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Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis

BACKGROUND: Monitoring athletes’ external load during a soccer match may be useful to predict post-match acute and residual fatigue. This estimation would allow individual adjustments to training programs to minimize injury risk, improve well-being, and restore players’ physical performance and info...

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Autores principales: Hader, Karim, Rumpf, Michael C., Hertzog, Maxime, Kilduff, Liam P., Girard, Olivier, Silva, Joao R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901634/
https://www.ncbi.nlm.nih.gov/pubmed/31820260
http://dx.doi.org/10.1186/s40798-019-0219-7
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author Hader, Karim
Rumpf, Michael C.
Hertzog, Maxime
Kilduff, Liam P.
Girard, Olivier
Silva, Joao R.
author_facet Hader, Karim
Rumpf, Michael C.
Hertzog, Maxime
Kilduff, Liam P.
Girard, Olivier
Silva, Joao R.
author_sort Hader, Karim
collection PubMed
description BACKGROUND: Monitoring athletes’ external load during a soccer match may be useful to predict post-match acute and residual fatigue. This estimation would allow individual adjustments to training programs to minimize injury risk, improve well-being, and restore players’ physical performance and inform the recovery process. METHODS: Using a systematic review and meta-analysis of the literature, the aim is to determine which monitoring variables would be the strongest predictors of acute (immediately) and residual (up to 72 h) fatigue states in soccer. PubMed, SPORTDiscus, and Web of Science databases were searched (until September 2018). Studies concurrently examining soccer match-related external load metrics and subjective and/or objective measures were selected to determine pooled correlations ([Formula: see text] ) with confidence intervals (CI). The quality and strength of the findings of each study were evaluated to identify overall levels of evidence. RESULTS: Eleven studies were included (n = 165 athletes). Acute ([Formula: see text] = 0.67; 95% CI = [0.40, 0.94]) and residual (24 h post-match, [Formula: see text] = 0.54; 95% CI = [0.35, 0.65]) changes in muscle damage markers and countermovement jump peak power output (CMJ(PPO)) were, with moderate to strong evidence, largely correlated with running distance above 5.5 m s(−1). No other external load metric was largely correlated with both biochemical and neuromuscular markers. For every 100-m run above 5.5 m·s(−1), CK activity measured 24 h post-match increased by 30% and CMJ(PPO) decreased by 0.5%. Conversely, the total distance covered did not present any evidence of a clear relationship with any fatigue-related marker at any time-point. CONCLUSIONS: Running distance above 5.5 m·s(−1) represents the most sensitive monitoring variable characterizing biochemical and neuromuscular responses, at least when assessed during the initial 24 h (not at 48 h/72 h) post-match recovery period. In addition, total distance covered is not sensitive enough to inform decision-making during the fatigue monitoring process.
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spelling pubmed-69016342019-12-24 Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis Hader, Karim Rumpf, Michael C. Hertzog, Maxime Kilduff, Liam P. Girard, Olivier Silva, Joao R. Sports Med Open Systematic Review BACKGROUND: Monitoring athletes’ external load during a soccer match may be useful to predict post-match acute and residual fatigue. This estimation would allow individual adjustments to training programs to minimize injury risk, improve well-being, and restore players’ physical performance and inform the recovery process. METHODS: Using a systematic review and meta-analysis of the literature, the aim is to determine which monitoring variables would be the strongest predictors of acute (immediately) and residual (up to 72 h) fatigue states in soccer. PubMed, SPORTDiscus, and Web of Science databases were searched (until September 2018). Studies concurrently examining soccer match-related external load metrics and subjective and/or objective measures were selected to determine pooled correlations ([Formula: see text] ) with confidence intervals (CI). The quality and strength of the findings of each study were evaluated to identify overall levels of evidence. RESULTS: Eleven studies were included (n = 165 athletes). Acute ([Formula: see text] = 0.67; 95% CI = [0.40, 0.94]) and residual (24 h post-match, [Formula: see text] = 0.54; 95% CI = [0.35, 0.65]) changes in muscle damage markers and countermovement jump peak power output (CMJ(PPO)) were, with moderate to strong evidence, largely correlated with running distance above 5.5 m s(−1). No other external load metric was largely correlated with both biochemical and neuromuscular markers. For every 100-m run above 5.5 m·s(−1), CK activity measured 24 h post-match increased by 30% and CMJ(PPO) decreased by 0.5%. Conversely, the total distance covered did not present any evidence of a clear relationship with any fatigue-related marker at any time-point. CONCLUSIONS: Running distance above 5.5 m·s(−1) represents the most sensitive monitoring variable characterizing biochemical and neuromuscular responses, at least when assessed during the initial 24 h (not at 48 h/72 h) post-match recovery period. In addition, total distance covered is not sensitive enough to inform decision-making during the fatigue monitoring process. Springer International Publishing 2019-12-09 /pmc/articles/PMC6901634/ /pubmed/31820260 http://dx.doi.org/10.1186/s40798-019-0219-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Systematic Review
Hader, Karim
Rumpf, Michael C.
Hertzog, Maxime
Kilduff, Liam P.
Girard, Olivier
Silva, Joao R.
Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis
title Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis
title_full Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis
title_fullStr Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis
title_full_unstemmed Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis
title_short Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis
title_sort monitoring the athlete match response: can external load variables predict post-match acute and residual fatigue in soccer? a systematic review with meta-analysis
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901634/
https://www.ncbi.nlm.nih.gov/pubmed/31820260
http://dx.doi.org/10.1186/s40798-019-0219-7
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