期刊
APPLIED SCIENCES-BASEL
卷 11, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/app11114871
关键词
monitoring; workload; perceived exertion; soccer; periodization
类别
资金
- Douro Higher Institute of Educational Sciences
- Portuguese Foundation for Science and Technology, I.P. [UIDB04045/2021]
This study aimed to quantify the training load and recovery status of U-15, U-17, and U-19 sub-elite young football players, finding age, training day, weekly microcycle, training, and playing position influence these factors.
Monitoring the training load in football is an important strategy to improve athletic performance and an effective training periodization. The aim of this study was two-fold: (1) to quantify the weekly training load and recovery status variations performed by under-15, under-17 and under-19 sub-elite young football players; and (2) to analyze the influence of age, training day, weekly microcycle, training and playing position on the training load and recovery status. Twenty under-15, twenty under-17 and twenty under-19 players were monitored over a 2-week period during the first month of the 2019-2020 competitive season. Global positioning system technology (GPS) was used to collect external training loads: total distance covered, average speed, maximal running speed, relative high-speed running distance, high metabolic load distance, sprinting distance, dynamic stress load, accelerations and decelerations. Internal training load was monitored using ratings of perceived exertion (RPE) and session rating of perceived exertion (sRPE). Recovery status was obtained using the total quality recovery (TQR) scale. The results show an age-related influence for external training load (p <= 0.001; d = 0.29-0.86; moderate to strong effect), internal training load (p <= 0.001, d = 0.12-0.69; minimum to strong effect) and recovery status (p <= 0.001, d = 0.59; strong effect). The external training load presented differences between training days (p < 0.05, d = 0.26-0.95; moderate to strong effect). The playing position had a minimum effect on the weekly training load (p < 0.05; d = 0.06-0.18). The weekly microcycle had a moderate effect in the TD (p < 0.05, d = 0.39), RPE (p < 0.05; d = 0.35) and sRPE (p < 0.05, d = 0.35). Interaction effects were found between the four factors analyzed for deceleration (F = 2.819, p = 0.017) and between inter-day, inter-week and age for total covered distance (F = 8.342, p = 0.008). This study provided specific insights about sub-elite youth football training load and recovery status to monitor training environments and load variations. Future research should include a longer monitoring period to assess training load and recovery variations across different season phases.
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