Mortality from road traffic accidents in Switzerland: Longitudinal and spatial analyses

Mortality from road traffic accidents in Switzerland: Longitudinal and spatial analyses

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Article ID: iaor20108231
Volume: 43
Issue: 1
Start Page Number: 40
End Page Number: 48
Publication Date: Jan 2011
Journal: Accident Analysis and Prevention
Authors: , ,
Keywords: transportation: road
Abstract:

Road traffic accidents (RTA) are an important cause of premature death. We examined socio‐demographic and geographical determinants of RTA mortality in Switzerland by linking 2000 census data to RTA mortality records 2000–2005 (ICD‐10 codes V00–V99). Data from 5.5 million residents aged 18–94 years, 1744 study areas, and 1620 RTA deaths were analyzed, including 978 deaths (60.4%) in motor vehicle occupants, 254 (15.7%) in motorcyclists, 107 (6.6%) in cyclists, and 259 (16.0%) in pedestrians. Weibull survival models and Bayesian methods were used to calculate hazard ratios (HR), and standardized mortality ratios (SMR) across study areas. Prevention efforts should aim to reduce inequities across socio‐demographic and educational groups, and across geographical areas, with interventions targeted at high‐risk groups and areas, and different traffic users, including pedestrians. Adjusted HR comparing women with men ranged from 0.04 (95% CI 0.02–0.07) in motorcyclists to 0.43 (95% CI 0.32–0.56) in pedestrians. There was a u‐shaped relationship with age in motor vehicle occupants and motorcyclists. In cyclists and pedestrians, mortality increased after age 55 years. Mortality was higher in individuals with primary education (HR 1.53; 95% CI 1.29–1.81), and higher in single (HR 1.24; 95% CI 1.05–1.46), widowed (HR 1.31; 95% CI 1.05–1.65) and divorced individuals (HR 1.62; 95% CI 1.33–1.97), compared to persons with tertiary education or married persons. The association with education was particularly strong for pedestrians (HR 1.87; 95% CI 1.20–2.91). RTA mortality increased with decreasing population density of study areas for motor vehicle occupants (test for trend p <0.0001) and motorcyclists (p =0.0021) but not for cyclists (p =0.39) or pedestrians (p =0.29). SMR standardized for socio‐demographic and geographical variables ranged from 82 to 190.

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