Thorpe Robin T, Atkinson Greg, Drust Barry, Gregson Warren
Int J Sports Physiol Perform. 2017 Apr;12(Suppl 2):S227-S234. doi: 10.1123/ijspp.2016-0434. Epub 2017 Jan 17.
The increase in competition demands in elite team sports over recent years has prompted much attention from researchers and practitioners to the monitoring of adaptation and fatigue in athletes. Monitoring fatigue and gaining an understanding of athlete status may also provide insights and beneficial information pertaining to player availability, injury, and illness risk. Traditional methods used to quantify recovery and fatigue in team sports, such as maximal physical-performance assessments, may not be feasible to detect variations in fatigue status throughout competitive periods. Faster, simpler, and nonexhaustive tests such as athlete self-report measures, autonomic nervous system response via heart-rate-derived indices, and to a lesser extent, jump protocols may serve as promising tools to quantify and establish fatigue status in elite team-sport athletes. The robust rationalization and precise detection of a meaningful fluctuation in these measures are of paramount importance for practitioners working alongside athletes and coaches on a daily basis. There are various methods for arriving at a minimal clinically important difference, but these have been rarely adopted by sport scientists and practitioners. The implementation of appropriate, reliable, and sensitive measures of fatigue can provide important information to key stakeholders in team-sport environments. Future research is required to investigate the sensitivity of these tools to fundamental indicators such as performance, injury, and illness.
近年来,精英团队运动中竞争需求的增加促使研究人员和从业者高度关注运动员适应和疲劳的监测。监测疲劳并了解运动员状态也可能提供有关运动员参赛资格、受伤和患病风险的见解及有益信息。团队运动中用于量化恢复和疲劳的传统方法,如最大体能评估,在整个比赛期间检测疲劳状态的变化可能并不可行。更快、更简单且非详尽无遗的测试,如运动员自我报告测量、通过心率衍生指标得出的自主神经系统反应,以及在较小程度上的跳跃测试,可能成为量化和确定精英团队运动运动员疲劳状态的有前景的工具。对于每天与运动员和教练合作的从业者来说,对这些测量中有意义波动进行有力的合理化和精确检测至关重要。有多种方法可得出最小临床重要差异,但运动科学家和从业者很少采用这些方法。实施适当、可靠且敏感的疲劳测量方法可为团队运动环境中的关键利益相关者提供重要信息。未来需要开展研究来调查这些工具对诸如表现、受伤和患病等基本指标的敏感性。