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Longitudinal modeling in sports: Young swimmers’ performance and biomechanics profile

2014Journal article Open access
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dc.contributor.authorMorais, Jorge
dc.contributor.authorMarques, MC
dc.contributor.authorMarinho, Daniel
dc.contributor.authorSilva, António
dc.contributor.authorBarbosa, Tiago M.
dc.date.accessioned2020-02-18T11:29:41Z
dc.date.available2020-02-18T11:29:41Z
dc.date.issued2014
dc.description.abstractNew theories about dynamical systems highlight the multi-factorial interplay between determinant factors to achieve higher sports performances, including in swimming. Longitudinal research does provide useful information on the sportsmen's changes and how training help him to excel. These questions may be addressed in one single procedure such as latent growth modeling. The aim of the study was to model a latent growth curve of young swimmers' performance and biomechanics over a season. Fourteen boys (12.33 ± 0.65 years-old) and 16 girls (11.15 ± 0.55 years-old) were evaluated. Performance, stroke frequency, speed fluctuation, arm's propelling efficiency, active drag, active drag coefficient and power to overcome drag were collected in four different moments of the season. Latent growth curve modeling was computed to understand the longitudinal variation of performance (endogenous variables) over the season according to the biomechanics (exogenous variables). Latent growth curve modeling showed a high inter- and intra-subject variability in the performance growth. Gender had a significant effect at the baseline and during the performance growth. In each evaluation moment, different variables had a meaningful effect on performance (M1: Da, β = -0.62; M2: Da, β = -0.53; M3: η(p), β = 0.59; M4: SF, β = -0.57; all P < .001). The models' goodness-of-fit was 1.40 ⩽ χ(2)/df ⩽ 3.74 (good-reasonable). Latent modeling is a comprehensive way to gather insight about young swimmers' performance over time. Different variables were the main responsible for the performance improvement. A gender gap, intra- and inter-subject variability was verified.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.humov.2014.07.005pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9303
dc.language.isoengpt_PT
dc.relationAVALIAÇÃO LONGITUDINAL DA PERFORMANCE EM NATAÇÃO PURA DESPORTIVA
dc.subjectAdolescentpt_PT
dc.subjectAthletic Performancept_PT
dc.subjectBiomechanical Phenomenapt_PT
dc.subjectChildpt_PT
dc.subjectFemalept_PT
dc.subjectHumanspt_PT
dc.subjectHydrodynamicspt_PT
dc.subjectMalept_PT
dc.subjectModels Statisticalpt_PT
dc.subjectReproducibility of Resultspt_PT
dc.subjectResearch Designpt_PT
dc.subjectSeasonspt_PT
dc.subjectSurveys and Questionnairespt_PT
dc.subjectSportspt_PT
dc.subjectSwimmingpt_PT
dc.titleLongitudinal modeling in sports: Young swimmers’ performance and biomechanics profilept_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.endPage122pt_PT
oaire.citation.startPage111pt_PT
oaire.citation.titleHuman Movement Sciencept_PT
oaire.citation.volume37pt_PT
person.familyNameMorais
person.familyNameMARQUES
person.familyNameMarinho
person.familyNameSilva
person.familyNameBarbosa
person.givenNameJorge
person.givenNameMÁRIO
person.givenNameDaniel
person.givenNameAntónio
person.givenNameTiago M.
person.identifier.ciencia-idAA12-BF58-EE60
person.identifier.ciencia-idEA13-7532-0A6D
person.identifier.ciencia-id471B-F3CC-479A
person.identifier.ciencia-id8C15-83CB-5566
person.identifier.ciencia-id8B11-BDC4-F6FF
person.identifier.orcid0000-0002-6885-0648
person.identifier.orcid0000-0002-5812-1580
person.identifier.orcid0000-0003-2351-3047
person.identifier.orcid0000-0001-5790-5116
person.identifier.orcid0000-0001-7071-2116
person.identifier.scopus-author-id24773599000
person.identifier.scopus-author-id15022568500
person.identifier.scopus-author-id13410238400
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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