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Perceived Workload Is Associated with Cabin Crew Fatigue on Ultra-Long Range Flights

机译:感知到的工作负载与机组人员疲劳超长距离航班

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Objective: This study aimed to determine whether on ultra-long range (ULR) flights, perceived workload is an independent predictor of cabin crew fatigue at top-of-descent (TOD) and if so, to what degree it is associated with cabin crew fatigue relative to sleep-related factors.Background: Current ULR scheduling for cabin crew is predominantly based on flight crew data. However, cabin crew workload is very different in nature to that of flight crew.Method: Fifty-five cabin crew wore an actigraph and completed a sleep/duty diary to monitor sleep during a ULR trip. At TOD, crewmembers completed a 5-min Psychomotor Vigilance Task (PVT), rated their sleepiness (Karolinska Sleepiness Scale) and fatigue (Samn-Perelli Crew Status Check), and after landing their workload (NASA Task Load Index).Results: When workload was perceived as higher, crewmembers felt more sleepy and fatigued and had more PVT lapses at TOD. The effect of workload on sleepiness was larger (Cohen's f(2) = .27) than the duration of wakefulness (Cohen's f(2) = .14), but the effect of workload on fatigue (Cohen's f(2) = .17) was smaller than the duration of wakefulness (Cohen's f(2) = .24). Lapses were not associated with sleep history, whereas workload had a small effect (Cohen's f(2) = .14).Conclusion: Workload as a fatigue factor for cabin crew warrants ongoing monitoring. This can be achieved by including a workload question in fatigue reports as an essential component in Fatigue Risk Management Systems.
机译:摘要目的:本研究旨在确定在超长距离(ULR)航班,感知工作负载是小屋的独立预测指标船员疲劳在top-of-descent (TOD),如果是这样,在多大程度上是与机组人员有关疲劳相对于睡眠的因素。机组人员主要是基于机组人员数据。不同性质的飞行船员。长短和完成睡眠/职责的日记监测睡眠期间ULR旅行。宇航员完成了5分钟的精神运动警戒任务(PVT),额定困倦(卡罗林斯卡嗜睡量表)和疲劳(Samn-Perelli船员状态检查),后登陆他们的工作量(美国国家航空航天局任务负载索引)。高,机组人员感到困倦和疲惫和有更多的PVT失误在托托。工作负载在睡意大(科恩的f (2) =10)比清醒的时间(科恩f(2) = .14点),但是工作负载的影响疲劳(f (2) = .17 Cohen)是小于清醒时间(f (2) = .24 Cohen)。失误并不与睡眠相关的历史,而工作量小的影响(科恩的f (2)= .14点)。为机组人员认股权证进行监控。可以通过包括一个工作负载的问题吗在疲劳的报告作为一个重要组成部分疲劳风险管理系统。

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