National Institute of Physical Education and Sport of Catalonia, University of Barcelona, Barcelona, Spain.
Sport and Physical Activity Studies Centre, University of Vic-Central University of Catalonia, Barcelona, Spain.
J Sports Sci Med. 2021 Oct 1;20(4):751-758. doi: 10.52082/jssm.2021.751. eCollection 2021 Dec.
Data related to 141 sessions of 10 semi-professional basketball players were analyzed during the competitive period of the 2018-2019 season using a multivariable model to determine possible associations between internal and external load variables and fatigue. Age, height, weight, sessional rate of perceived exertion (sRPE), summated-heart-rate-zones, heart rate variability, total accelerations and decelerations were the covariates, and post-session countermovement jump loss (10% or higher) the response variable. Based on the results observed, a rise in sRPE and accelerations and decelerations could be associated with increased lower-body neuromuscular fatigue. Observing neuromuscular fatigue was 1,008 times higher with each additional sRPE arbitrary unit (AU). Each additional high-intensity effort also increased the probability of significant levels of neuromuscular fatigue by 1,005 times. Fatigue arising from demanding sporting activities is acknowledged as a relevant inciting event leading to injuries. Thus, the methodology used in this study can be used then to monitor neuromuscular fatigue onset, also enhancing proper individual adaptations to training.
运用多变量模型分析了 2018-2019 赛季 10 名半职业篮球运动员的 141 次比赛数据，以确定内部和外部负荷变量与疲劳之间可能存在的关联。年龄、身高、体重、每节感知用力等级（sRPE）、累计心率区、心率变异性、总加速度和减速度为协变量，赛后即刻反向跳跃测试损失（10%或更高）为反应变量。根据观察到的结果，sRPE 和加速度的增加可能与下肢神经肌肉疲劳的增加有关。每增加一个 sRPE 任意单位（AU），观察到神经肌肉疲劳的可能性就会增加 1008 倍。高强度运动引起的疲劳被认为是导致受伤的一个相关触发因素。因此，本研究中使用的方法可以用来监测神经肌肉疲劳的发生，同时促进对训练的适当个体适应。
