Epidemiologic features and relevant factors of traffic injuries in Shanghai, China

Objective To investigate the traffic injuries epidemiologic features and its relevant factors including income, education level and age in Shanghai, China. Methods The multi-stage stratified probability proportion to size cluster sampling method was conducted to collect the traffic injuries incidence data of Shanghai in 2011 and carrying out indoor investigation on 61 786 residents. Mortality and related socio-demographic data from 1992 to 2012 were obtained from local vital registration system and Shanghai municipal statistics bureau. Multivariate logistic model was used to analyse the independent effect of various variables. Results The incidence of traffic injury was 101.16/10 000. The mortality of traffic injury decreased from 10.73/100 000 in 1992 to 9.32/100 000 in 2012. The incidence of traffic injury among the people with an average monthly income no more than 1 000 CNY was 4.37 times than those no less than 5 000 CNY. Those educational level under the primary school people's mortality and incidence were 27.05/100 000 and 146.88/10 000 respectively, which were 6.41 times and 2.42 times compared to those with college degree or above. The mortality of 5-9 years old age group was the highest among 0-14 years old children. The age group of 30-34 and 55-59 had the highest traffic injury incidence increment. Multivariate regression analysis showed that lower income, lower education and elder age could lead to higher risk of traffic injuries. Conclusions Lower income, lower education level and older in age are main risk factors of traffic-related injuries and those people should be the target intervention populations. It is urgent to establish a big shared injury data application platform for better implement of targeted prevention and control measures and equalized public health services supplying.