Del Rio-Bermudez Carlos, Diaz-Piedra Carolina, Catena Andrés, Buela-Casal Gualberto, Di Stasi Leandro Luigi
Sleep Unit; Mind, Brain and Behavior Research Center-CIMCYC; University of Granada , Spain .
Chronobiol Int. 2014 May;31(4):532-41. doi: 10.3109/07420528.2013.876427. Epub 2014 Jan 8.
Among the factors associated with driving safety, sleep-related variables constitute a leading cause of road accidents. Circadian fluctuations of driver's somnolence has been previously linked to road safety. However, the role of chronotype in this relationship has been poorly investigated. Thus, the aim of the present work was to address whether driving performance is influenced by circadian patterns, in turn modulated by the driver's chronotype and the time of day (i.e. synchrony effect). We assessed 47 healthy young adults with specific chronotypes in several simulated driving sessions, both in the morning and in the evening. We collected driving performance data, along with self-reported levels of activation prior to each driving session and other sleep-related variables. Participants drove less safely when testing times took place outside their optimal time of day, as determined by their chronotype and confirmed by self-reported levels of activation. These differences were more pronounced in the morning, when morning types shown a better driving performance. Our results suggest that chronotype plays an important role as a modulator of the relationship between the time of day and driving safety. Therefore, it is necessary to acknowledge this variable in theoretical models of driving behavior, and for the improvement of occupational accidents prevention programs.
在与驾驶安全相关的因素中,与睡眠相关的变量是道路交通事故的主要原因。驾驶员嗜睡的昼夜节律波动此前已与道路安全相关联。然而,昼夜节律类型在这种关系中的作用尚未得到充分研究。因此,本研究的目的是探讨驾驶性能是否受昼夜节律模式的影响,而昼夜节律模式又受驾驶员的昼夜节律类型和一天中的时间(即同步效应)的调节。我们在上午和晚上的多个模拟驾驶环节中,对47名具有特定昼夜节律类型的健康年轻成年人进行了评估。我们收集了驾驶性能数据,以及每次驾驶环节前自我报告的激活水平和其他与睡眠相关的变量。当测试时间在由其昼夜节律类型决定并经自我报告的激活水平证实的最佳一天时间之外时,参与者的驾驶安全性较低。这些差异在上午更为明显,此时早起型的人驾驶性能更好。我们的结果表明,昼夜节律类型作为一天中的时间与驾驶安全之间关系的调节因素起着重要作用。因此,有必要在驾驶行为的理论模型中承认这一变量,并用于改进职业事故预防计划。