title: Factors associated with young drivers' car crash injury: comparisons among learner, provisional, and full licensees.
abstract: This exploratory study aimed to investigate factors associated with car crash injury among young drivers aged <25 years with different license status. Of special interest were the differences in risk patterns among different license holders of different age groups. Data utilised in this study were obtained from the New South Wales (NSW) police. The results indicated that female young drivers were more at risk of being killed or injured in a crash than males. Some risk factors, in particular environment-related factors, were identified as license-status-and-age specific. On the contrary, disregarding their driving experiences and ages, young drivers were more influenced by their own behaviours and driving conditions. Young drivers of 16-17 years with learner and provisional licenses tended to have increased risk of crash injury due to special road features. Night-time driving seemed to be a problem for older and more experienced drivers only. Fully licensed drivers of 18-19 and 20-24 years were more susceptible to the influence of alcohol. Risk-taking, speeding, fatigue, and carrying many passengers increased the risk of crash injury to car occupants for nearly all young drivers disregarding their ages and driving experiences. The results obtained provided indicative information on areas where the graduated licensing systems in NSW might be effective, and on other areas that might be lacking. A population-based case-control study was proposed to overcome the limitations of this study.
authors.affiliation: Royal Alexandra Hospital for Children, Locked bag 4001, Westmead, NSW 2145, Australia. lawrencl@chw.edu.au
authors.forename: Lawrence T
authors.initials: LT
authors.lastname: Lam
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001334:Automobile Driving / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D009517:New South Wales; D012307:Risk Factors