Identifying an accurate self‐reported screening tool for alcohol use disorder: evidence from a Swiss, male population‐based assessment
Autor: | Gerhard Gmel, Valentin Rousson, Patrick Heller, Simon Marmet, Stéphanie Baggio, Stéphane Rothen, Frank Sporkert, Joseph Studer, Jean-Bernard Daeppen, Katia Iglesias, Bastien Trächsel |
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Rok vydání: | 2019 |
Předmět: |
Male
Psychometrics Epidemiology 030508 substance abuse Medicine (miscellaneous) Community-based sample Alcohol use disorder Cohort Studies Machine Learning ddc:616.89 chemistry.chemical_compound 0302 clinical medicine Ethyl glucuronide Mass Screening ddc:310 030212 general & internal medicine 610 Medicine & health Public health education.field_of_study Diagnostic and Statistical Manual of Mental Disorders Alcoholism Psychiatry and Mental health Diagnostic Interview for Genetic Studies Alcohol 0305 other medical science Switzerland Cohort study Adult medicine.medical_specialty Population Sensitivity and Specificity 03 medical and health sciences Machine learning mental disorders medicine Humans Psychiatry education ddc:613 business.industry ddc:614.1 Gold standard (test) medicine.disease Cross-Sectional Studies alcohol community-based sample epidemiology machine learning psychometrics public health ROC Curve chemistry Self Report business Biomarkers |
Zdroj: | Addiction, vol. 115, no. 3, pp. 426-436 Addiction, Vol. 115, No 3 (2020) pp. 426-436 |
ISSN: | 1360-0443 0965-2140 |
DOI: | 10.1111/add.14864 |
Popis: | BACKGROUND AND AIMS Short screenings for alcohol use disorder (AUD) are crucial for public health purposes, but current self-reported measures have several pitfalls and may be unreliable. The main aim of our study was to provide empirical evidence on the psychometric performance of self-reports currently used. Our research questions were: Compared with a gold standard clinical interview, how accurate are 1) self-reported AUD, 2) self-reported alcohol use over time, and 3) biomarkers of alcohol use among Swiss men? Finally, we aimed to identify an alternative screening tool. DESIGN A single-center study with a cross-sectional design and a stratified sample selection. SETTING Lausanne University Hospital (Switzerland) from October 2017 through June 2018. PARTICIPANTS We selected participants from the French-speaking participants of the ongoing Cohort Study on Substance Use and Risk Factors (n=233). The sample included young men aged on average 27.0 years. MEASUREMENTS We used the Diagnostic Interview for Genetic Studies as the gold standard for DSM-5 AUD. The self-reported measures included 11 criteria for AUD, nine alcohol-related consequences, and previous twelve months' alcohol use. We also assessed biomarkers of chronic excessive drinking (ethyl glucuronide and phosphatidylethanol). FINDINGS None of the self-reported measures/biomarkers taken alone displayed both sensitivity and specificity close to 100% with respect to the gold standard (e.g., self-reported AUD: sensitivity=92.3%, specificity=45.8%). The best model combined eight self-reported criteria of AUD and four alcohol-related consequences. Using a cut-off of three, this screening tool yielded acceptable sensitivity (83.3%) and specificity (78.7%). CONCLUSIONS Neither self-reported alcohol use disorder (AUD) nor heavy alcohol use appear to be adequate to screen for AUD among young men from the Swiss population. The best screening alternative for AUD among young Swiss men appears to be a combination of eight symptoms of AUD and four alcohol-related consequences. |
Databáze: | OpenAIRE |
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