1. Attitudes associated with behavioral predictors of serious road traffic crashes: results from the GAZEL cohort
- Author
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Sylviane Lafont, Marie Zins, Mireille Chiron, Louis Rachid Salmi, Emmanuel Lagarde, Hermann Nabi, Santé publique et épidémiologie des déterminants professionnels et sociaux de la santé, Epidémiologie, sciences sociales, santé publique (IFR 69), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epidémiologie, santé publique et développement, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR99-ISPED, Service d'information médicale, CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Unité Mixte de Recherche Epidémiologique et de Surveillance Transport Travail Environnement (UMRESTTE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche sur les Transports et leur Sécurité (INRETS), Salmi, Rachid, and Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
- Subjects
MESH: Fatigue ,Male ,MESH: Accidents, Traffic ,Engineering ,Cross-sectional study ,Poison control ,Occupational safety and health ,Cohort Studies ,Accident Prevention ,0302 clinical medicine ,Forensic engineering ,030212 general & internal medicine ,MESH: Cohort Studies ,Fatigue ,MESH: Middle Aged ,MESH: Automobile Driving ,05 social sciences ,Accidents, Traffic ,Human factors and ergonomics ,Middle Aged ,MESH: Risk-Taking ,Cohort ,symbols ,Female ,Original Article ,France ,Cohort study ,Adult ,Automobile Driving ,MESH: Attitude ,Alcohol Drinking ,03 medical and health sciences ,symbols.namesake ,Risk-Taking ,MESH: Accident Prevention ,0502 economics and business ,Injury prevention ,Humans ,Poisson regression ,050210 logistics & transportation ,MESH: Humans ,business.industry ,Public Health, Environmental and Occupational Health ,MESH: Adult ,MESH: Male ,MESH: France ,MESH: Cellular Phone ,Attitude ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,business ,MESH: Female ,MESH: Alcohol Drinking ,Cell Phone ,Demography - Abstract
International audience; OBJECTIVES: To test the hypothesis that behavioral predictors of serious road traffic crashes (RTC) are correlated with unfavorable attitudes towards traffic safety. DESIGN: Prospective and cross-sectional cohort study. SETTING: France PARTICIPANTS: 13,447 of the 19,894 living members of the GAZEL cohort, workers and recent retirees of a French national utility company followed up since 1989. MAIN OUTCOMES MEASURES: Driving behavior and attitudes towards traffic safety in 2001 by questionnaire. Serious RTCs were recorded over the subsequent 3 years using the cohort annual questionnaire. Behavioral predictors of serious RTCs were assessed using generalized linear Poisson regression models with time-dependent covariates. Factor scores extracted from the first four attitudinal factors of principal component analysis were saved and then regressed on behavioral predictors as independent variables. RESULTS: After controlling for potential confounders, the best predictors of serious RTCs were: "exceeding speed limits on rural roads", "risky use of cellular phone", and "sleepy driving". The adjusted rate ratio ranged from 1.47 to 2.16. Predictors of contravention of the highway code (the first two predictors) were found to be strongly associated with negative attitudes towards "enforcement" and "speed limitations" with an adjusted odds ratio ranging from 1.31 to 2.02. CONCLUSION: Our study supports the view that individuals with a high propensity for driving behaviors associated with an increased risk of RTCs were more likely to have negative attitudes towards traffic safety. Changing drivers' negative or distorted opinions of traffic "enforcement" as well as "speed limitations" and "alcohol prohibition on roads" could improve their compliance with road traffic rules.
- Published
- 2007