一种用于预测交通路况下老年驾驶员安全性的多领域方法。
A multidomain approach for predicting older driver safety under in-traffic road conditions.
作者信息
Wood Joanne M, Anstey Kaarin J, Kerr Graham K, Lacherez Philippe F, Lord Stephen
机构信息
School of Optometry and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
出版信息
J Am Geriatr Soc. 2008 Jun;56(6):986-93. doi: 10.1111/j.1532-5415.2008.01709.x. Epub 2008 Apr 18.
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.
目的
确定一组能预测道路驾驶评估中安全与不安全表现的测试。
设计
前瞻性队列研究。
地点
大学实验室评估及道路驾驶测试。
参与者
通过选民名册招募的270名年龄在70至88岁之间的社区居住成年人。
测量
一系列多学科测试的表现以及道路驾驶表现的标准化测量。
结果
来自视觉、认知和运动领域的三项测试组合，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的姿势摆动以及自我报告的驾驶暴露量度，能够将参与者分为安全和不安全驾驶组，敏感性为91%，特异性为70%。
结论
在有驾照的老年驾驶员样本中，一组简短的测试和自我报告的驾驶暴露量度能够准确预测驾驶安全性。
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