Quantifying Sub-Elite Youth Football Weekly Training Load and Recovery Variation
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-elit...
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MDPI AG
2021-05-01
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| Online Access: | https://www.mdpi.com/2076-3417/11/11/4871 |
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| author | José E. Teixeira Pedro Forte Ricardo Ferraz Miguel Leal Joana Ribeiro António J. Silva Tiago M. Barbosa António M. Monteiro |
| author_facet | José E. Teixeira Pedro Forte Ricardo Ferraz Miguel Leal Joana Ribeiro António J. Silva Tiago M. Barbosa António M. Monteiro |
| author_sort | José E. Teixeira |
| collection | DOAJ |
| description | 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 (<i>p</i> ≤ 0.001; <i>d</i> = 0.29–0.86; moderate to strong effect), internal training load (<i>p</i> ≤ 0.001, <i>d</i> = 0.12–0.69; minimum to strong effect) and recovery status (<i>p</i> ≤ 0.001, <i>d</i> = 0.59; strong effect). The external training load presented differences between training days (<i>p</i> < 0.05, <i>d</i> = 0.26–0.95; moderate to strong effect). The playing position had a minimum effect on the weekly training load (<i>p</i> < 0.05; <i>d</i> = 0.06–0.18). The weekly microcycle had a moderate effect in the TD (<i>p</i> < 0.05, <i>d</i> = 0.39), RPE (<i>p</i> < 0.05; <i>d</i> = 0.35) and sRPE (<i>p</i> < 0.05, <i>d</i> = 0.35). Interaction effects were found between the four factors analyzed for deceleration (<i>F</i> = 2.819, <i>p</i> = 0.017) and between inter-day, inter-week and age for total covered distance (<i>F</i> = 8.342, <i>p</i> = 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. |
| first_indexed | 2024-03-10T11:02:49Z |
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| id | doaj.art-c8d327c94a1d461b80607f0d65730bad |
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| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:02:49Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-c8d327c94a1d461b80607f0d65730bad2023-11-21T21:24:20ZengMDPI AGApplied Sciences2076-34172021-05-011111487110.3390/app11114871Quantifying Sub-Elite Youth Football Weekly Training Load and Recovery VariationJosé E. Teixeira0Pedro Forte1Ricardo Ferraz2Miguel Leal3Joana Ribeiro4António J. Silva5Tiago M. Barbosa6António M. Monteiro7Research Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, PortugalResearch Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, PortugalResearch Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, PortugalDepartment of Sports, Douro Higher Institute of Educational Sciences, 4560-708 Penafiel, PortugalDepartment of Sports, Douro Higher Institute of Educational Sciences, 4560-708 Penafiel, PortugalResearch Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, PortugalResearch Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, PortugalResearch Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, PortugalMonitoring 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 (<i>p</i> ≤ 0.001; <i>d</i> = 0.29–0.86; moderate to strong effect), internal training load (<i>p</i> ≤ 0.001, <i>d</i> = 0.12–0.69; minimum to strong effect) and recovery status (<i>p</i> ≤ 0.001, <i>d</i> = 0.59; strong effect). The external training load presented differences between training days (<i>p</i> < 0.05, <i>d</i> = 0.26–0.95; moderate to strong effect). The playing position had a minimum effect on the weekly training load (<i>p</i> < 0.05; <i>d</i> = 0.06–0.18). The weekly microcycle had a moderate effect in the TD (<i>p</i> < 0.05, <i>d</i> = 0.39), RPE (<i>p</i> < 0.05; <i>d</i> = 0.35) and sRPE (<i>p</i> < 0.05, <i>d</i> = 0.35). Interaction effects were found between the four factors analyzed for deceleration (<i>F</i> = 2.819, <i>p</i> = 0.017) and between inter-day, inter-week and age for total covered distance (<i>F</i> = 8.342, <i>p</i> = 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.https://www.mdpi.com/2076-3417/11/11/4871monitoringworkloadperceived exertionsoccerperiodization |
| spellingShingle | José E. Teixeira Pedro Forte Ricardo Ferraz Miguel Leal Joana Ribeiro António J. Silva Tiago M. Barbosa António M. Monteiro Quantifying Sub-Elite Youth Football Weekly Training Load and Recovery Variation Applied Sciences monitoring workload perceived exertion soccer periodization |
| title | Quantifying Sub-Elite Youth Football Weekly Training Load and Recovery Variation |
| title_full | Quantifying Sub-Elite Youth Football Weekly Training Load and Recovery Variation |
| title_fullStr | Quantifying Sub-Elite Youth Football Weekly Training Load and Recovery Variation |
| title_full_unstemmed | Quantifying Sub-Elite Youth Football Weekly Training Load and Recovery Variation |
| title_short | Quantifying Sub-Elite Youth Football Weekly Training Load and Recovery Variation |
| title_sort | quantifying sub elite youth football weekly training load and recovery variation |
| topic | monitoring workload perceived exertion soccer periodization |
| url | https://www.mdpi.com/2076-3417/11/11/4871 |
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