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Associations Between Variations in Accumulated Workload and Physiological Variables in Young Male Soccer Players Over the Course of a Season

This study sought to analyze the relationship between in-season training workload with changes in aerobic power (VO(2m)(ax)), maximum and resting heart rate (HR(max) and HR(rest)), linear sprint medium (LSM), and short test (LSS), in soccer players younger than 16 years (under-16 soccer players). We...

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Detalles Bibliográficos
Autores principales: Nobari, Hadi, Alves, Ana Ruivo, Clemente, Filipe Manuel, Pérez-Gómez, Jorge, Clark, Cain C. T., Granacher, Urs, Zouhal, Hassane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012769/
https://www.ncbi.nlm.nih.gov/pubmed/33815144
http://dx.doi.org/10.3389/fphys.2021.638180
Descripción
Sumario:This study sought to analyze the relationship between in-season training workload with changes in aerobic power (VO(2m)(ax)), maximum and resting heart rate (HR(max) and HR(rest)), linear sprint medium (LSM), and short test (LSS), in soccer players younger than 16 years (under-16 soccer players). We additionally aimed to explain changes in fitness levels during the in-season through regression models, considering accumulated load, baseline levels, and peak height velocity (PHV) as predictors. Twenty-three male sub-elite soccer players aged 15.5 ± 0.2 years (PHV: 13.6 ± 0.4 years; body height: 172.7 ± 4.2 cm; body mass: 61.3 ± 5.6 kg; body fat: 13.7% ± 3.9%; VO(2m)(ax): 48.4 ± 2.6 mL⋅kg(–1)⋅min(–1)), were tested three times across the season (i.e., early-season (EaS), mid-season (MiS), and end-season (EnS) for VO(2m)(ax), HR(max), LSM, and LSS. Aerobic and speed variables gradually improved over the season and had a strong association with PHV. Moreover, the HR(max) demonstrated improvements from EaS to EnS; however, this was more evident in the intermediate period (from EaS to MiS) and had a strong association with VO(2m)(ax). Regression analysis showed significant predictions for VO(2m)(ax) [F(()(2,) (20)) = 8.18, p ≤ 0.001] with an R(2) of 0.45. In conclusion, the meaningful variation of youth players’ fitness levels can be observed across the season, and such changes can be partially explained by the load imposed.