title: [A case-control study on road-related traffic injury in Shanghai].
abstract: OBJECTIVE
  To explore the risk factors that influencing the occurrence of road-related traffic injuries, so as to provide related bases for controlling injuries.
  
  
  METHODS
  A case-control study was conducted on 256 drivers with histories of accidents and their controls. EPQ questionnaire and a self-designed questionnaire were used to collect data. Risk factors would include behaviors as driving time per day, types of vehicles, time and status of sleep, degree of education, diet habits, feeling of tiredness, alcohol intake, time of watching television before driving and marriage status. Physiological index as blood type, blood pressure, cordial, using tranquillizers, disease history, reaction time, eyesight, overweight, etc. were also tested. Conditional logistic regression model was used to analyze risk factors.
  
  
  RESULTS
  From all these tests, risk factors which including dietetic rhythm (OR = 1.815), tiredness (OR = 3.263), history of digestive disease (OR = 3.504), weak eye sight (OR = 3.825), being divorced (OR = 3.226), wake up early (OR = 4.931), mixed insomnia (OR = 5.719), simple reaction time (OR = 3.498), complex reaction time (OR = 2.292), P score (OR = 1.352), E score (OR = 1.439) were noticed to be significantly important.
  
  
  CONCLUSIONS
  The occurrence of road-related injuries were related to a series of physiological, psychological and behavioral risk factors among drivers.
authors.affiliation: Department of Preventive Medicine, Medical College, Tongji University, Shanghai 200092, China.
authors.forename: Jin-ming
authors.initials: JM
authors.lastname: Yu
authors.forename: Ying-chun
authors.initials: YC
authors.lastname: Wang
authors.forename: Fang
authors.initials: F
authors.lastname: Chen
mesh_terms: D000063:Accidents, Traffic / Q000523:psychology / Q000706:statistics & numerical data*; D000328:Adult; D000428:Alcohol Drinking / Q000009:adverse effects*; D016022:Case-Control Studies; D002681:China / Q000453:epidemiology; D005221:Fatigue / Q000150:complications; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D012307:Risk Factors; D011795:Surveys and Questionnaires