title: Risk factors for worker injury and death from occupational light vehicles crashes in New South Wales (Australia).
abstract: OBJECTIVE
  To identify risk and protective factors for crash casualty outcomes in occupational light vehicles (OLV), a previously under-recognized work context for injuries and fatalities.
  
  
  METHODS
  A register-based study was conducted using linked vehicle crash and registration data (n = 13,491) for the Australian state of New South Wales. Univariate and multivariate analyses were undertaken to assess the relationship between casualty outcomes and variables drawn from four domains of potential determinants of severity: user, vehicle, road, and work organization factors.
  
  
  RESULTS
  Nineteen percent of OLV crashes had OLV-user casualties (n = 2,506) and 1% fatalities (n = 34). Adjusted casualty risk factors included tired driver (OR 2.1, 95% CI 1.5-2.7), no seat belt use (OR 1.8, 95% CI 1.4-2.3), and excessive speed (OR 1.4, 95% CI 1.2-1.6). Adjusted fatality risk factors were no seat belt (OR 12.9, 95% CI 4.9-34.3) and high-speed zone crash (OR 5.0, 95% CI 2.1-12.3).
  
  
  CONCLUSIONS
  OLV users are at risk from both recognized road risks and hazards specific to OLV use. Findings suggest that risk reduction could be improved by the use of safer vehicles, fatigue management, and journey planning.
authors.affiliation: Department of Epidemiology & Preventive Medicine, Medical School, Monash University, Alfred Hospital, Melbourne, Victoria, Australia. rwth.stuckey@med.monash.edu.au
authors.forename: Rwth
authors.initials: R
authors.lastname: Stuckey
authors.forename: Deborah C
authors.initials: DC
authors.lastname: Glass
authors.forename: Anthony D
authors.initials: AD
authors.lastname: LaMontagne
authors.forename: Rory
authors.initials: R
authors.lastname: Wolfe
authors.forename: Malcolm R
authors.initials: MR
authors.lastname: Sim
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000328:Adult; D001334:Automobile Driving / Q000706:statistics & numerical data*; D001336:Automobiles / Q000706:statistics & numerical data*; D016001:Confidence Intervals; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D009026:Mortality / Q000639:trends*; D015999:Multivariate Analysis; D009517:New South Wales / Q000453:epidemiology; D009784:Occupational Diseases / Q000453:epidemiology* / Q000401:mortality; D016273:Occupational Exposure; D016017:Odds Ratio; D012042:Registries; D012307:Risk Factors; D040242:Risk Reduction Behavior