Fatigue-induced impairments in neurobehavioral performance capacity may compromise safety in 24-hr operational environments, and developing reliable and valid methods of identifying work/rest patterns that produce fatigue and undermine performance is important. The Sleep, Activity, Fatigue, and Task Effectiveness model (SAFTE; Hursh et al., 2004) is among the more mature fatigue models currently used in military, shift-work, and various transportation operations. The SAFTE model was constructed empirically, integrating classical physiological and circadian processes with task effectiveness predictions based on the scientific literature of standardized laboratory tests. SAFTE has been validated against accident risk in railroad operations; however, as with virtually all fatigue models, the extent to which variations in model predictions correspond to variations in actual performance capacity in the aviation environment is largely unknown. The present report offers a field validation of the SAFTE model using data from a broad sample of 178 aviation cabin crew from the 2009-2010 FAA Civil Aerospace Medical Institute (CAMI)-sponsored Flight Attendant Field Study (Roma et al., 2010). Data were collected daily throughout each individual's continuous 3 to 4-week study period. Objective sleep/wake patterns were determined via actigraphy. In addition, a personal digital assistant device was used to maintain an activity log documenting work schedules and locations, and neurobehavioral performance capacity was assessed via standardized 5-min Psychomotor Vigilance Tests (PVT) taken before and after each work day and sleep episode. Individual sleep, wake, and work patterns were entered into the Fatigue Avoidance Scheduling Tool (FAST) software for continuous records of Predicted Effectiveness (PVT Speed 1/Reaction Time) expressed as a percent of individual optimum baseline.


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    Flight Attendant Fatigue, Part 1: National Duty, Rest, and Fatigue Survey

    K. B. Avers / S. J. King / T. E. Nesthus et al. | NTIS | 2009


    Flight Attendant Fatigue: A Quantitative Review of Flight Attendant Comments

    K. B. Avers / D. Nei / S. J. King et al. | NTIS | 2011


    Validating and Verifying Biomathematical Models of Human Fatigue

    Martinez, Siera Brooke / Quintero, Luis Ortiz / Flynn-Evans, Erin | NTRS | 2015


    Fatigue Countermeasures: Alertness Management In Flight Operations

    Rosekind, M. R. / Southern California Safety Institute Inc / United States; Federal Aviation Administration et al. | British Library Conference Proceedings | 1994