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Objective To study the associations of pedestrian injuries with age, income and educational level in Shanghai and to analyze the relative disease burden. Methods Information on pedestrian-related cases and deaths were collected from 494 hospitals and mortality registry systems from 1992 to 2010, and a multistage cluster sampling survey conducted in 2006. Logistic regression model was used in the analyses. Results The age group of 5-9 had the highest mortality and morbidity among children. Mortality increased obviously among those aged 60 or above. Individuals with an educational level under the primary school and with the lower family average income were more likely to suffer pedestrian-related injuries. Multivariate Logistic analysis demonstrated that lower income and lower educational level increased the risk of pedestrian injuries with the odds ratio of 1.40(95% CI: 1.15-1.71) and 1.70(95% CI: 1.20-2-40), respectively. About 13.54% of the share of GDP for the healthcare, social security and welfare industries in Shanghai was occupied by the burden of pedestrian-related injuries in 2006. Conclusion Pedestrian-related injury has inverse association with victims’ income and educational level. Children of 5-9 years old and adults over 60 with lower educational level and lower monthly income are the target persons to be intervened.
Objective To study the associations of pedestrian injuries with age, income and educational level in Shanghai and to analyze the relative disease burden. Methods Information on pedestrian-related cases and deaths were collected from 494 hospitals and mortality registry systems from 1992 to 2010, and a multistage cluster sampling survey conducted in 2006. Logistic regression model was used in the analyzes. Results The age group of 5-9 had the highest mortality and morbidity among children. Mortality increased substantially said ages 60 or above. Individuals with an educational level under the primary school and with the lower family average income were more likely to suffer pedestrian-related injuries. Multivariate Logistic analysis demonstrated that lower income and lower educational level increased the risk of pedestrian injuries with the odds ratio of 1.40 (95% CI: 1.15- 1.71) and 1.70 (95% CI: 1.20-2-40), respectively. About 13.54% of the share of GDP for the healthcare, social secu rity and welfare industries in Shanghai was occupied by the burden of pedestrian-related injuries in 2006. Conclusion Pedestrian-related injury has association with victims’ income and educational level. Children of 5-9 years old and adults over 60 with lower educational level and lower monthly income are the target persons to be intervened