Garbarino Sergio, Magnavita Nicola, Guglielmi Ottavia, Maestri Michelangelo, Dini Guglielmo, Bersi Francesca Maria, Toletone Alessandra, Chiorri Carlo, Durando Paolo
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences (DINOGMI), University of Genoa, Genoa, Italy.
Department of Health Sciences, Postgraduate School in Occupational Medicine, University of Genoa, Genoa, Italy.
PLoS One. 2017 Oct 31;12(10):e0187256. doi: 10.1371/journal.pone.0187256. eCollection 2017.
Sleep-related problems are known risk factors for road accidents. However, very few studies have investigated the role played by insomnia and its components, and no data are available for a population of occupational drivers at risk, such as the truck driver category.
To measure the prevalence and impact of insomnia on motor vehicle accidents (MVAs) and near-miss accidents (NMAs) in 949 truck drivers.
Cross-sectional survey.
Insomnia affected 27.5% of the sample. Compared to other drivers, in the 3 years prior to the study, truck drivers with insomnia had reported a significantly higher number of MVAs; they had also reported a greater number of NMAs in the previous 6 months. After correction for the presence of obstructive sleep apnea, excessive daytime sleepiness, short sleep duration, and other concurrent diseases, insomniac truck drivers had an almost two-fold risk of driving accidents (OR: 1.82, CI 95%:1.33-2.49) and a more than three-fold increased risk of near-miss accidents (OR: 3.35, CI95%:2.06-5.45) compared to non-insomniac drivers.
Insomnia emerged as an independent risk factor for MVAs and NMAs. We strongly advise screening commercial drivers for signs and symptoms of insomnia in order to improve health and safety on the road.
与睡眠相关的问题是道路交通事故已知的风险因素。然而,很少有研究调查失眠及其组成部分所起的作用,并且对于处于风险中的职业驾驶员群体,如卡车司机群体,尚无相关数据。
测量949名卡车司机中失眠对机动车事故(MVA)和险些发生的事故(NMA)的患病率及影响。
横断面调查。
失眠影响了27.5%的样本。与其他司机相比,在研究前的3年里,患有失眠的卡车司机报告的机动车事故数量显著更高;他们在之前6个月里报告的险些发生的事故数量也更多。在校正了阻塞性睡眠呼吸暂停、白天过度嗜睡、短睡眠时间和其他并发疾病的存在后,与非失眠司机相比,失眠的卡车司机发生驾驶事故的风险几乎高出两倍(比值比:1.82,95%置信区间:1.33 - 2.49),险些发生事故的风险增加了三倍多(比值比:3.35,95%置信区间:2.06 - 5.45)。
失眠是机动车事故和险些发生的事故的独立风险因素。我们强烈建议对商业驾驶员进行失眠体征和症状的筛查,以改善道路健康和安全状况。