Introduction: While up to 52% of heavy vehicle crashes are drowsiness-related, the contributions of schedule factors to real-time objective drowsiness in heavy vehicle drivers (HVDs) have not been studied. Eye-blink parameters are a reliable indicator of driver drowsiness. This study aimed to examine the relationship between work-related factors and objective drowsiness in HVDs. Methods: HVDs (all males, aged 49.5 ± 8 years) undertook 5- weeks of sleep-wake monitoring (Philips Actiwatch, N=15), and 4-weeks of infrared oculography (Optalert, Melbourne, Australia) to monitor their eye-blink parameters (averaged each minute) while driving their own vehicle (N=12). Participants slept for 5.75± 1.4 hours before the drives. Drowsiness events were defined as any Johns Drowsiness Scores (JDS) scores larger than 2.6 based on prior research. The relationships of schedule factors and drowsiness events per hour were assessed via mixed linear regression models. Results: Drowsiness event rates were 3–5 times greater between 22:00 and 03:00 hours compared to between 16:00 and 17:00 hours (17- 25 events/h vs 5 events/h, P= 0.0001 to 0.007). The frequency of drowsiness events at night varied with shift start time and time into shift (P= 0.0001 to 0.001). Compared to the first hour of driving, drowsiness event rates rose significantly during the 13th to the 21st hours into the shift (13- 59 events/h vs 5.5 events/h, P= 0.0001 to 0.007). During sequential night shifts drowsiness events were 1.8 times more common compared to 1–3 sequential day shifts (9 events/h vs 5 events/h, P= 0.012 to 0.019). Conclusion: Driving at night, for more than 12 hours and sequential night shifts increase real-time drowsiness in HVDs, with these factors interacting resulting in even higher rates of drowsiness events. Longitudinal studies in larger populations will further define how these factors interact to inform the work scheduling of HVDs to reduce the risk of drowsiness. Support: This research was supported by the CRC for Alertness, Safety and Productivity.

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0286 重型车辆驾驶员的时间表特征与道路上实时困倦的眨眼指标相关

简介：虽然高达 52% 的重型车辆碰撞与困倦有关，但尚未研究进度因素对重型车辆驾驶员 (HVD) 实时客观困倦的贡献。眨眼参数是驾驶员困倦的可靠指标。本研究旨在检查 HVD 中工作相关因素与客观嗜睡之间的关系。方法：HVD（所有男性，年龄 49.5 ± 8 岁）进行了 5 周的睡眠-觉醒监测（Philips Actiwatch，N=15）和 4 周的红外眼部造影术（Optalert，墨尔本，澳大利亚）以监测他们的眼睛-驾驶自己的车辆 (N=12) 时闪烁参数（每分钟平均）。参与者在开车前睡了 5.75±1.4 小时。嗜睡事件被定义为基于先前研究的任何大于 2.6 的 Johns 嗜睡评分 (JDS) 评分。通过混合线性回归模型评估时间表因素和每小时嗜睡事件的关系。结果：与 16:00 和 17:00 之间相比，22:00 和 03:00 之间的困倦事件发生率高 3-5 倍（17-25 个事件/小时 vs 5 个事件/小时，P = 0.0001 到 0.007） . 夜间嗜睡事件的频率随轮班开始时间和轮班时间而变化（P = 0.0001 至 0.001）。与驾驶的第一个小时相比，在轮班的第 13 到 21 小时内，困倦事件发生率显着上升（13-59 个事件/小时 vs 5.5 个事件/小时，P = 0.0001 至 0.007）。在连续夜班期间，睡意事件比连续 1-3 次白班更常见 1.8 倍（9 个事件/小时 vs 5 个事件/小时，P = 0.012 至 0.019）。结论：晚上开车，超过 12 小时和连续的夜班会增加 HVD 的实时睡意，这些因素相互作用导致睡意事件的发生率更高。在更大人群中进行的纵向研究将进一步定义这些因素如何相互作用，以告知 HVD 的工作安排，以降低困倦的风险。支持：这项研究得到了 CRC 的警觉性、安全性和生产力的支持。