Lim See Ming, Chia Sin Eng
National University Health System, National University Hospital, 1E Kent Ridge Road, Tower Block, Level 6, Singapore 119228.
Singapore Med J. 2015 Feb;56(2):92-7. doi: 10.11622/smedj.2014169.
Driver fatigue is one of the biggest health and safety concerns within the road transport sector. This study aimed to find out the prevalence of fatigue among taxi drivers in Singapore, to better understand the general working and health conditions of this group of people and to determine the risk factors associated with fatigued driving.
A total of 340 taxi drivers were randomly selected for participation in this self-administered questionnaire survey, with height and weight measurements. The response rate was 68.2%. The survey consisted of four main categories: personal particulars; social habits; work patterns and sleep profile; and Epworth Sleepiness Scale, which was used to estimate the level of daytime sleepiness and fatigue. Multiple logistic regression analysis was used to estimate the adjusted odd ratios and 95% confidence intervals associated with the risk factors related to fatigue among the taxi drivers.
A high proportion of the taxi drivers were obese and had self-reported hypertension, diabetes mellitus and high cholesterol. Driver fatigue was associated with very poor/poor self-rating of the quality of sleep, having an additional part-time job, drinking three or more caffeinated drinks daily, and driving more than 10 hours a day.
We hope that the findings of the present study will improve the awareness regarding the work and health conditions of taxi drivers, and contribute toward the effort to achieve a healthier workforce. A lower prevalence of fatigued driving will lead to lower risks of road traffic accidents, decreased economic loss, increased productivity, and safer roads for all.
驾驶员疲劳是道路运输行业最大的健康与安全问题之一。本研究旨在查明新加坡出租车司机的疲劳患病率,以便更好地了解这一群体的总体工作和健康状况,并确定与疲劳驾驶相关的风险因素。
总共随机选取340名出租车司机参与这项自行填写的问卷调查,并测量身高和体重。回复率为68.2%。该调查包括四个主要类别:个人信息;社会习惯;工作模式与睡眠状况;以及爱泼沃斯思睡量表,该量表用于评估白天的嗜睡和疲劳程度。采用多元逻辑回归分析来估计与出租车司机疲劳相关风险因素的调整比值比和95%置信区间。
很大一部分出租车司机肥胖,且自我报告患有高血压、糖尿病和高胆固醇。驾驶员疲劳与睡眠质量自评非常差/差、有额外的兼职工作、每天饮用三杯或更多含咖啡因饮料以及每天驾驶超过10小时有关。
我们希望本研究的结果能提高对出租车司机工作和健康状况的认识,并有助于努力打造更健康的劳动力队伍。较低的疲劳驾驶患病率将降低道路交通事故风险、减少经济损失、提高生产力,并为所有人带来更安全的道路。