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Binge drinking and its detection among middle-aged men using AUDIT, AUDIT-C and AUDIT-3
Mervi Tuunanen1, Mauri Aalto, Kaija Seppä
1Medical School, Department of General Practice, University of Tampere, Finland.
This study found that the Alcohol Use Disorders Identification Test (AUDIT) and its shorter versions effectively detect binge drinking in middle-aged men. Tailoring cut-off scores to specific cultures is recommended for accurate detection.
Area of Science:
- Public Health
- Epidemiology
- Addiction Research
Background:
- Binge drinking, also known as heavy episodic drinking, is a prevalent behavior with significant public health implications.
- Limited research exists on effective methods for detecting this specific drinking pattern, particularly in middle-aged populations.
Purpose of the Study:
- To compare the effectiveness of the complete Alcohol Use Disorders Identification Test (AUDIT) and two abbreviated versions (AUDIT-C and AUDIT-3) in identifying binge drinkers.
- To evaluate the diagnostic accuracy of these questionnaires in a population of middle-aged men.
Main Methods:
- A study was conducted in Tampere, Finland, involving 45-year-old men.
- Participants completed the full AUDIT questionnaire.
- Men were categorized into drinker groups (non-binging moderate, binging moderate, non-binging heavy, binging heavy) based on interviews.
- The complete AUDIT, AUDIT-C (quantity-frequency), and AUDIT-3 (binge-frequency) were analyzed for their ability to detect binge drinking.
Main Results:
- The complete AUDIT demonstrated effectiveness in detecting binge drinkers with cut-off scores of >=8 or >=7.
- The optimal cut-off score for AUDIT-C was >=6, and for AUDIT-3 was >=2.
- Area Under the Curve (AUC) values indicated good discriminatory power for all tested versions: AUDIT (0.824), AUDIT-C (0.829), and AUDIT-3 (0.779) among risky drinkers.
Conclusions:
- The complete AUDIT and its short versions are suitable for detecting binge drinking in populations where this pattern is dominant.
- It is crucial to adapt and tailor the cut-off scores of these screening tools to align with specific cultural contexts for optimal accuracy.
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