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IDENTIFYING CRASH INVOLVEMENT AMONG OLDER DRIVERS: AGREEMENT BETWEEN SELF-REPORT AND STATE RECORDS

机译:识别旧驾驶员中的现金入侵:自我报告和国家记录之间的协议

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older drivers have a high crash rate per vehicle mile of travel. Coupled with the growth of the number of older drivers on the road, this has generated interest in the identification of factors which place older drivers at increased risk. However, much of the existing research on medical and functional risk factors for crash involvement has generally been inconsistent. Methodological differences between studies have been hypothesized as being partly responsible for such inconsistencies. The source of information used to identify crash-involved drivers has been identified as one such difference. This paper reports on the agreement between self report and state record for identifying crash involved-older drivers. We also sought to determine whether the prevalence of visual and cognitive impairment differs across crash-involved drivers identified by either or both sources. Finally, we assessed whether risk factors for crash involvement differed when crash-involved drivers were identified by either self-report or state records. Results indicated that there was a moderate level of agreement between self reported and state-recorded crash involvement (kappa = 0.45). However, we did find significant differences between crash-involved drivers identified via state records and/or self report with respect to demographic (age, race), driving (annual mileage, days per week driven), and vision impairment (acuity, contrast sensitivity, peripheral visual field sensitivity, useful field of view). We also found that the possibility for biased measures of association is real. Useful field of view impairment was associated with both self reported and state-recorded crash involvement; however, the magnitude of the associations was disparate. Moreover, glaucoma was identified as a significant risk factor when considering state-recorded crashes but not self reported crashes. While validation of these findings is required, research designed to identify risk factors for crash involvement among older drivers should carefully consider the issue of case definition, particularly if self report is used to identify crash-involved older drivers.
机译:年长的司机每行驶一英里的事故率很高。伴随着道路上老年驾驶员数量的增长,这引起了人们对确定老年驾驶员风险增加的因素的兴趣。但是,有关碰撞事故的医学和功能风险因素的许多现有研究通常是不一致的。假设研究之间的方法论差异是造成这种不一致的部分原因。用于识别与崩溃相关的驱动程序的信息源已被识别为这种差异之一。本文报告了自我报告和状态记录之间的协议,以识别涉及崩溃的旧驱动程序。我们还试图确定视觉和认知障碍的患病率是否在由一个或两个来源确定的与撞车有关的驾驶员之间有所不同。最后,我们评估了通过自我报告或状态记录识别出与撞车有关的驾驶员时撞车涉及的风险因素是否有所不同。结果表明,自我报告和国家记录的碰撞事故之间存在适度的协议(kappa = 0.45)。但是,我们确实发现了通过状态记录和/或自我报告确定的与撞车有关的驾驶员之间在人口统计(年龄,种族),驾驶(年度里程,每周驾驶天数)和视力障碍(敏锐度,对比敏感度)之间的显着差异,周边视野敏感度,有用的视野)。我们还发现有偏见的关联度量的可能性是真实的。有用的视野损害与自我报告和国家记录的坠机事故相关;但是,协会的规模是完全不同的。此外,在考虑状态记录的碰撞而不是自我报告的碰撞时,青光眼被认为是重要的危险因素。尽管需要对这些发现进行验证,但旨在识别老年驾驶员撞车事故风险因素的研究应谨慎考虑案例定义的问题,尤其是如果使用自我报告来识别与撞车有关的老年驾驶员。

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