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Cluster Stability as a New Method to Assess Changes in Performance and its Determinant Factors Over a Season in Young Swimmers

dc.contributor.authorMorais, Jorge
dc.contributor.authorSilva, António
dc.contributor.authorMarinho, Daniel
dc.contributor.authorSeifert, Ludovic
dc.contributor.authorBarbosa, Tiago M.
dc.date.accessioned2020-02-18T11:33:51Z
dc.date.available2020-02-18T11:33:51Z
dc.date.issued2015
dc.description.abstractTo apply a new method to identify, classify, and follow up young swimmers based on their performance and its determinant factors over a season and analyze the swimmers' stability over a competitive season with that method. Fifteen boys and 18 girls (11.8±0.7 y) part of a national talent-identification scheme were evaluated at 3 different moments of a competitive season. Performance (ie, official 100-m freestyle race time), arm span, chest perimeter, stroke length, swimming velocity, speed fluctuation, coefficient of active drag, propelling efficiency, and stroke index were selected as variables. Hierarchical and k-means cluster analysis were computed. Data suggested a 3-cluster solution, splitting the swimmers according to their performance in all 3 moments. Cluster 1 was related to better performances (talented swimmers), cluster 2 to poor performances (nonproficient swimmers), and cluster 3 to average performance (proficient swimmers) in all moments. Stepwise discriminant analysis revealed that 100%, 94%, and 85% of original groups were correctly classified for the 1st, 2nd, and 3rd evaluation moments, respectively (0.11≤Λ≤0.80; 5.64≤χ2≤63.40; 0.001<P≤.68). Membership of clusters was moderately stable over the season (stability range 46.1-75% for the 2 clusters with most subjects). Cluster stability is a feasible, comprehensive, and informative method to gain insight into changes in performance and its determinant factors in young swimmers. Talented swimmers were characterized by anthropometrics and kinematic features.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1123/ijspp.2013-0533pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9304
dc.language.isoengpt_PT
dc.relationAVALIAÇÃO LONGITUDINAL DA PERFORMANCE EM NATAÇÃO PURA DESPORTIVA
dc.subjectAnthropometrypt_PT
dc.subjectAthletic Performancept_PT
dc.subjectBiomechanical Phenomenapt_PT
dc.subjectChildpt_PT
dc.subjectCluster Analysispt_PT
dc.subjectCompetitive Behaviorpt_PT
dc.subjectFemalept_PT
dc.subjectHumanspt_PT
dc.subjectLongitudinal Studiespt_PT
dc.subjectMalept_PT
dc.subjectPhysical Fitnesspt_PT
dc.subjectSeasonspt_PT
dc.subjectSwimmingpt_PT
dc.titleCluster Stability as a New Method to Assess Changes in Performance and its Determinant Factors Over a Season in Young Swimmerspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAVALIAÇÃO LONGITUDINAL DA PERFORMANCE EM NATAÇÃO PURA DESPORTIVA
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F76287%2F2011/PT
oaire.citation.endPage268pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage261pt_PT
oaire.citation.titleInternational Journal of Sports Physiology and Performancept_PT
oaire.citation.volume10pt_PT
person.familyNameMorais
person.familyNameSilva
person.familyNameMarinho
person.familyNameSEIFERT
person.familyNameBarbosa
person.givenNameJorge
person.givenNameAntónio
person.givenNameDaniel
person.givenNameLudovic
person.givenNameTiago M.
person.identifier.ciencia-idAA12-BF58-EE60
person.identifier.ciencia-id8C15-83CB-5566
person.identifier.ciencia-id471B-F3CC-479A
person.identifier.ciencia-id8B11-BDC4-F6FF
person.identifier.orcid0000-0002-6885-0648
person.identifier.orcid0000-0001-5790-5116
person.identifier.orcid0000-0003-2351-3047
person.identifier.orcid0000-0003-1712-5013
person.identifier.orcid0000-0001-7071-2116
person.identifier.scopus-author-id13410238400
person.identifier.scopus-author-id15022568500
person.identifier.scopus-author-id10044856400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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