This study examined the shift parameters that contribute to sleep loss and on-duty fatigue in British Columbia Wildfire Service (BCWS) firefighters using sleep–wake data, work–rest data and alertness and fatigue predictions from a biomathematical model (BMM) of fatigue. A total of 40 firefighters (age: 30.4 ± 11.6 years; 13 F, 26 M) volunteered over a 14-day consecutive fireline deployment, followed by a 3-day rest period, at two separate fires in British Columbia (during the 2015 fire season). Sleep–wake data were obtained using a wrist-worn accelerometer and self-reported sleep logs. Shift start and end times were provided by the BCWS at the completion of the study. Sleep and shift data were manually entered into a validated BMM (Circadian Alertness Simulator) to generate fatigue scores and shift work patterns. Shift duration was the major contributor to fatigue, as 46% (n = 274) of shifts were ≥14 h in length and the average shift length was 13.0 ± 0.62 h. However, none of the firefighters had a high-risk fatigue score (>60). The findings from this study indicated that using a BMM of fatigue can provide important insights into shift-work parameters that contribute to workplace fatigue and sleep loss in wildland firefighters.

这项研究使用睡眠唤醒数据，工作休息数据以及根据疲劳的生物数学模型（BMM）得出的警觉性和疲劳预测，研究了不列颠哥伦比亚省野火服务（BCWS）消防员的失眠参数和工作疲劳。在不列颠哥伦比亚省的两次独立大火中，共有40名消防员（年龄：30.4±11.6岁； 13 F，2,600万）自愿参加了连续14天的火线部署，随后为期3天的休息时间（在2015年大火期间）季节）。使用腕戴式加速度计和自我报告的睡眠日志获取睡眠/唤醒数据。在研究完成时，BCWS提供了班次的开始和结束时间。将睡眠和轮班数据手动输入到经过验证的BMM（昼夜节律模拟器）中，以生成疲劳评分和轮班工作模式。n  = 274）的班次长度≥14 h，平均班次长度为13.0±0.62 h。但是，没有一名消防员具有高风险疲劳评分（> 60）。这项研究的结果表明，使用疲劳的BMM可以为轮班工作参数提供重要的见解，而这些参数会导致野外消防员的工作场所疲劳和睡眠不足。