Gharibi Vahid, Mokarami Hamidreza, Cousins Rosanna, Jahangiri Mehdi, Eskandari Davood
Department of Occupational Health, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
Department of Occupational Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Int J Occup Environ Med. 2020 Apr;11(2):95-107. doi: 10.34172/ijoem.2020.1872.
Sleep disorders and excessive daytime sleepiness negatively affect employees' safety performance.
To investigate the relationship between excessive daytime sleepiness with obstructive sleep apnea and safety performance at an oil construction company in Iran.
661 employees consented to participate in this study. Excessive daytime sleepiness was measured with the STOP-BANG questionnaire and Epworth Sleepiness Scale (ESS). To determine how sleepiness would affect the studied occupational incidents, accidents causing injury and near misses, both reactive data and proactive safety performance indices were measured. Demographic and predictor variables were analyzed with hierarchical multiple linear regression.
Employees who met the criteria of excessive daytime sleepiness and obstructive sleep apnea had significantly poorer safety performance indicators. STOP-BANG and ESS were significant predictors of safety compliance ( 0.228 and 0.370, respectively), safety participation ( 0.210 and 0.144, respectively), and overall safety behavior ( 0.332 and 0.213, respectively). Further, occupational incidents were 2.5 times higher in workers with indicators of excessive daytime sleepiness and 2 times higher in those with obstructive sleep apnea compared with those without.
These findings confirmed that excessive daytime sleepiness is a serious safety hazard, and that both reactive and proactive measures are important to understand the relative contribution of predictor variables.
睡眠障碍和日间过度嗜睡会对员工的安全绩效产生负面影响。
调查伊朗一家石油建筑公司中，日间过度嗜睡与阻塞性睡眠呼吸暂停之间的关系以及它们与安全绩效的关系。
661名员工同意参与本研究。采用STOP-BANG问卷和爱泼沃斯思睡量表（ESS）测量日间过度嗜睡情况。为了确定嗜睡如何影响所研究的职业事件、造成伤害的事故和未遂事故，同时测量了反应性数据和主动性安全绩效指标。使用分层多元线性回归分析人口统计学和预测变量。
符合日间过度嗜睡和阻塞性睡眠呼吸暂停标准的员工，其安全绩效指标明显较差。STOP-BANG问卷和ESS分别是安全合规性（分别为0.228和0.370）、安全参与度（分别为0.210和0.144）以及总体安全行为（分别为0.332和0.213）的显著预测指标。此外，与没有这些指标的员工相比，有日间过度嗜睡指标的工人发生职业事件的几率高2.5倍，有阻塞性睡眠呼吸暂停的工人发生职业事件的几率高2倍。
这些发现证实，日间过度嗜睡是一种严重的安全隐患，反应性和主动性措施对于理解预测变量的相对作用都很重要。
