title: [A case-crossover study on road traffic injury].
abstract: OBJECTIVE
  To explore the risk factors of road traffic injury (RTI), and to provide evidence for stretagy development on the prevention and control of RTI.
  
  
  METHODS
  Case-crossover study was used. 402 drivers were face to face interviewed by specially designed questionnaire including the items as drinking alcohol before driving, onset anger scale (OAS), anxiety/irritation, Stanford sleepiness scale (SSS), vehicle breakdown, carelessness, violating the rules on right of way and traffic signs when driving. Tables related to case-control study on 1:1 matching was used for single factor analysis, and conditional logistic regression was used for multifactor analysis.
  
  
  RESULTS
  The risk factors that were associated with RTI including high OAS (OAS = 5-7, OR = 114.88, 95% CI:4.29-3074.86), violating the rules on right of way (OR = 46.96, 95% CI:12.74-173.11), violating traffic signs when driving(OR = 24.57, 95% CI: 8.69-69.45), carelessness (OR = 14. 54,95% CI: 6.85-30.86), unsafe distance between vehicles( OR = 14.30,95% CI: 3.68-55.60), wrong judgement (OR = 14.67,95% CI:4.88-44.10), vehicle breakdown (OR = 8.57, 95% CI: 1.38- 53.27) and improper measure ( OR = 8.46, 95% CI: 2.46-29.14) etc.
  
  
  CONCLUSIONS
  Improper driving behaviors, abnormal psychological status and driving skills of drivers were related to RTI, suggesting that it was necessary to carry out continous traffic security education to the drivers.
authors.affiliation: Department of Epidemiology, West China School of Public Health, Sichuan University, Chengdu 610041, China.
authors.forename: Ping
authors.initials: P
authors.lastname: Yuan
authors.forename: Jin
authors.initials: J
authors.lastname: Wen
authors.forename: Zhen-hua
authors.initials: ZH
authors.lastname: Deng
authors.forename: Bin
authors.initials: B
authors.lastname: Kong
authors.forename: Kuan-lin
authors.initials: KL
authors.lastname: Liu
authors.forename: Si-xing
authors.initials: SX
authors.lastname: Huang
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000328:Adult; D018592:Cross-Over Studies; D003710:Demography; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D015999:Multivariate Analysis; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014947:Wounds and Injuries / Q000453:epidemiology* / Q000209:etiology* / Q000517:prevention & control