Comparison Between Two Quasi-induced Exposure Methods for Studying Risk Factors for Road Crashes.
From: Department of Preventive Medicine and Public Health, Faculty of Pharmacy, University of Granada, Granada, Spain. lardelli@ugr.es
American journal of epidemiology
- Publish Date: Jan 2006
- ISSN: 0002-9262
- Volume: 163
- Issue: 2
- Pages: 188-95
- Medium: Print
- Language: English
- Citation (JAMA): Lardelli-Claret Pablo, Jiménez-Moleón José Juan, Luna-del-Castillo Juan de Dios, et al. Comparison Between Two Quasi-induced Exposure Methods for Studying Risk Factors for Road Crashes.. Am. J. Epidemiol. Jan 2006;163:188-95
Abstract
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 >or=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.
Mesh Headings (Keywords): Accidents, Traffic, Adolescent, Adult, Aged, Confounding Factors (Epidemiology), Female, Humans, Logistic Models, Male, Middle Aged, Risk Assessment, Risk Factors, Spain
Check for Full Text / PubMed Unique Identifier (PMID): 16306310
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