Lolli Lorenzo, Bonanno Daniele, Lopez Emmanuel, Di Salvo Valter
Aspire Academy, Football Performance & Science Department, Doha, Qatar; Department of Sport and Exercise Sciences, Institute of Sport, Manchester Metropolitan University, Manchester, UK.
Aspire Academy, Football Performance & Science Department, Doha, Qatar.
Sleep Med. 2024 May;117:193-200. doi: 10.1016/j.sleep.2024.03.023. Epub 2024 Mar 19.
To describe components of night-to-night variation in objective measures of sleep.
We conducted a secondary data analysis of consecutive and chronologically ordered actigraphy-based measurements for time in bed (min), time asleep (min), and wake-after-sleep onset (min). This investigation examined 575 individual night-based measures available for a sub-sample of fifty-two, male youth Middle Eastern football players tracked over a 14-day surveillance period (chronological age range: 12.1 to 16 years). Distinct multivariable-adjusted generalized additive models included each objective sleep outcome measure as dependent variable and disaggregated components of variation for night measurement-by-sleep period interaction, week part (weekday or weekend), and study participant random effects from within-subject night-to-night sleep variation.
The within-subject standard deviation (SD) of ±98 min (95% confidence interval [CI], 92 to 104 min) for time in bed, ±87 min (95%CI, 82 to 93 min) for time asleep, and ±23 min (95%CI, 22 to 25 min) for wake-after-sleep-onset overwhelmed other sources of variability and accounted for ∼44% to 53% of the overall night-to-night variation. The night measurement-by-fragmented sleep period interaction SD was ±83 min (95%CI, 44 to 156 min) for time in bed, ±67 min (95%CI, 34 to 131 min) for time asleep, and ±15 min (95%CI, 7 to 32 min) for wake-after-sleep-onset that accounted for ∼22% to 32% of each sleep outcome measure overall variability.
Substantial random night-to-night within-subject variability poses additional challenges for strategies aiming to mitigate problems of insufficient and inconsistent sleep that are detrimental to school learning and youth athlete development processes.
描述睡眠客观测量指标中夜间变化的组成部分。
我们对基于连续和按时间顺序排列的活动记录仪测量数据进行了二次数据分析，测量指标包括卧床时间（分钟）、睡眠时间（分钟）和睡眠后觉醒时间（分钟）。本研究调查了52名中东男性青年足球运动员在14天监测期内（年龄范围：12.1至16岁）的575个基于夜晚的个体测量数据。不同的多变量调整广义相加模型将每个睡眠客观结果测量指标作为因变量，并对夜间测量与睡眠阶段交互作用、周时段（工作日或周末）以及研究参与者个体夜间睡眠变化的随机效应等变异成分进行了分解。
卧床时间的个体内标准差（SD）为±98分钟（95%置信区间[CI]，92至104分钟），睡眠时间为±87分钟（95%CI，82至93分钟），睡眠后觉醒时间为±23分钟（95%CI，22至25分钟），这些数值超过了其他变异来源，占总体夜间变化的约44%至53%。按碎片化睡眠阶段交互作用计算的夜间测量标准差，卧床时间为±83分钟（95%CI，44至156分钟），睡眠时间为±67分钟（95%CI，34至131分钟），睡眠后觉醒时间为±15分钟（95%CI，7至32分钟），占每个睡眠结果测量指标总体变异的约22%至32%。
个体夜间睡眠存在显著的随机变异性，这给旨在缓解睡眠不足和睡眠不规律问题的策略带来了额外挑战，而这些问题对学校学习和青少年运动员的发展过程不利。
