Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Psychology, Stress Research Institute, University of Stockholm, Stockholm, Sweden.
J Sleep Res. 2021 Oct;30(5):e13305. doi: 10.1111/jsr.13305. Epub 2021 Feb 25.
Aircrew fatigue constitutes a safety hazard in aviation, which authorities attempt to mitigate through flight time limitations. Some gaps in knowledge exist, however. The purpose of the present study was to investigate the associations of schedule characteristics with fatigue and amount of sleep in the acute 24-h window, and as cumulative effects across the 7-day work period. One hundred and six aircrew (14% cabin crew) participated. They rated fatigue on the Karolinska Sleepiness Scale (KSS) three times per flight day for four 7-day work periods, with up to 7 days off between work periods. Mixed model regression was applied to the data. In the multivariable model, more sleep was associated with lower fatigue (p = .000)), corresponding to 0.26 KSS units less per hour of sleep. Very early, early and late duty types, as well as duty time, were associated with higher fatigue. For the 7-day work period, accumulation of very early duties and longer duty time were associated with increased fatigue, and more accumulated sleep was associated with lower fatigue in the adjusted model (0.08 KSS units per hour of sleep) (p = .000). Accumulated duty time was not significant when analysed as a single variable, but became so after adjustment for sleep. The results suggest that sleep, duty time and early starts are important predictors of fatigue in the 24-h window and that the number of very early starts and short sleep have cumulative effects on fatigue across a 7-day work period.
机组人员疲劳是航空安全的一个隐患,当局试图通过飞行时间限制来减轻这种情况。然而,目前仍存在一些知识上的差距。本研究的目的是调查排班特点与疲劳和 24 小时内睡眠时间之间的关系,以及在 7 天工作期间的累积效应。共有 106 名机组人员(14%为空乘人员)参与了研究。他们在四个 7 天工作周期的每个飞行日三次使用 Karolinska 嗜睡量表(KSS)评估疲劳程度,每个工作周期之间最多有 7 天的休息时间。采用混合模型回归分析数据。在多变量模型中,睡眠时间与疲劳程度呈负相关(p=0.000),即每小时睡眠时间减少 0.26 个 KSS 单位。非常早、早和晚的值班类型以及值班时间与疲劳程度增加有关。对于 7 天工作周期,非常早的值班和更长的值班时间的积累与疲劳增加有关,而更多的累计睡眠时间与调整模型中的较低疲劳相关(每小时睡眠时间减少 0.08 个 KSS 单位)(p=0.000)。在单独分析时,累积值班时间并不显著,但在调整睡眠后则变得显著。结果表明,睡眠、值班时间和早起是 24 小时内疲劳的重要预测因素,而且非常早的开始和睡眠不足的次数对 7 天工作期间的疲劳有累积影响。