Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis.
External load
Monitoring, Fatigue
Muscle damage
Neuromuscular performance
Perceptual responses
Recovery
Time motion analysis
Journal
Sports medicine - open
ISSN: 2199-1170
Titre abrégé: Sports Med Open
Pays: Switzerland
ID NLM: 101662568
Informations de publication
Date de publication:
09 Dec 2019
09 Dec 2019
Historique:
received:
07
05
2019
accepted:
02
10
2019
entrez:
11
12
2019
pubmed:
11
12
2019
medline:
11
12
2019
Statut:
epublish
Résumé
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. 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. 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 Running distance above 5.5 m·s
Sections du résumé
BACKGROUND
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
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
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
CONCLUSIONS
CONCLUSIONS
Running distance above 5.5 m·s
Identifiants
pubmed: 31820260
doi: 10.1186/s40798-019-0219-7
pii: 10.1186/s40798-019-0219-7
pmc: PMC6901634
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
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