title: [Burden of disease on road traffic injuries in Penglai city, Shandong province, in 2006 - 2007].
abstract: OBJECTIVE
  To evaluate the burden of road traffic injury (RTI) from perspectives both on the health of population and on social economic status so as to provide scientific evidence for policy making.
  
  
  METHODS
  The status of mortality and disability caused by traffic accident in Penglai county was estimated, based on data from death registration and a sampling survey from 2006 to 2007. Together with the disability weights gained from global burden of disease (GBD), health burden (DALY) was measured with GBD formula. The economic burden of RTI was evaluated.
  
  
  RESULTS
  Average loss of the health life years (HLY) related to RTI was 31 373.04 per year. 70.59 HLY were lost per 1000 persons. Loss among the males was higher than females. The loss of DALY among the age group 15 - 44 years ranked the first place (39 209.71 HLY) which accounted for 62.42% of the total DALY. 79.45% of the total DALY were caused by disability. In 2006 and 2007, the economic loss caused by RTI was as high as 2.19 billion RMB, which accounted for 4.89% of the total amount of GDP while the indirect economic costs (2.15 billion RMB) accounted for 98.45% of the total costs in Penglai city. The economic loss of the males was obviously higher than the females and the loss by the group aged 15 - 59 years old accounted for 97.65% of the total.
  
  
  CONCLUSIONS
  RTI had severely influenced the health of the residents in Penglai city and brought heavy burden to the individuals, families as well as the society.
authors.affiliation: Shandong Center for Disease Control and Prevention, Jinan, China.
authors.forename: Ji-yu
authors.initials: JY
authors.lastname: Zhang
authors.forename: Ai-qiang
authors.initials: AQ
authors.lastname: Xu
authors.forename: Xiao-lei
authors.initials: XL
authors.lastname: Guo
authors.forename: Ji-xiang
authors.initials: JX
authors.lastname: Ma
authors.forename: Fu-jiang
authors.initials: FJ
authors.lastname: Ning
mesh_terms: D000063:Accidents, Traffic / Q000191:economics* / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D002648:Child; D002675:Child, Preschool; D002681:China / Q000453:epidemiology; D017281:Cost of Illness; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D019057:Quality-Adjusted Life Years; D055815:Young Adult