title: [Analysis of road traffic injuries from Chinese National Injury Surveillance System, 2006 - 2008].
abstract: OBJECTIVE
  To describe the distribution of road traffic injuries through hospital based National Injury Surveillance System(NISS).
  
  
  METHODS
  Data of road traffic injuries was descriptively analyzed from Chinese NISS from 2006 to 2008.
  
  
  RESULTS
  In 2006 - 2008, road traffic injury was the second leading cause from NISS among attendants in ERs or clinics of the hospitals, with males (64.63%, 64.07%, 64.38%) more than females (35.37%, 35.93%, 35.62%). People aged 30 - 44 (36.04%, 34.82%, 34.28%), 15 - 29 (30.74%, 31.57%, 30.13%), 45 - 64 (20.28%, 20.70%, 22.80%) years were seen more than other age groups. The majority of road traffic injuries were unintentional (98.34%, 99.07%, 99.07%), and mostly injured in head (35.21%, 33.74%, 35.77%) and lower limbs (24.08%, 24.54%, 23.95%) which mainly as bruise (56.47%, 57.92%, 58.89%) and fractures (17.70%, 15.84%, 15.88%). The severities of injuries were mainly minor ones (63.69%, 67.24%, 65.68%), and mostly went home right after treatments (59.43%, 63.76%, 62.80%).
  
  
  CONCLUSIONS
  The distribution of road traffic injuries from NISS kept stable from 2006 to 2008. Young and middle aged men were the focus population for road traffic injuries intervention. Further improvement of NISS, multi-sectional collaboration-based advocacies and education programs as well as the enforcement of road safety law seemed the good practices for road traffic injury prevention.
authors.affiliation: National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: Xiao
authors.initials: X
authors.lastname: Deng
authors.forename: Chun-mei
authors.initials: CM
authors.lastname: Wu
authors.forename: Wei
authors.initials: W
authors.lastname: Jiang
authors.forename: Si-jie
authors.initials: SJ
authors.lastname: Li
authors.forename: Lei-lei
authors.initials: LL
authors.lastname: Duan
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D002681:China / Q000453:epidemiology; D004636:Emergency Service, Hospital; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D062486:Public Health Surveillance; D017678:Sex Distribution; D055815:Young Adult