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Quantifying sub-elite youth football weekly training load and recovery variation
- Source :
- Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP, Applied Sciences, Volume 11, Issue 11, Applied Sciences, Vol 11, Iss 4871, p 4871 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI, 2021.
-
Abstract
- 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<br />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<br />d = 0.29–0.86<br />moderate to strong effect), internal training load (p ≤ 0.001, d = 0.12–0.69<br />minimum to strong effect) and recovery status (p ≤ 0.001, d = 0.59<br />strong effect). The external training load presented differences between training days (p &lt<br />0.05, d = 0.26–0.95<br />moderate to strong effect). The playing position had a minimum effect on the weekly training load (p &lt<br />0.05<br />d = 0.06–0.18). The weekly microcycle had a moderate effect in the TD (p &lt<br />0.05, d = 0.39), RPE (p &lt<br />d = 0.35) and sRPE (p &lt<br />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.
- Subjects :
- Metabolic load
Technology
medicine.medical_specialty
Monitoring
QH301-705.5
Perceived exertion
QC1-999
education
Football
Workload
03 medical and health sciences
0302 clinical medicine
Soccer
medicine
General Materials Science
Biology (General)
Training load
QD1-999
Instrumentation
Mathematics
Fluid Flow and Transfer Processes
Rating of perceived exertion
Football players
Physics
Process Chemistry and Technology
General Engineering
Training (meteorology)
030229 sport sciences
Engineering (General). Civil engineering (General)
Computer Science Applications
Periodization
Chemistry
Physical therapy
TA1-2040
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP, Applied Sciences, Volume 11, Issue 11, Applied Sciences, Vol 11, Iss 4871, p 4871 (2021)
- Accession number :
- edsair.doi.dedup.....6e24d0ad23d73abf4fe874824e7541e1