LaGoy Alice D, Conkright William R, Proessl Felix, Sinnott Aaron M, Beckner Meaghan E, Jabloner Leslie, Eagle Shawn R, Sekel Nicole M, Roma Peter G, Dretsch Michael N, Flanagan Shawn D, Mi Qi, Nindl Bradley C, Germain Anne, Connaboy Christopher, Ferrarelli Fabio
Neuromuscular Research Laboratory/Warrior Human Performance Research Center, Department of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Neuromuscular Research Laboratory/Warrior Human Performance Research Center, Department of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sleep Health. 2023 Feb;9(1):93-99. doi: 10.1016/j.sleh.2022.10.013. Epub 2022 Dec 9.
Military personnel must maintain physical performance despite exposure to operational stressors such as sleep loss, caloric restriction and high cognitive load. Habitual sleep and specific sleep features are positively associated with fitness and may contribute to physical performance in operational settings. Further, by affecting muscle recovery, sleep may contribute to the ability to maintain performance across multiple days of exposure to operational stressors.
We examined the role of individual differences in baseline sleep on baseline physical performance and on change in physical performance throughout exposure to simulated military operational stress (SMOS).
Military personnel (36 male, 9 female, 26.3 ± 5.3 years) completed a 5-day SMOS protocol during which they completed a tactical mobility test daily. Sleep questionnaires were administered at intake and sleep was monitored each night with polysomnography. Lasso regressions were used to identify meaningful predictors of physical performance at baseline and of change in physical performance across SMOS.
Better aerobic fitness, lower daytime sleepiness (Epworth Sleepiness Scale), and lower absolute slow wave activity (0.5-4 Hz) predicted better physical performance at baseline (66.1% of variance explained), but did not relate to changes in performance.
Collectively, higher daytime sleepiness and slow wave activity may reflect more chronic exposure to insufficient sleep and higher baseline sleep drive, which in turn led to compromised physical performance. The findings suggest that low self-report sleepiness and low objective slow wave activity may reflect two quantifiable markers of healthy sleep behaviors that have implications for operational performance.
军事人员必须在面临诸如睡眠不足、热量限制和高认知负荷等作战应激源的情况下保持身体机能。习惯性睡眠和特定睡眠特征与体能呈正相关,可能有助于在作战环境中保持身体机能。此外,通过影响肌肉恢复,睡眠可能有助于在连续多日暴露于作战应激源的情况下保持身体机能。
我们研究了基线睡眠的个体差异对基线身体机能以及在整个模拟军事作战应激(SMOS)暴露期间身体机能变化的作用。
军事人员(36名男性,9名女性,26.3±5.3岁)完成了一项为期5天的SMOS方案,在此期间他们每天完成一次战术机动性测试。在入组时发放睡眠问卷,并每晚用多导睡眠图监测睡眠情况。使用套索回归来确定基线时身体机能以及整个SMOS期间身体机能变化的有意义预测因素。
更好的有氧适能、更低的日间嗜睡程度(爱泼沃斯嗜睡量表)和更低的绝对慢波活动(0.5 - 4赫兹)预测了基线时更好的身体机能(解释了66.1%的方差),但与机能变化无关。
总体而言,更高的日间嗜睡程度和慢波活动可能反映了长期暴露于睡眠不足和更高的基线睡眠驱动力中,进而导致身体机能受损。研究结果表明,低自我报告嗜睡程度和低客观慢波活动可能反映了健康睡眠行为的两个可量化指标,对作战表现有影响。