Xu Lin, Zhang Qianran, Dong Hongming, Qiao Dandan, Liu Yanyan, Tian Junfang, Xue Rong
Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
College of Management and Economics, Tianjin University, Tianjin, China.
Front Neurosci. 2022 Nov 11;16:1043262. doi: 10.3389/fnins.2022.1043262. eCollection 2022.
Insomnia is associated with fatigue and poor driving performance, thus increasing the risk of traffic accidents. This study aimed to evaluate the effect of fatigue on driving in patients with chronic insomnia in a free-flow traffic scenario and car-following scenario, and to investigate the relationships between driving performance, cognitive function, and insomnia. The Trail Making Test (TMT), Stroop Color and Word Test (SCWT), Symbol Digit Modalities Test (SDMT), and Digit Span Test (DST) of 15 participants with mild-to-moderate chronic insomnia and 16 healthy participants were assessed. During the fatigue driving task, drivers completed simulated driving tasks under free-flow traffic and car-following scenarios. The mean speed (MS), mean acceleration (MA), mean lateral position (MLP), and standard deviation of lateral position (SDLP) were measured to assess driving performance. During fatigued tasks, the MA and MLP in the free-driving scenario were higher than those in the car-following scenario ( < 0.01), the SDLP was higher in the insomnia group than in the healthy group ( = 0.02), and the interaction effect was significantly different for MLP between the groups ( = 0.03). MS was negatively correlated with TMT score, SDMT score, and DST score, and positively correlated with time to complete TMT, errors in SCWT, and time to complete SCWT. SDLP was negatively correlated with DST score and positively correlated with time to complete SCWT. Furthermore, the insomnia group had poorer lateral vehicle control ability than the healthy group. The insomnia group had a more impaired driving performance in the free-driving scenario than in the car-following scenario. Drivers with impaired cognitive function exhibited impaired driving performance.
失眠与疲劳及驾驶表现不佳有关,从而增加了交通事故风险。本研究旨在评估疲劳对慢性失眠患者在自由流交通场景和跟车场景下驾驶的影响,并探究驾驶表现、认知功能与失眠之间的关系。对15名轻度至中度慢性失眠参与者和16名健康参与者进行了连线测验(TMT)、斯特鲁普颜色和文字测验(SCWT)、符号数字模式测验(SDMT)及数字广度测验(DST)。在疲劳驾驶任务中,驾驶员在自由流交通和跟车场景下完成模拟驾驶任务。测量平均速度(MS)、平均加速度(MA)、平均横向位置(MLP)和横向位置标准差(SDLP)以评估驾驶表现。在疲劳任务期间,自由驾驶场景下的MA和MLP高于跟车场景(<0.01),失眠组的SDLP高于健康组(=0.02),且两组之间MLP的交互效应有显著差异(=0.03)。MS与TMT分数、SDMT分数和DST分数呈负相关,与完成TMT的时间、SCWT中的错误及完成SCWT的时间呈正相关。SDLP与DST分数呈负相关,与完成SCWT的时间呈正相关。此外,失眠组的车辆横向控制能力比健康组差。失眠组在自由驾驶场景下的驾驶表现比跟车场景下更差。认知功能受损的驾驶员表现出驾驶表现受损。