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A multidomain approach for predicting older driver safety under in-traffic road conditions.

机译:一种在交通路况下预测年长驾驶员安全性的多域方法。

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摘要

OBJECTIVES: To identify a battery of tests that predicts safe and unsafe performance on an on-road assessment of driving. DESIGN: Prospective cohort study. SETTING: University laboratory assessment and an on-road driving test. PARTICIPANTS: Two hundred seventy community-living adults aged 70 to 88 recruited through the electoral roll. MEASUREMENTS: Performance on a battery of multidisciplinary tests and on a standardized measure of on-road driving performance. RESULTS: A combination of three tests from the vision, cognitive, and motor domains, including motion sensitivity, color choice reaction time, postural sway on a compliant foam rubber surface, and a self-reported measure of driving exposure, was able to classify participants into safe and unsafe driver groups with sensitivity of 91% and specificity of 70%. CONCLUSION: In a sample of licensed older drivers, a short battery of tests and a self-reported measure of driving exposure were able to accurately predict driving safety.
机译:目标:确定一系列测试,这些测试可在道路行驶评估中预测安全和不安全的性能。设计:前瞻性队列研究。地点:大学实验室评估和公路驾驶考试。参加者:通过选举名册招募了270名70-88岁的社区居民。测量:一系列多学科测试的性能以及公路驾驶性能的标准化度量。结果:来自视觉,认知和运动领域的三个测试的组合,包括运动敏感性,颜色选择反应时间,在顺应性泡沫橡胶表面上的姿势摇摆以及自我报告的驾驶暴露量度,能够对参与者进行分类分为安全性和不安全性驾驶员组,敏感性为91%,特异性为70%。结论:在有执照的老年驾驶员的样本中,短时间的测试和自我报告的驾驶暴露量能够准确预测驾驶安全性。

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