Background Injury is an emerging public health problem with social development and modernization in developing countries. BI605906 supplier urban BI605906 supplier areas. Youngsters suffered the highest incidence of injury. Injury also caused large losses in terms of both economics and life, with traffic injuries contributing the most to this loss. Strategies for prevention of injury should be developed. Background An estimated 5 million people worldwide died from injuries in 2000, with a mortality rate of 83.7/100,000 population, accounting for 9% of the world’s deaths in 2000 and 12% of the world’s burden of disease. In China, injuries accounted for approximately 750,000 deaths and 3.5 million hospitalizations in 1999, acting as the leading cause of death for those aged 1 to 44 years. The estimated annual economic cost of injury is equivalent to 12.5 billion US dollars, almost four times the total public health services budget of China. Injury has become an important public health problem in China. Shandong Province, located in the eastern part of PPP2R1B China, has an area of 156,700 km2 BI605906 supplier and a population of about 90 million. According to vital statistics, the injury fatality rate was 57.02 per 100,000 in Shandong Province in 2001, accounting for 9.08% of all deaths. We carried out a community-based household survey in the Shandong Province of China in order to describe the pattern of injury occurrence, understand the conditions and risk factors associated with injury, and illustrate the burden caused by injury. Methods Participants were selected using a stratified, multi-stage random sampling method. According to national socioeconomic classification criteria, an urban area was classified as a large, middle size, or small city based on human population size. Rural areas were classified as countryside area class 1, rural area class 2, and countryside area class 3 based on the health and economic situation in the area. Two city districts in each city area level, three counties in each countryside area level, two sub-districts (towns) in each area (county), three resident commissions (villages) in each sub-district (town), and 200 households in each resident commission (town) were selected randomly. All long term residents (inhabitancy of > 6 months) in selected households were to become interviewed. The survey was carried out in four towns and six countryside counties from 04 to June in 2004. Interviewers from local disease control organizations or hospitals underwent standard teaching. The study was authorized by the Ethics Committee of the Shandong Centre for Disease Control and Prevention. After the interviewers explained the study to each family in the sample, knowledgeable verbal consent was wanted. All users of the chosen households were interviewed. Information was from relatives if an interviewee was unavailable or more youthful than ten years. The survey focused on accidental injuries that occurred in 2003 and met any of the following three criteria: 1) accidental injuries diagnosed in medical organizations; 2) accidental injuries requiring treatment or care; BI605906 supplier and 3) accidental injuries that required rest for at least half a day. In the case of multiple accidental injuries, all episodes were included. Injuries were classified according to ICD-10. Main indexes The incidence rate of injury by individual was calculated. Average household income in 2003 was surveyed to measure the economic status BI605906 supplier of respondents. Years of potential existence lost (YPLL), operating years of potential existence lost (WYPLL), highly valued years of potential existence lost(VYPLL), and direct and indirect economic loss (IEL) caused by injury were analyzed (Table ?(Table11). Table 1 Health economic indexes and calculation* Data analysis Epidata 3.0 and Stata 8.0 were used for data input and analysis. Rates and ratios were the main indexes of the study. Bivariate analyses were performed using mix tabulations. A chi-squared test was used to test for homogeneity. Multivariate logistic regression analysis was.