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Journal Article

Citation

Paljarvi T, Makela P, Poikolainen K, Suominen S, Car J, Koskenvuo M. Addiction 2012; 107(2): 323-330.

Affiliation

Department of Primary Care and Public Health, Imperial College London, London, United Kingdom. National Institute for Health and Welfare, Helsinki, Finland. Finnish Foundation for Alcohol Studies, Helsinki, Finland. Department of Public Health, University of Turku, Turku, Finland. Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland.

Copyright

(Copyright © 2012, John Wiley and Sons)

DOI

10.1111/j.1360-0443.2011.03596.x

PMID

21801266

Abstract

Aim: To determine the performance of subjectively defined intoxications, hangovers, and alcohol-induced pass-outs in identifying drinkers at risk for adverse health outcomes. Design: Prospective population-based cohort study. Setting: Working-aged Finnish general population. Participants: 21 204 alcohol-drinking men and women aged 20-24, 30-34, 40-44 and 50-54 years at baseline who participated in the Health and Social Support (HeSSup) postal survey in 1998. Measurements: Binge drinking was measured by subjectively defined intoxications/drunkenness, hangovers, and alcohol-induced pass-outs. Hazardous drinking was defined according to Finnish guidelines as weekly total intake of >287 grams of ethanol for men, and for women >191 grams of ethanol (≥24 and ≥16 standard drinks, respectively). Study participants were followed-up for seven years for alcohol-specific hospitalizations and deaths. Proportional hazard models and areas under the receiver operating characteristics curves (AUC) were used to analyse the data. Findings: 6.5% exceeded the weekly limit for hazardous drinking, and 1.5% experienced the alcohol-specific endpoint during the follow-up. Subjective intoxications, hangovers, and alcohol-induced pass-outs all predicted future alcohol-specific diagnoses independently of average intake, and of several other potential confounders. In identifying baseline hazardous drinking, subjective intoxications had a superior performance (AUC=0.83, 95%CI=0.82,0.84) in relation to other subjective measures of binge drinking. In identifying future alcohol-specific hospitalizations or death, subjective intoxications had also the best performance (AUC=0.78, 95%CI=0.75,0.81), but this was not significantly different from the other binge drinking measures, or average intake. Conclusions: Subjectively defined intoxications, hangovers, and alcohol-induced pass-outs are population level proxy measures of at-risk drinking patterns.


Language: en

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