Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis
<h3>Background</h3><p dir="ltr">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, an...
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2019
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| _version_ | 1864513566546067456 |
|---|---|
| author | Karim Hader (2548618) |
| author2 | Michael C. Rumpf (7245092) Maxime Hertzog (14153406) Liam P. Kilduff (12066120) Olivier Girard (409080) Joao R. Silva (14153409) |
| author2_role | author author author author author |
| author_facet | Karim Hader (2548618) Michael C. Rumpf (7245092) Maxime Hertzog (14153406) Liam P. Kilduff (12066120) Olivier Girard (409080) Joao R. Silva (14153409) |
| author_role | author |
| dc.creator.none.fl_str_mv | Karim Hader (2548618) Michael C. Rumpf (7245092) Maxime Hertzog (14153406) Liam P. Kilduff (12066120) Olivier Girard (409080) Joao R. Silva (14153409) |
| dc.date.none.fl_str_mv | 2019-01-09T18:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1186/s40798-019-0219-7 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Monitoring_the_Athlete_Match_Response_Can_External_Load_Variables_Predict_Post-match_Acute_and_Residual_Fatigue_in_Soccer_A_Systematic_Review_with_Meta-analysis/21598533 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Health sciences Sports science and exercise External load Time motion analysis Monitoring, Fatigue Recovery Muscle damage Perceptual responses Neuromuscular performance |
| dc.title.none.fl_str_mv | Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Background</h3><p dir="ltr">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.</p><h3>Methods</h3><p dir="ltr">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 (r¯) with confidence intervals (CI). The quality and strength of the findings of each study were evaluated to identify overall levels of evidence.</p><h3>Results</h3><p dir="ltr">Eleven studies were included (n = 165 athletes). Acute (r¯ = 0.67; 95% CI = [0.40, 0.94]) and residual (24 h post-match, r¯ = 0.54; 95% CI = [0.35, 0.65]) changes in muscle damage markers and countermovement jump peak power output (CMJPPO) were, with moderate to strong evidence, largely correlated with running distance above 5.5 m s<sup>−1</sup>. No other external load metric was largely correlated with both biochemical and neuromuscular markers. For every 100-m run above 5.5 m·s<sup>−1</sup>, CK activity measured 24 h post-match increased by 30% and CMJPPO 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.</p><h3>Conclusions</h3><p dir="ltr">Running distance above 5.5 m·s<sup>−1</sup> 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.</p><h2>Other Information</h2><p dir="ltr">Published in: Sports Medicine - Open<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1186/s40798-019-0219-7" target="_blank">http://dx.doi.org/10.1186/s40798-019-0219-7</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_c0c69870b7866dd1128fdebdaf5cf5e0 |
| identifier_str_mv | 10.1186/s40798-019-0219-7 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/21598533 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysisKarim Hader (2548618)Michael C. Rumpf (7245092)Maxime Hertzog (14153406)Liam P. Kilduff (12066120)Olivier Girard (409080)Joao R. Silva (14153409)Biomedical and clinical sciencesClinical sciencesHealth sciencesSports science and exerciseExternal loadTime motion analysisMonitoring, FatigueRecovery Muscle damagePerceptual responsesNeuromuscular performance<h3>Background</h3><p dir="ltr">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.</p><h3>Methods</h3><p dir="ltr">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 (r¯) with confidence intervals (CI). The quality and strength of the findings of each study were evaluated to identify overall levels of evidence.</p><h3>Results</h3><p dir="ltr">Eleven studies were included (n = 165 athletes). Acute (r¯ = 0.67; 95% CI = [0.40, 0.94]) and residual (24 h post-match, r¯ = 0.54; 95% CI = [0.35, 0.65]) changes in muscle damage markers and countermovement jump peak power output (CMJPPO) were, with moderate to strong evidence, largely correlated with running distance above 5.5 m s<sup>−1</sup>. No other external load metric was largely correlated with both biochemical and neuromuscular markers. For every 100-m run above 5.5 m·s<sup>−1</sup>, CK activity measured 24 h post-match increased by 30% and CMJPPO 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.</p><h3>Conclusions</h3><p dir="ltr">Running distance above 5.5 m·s<sup>−1</sup> 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.</p><h2>Other Information</h2><p dir="ltr">Published in: Sports Medicine - Open<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1186/s40798-019-0219-7" target="_blank">http://dx.doi.org/10.1186/s40798-019-0219-7</a></p>2019-01-09T18:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1186/s40798-019-0219-7https://figshare.com/articles/journal_contribution/Monitoring_the_Athlete_Match_Response_Can_External_Load_Variables_Predict_Post-match_Acute_and_Residual_Fatigue_in_Soccer_A_Systematic_Review_with_Meta-analysis/21598533CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/215985332019-01-09T18:00:00Z |
| spellingShingle | Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis Karim Hader (2548618) Biomedical and clinical sciences Clinical sciences Health sciences Sports science and exercise External load Time motion analysis Monitoring, Fatigue Recovery Muscle damage Perceptual responses Neuromuscular performance |
| status_str | publishedVersion |
| 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 | Biomedical and clinical sciences Clinical sciences Health sciences Sports science and exercise External load Time motion analysis Monitoring, Fatigue Recovery Muscle damage Perceptual responses Neuromuscular performance |