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Driver dependent factors and the risk of causing a collision for two wheeled motor vehicles
  1. P Lardelli-Claret1,
  2. J J Jiménez-Moleón1,
  3. J de Dios Luna-del-Castillo2,
  4. M García-Martín1,
  5. A Bueno-Cavanillas1,
  6. R Gálvez-Vargas1
  1. 1Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
  2. 2Department of Statistics, University of Granada, Granada, Spain
  1. Correspondence to:
 Dr P Lardelli-Claret
 Departamento de Medicina Preventiva y Salud Pública, Facultad de Farmacia, Campus de Cartuja s/n, 18071 Granada, Spain; lardelliugr.es

Abstract

Objective: To assess the effect of driver dependent factors on the risk of causing a collision for two wheeled motor vehicles (TWMVs).

Design: Case control study.

Setting: Spain, from 1993 to 2002.

Subjects: All drivers of TWMVs involved in the 181 551 collisions between two vehicles recorded in the Spanish registry which did not involve pedestrians, and in which at least one of the vehicles was a TWMV and only one driver had committed a driving infraction. The infractor and non-infractor drivers constituted the case and control groups, respectively.

Main outcome measures: Logistic regression analyses were used to obtain crude and adjusted odds ratio estimates for each of the driver related factors recorded in the registry (age, sex, nationality, psychophysical factors, and speeding infractions, among others).

Results: Inappropriate speed was the variable with the greatest influence on the risk of causing a collision, followed by excessive speed and driving under the influence of alcohol. Younger and older drivers, foreign drivers, and driving without a valid license were also associated with a higher risk of causing a collision. In contrast, helmet use, female sex, and longer time in possession of a driving license were associated with a lower risk.

Conclusions: Although the main driver dependent factors related to the risk of causing a collision for a TWMV were similar to those documented for four wheeled vehicles, several differences in the pattern of associations support the need to study moped and motorcycle crashes separately from crashes involving other types of vehicles.

  • CC, clean collisions
  • cOR, crude odds ratio
  • aOR, adjusted odds ratio
  • TWMV, two wheeled motor vehicles
  • traffic crash
  • moped
  • motorcycle
  • risk factor

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