Identifying Military Rotary-Wing Pilots at Increased Risk of Fatigue Using Biomathematical Modeling.

IF 0.8 4区 医学 Q4 BIOPHYSICS
Andrew Pelham, Martie Van Tongeren, Heidi Arnold, Pierluigi Cocco
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Abstract

Introduction: A study of British military rotary-wing pilots was conducted using actigraphy-driven fatigue modeling to identify groups of pilots at increased risk of fatigue.

Methods: Pilots were recruited across the three military services of the United Kingdom. Objective fatigue was predicted using wearable actigraphy and the Sleep Activity Fatigue Task Effectiveness (SAFTE) fatigue model. Subjective data were collected from daily questionnaires, including descriptions of workplace activities and subjective assessments of the subjects' fatigue levels, using Samn-Perelli scores. An assessment was then made of the relationship between their workplace activities and their subjective and objective fatigue levels.

Results: There were 38 men and 2 women recruited. The mean age was 36.4 yr (SD ± 6.5, range 26-52 yr). A total of 200 flights were undertaken, with a mean flight time of 156 min (±77.1, range 15-480). SAFTE scores were shown to decline for night-flying, declining strongly after 22:00. Pilots deployed on exercise were more likely to be subjectively and objectively fatigued, regardless of the timing of their flights. Pilots cohabiting with infants under 1 yr of age were more likely to suffer fatigue decrements than those who did not. The data suggest that inexperienced pilots find their flights more subjectively fatiguing than their instructors, but more work is needed in this domain.

Discussion: Biomathematical fatigue modeling such as SAFTE has a role in military rotary-wing aviation. Consideration should be given to its use in night-flying, flights undertaken when deployed, and for those cohabiting with infants. Pelham A, Van Tongeren M, Arnold H, Cocco P. Identifying military rotary-wing pilots at increased risk of fatigue using biomathematical modeling. Aerosp Med Hum Perform. 2025; 96(12):1043-1049.

使用生物数学模型识别疲劳风险增加的军事旋翼飞行员。
导论:一项针对英国军方旋翼机飞行员的研究使用活动驱动的疲劳模型来识别疲劳风险增加的飞行员群体。方法:在英国的三个军种中招募飞行员。使用可穿戴式活动仪和睡眠活动疲劳任务有效性(SAFTE)疲劳模型预测目标疲劳。主观数据是从日常问卷中收集的,包括工作场所活动的描述和使用Samn-Perelli分数对受试者疲劳程度的主观评估。然后对他们的工作场所活动与主观和客观疲劳程度之间的关系进行评估。结果:男性38人,女性2人。平均年龄36.4岁(SD±6.5,范围26 ~ 52岁)。总共进行了200次飞行,平均飞行时间为156分钟(±77.1,范围15-480)。夜间飞行的SAFTE分数下降,在22:00之后下降明显。无论飞行时间如何,参加锻炼的飞行员在主观上和客观上都更有可能感到疲劳。与1岁以下婴儿同住的飞行员比没有婴儿同住的飞行员更容易感到疲劳。数据表明,经验不足的飞行员在主观上比他们的教官更容易感到疲劳,但在这方面还需要做更多的工作。讨论:生物数学疲劳模型,如SAFTE在军事旋翼航空中的作用。应考虑将其用于夜间飞行、部署时进行的飞行以及与婴儿同住的人。Pelham A, Van Tongeren M, Arnold H, Cocco P.识别军用旋翼飞行员疲劳风险增加的生物数学模型。航空航天Med Hum Perform. 2025;96(12): 1043 - 1049。
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来源期刊
Aerospace medicine and human performance
Aerospace medicine and human performance PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -MEDICINE, GENERAL & INTERNAL
CiteScore
1.10
自引率
22.20%
发文量
272
期刊介绍: The peer-reviewed monthly journal, Aerospace Medicine and Human Performance (AMHP), formerly Aviation, Space, and Environmental Medicine, provides contact with physicians, life scientists, bioengineers, and medical specialists working in both basic medical research and in its clinical applications. It is the most used and cited journal in its field. It is distributed to more than 80 nations.
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