Madvari Rohollah Fallah, Sefidkar Reyhane, Halvani Golam Hossein, Alizadeh Hesam Mohammad
Occupational Health Research Center, Department of Occupational Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Heliyon. 2023 Jan 10;9(1):e12904. doi: 10.1016/j.heliyon.2023.e12904. eCollection 2023 Jan.
Inadequate lighting will be associated with some degree of perceptual error such as sleepiness. The main purpose of this study was to investigate the interactions between mood, fatigue, mental workload, and sleepiness and their relationship with quantitative indicators of street lighting in passenger car drivers. The present study was a cross-sectional study that was performed on 270 drivers of passenger cars. The quantitative indices of lighting studied were illuminance, luminance, uniformity, and disability glare which were calculated using the Hagner device (EC1-L) and according to EN 13201 standard. Alertness and mood indices, fatigue scale (SAMN-PERELLI), mental workload (NASA-TLX), positive and negative affect schedule (PANAS) were used. Generalized structural equation modeling (GSEM) was used to investigate the relationship between mood, fatigue, mental workload, and drivers' sleepiness. Data analysis was performed in version 26 of SPSS software and version 14 of Stata software There is a significant relationship between illuminance and mood (P < 0.001). There is a significant relationship between the degree of disability glare on the streets and the mood (P = 0.006). There is a significant relationship between fatigue score and mood (P < 0.001) so that with increasing one unit in fatigue scale, mood score decreases by 0.669 units (P < 0.001). Finally, it can be assured that lighting interventions can be done as an effective way to increase alertness and reduce fatigue and the mental workload of drivers with the aim of reducing night traffic accidents.
照明不足会导致某种程度的感知误差，比如困倦。本研究的主要目的是调查乘用车司机的情绪、疲劳、心理负荷和困倦之间的相互作用，以及它们与街道照明定量指标的关系。本研究为横断面研究，对270名乘用车司机进行了调查。所研究的照明定量指标为照度、亮度、均匀度和不舒适眩光，这些指标是使用哈格纳设备（EC1-L）并根据EN 13201标准计算得出的。采用了警觉性和情绪指标、疲劳量表（SAMN-PERELLI）、心理负荷（NASA-TLX）、积极和消极情绪量表（PANAS）。使用广义结构方程模型（GSEM）来研究情绪、疲劳、心理负荷与司机困倦之间的关系。数据分析使用SPSS软件26版和Stata软件14版进行。照度与情绪之间存在显著关系（P < 0.001）。街道上的不舒适眩光程度与情绪之间存在显著关系（P = 0.006）。疲劳得分与情绪之间存在显著关系（P < 0.001），即疲劳量表每增加一个单位，情绪得分下降0.669个单位（P < 0.001）。最后，可以确定的是，照明干预可以作为一种有效的方法来提高警觉性，减少司机的疲劳和心理负荷，以减少夜间交通事故。
