How does curve sprint evolve across different age categories in soccer players?

dc.contributor.authorFilter Ruger, Alberto
dc.contributor.authorGantois, Petrus
dc.contributor.authorHenrique, Rafael S.
dc.contributor.authorOlivares Jabalera, Jesús
dc.contributor.authorRobles Rodríguez, José
dc.contributor.authorSantalla, Alfredo
dc.contributor.authorRequena, Bernardo
dc.contributor.authorNakamura, Fabio Y.
dc.date.accessioned2022-09-20T10:51:25Z
dc.date.available2022-09-20T10:51:25Z
dc.date.issued2021-03
dc.description.abstract: Research has shown that soccer players regularly execute curved sprints during matches. The purpose of this study was to determine the age-related effects on curve sprint (CS) performance to both sides, asymmetry, and association with linear sprint (LS). Eighty-four soccer players (aged 16.1 ± 1.6 categorized in U15, U17, and U20) were recruited, who performed CS and LS tests. One-way analysis of variance (ANOVA) and effect size (ES) were used to compare CS performance between age categories, and relationships between physical performance measures were calculated using Pearson’s correlation coefficient. The main findings of this study were that: 1) there were significant differences in the “good” side CS among age groups (p < 0.001; ES from moderate to large), but not in the “weak” side CS, 2) curve asymmetry was significantly higher in U20 than U15 (p < 0.05; ES large) and U17 players (p < 0.05; ES moderate), and 3) relationships between CS and LS times decreased with age (from significant and very large [p < 0.001] to non-significant and smallmoderate [p > 0.05]). This study highlights the importance of assessing and training CS in different age categories, an action that becomes less correlated with LS as age increases, with the aim of mitigating the increase in asymmetries as a result of the specialization process, focusing interventions mainly on improving the CS “weak” sidees_ES
dc.description.departmentDidácticas Integradas
dc.description.sponsorshipThanks to all the participants in this study, to Football Science Institute, and to the soccer club
dc.identifier.citationFilter-Ruger, A., Gantois, P., S. Henrique, R., Olivares-Jabalera, J., Robles-Rodríguez, J., Santalla, A., Requena, B., & Nakamura, F. Y. (2022). How does curve sprint evolve across different age-categories in soccer players? In Biology of Sport (Vol. 39, Issue 1, pp. 53–58). Termedia Sp. z.o.o. https://doi.org/10.5114/biolsport.2022.102867es_ES
dc.identifier.doi10.5114/biolsport.2022.102867
dc.identifier.issn0860-021X
dc.identifier.issn2083-1862 (electrónico)
dc.identifier.urihttp://hdl.handle.net/10272/21166
dc.language.isoenges_ES
dc.publisherTermedia Publishinges_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherAccelerationes_ES
dc.subject.otherPerformancees_ES
dc.subject.otherTestinges_ES
dc.subject.otherTeam sportses_ES
dc.subject.otherSkilles_ES
dc.titleHow does curve sprint evolve across different age categories in soccer players?es_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication6ec331db-4ee6-4e81-aa56-84d7d4e24e11
relation.isAuthorOfPublication.latestForDiscovery6ec331db-4ee6-4e81-aa56-84d7d4e24e11

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