Journal Article

Comparison between Two Quasi-Induced Exposure Methods for Studying Risk Factors for Road Crashes

Pablo Lardelli-Claret, José Juan Jiménez-Moleón, Juan de Dios Luna-del-Castillo, Miguel García-Martín, Obdulia Moreno-Abril and Aurora Bueno-Cavanillas

in American Journal of Epidemiology

Published on behalf of Johns Hopkins Bloomberg School of Public Health

Volume 163, issue 2, pages 188-195
Published in print January 2006 | ISSN: 0002-9262
Published online November 2005 | e-ISSN: 1476-6256 | DOI: http://dx.doi.org/10.1093/aje/kwj015
Comparison between Two Quasi-Induced Exposure Methods for Studying Risk Factors for Road Crashes

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This study was designed to compare estimates from two quasi-induced exposure methods of the effects of driver- and vehicle-related conditions on the risk of causing a road crash for drivers of vehicles with four or more wheels. From the Spanish register of road crashes with victims, the authors selected, for 1993–2002, all 755,329 drivers of ≥4-wheeled vehicles involved in single-vehicle crashes or in two-vehicle collisions in which only one of the drivers was considered responsible. Multinomial and logistic regression models were used to obtain the odds ratio for each driver- and vehicle-related variable. Construction of these models was based on the assumptions of classical quasi-induced exposure methods and on the method (a paired-by-collision analysis of responsible and nonresponsible drivers) proposed by Perneger and Smith (Am J Epidemiol 1991;134:1138–45). The main driver-dependent conditions for any type of crash were psychophysical circumstances (alcohol use and sleepiness). The effect of most driver- and vehicle-related characteristics was higher for single-vehicle crashes than for two-vehicle collisions. Furthermore, both classical and paired-by-collision analyses yielded similar estimates and can be considered equally useful alternatives for assessing the effect of driver and vehicle characteristics on the risk of causing a collision between two vehicles.

Keywords: accidents, traffic; automobile driving; epidemiologic methods; risk factors; vehicles; OR, odds ratio; RAIR, relative accident involvement ratio

Journal Article.  5226 words. 

Subjects: Public Health and Epidemiology

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