Staunton Craig, Gordon Brett, Custovic Edhem, Stanger Jonathan, Kingsley Michael
Exercise Physiology, La Trobe Rural Health School, La Trobe University, Australia.
School of Engineering and Mathematical Sciences, La Trobe University, Australia.
J Sci Med Sport. 2017 Aug;20(8):786-789. doi: 10.1016/j.jsams.2016.11.016. Epub 2017 Jan 24.
To assess sleep patterns and associations between sleep and match performance in elite Australian female basketball players.
Prospective cohort study.
Seventeen elite female basketball players were monitored across two consecutive in-season competitions (30 weeks). Total sleep time and sleep efficiency were determined using triaxial accelerometers for Baseline, Pre-match, Match-day and Post-match timings. Match performance was determined using the basketball efficiency statistic (EFF). The effects of match schedule (Regular versus Double-Header; Home versus Away) and sleep on EFF were assessed.
The Double-Header condition changed the pattern of sleep when compared with the Regular condition (F=3.763, P=0.017), where total sleep time Post-match was 11% less for Double-Header (mean±SD; 7.2±1.4h) compared with Regular (8.0±1.3h; P=0.007). Total sleep time for Double-Header was greater Pre-match (8.2±1.7h) compared with Baseline (7.1±1.6h; P=0.022) and Match-day (7.3±1.5h; P=0.007). Small correlations existed between sleep metrics at Pre-match and EFF for pooled data (r=-0.39 to -0.22; P≥0.238). Relationships between total sleep time and EFF ranged from moderate negative to large positive correlations for individual players (r=-0.37 to 0.62) and reached significance for one player (r=0.60; P=0.025).
Match schedule can affect the sleep patterns of elite female basketball players. A large degree of inter-individual variability existed in the relationship between sleep and match performance; nevertheless, sleep monitoring might assist in the optimisation of performance for some athletes.
评估澳大利亚优秀女子篮球运动员的睡眠模式以及睡眠与比赛表现之间的关联。
前瞻性队列研究。
在连续两个赛季内的比赛（30周）中对17名优秀女子篮球运动员进行监测。使用三轴加速度计测定基线、赛前、比赛日和赛后时段的总睡眠时间和睡眠效率。使用篮球效率统计数据（EFF）确定比赛表现。评估比赛赛程（常规比赛与背靠背比赛；主场与客场）和睡眠对EFF的影响。
与常规比赛情况相比，背靠背比赛情况改变了睡眠模式（F = 3.763，P = 0.017），背靠背比赛赛后的总睡眠时间比常规比赛少11%（均值±标准差；背靠背比赛为7.2±1.4小时，常规比赛为8.0±1.3小时；P = 0.007）。背靠背比赛赛前的总睡眠时间（8.2±1.7小时）比基线（7.1±1.6小时；P = 0.022）和比赛日（7.3±1.5小时；P = 0.007）更长。赛前睡眠指标与合并数据的EFF之间存在小的相关性（r = -0.39至-0.22；P≥0.238）。个体运动员的总睡眠时间与EFF之间的关系从中度负相关到高度正相关不等（r = -0.37至0.62），有一名运动员达到显著水平（r = 0.60；P = 0.025）。
比赛赛程会影响优秀女子篮球运动员的睡眠模式。睡眠与比赛表现之间的关系存在很大程度的个体差异；然而，睡眠监测可能有助于优化一些运动员的表现。
