Pitchford Nathan W, Robertson Sam J, Sargent Charli, Cordy Justin, Bishop David J, Bartlett Jonathan D
Int J Sports Physiol Perform. 2017 Jan;12(1):75-80. doi: 10.1123/ijspp.2016-0009. Epub 2016 Aug 24.
To assess the effects of a change in training environment on the sleep characteristics of elite Australian Rules football (AF) players.
In an observational crossover trial, 19 elite AF players had time in bed (TIB), total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO) assessed using wristwatch activity devices and subjective sleep diaries across 8-d home and camp periods. Repeated-measures ANOVA determined mean differences in sleep, training load (session rating of perceived exertion [RPE]), and environment. Pearson product-moment correlations, controlling for repeated observations on individuals, were used to assess the relationship between changes in sleep characteristics at home and camp. Cohen effect sizes (d) were calculated using individual means.
On camp TIB (+34 min) and WASO (+26 min) increased compared with home. However, TST was similar between home and camp, significantly reducing camp SE (-5.82%). Individually, there were strong negative correlations for TIB and WASO (r = -.75 and r = -.72, respectively) and a moderate negative correlation for SE (r = -.46) between home and relative changes on camp. Camp increased the relationship between individual s-RPE variation and TST variation compared with home (increased load r = -.367 vs .051, reduced load r = .319 vs -.033, camp vs home respectively).
Camp compromised sleep quality due to significantly increased TIB without increased TST. Individually, AF players with higher home SE experienced greater reductions in SE on camp. Together, this emphasizes the importance of individualized interventions for elite team-sport athletes when traveling and/or changing environments.
评估训练环境的变化对澳大利亚式橄榄球(AF)精英球员睡眠特征的影响。
在一项观察性交叉试验中,19名AF精英球员在8天的居家和营地期间,使用腕部活动设备和主观睡眠日记评估卧床时间(TIB)、总睡眠时间(TST)、睡眠效率(SE)和睡眠开始后觉醒时间(WASO)。重复测量方差分析确定睡眠、训练负荷(主观用力程度分级[RPE])和环境的平均差异。使用控制个体重复观察的Pearson积矩相关性来评估居家和营地睡眠特征变化之间的关系。使用个体均值计算科恩效应量(d)。
与居家相比,在营地时TIB(增加34分钟)和WASO(增加26分钟)增加。然而,居家和营地的TST相似,营地的SE显著降低(-5.82%)。个体而言,居家和营地相对变化之间,TIB和WASO呈强负相关(r分别为-.75和-.72),SE呈中度负相关(r = -.46)。与居家相比,营地增加了个体s-RPE变化与TST变化之间的关系(负荷增加时r = -.367对.051,负荷减少时r = .319对-.033,分别为营地与居家)。
营地因TIB显著增加而未增加TST,从而损害了睡眠质量。个体而言,居家SE较高的AF球员在营地时SE下降幅度更大。总之,这强调了为精英团队运动运动员在旅行和/或更换环境时进行个性化干预的重要性。