Int J Sports Physiol Perform. 2022 Mar 1;17(6):852-861. doi: 10.1123/ijspp.2021-0421. Print 2022 Jun 1.
Sleep is recognized as an important recovery strategy, yet little is known regarding its impact on postmatch fatigue. The aims of this study were to (1) describe sleep and postmatch fatigue, (2) understand how sleep is affected by contextual and match factors, and (3) assess how changes in sleep can affect postmatch fatigue.
Twenty-three male rugby union players were monitored across 1 season (N = 71 player-match observations). Actigraphy was used during preseason to establish baseline sleep quality and quantity. Sleep was then measured 1 and 2 days after each match day (MD + 1 and MD + 2). Global positioning systems, notational analysis, and rating of perceived exertion represented external and internal load from matches. Subjective wellness and a standardized run were used to characterize postmatch fatigue 2 days prior (baseline) and at MD + 1 and MD + 2. Linear mixed models established the magnitude of change (effect size [ES]) between baseline, MD + 1, and MD + 2 for sleep and postmatch fatigue. Stepwise forward selection analysis ascertained the effect of match load on sleep and the effect of sleep on postmatch fatigue. Each analysis was combined with magnitude-based decisions.
Sleep characteristics and neuromuscular and perceptual postmatch fatigue were negatively affected at MD + 1 and MD + 2 (ES = small to very large). Kickoff and travel time had the greatest effect on sleep (ES = small). Wellness and soreness were influenced by sleep (fall-asleep time and fragmentation index) and collisions, respectively (ES = small).
Sleep quality and quantity were affected independently of the match load (ie, running activity) sustained, and changes in sleep marginally affected postmatch fatigue.
睡眠被认为是一种重要的恢复策略,但对于其对赛后疲劳的影响知之甚少。本研究旨在:(1)描述睡眠和赛后疲劳;(2)了解睡眠如何受到比赛环境和比赛因素的影响;(3)评估睡眠变化如何影响赛后疲劳。
23 名男性橄榄球联盟球员在整个赛季中(N=71 名球员-比赛观察)被监测。在赛季前,使用活动记录仪来确定基线睡眠质量和数量。然后,在每个比赛日后的第 1 天和第 2 天(MD+1 和 MD+2)测量睡眠。全球定位系统、记录分析和感知运动强度代表了比赛中的外部和内部负荷。主观健康和标准化跑步用于在第 2 天(基线)和 MD+1 和 MD+2 之前描述赛后疲劳。线性混合模型确定了睡眠和赛后疲劳在基线、MD+1 和 MD+2 之间的变化幅度(效应量[ES])。逐步向前选择分析确定了比赛负荷对睡眠的影响以及睡眠对赛后疲劳的影响。每个分析都结合了基于幅度的决策。
睡眠特征以及神经肌肉和感知赛后疲劳在 MD+1 和 MD+2 时受到负面影响(ES=小到非常大)。开球和旅行时间对睡眠的影响最大(ES=小)。健康和酸痛分别受睡眠(入睡时间和碎片化指数)和碰撞的影响(ES=小)。
睡眠质量和数量独立于比赛负荷(即跑步活动)受到影响,睡眠变化对赛后疲劳的影响不大。