Association between the risk of aberrant driving behavior and sleep disorder indices: A pilot study involving urban taxi drivers

IF 3.2 3区 工程技术 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Journal of Transport & Health Pub Date : 2024-11-14 DOI:10.1016/j.jth.2024.101942
Peizheng Wang , Zhihe Chen , Wen-Te Liu , Arnab Majumdar , Cheng-Yu Tsai
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Abstract

Aberrant driving behaviors (ADBs) may degrade road safety and pose significant dangers to both drivers and the public. Taxi drivers, who regularly work in complex urban environments for extended periods, are at a higher risk of ADBs. While many studies have focused on the development of ADBs, limited research has examined impacts of sleep-related factors. In this study, we investigated associations between the occurrence of ADBs and sleep-disordered indices. Thirty-one taxi drivers were recruited and monitored over four consecutive days and nights, with daytime driving behaviors tracked after nighttime sleep was assessed. The severity of obstructive sleep apnea (OSA) was measured using the apnea-hypopnea index (AHI) through hospital-based polysomnography, while sleep-disordered indices were recorded at home using wearable devices. Driving behavioral data were collected via navigation software. Statistical regression models were used to explore relationships between ADBs and sleep-disordered indices. Key findings include that drivers with severe OSA exhibited significantly higher ADB event frequencies per kilometer compared to those without severe OSA. Home-based sleep-disordered indices, such as higher cyclic variation of the heart rate index (CVHRI) and chest effort index (CEI), were significantly associated with an increased frequency of ADB events the following day, with respective beta coefficients of 0.062 and 0.111. These associations remained significant after adjusting for potential confounders. Our findings suggest a strong link between sleep-disordered indices and the occurrence of ADBs among taxi drivers, emphasizing the importance of addressing sleep health to reduce ADB risks.
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异常驾驶行为风险与睡眠障碍指数之间的关联:针对城市出租车司机的试点研究
异常驾驶行为(ADBs)可能会降低道路安全,给驾驶员和公众都带来极大的危险。出租车司机经常长时间在复杂的城市环境中工作,发生异常驾驶行为的风险较高。虽然许多研究都集中在亚得里亚海海啸的发展上,但对睡眠相关因素影响的研究却很有限。在这项研究中,我们调查了 ADB 的发生与睡眠障碍指数之间的关联。我们招募了 31 名出租车司机,对他们进行了连续四昼夜的监测,并在夜间睡眠评估后对白天的驾驶行为进行了跟踪。阻塞性睡眠呼吸暂停(OSA)的严重程度是通过医院的多导睡眠监测仪用呼吸暂停-低通气指数(AHI)来测量的,而睡眠障碍指数则是在家中用可穿戴设备记录的。驾驶行为数据通过导航软件收集。统计回归模型用于探讨 ADB 与睡眠障碍指数之间的关系。主要发现包括:与无严重 OSA 的驾驶员相比,患有严重 OSA 的驾驶员每公里的 ADB 事件频率明显更高。基于家庭的睡眠障碍指数,如较高的心率指数周期变化(CVHRI)和胸部用力指数(CEI),与次日 ADB 事件频率的增加显著相关,贝塔系数分别为 0.062 和 0.111。在对潜在的混杂因素进行调整后,这些相关性仍然很明显。我们的研究结果表明,出租车司机的睡眠障碍指数与亚健康状态发生率之间存在密切联系,强调了解决睡眠健康问题以降低亚健康状态发生率风险的重要性。
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来源期刊
CiteScore
6.10
自引率
11.10%
发文量
196
审稿时长
69 days
期刊最新文献
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