School of Architecture and Architectural Engineering, Hanyang University-ERICA, Room #210, Engineering II, 55 Hanyangdaehak-ro, Sangnok-gu, 15588, Ansan, Gyeonggi-do, Republic of Korea.
College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave, Chicago, IL, 60602, USA.
BMC Public Health. 2021 Nov 5;21(1):2014. doi: 10.1186/s12889-021-12062-3.
Commercial vehicle accidents are the leading cause of occupational fatalities and an increased risk of traffic accidents is associated with excessive fatigue, other health problems as well as poor sleep during work. This study explores individual and occupational factors associated with different levels of daytime sleepiness and identifies their association with driving risk among occupational drivers working at construction sites.
This cross-sectional and correlational study adopted a self-reported questionnaire of Korean construction drivers (N = 492). The data were collected from October 2018 to February 2019 using a battery of six validated instruments about participants' sociodemographic, health-related, and occupational characteristics. One-way ANOVA and multinomial logistic regression were conducted using IBM SPSS WIN/VER 25.0, with a two-tailed alpha of .05.
Based on the Epworth Sleepiness Scale, "moderate" (31.7%) and "severe" (10.2%) daytime sleepiness groups were identified. There were significant differences in break time, driving fatigue, depressive symptom, subjective sleep quality, physical and mental health, and driving risk among the three groups (all p-values < .001). Driving fatigue (Adjusted Odds Ratio [aOR] = 1.08, 1.17), depressive symptoms (aOR = 0.91, 0.98), subjective sleep quality (aOR = 1.18 in moderate only), and driving over the speed limit (aOR = 1.43, 2.25) were significant factors for determining "moderate" and "severe" daytime sleepiness groups, respectively.
A significant number of construction drivers experience excessive daytime sleepiness; thus it is important to reduce the negative impact of driving fatigue and other factors on daytime sleepiness. Our study findings suggest that occupational health care providers should pay attention to development and implementation of health management interventions to reduce driving fatigue that incorporate the drivers' physical, mental, and occupational factors. Professional organizations need to establish internal regulations and public policies to promote health and safety among occupational drivers who specifically work at construction sites.
商用车事故是职业性死亡的主要原因，过度疲劳、其他健康问题以及工作期间睡眠不佳会增加发生交通事故的风险。本研究探讨了与不同程度日间困倦相关的个体和职业因素，并确定了它们与建筑工地职业驾驶员驾驶风险之间的关系。
这是一项横断面和相关性研究，采用了一份针对韩国建筑驾驶员的自我报告问卷（N=492）。这些数据是在 2018 年 10 月至 2019 年 2 月期间，使用一系列六个经过验证的工具收集的，这些工具涉及参与者的社会人口统计学、健康相关和职业特征。采用 IBM SPSS WIN/VER 25.0 进行单因素方差分析和多项逻辑回归分析，双侧α值为 0.05。
根据埃普沃斯嗜睡量表（Epworth Sleepiness Scale），确定了“中度”（31.7%）和“重度”（10.2%）日间困倦组。在三组之间，休息时间、驾驶疲劳、抑郁症状、主观睡眠质量、身心健康和驾驶风险存在显著差异（均 p 值<.001）。驾驶疲劳（调整后的优势比[aOR]=1.08，1.17）、抑郁症状（aOR=0.91，0.98）、主观睡眠质量（仅中度时为 aOR=1.18）和超速驾驶（aOR=1.43，2.25）是确定“中度”和“重度”日间困倦组的显著因素。
相当数量的建筑驾驶员存在过度日间困倦；因此，减少驾驶疲劳和其他因素对日间困倦的负面影响非常重要。我们的研究结果表明，职业保健提供者应关注开发和实施健康管理干预措施，以减少驾驶疲劳，这些干预措施应纳入驾驶员的身体、心理和职业因素。专业组织需要制定内部规定和公共政策，以促进专门在建筑工地工作的职业驾驶员的健康和安全。
