| Titre : | Comparison between two quasi-induced exposure methods for studying risk factors for road crashes. (2006) |
| Auteurs : | Pablo LARDELLI-CLARET ; Aurora BUENO-CAVANILLAS ; DE DIOS LUNA-DEL-CASTILLO (Juan) : ESP. Department of Statistics. Faculty of Medicine. University of Granada. Granada. ; Miguel GARCIA-MARTIN ; José-Juan JIMENEZ-MOLEON ; Obdulia MORENO-ABRIL ; University of Granada. Faculty of Medicine. Department of Preventive Medicine and Public Health. Granada. ESP ; University of Granada. Faculty of Pharmacy. Department of Preventive Medicine and Public Health. Granada. ESP |
| Type de document : | Article |
| Dans : | American journal of epidemiology (vol. 163, n° 2, 2006) |
| Pagination : | 188-195 |
| Langues: | Anglais |
| Mots-clés : | Etude comparée ; Exposition ; Méthodologie ; Estimation ; Facteur risque ; Accident circulation ; Epidémiologie ; Véhicule transport ; Homme |
| Résumé : | [BDSP. Notice produite par INIST-CNRS iTR0x6nk. Diffusion soumise à autorisation]. 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. |
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