Pedestrian injuries and the relevant burden in shanghai, china: implications for control / 生物医学与环境科学（英文）

<p><b>OBJECTIVE</b>To study the associations of pedestrian injuries with age, income and educational level in Shanghai and to analyze the relative disease burden.</p><p><b>METHODS</b>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.</p><p><b>RESULTS</b>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.</p><p><b>CONCLUSION</b>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.</p>

Study on age and education level and their relationship with fall-related injuries in Shanghai, China / 生物医学与环境科学（英文）

<p><b>OBJECTIVE</b>To study age and educational level and their relationship with fall-related injuries in Shanghai and to analyze the relevant costs.</p><p><b>METHODS</b>Multistage cluster sampling was used for the selection of participants and standardized questionnaires were used for the information collection in 2006. Information on cases and deaths caused by fall-related injuries were obtained from 494 hospitals as well as from the mortality registry systems from 2001 till 2010.</p><p><b>RESULTS</b>Of 45 857 participates, 674 suffered from fall-related injuries with the largest proportion among all injuries. The fall-related mortality increased from 10.63 per 100 000 in 2001 to 14.11 per 100 000 in 2010. The under-five mortality rate was the highest among children aged 0-14 years. Mortality increased dramatically among those aged 55 or above for the female and aged 60 or older for the male. Individuals with an educational level under the primary school were more likely to suffer fall-related injuries, accounting for 72.66% of all deaths and 49.24% of nonfatal cases respectively. The annual burden of fall-related injuries equated to 25.90% of the share of GDP for the healthcare, social security and welfare industries in 2006.</p><p><b>CONCLUSION</b>Fall-related injuries were inversely related to victims' educational level. Children under the age of 5, women over 55 years old and men over 60 years old with an educational level lower than the primary school are the most risky groups of populations for intervention measures.</p>

Field data: a study on trend and prediction of fatal traffic injuries prevalence in Shanghai.

OBJECTIVE: The main objectives of the study are to analyze fatal traffic-injury trends in 1987-2003 in Shanghai and predict its prevalence in near future and provide scientific data for the local governmental decision on developing practical working methods on traffic-injury prevention and control. METHODS: In this study, epidemiological method and Grey dynamic model GM (1,1) were introduced to analyze and forecast traffic-injury mortality rates respectively. RESULTS: There was an apparent increasing trend of traffic-related injuries in Shanghai from 1987 to 2003 with the rate of growth in motorization. The average rates of annual increase are 3.59% in fatalities (from 7.78 per 100,000 population to 14.18 per 100,000 population) during the period. Pedestrians were the most common type of victims (29.6%), followed by bicyclists (25.1%), and motorcyclists (24.1%). Males accounted for the majority of all victims, over 69%. The population of high-school and lower high-school education level represented 66.4% victims of total road-traffic injuries. And if no special factors effect its development, the traffic fatalities would be up to 17.84 per 100,000 population in 2010, when calculating from equations we found and validated Y(t) = 359.90 x e0.027(t-1)-352.13, (t = 1, 2, ..., N) for Shanghai. CONCLUSION: Our data indicate the risk of fatal traffic injuries has increased in recent years and will go on growing in the near future in Shanghai. The findings showed that Grey dynamic model GM (1,1) is eligible on the prediction and can be a tool for injuries forecasting, implementing effective policies, programs, and interventions for reducing traffic injuries in the big cities.

Pattern of traffic injuries in Shanghai: implications for control.

In China, traffic-related injuries are often treated as transportation issues, called 'accidents'. The objectives of the research are to analyse traffic injury patterns, estimate costs of traffic injuries and provide evidence to develop effective prevention strategies. There were over 1 500 deaths due to traffic-related injuries annually in Shanghai from 1987 to 2003, and it is rising year by year with the rate of growth in motorization. The rates of annual increase are 3.59% in fatalities (from 7.78 to 14.18 per 100000 population) and 10.46% in non-fatalities (from 53.93 to 264.98 per 100000 population) respectively during the period. The analysis of the geographic information system showed that the geographic distribution of traffic injuries in the countryside regions of Shanghai had the highest rates. Labour force groups represented the majority of fatalities (70.97%) and serious traffic injuries (90.51%). The mortality rates were 18.40 per 100000 population and 10.02 per 100000 population in 45-65 year age group and 15-44 year age group respectively; the morbidity rates of serious traffic injuries were 121.60 per 100000 population and 70.46 per 100000 population in the same groups respectively. And females generally showed a lower incidence than males. In general, fatalities and injuries were higher for drivers, bicyclists and pedestrians. Among road traffic injury-related fatalities, 66.8% were attributed to head injuries. Of those with fatal head injuries, bicyclists accounted for 29.8% of the total; pedestrians accounted for 28.3%; motorcyclists accounted for 25.5%. Total traffic injury cost was estimated at least US $645989580 in Shanghai in 2003. Good injury intervention programmes need to be done as soon as possible to effectively reduce traffic injury burden in Shanghai, China.