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Citation |
Mann RE, Stoduto G, Butters J, Ialomiteanu A, Boase P, Asbridge M, Chipman M, Wickens CM. J. Saf. Res. 2010; 41(5): 445-449. |
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Affiliation |
Social and Epidemiological Research Department, Centre for Addiction and Mental Health, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. |
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Copyright |
(Copyright © 2010, U.S. National Safety Council, Publisher Elsevier Publishing) |
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DOI |
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PMID |
21059462 |
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Abstract |
INTRODUCTION: The purpose of the current study was to examine differences in factors associated with self-reported collision involvement of three age groups of drivers based on a large representative sample of Ontario adults. Method: This study was based on data from the CAMH Monitor, an ongoing cross-sectional telephone survey of Ontario adults 18years and older from 2002 to 2005. Three age groups were examined: 18-34 (n=1,294), 35-54 (n=2,428), and 55+ (n=1,576). For each age group sample, a logistic regression analysis was conducted of self-reported collision involvement in the last 12 months by risk factor measures of driving exposure (kilometers driven in a typical week, driving is stressful, and driving on busy roads), consuming five or more drinks of alcohol on one occasion (past 12 months), cannabis use (lifetime, and past 12 months), and driving after drinking among drinkers (past 12 months), controlling for demographics (gender, region, income, and marital status). Results: The study identified differences in factors associated with self-reported collision involvement of the three age groups of adult drivers. The logistic regression model for the youngest group revealed that drivers who reported that driving was stressful at least some of the time, drank five or more drinks on an occasion, and drove after drinking had an increased risk of collision involvement. For the middle age group, those who reported using cannabis in the last 12 months had significantly increased odds of reporting collision involvement. None of the risk factor measures showed significant associations with collision risk for older drivers (aged 55+). Impact: The results suggest potential areas for intervention and new directions for future research. Language: en |