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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/42237
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dc.creatorCarolina Franco Wilkept_BR
dc.creatorFelipe Augusto Pereira Fernandespt_BR
dc.creatorFlavio Vinicius Cruzeiro Martinspt_BR
dc.creatorAnisio Mendes Lacerdapt_BR
dc.creatorFábio Yuzo Nakamurapt_BR
dc.creatorSamuel Penna Wannerpt_BR
dc.creatorRob Duffieldpt_BR
dc.date.accessioned2022-06-03T18:02:54Z-
dc.date.available2022-06-03T18:02:54Z-
dc.date.issued2019-09-
dc.citation.volume14pt_BR
dc.citation.issue8pt_BR
dc.citation.spage1089pt_BR
dc.citation.epage1095pt_BR
dc.identifier.doihttps://doi.org/10.1123/ijspp.2018-0626pt_BR
dc.identifier.issn1555-0273pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/42237-
dc.description.resumoPurpose: To investigate the existence of faster vs slower recovery profiles in futsal and factors distinguishing them. Methods: 22 male futsal players were evaluated in countermovement jump, 10-m sprint, creatine kinase, total quality of recovery (TQR), and Brunel Mood Scale (fatigue and vigor) before and immediately and 3, 24, and 48 h posttraining. Hierarchical cluster analysis allocated players to different recovery profiles using the area under the curve (AUC) of the percentage differences from baseline. One-way ANOVA compared the time course of each variable and players’ characteristics between clusters. Results: Three clusters were identified and labeled faster recovery (FR), slower physiological recovery (SLphy), and slower perceptual recovery (SLperc). FR presented better AUC in 10-m sprint than SLphy (P = .001) and SLperc (P = .008), as well as better TQR SLphy (P = .018) and SLperc (P = .026). SLperc showed better AUC in countermovement jump than SLphy (P = .014) but presented worse fatigue AUC than SLphy (P = .014) and FR (P = .008). AUC of creatine kinase was worse in SLphy than in FR (P = .001) and SLperc (P < .001). The SLphy players were younger than SLperc players (P = .027), whereas FR were slower 10-m sprinters than SLphy players (P = .003) and SLperc (P = .013) and tended to have higher maximal oxygen consumption than SLphy (effect size =1.13). Conclusion: Different posttraining recovery profiles exist in futsal players, possibly influenced by their physical abilities and age/experience.pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentEEF - DEPARTAMENTO DE EDUCAÇÃO FÍSICApt_BR
dc.publisher.departmentICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃOpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofInternational Journal of Sports Physiology and Performancept_BR
dc.rightsAcesso Restritopt_BR
dc.subjectClassification analysispt_BR
dc.subjectCluster analysispt_BR
dc.subjectPerformancept_BR
dc.subjectTeam sportpt_BR
dc.subject.otherAnalise por conglomeradospt_BR
dc.subject.otherAptidão física do atletapt_BR
dc.subject.otherFutsal - Treinamento técnicopt_BR
dc.titleFaster and slower posttraining recovery in futsal: multifactorial classification of recovery profilespt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://journals.humankinetics.com/view/journals/ijspp/14/8/article-p1089.xmlpt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-1774-5100pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6666-653Xpt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-5336-3652pt_BR
dc.identifier.orcidhttp://orcid.org/0000-0002-4659-1032pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-5641-1314pt_BR
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