Article

Influence of driver nationality on the risk of causing vehicle collisions in Spain.

Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.
Journal of Epidemiology &amp Community Health (Impact Factor: 3.39). 06/2002; 56(5):394-8. DOI: 10.1136/jech.56.5.394
Source: PubMed

ABSTRACT To estimate the association between driver nationality and the risk of causing a collision between vehicles in motion.
Retrospective, matched by collision, case-control study.
Collisions that occurred in Spain during the period from 1990 to 1999 were studied.
Responsible (case) and non-responsible (control) drivers identified in the databases of the Dirección General de Tráfico (General Traffic Directorate) who were involved in a collisions between two or more four wheeled vehicles in motion, in which only one of the drivers had committed a traffic violation.
Crude odds ratios (ORs) for the effect of driver nationality on the risk of causing a collision were significantly higher for foreign drivers than for Spanish drivers, and ranged from a minimum of 1.19 (95% CI 1.09 to 1.29) for Portuguese drivers to a maximum of 2.06 (1.88 to 2.27) for British drivers. Corresponding adjusted ORs were slightly lower, but were still significantly higher than 1 for all nationalities except Italian, Belgian, and American (USA). Adjusted ORs were usually higher for collisions that occurred in urban areas than on open roads.
Authorities responsible for traffic safety, and drivers in general, should consider foreign drivers in Spain at particularly high risk for causing collisions, especially in urban areas.

0 Bookmarks
 · 
67 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: To assess the effect of driver dependent factors on the risk of causing a collision for two wheeled motor vehicles (TWMVs). Case control study. Spain, from 1993 to 2002. 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. 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). 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. 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.
    Injury Prevention 09/2005; 11(4):225-31. · 1.76 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: The goal is to comprehensively examine the state-of-the-art applications and methodological development of quasi-induced exposure and consequently pinpoint the future research directions in terms of implementation guidelines, limitations, and validity tests. The paper conducts a comprehensive review on approximately 45 published papers relevant to quasi-induced exposure regarding four key topics of interest: applications, responsibility assignment, validation of assumptions, and methodological development. Specific findings include that: (1) there is no systematic data screening procedure in place and how the eliminated crash data will impact the responsibility assignment is generally unknown; (2) there is a lack of necessary efforts to assess the validity of assumptions prior to its application and the validation efforts are mostly restricted to the aggregated levels due to the limited availability of exposure truth; and (3) there is a deficiency of quantitative analyses to evaluate the magnitude and directions of bias as a result of injury risks and crash avoidance ability. The paper points out the future research directions and insights in terms of the validity tests and implementation guidelines.
    Accident; analysis and prevention 12/2013; 65C:36-46. · 1.65 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    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.
    American Journal of Epidemiology 01/2006; 163(2):188-95. · 4.78 Impact Factor

Full-text (2 Sources)

View
15 Downloads
Available from
May 19, 2014