Crash risk of older female drivers--contributing factors.

Jennifer A Oxley, Judith L Charlton, Sjaanie N Koppel, Jim Scully, Brian N Fildes
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Abstract

Using data from i) a self-administered survey of 673 older female drivers, and ii) a case-control study of 48 crash-involved and 44 non crash-involved older female drivers, some factors that may predict crash involvement were identified. Survey data gathered self-reported information on demographic characteristics, health status, travel patterns and driving practices. A battery of functional performance assessments were administered by trained experimenters in the case-control study, and participants completed a second detailed self-administered questionnaire. Factors found to predict crash involvement included driving characteristics such as being the main driver in the household, not highly confident of being a safe driver, experiencing difficulty driving in unfamiliar areas and having problems with the driving style of other drivers. In addition, low attentional, cognitive and motor skills and presence of multiple medical conditions were significant predictors of crash involvement.

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高龄女性司机的撞车风险——影响因素。
通过对673名老年女性驾驶员的自我调查,以及对48名涉及撞车事故的老年女性驾驶员和44名未涉及撞车事故的老年女性驾驶员的病例对照研究,我们确定了一些可能预测涉及撞车事故的因素。调查数据收集了关于人口特征、健康状况、旅行模式和驾驶习惯的自我报告信息。在病例对照研究中,由训练有素的实验人员进行了一系列的功能表现评估,参与者完成了第二份详细的自我管理问卷。预测撞车的因素包括驾驶特征,比如是家庭的主要驾驶员,对安全驾驶没有高度的信心,在不熟悉的地区驾驶困难,以及对其他驾驶员的驾驶风格有问题。此外,低注意力,认知和运动技能以及多种医疗条件的存在是碰撞参与的重要预测因素。
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