Nobari Hadi, Aquino Rodrigo, Clemente Filipe Manuel, Khalafi Mousa, Adsuar Jose Carmelo, Pérez-Gómez Jorge
Department of Exercise Physiology, Faculty of Sport Sciences, University of Isfahan, Isfahan, 81746-73441, Iran; Sports Scientist, Sepahan Football Club, Isfahan, Iran.
Department of Sports, Center of Physical Education and Sports, Federal University of Espírito Santo, Vitória, Brazil.
Physiol Behav. 2020 Oct 15;225:113117. doi: 10.1016/j.physbeh.2020.113117. Epub 2020 Aug 1.
This study described the weekly variations of acute (wAL), chronic (wCL), acute:chronic workload ratio (wACWR), training monotony (wTM), and training strain (wTS) of perceived load, such as wellness indicators over a competitive season. In addition, we analyzed the associations between training load metrics and weekly reports. Twenty-nine under 16 years old elite players were daily monitored for 20 consecutive weeks during the season by individual observations. Training and match load were obtained using the session rating of perceived exertion. Well-being status relative to stress, fatigue, delayed onset muscle soreness (DOMS), and sleep quality/disorders were daily monitored using the Hooper index method. The results revealed that the highest values of wAL, wCL, and wTS were verified in the mid-season and the lowest values in the start-season. The highest values of accumulated weekly fatigue, stress, and DOMS were observed in the end-season, and the lowest values of sleep and stress in the start-season while the lowest values of fatigue and DOMS were observed in the mid-season. Regarding the load variability, the results showed the highest values between-week variations to wTS (15%; week-8 to 9) and the lowest reduction to wACWR (-19%; week-9 to 10). The highest within-week variations were verified to wACWR (coefficient of variation =19%; week-18) and the lowest to wCL (coefficient of variation =6%, week-19). Wellness indicators were moderate-large related to acute load, monotony and strain (r = 0.46-0.67). Overall Hooper index was the best predictor of the acute load (R = 0.45). These results provide new insights for coaches and practitioners about perceived loads and well-being variations over a season in elite youth level.
本研究描述了急性(每周急性负荷,wAL)、慢性(每周慢性负荷,wCL)、急性与慢性负荷比(每周急性:慢性负荷比,wACWR)、训练单调性(每周训练单调性,wTM)以及感知负荷的训练应激(每周训练应激,wTS)等健康指标在一个赛季中的每周变化情况。此外,我们分析了训练负荷指标与每周报告之间的关联。在赛季期间,通过个体观察对29名16岁以下的精英球员进行了连续20周的每日监测。使用主观用力感觉等级量表获取训练和比赛负荷。采用胡珀指数法每日监测与压力、疲劳、延迟性肌肉酸痛(DOMS)以及睡眠质量/障碍相关的健康状况。结果显示,wAL、wCL和wTS的最高值出现在赛季中期,最低值出现在赛季开始时。每周累积疲劳、压力和DOMS的最高值出现在赛季末,睡眠和压力的最低值出现在赛季开始时,而疲劳和DOMS的最低值出现在赛季中期。关于负荷变异性,结果显示wTS的周间变化最高(15%;第8至9周),wACWR的降低最低(-19%;第9至10周)。wACWR的周内变化最高(变异系数=19%;第18周),wCL的最低(变异系数=6%;第19周)。健康指标与急性负荷、单调性和应激呈中度至高度相关(r = 0.46 - 0.67)。总体胡珀指数是急性负荷的最佳预测指标(R = 0.45)。这些结果为教练和从业者提供了关于精英青少年水平运动员在一个赛季中感知负荷和健康状况变化的新见解。