Maycock G
Transport Research Laboratory, Crowthorne, U.K.
Accid Anal Prev. 1997 Jul;29(4):453-62. doi: 10.1016/s0001-4575(97)00024-9.
This paper presents the results of a postal questionnaire survey of just over 4600 male drivers aimed at exploring the relationship between accidents and daytime sleepiness. Drivers in this survey provided details of the accidents they had experienced in the last 3 years, and identified those factors they thought had contributed to their accidents. In addition to the normal demographic and exposure variables, drivers completed the Epworth scale measuring daytime sleepiness. Drivers also reported whether they had felt close to falling asleep whilst driving during the past 12 months and whether the car they drove most was privately or company owned. The analysis of this data has identified the characteristics of tiredness-related accidents. The probability of feeling close to falling asleep at the wheel has been related to demographic variables and the Epworth score using a logistic model. Drivers reported that ca 7% of accident involvements were associated with tiredness (ca 9-10% of accidents). The accident liability of the drivers has been evaluated using a multivariate statistical model; for some drivers, accident liability is shown to be sensitive to daytime sleepiness.
本文介绍了一项针对4600多名男性驾驶员的邮政问卷调查结果,旨在探究事故与日间嗜睡之间的关系。参与此次调查的驾驶员提供了他们在过去3年中所经历事故的详细情况,并指出了他们认为导致事故的因素。除了常规的人口统计学和暴露变量外,驾驶员还完成了用于测量日间嗜睡程度的爱泼华嗜睡量表。驾驶员们还报告了在过去12个月中他们在开车时是否感觉快要睡着,以及他们最常驾驶的汽车是私家车还是公司车辆。对这些数据的分析确定了与疲劳相关事故的特征。使用逻辑模型将在驾驶时感觉快要睡着的概率与人口统计学变量和爱泼华得分联系起来。驾驶员报告称,约7%的事故与疲劳有关(约占事故总数的9 - 10%)。已使用多元统计模型评估了驾驶员的事故责任;对于一些驾驶员而言,事故责任表现出对日间嗜睡较为敏感。