Sleepiness, Long Distance Commuting and Night Work as Predictors of Driving Performance
Sleepiness, Long Distance Commuting and Night Work as Predictors of Driving Performance
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DOI：
10.1371/journal.pone.0045856
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发表时间：
2012-09-21
期刊：
影响因子：
3.7
通讯作者：
Akerstedt, Torbjorn
中科院分区：
文献类型：
--
作者：
Di Milia, Lee;Rogers, Naomi L.;Akerstedt, Torbjorn
很少有研究调查夜班工作和长途通勤的影响。我们研究了几个与睡眠相关的人口统计变量、通勤距离、夜间工作和使用移动的手机对驾驶性能的影响。我们采用前瞻性设计招募参与者，并进行了电话调查（n = 649）。该调查收集了参与者被招募当天的人口统计和旅行细节，工作和睡眠历史以及驾驶表现。参与者还完成了卡罗林斯卡嗜睡量表和埃普沃思嗜睡量表。夜班工作者报告说，他们更容易困倦，睡眠时间更短，通勤距离更长。七个变量是显着的预测车道交叉。最强的预测因素是急性嗜睡（OR = 5.25，CI，1.42-19.49，p < 0.01）（OR = 3.61，CI，1.66-7.81，p < 0.001），前48小时睡眠不足10小时（OR = 2.58，CI，1.03-6.46，p < 0.05），夜班后开车（OR = 2.19，CI，1.24-3.88，p < 0.001），
Few studies have examined the effect of working night shift and long distance commuting. We examined the association between several sleep related and demographic variables, commuting distance, night work and use of mobile phones on driving performance. We used a prospective design to recruit participants and conducted a telephone survey (n = 649). The survey collected demographic and journey details, work and sleep history and driving performance concerning the day the participant was recruited. Participants also completed the Karolinska Sleepiness Scale and the Epworth Sleepiness Scale. Night workers reported significantly more sleepiness, shorter sleep duration and commuting longer distances. Seven variables were significant predictors of lane crossing. The strongest predictor was acute sleepiness (OR = 5.25, CI, 1.42-19.49, p < 0.01) followed by driving >= 150 kms (OR = 3.61, CI, 1.66-7.81, p < 0.001), obtaining less than 10 hours sleep in the previous 48 hours (OR = 2.58, CI, 1.03-6.46, p < 0.05), driving after night shift (OR = 2.19, CI, 1.24-3.88, p < 0.001), being