background: Dry January is a one-month alcohol abstinence challenge for the general population running since 2013 in the United Kingdom, and 2020 in France. Dry January has gained increasing popularity among the public, but studies assessing the individual characteristics associated with awareness and participation remain sparse.
Methods: Using quota sampling, a representative sample of 5,000 French adults completed an online cross-sectional survey between 8 and 17th January 2024.
J Gen Intern Med
December 2024
Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Background: Screening and brief intervention (BI) can reduce risky alcohol use but has not been widely implemented in primary care settings. We sought to implement a screening and telephone-based program within a Federally Qualified Health Center (FQHC).
Design: Prior to this program, adult patients were routinely screened using AUDIT-C with no further systematic follow-up.
Alcohol Clin Exp Res (Hoboken)
January 2025
Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
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