Drinking patterns and traffic casualties in Switzerland: matching survey data and police records to design preventive action

Details

Serval ID
serval:BIB_7BB93521538B
Type
Article: article from journal or magazin.
Collection
Publications
Title
Drinking patterns and traffic casualties in Switzerland: matching survey data and police records to design preventive action
Journal
Public Health
Author(s)
Gmel  G., Heeb  J. L., Rezny  L., Rehm  J., Mohler-Kuo  M.
ISSN
0033-3506 (Print)
Publication state
Published
Issued date
05/2005
Volume
119
Number
5
Pages
426-36
Notes
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S. --- Old month value: May
Abstract
OBJECTIVE: To examine the association between drinking patterns and alcohol-related traffic casualties. STUDY DESIGN: Data linkage of cross-sectional survey data on alcohol consumption with official traffic casualty records. METHODS: Alcohol consumption measures for usual heavy drinking and risky single occasion drinking were derived for different time segments of the day from a 7-day drinking diary study of 747 current drinkers. Measures were correlated with official records of alcohol-related traffic casualties. RESULTS: There was a high correlation between alcohol-related traffic casualties and the number of risky single occasion drinkers that consumed alcohol outside their homes (r=0.92). On average, about 50% of these drinking occasions were attributed to usual moderate drinkers. The proportion of usual heavy drinkers was lowest in the time segments with the most alcohol-related casualties. CONCLUSION: Preventive countermeasures should be targeted at the general population, enforced particularly during specific periods of the week.
Keywords
Accidents, Traffic/prevention & control/*statistics & numerical data Adolescent Adult Aged Alcohol Drinking/*epidemiology/prevention & control Causality Cross-Sectional Studies Data Collection Female Humans Male Middle Aged Police Public Health Informatics Risk-Taking Switzerland/epidemiology Time Factors
Pubmed
Web of science
Create date
25/01/2008 17:16
Last modification date
20/08/2019 14:37
Usage data