National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan.
Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
Int J Epidemiol. 2017 Feb 1;46(1):266-277. doi: 10.1093/ije/dyw141.
In order to support health service organizations in arranging a system for prevention of road traffic collisions (RTC), it is important to study the usefulness of sleep assessment tools. A cohort study was used to evaluate the effectiveness of subjective and objective sleep assessment tools to assess for the 6-year risk of both first RTC event only and recurrent RTC events.
The Taiwan Bus Driver Cohort Study (TBDCS) recruited 1650 professional drivers from a large bus company in Taiwan in 2005. The subjects were interviewed in person, completed the sleep assessment questionnaires and had an overnight pulse oximeter survey. Moreover, this cohort of drivers was linked to the National Traffic Accident Database (NTAD) and researchers found 139 new RTC events from 2005 to 2010. Primary outcomes were traffic collisions from NTAD, nocturnal oxygen desaturation index (ODI) from pulse oximeter, Pittsburg sleeping quality score, Epworth daytime sleepiness score, Snore Outcomes Survey score and working patterns from questionnaires. A Cox proportional hazards model and an extended Cox regression model for repeated events were performed to estimate the hazard ratio for RTC.
The RTC drivers had increased ODI4 levels (5.77 ± 4.72 vs 4.99 ± 6.68 events/h; P = 0.008) and ODI3 levels (8.68 ± 6.79 vs 7.42 ± 7.94 events/h; P = 0.007) in comparison with non-RTC drivers. These results were consistent regardless of whether ODI was evaluated as a continuous or a categorical variable. ODI4 and ODI3 levels increased the 6-year RTC risks among professional drivers even after adjusting for age, education, history of cardiovascular disease, caffeine intake, sleeping pills used, bus driving experience and shift modes. Moreover, there was an increased trend for ODI between the stratification of the number of RTCs in comparison with the non-RTC group. In the extended Cox regression models for repeated RTC events with the Anderson and Gill intensity model and Prentice-Williams-Petersen model, measurement of ODI increased hazards of the subsequent RTC events.
This study showed that an increase in the 6-year risk of RTC was associated with objective measurement of ODI for a sign of sleep-disordered breathing (SDB), but was not associated with self-reported sleeping quality or daytime sleepiness. Therefore, the overnight pulse oximeter is an effective sleep assessment tool for assessing the risk of RTC. Further research should be conducted regarding measures to prevent against SDB among professional drivers.
为了支持卫生服务机构制定预防道路交通碰撞(RTC)的系统,研究睡眠评估工具的有用性非常重要。本队列研究旨在评估主观和客观睡眠评估工具评估 6 年内首次 RTC 事件和复发性 RTC 事件风险的有效性。
2005 年,台湾大巴车司机队列研究(TBDCS)从台湾一家大型巴士公司招募了 1650 名职业司机。研究人员对这些司机进行了个人访谈、完成了睡眠评估问卷,并进行了一夜的脉搏血氧仪检测。此外,该队列的司机与国家交通事故数据库(NTAD)相关联,研究人员从 2005 年至 2010 年发现了 139 例新的 RTC 事件。主要结局指标为 NTAD 的交通事故、脉搏血氧仪的夜间氧减饱和指数(ODI)、匹兹堡睡眠质量指数、Epworth 白天嗜睡评分、鼾症结局调查评分和问卷中的工作模式。采用 Cox 比例风险模型和重复事件的扩展 Cox 回归模型来估计 RTC 的风险比。
与非 RTC 驾驶员相比,RTC 驾驶员的 ODI4 水平(5.77 ± 4.72 与 4.99 ± 6.68 事件/小时;P = 0.008)和 ODI3 水平(8.68 ± 6.79 与 7.42 ± 7.94 事件/小时;P = 0.007)更高。无论 ODI 作为连续变量还是分类变量进行评估,结果均一致。即使在调整年龄、教育程度、心血管疾病史、咖啡因摄入量、使用的安眠药、巴士驾驶经验和班次模式后,ODI4 和 ODI3 水平仍会增加专业司机 6 年内 RTC 风险。此外,与非 RTC 组相比,ODI 在分层的 RTC 数量之间呈增加趋势。在使用安德森和吉尔强度模型和普伦蒂斯-威廉姆斯-彼得森模型的重复 RTC 事件的扩展 Cox 回归模型中,ODI 的测量增加了随后 RTC 事件的发生风险。
本研究表明,6 年内 RTC 风险的增加与睡眠呼吸障碍(SDB)的客观 ODI 测量有关,但与自我报告的睡眠质量或白天嗜睡无关。因此,夜间脉搏血氧仪是评估 RTC 风险的有效睡眠评估工具。应进一步开展针对职业司机预防 SDB 的措施的研究。