Integrated Analysis of Young Swimmers’ Sprint Performance

Detalhes bibliográficos
Autor(a) principal: Silva, Ana F.
Data de Publicação: 2019
Outros Autores: Figueiredo, Pedro, Ribeiro, João, Alves, Francisco, Vilas-Boas, João Paulo, Seifert, Ludovic, Fernandes, Ricardo J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.24/1837
Resumo: To analyze young swimmers' performance regarding sex and skill level, 23 boys and 26 girls (15.7 ± 0.8 and 14.5 ± 0.8 years old, respectively) were assessed for anthropometry, flexibility, strength, drag, coordination, and biomechanical variables. During a 50-m maximal front-crawl bout, seven aerial and six underwater Qualisys cameras assessed kinematics, and a load cell was used to measure drag (Tedea, United Kingdom) and tethered swimming force. A multivariate analysis of variance test (p < .05) enabled us to observe differences between skill levels in speed, stroke frequency, stroke index, and intracyclic velocity variations, but most relevant differences were noticed when comparing sexes, particularly for anthropometrics, shoulder flexibility, speed, stroke frequency, stroke length, drag, mechanical power, power per stroke, and maximal and mean force. Considering the included variables, only male swimmers' performance could be predicted through multiple linear regression, with stroke index, left shoulder flexion, and intracycle velocity variations showing great importance in achieving better results.
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spelling Integrated Analysis of Young Swimmers’ Sprint PerformanceAdolescentAthletic PerformanceBiomechanical PhenomenaFemaleHumansMaleSwimmingTo analyze young swimmers' performance regarding sex and skill level, 23 boys and 26 girls (15.7 ± 0.8 and 14.5 ± 0.8 years old, respectively) were assessed for anthropometry, flexibility, strength, drag, coordination, and biomechanical variables. During a 50-m maximal front-crawl bout, seven aerial and six underwater Qualisys cameras assessed kinematics, and a load cell was used to measure drag (Tedea, United Kingdom) and tethered swimming force. A multivariate analysis of variance test (p < .05) enabled us to observe differences between skill levels in speed, stroke frequency, stroke index, and intracyclic velocity variations, but most relevant differences were noticed when comparing sexes, particularly for anthropometrics, shoulder flexibility, speed, stroke frequency, stroke length, drag, mechanical power, power per stroke, and maximal and mean force. Considering the included variables, only male swimmers' performance could be predicted through multiple linear regression, with stroke index, left shoulder flexion, and intracycle velocity variations showing great importance in achieving better results.Repositório Científico da UMAIASilva, Ana F.Figueiredo, PedroRibeiro, JoãoAlves, FranciscoVilas-Boas, João PauloSeifert, LudovicFernandes, Ricardo J.2021-04-29T15:45:37Z2019-01-01T00:00:00Z2019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.24/1837eng10.1123/mc.2018-0014metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-26T16:01:21Zoai:repositorio.umaia.pt:10400.24/1837Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:10:11.639596Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Integrated Analysis of Young Swimmers’ Sprint Performance
title Integrated Analysis of Young Swimmers’ Sprint Performance
spellingShingle Integrated Analysis of Young Swimmers’ Sprint Performance
Silva, Ana F.
Adolescent
Athletic Performance
Biomechanical Phenomena
Female
Humans
Male
Swimming
title_short Integrated Analysis of Young Swimmers’ Sprint Performance
title_full Integrated Analysis of Young Swimmers’ Sprint Performance
title_fullStr Integrated Analysis of Young Swimmers’ Sprint Performance
title_full_unstemmed Integrated Analysis of Young Swimmers’ Sprint Performance
title_sort Integrated Analysis of Young Swimmers’ Sprint Performance
author Silva, Ana F.
author_facet Silva, Ana F.
Figueiredo, Pedro
Ribeiro, João
Alves, Francisco
Vilas-Boas, João Paulo
Seifert, Ludovic
Fernandes, Ricardo J.
author_role author
author2 Figueiredo, Pedro
Ribeiro, João
Alves, Francisco
Vilas-Boas, João Paulo
Seifert, Ludovic
Fernandes, Ricardo J.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico da UMAIA
dc.contributor.author.fl_str_mv Silva, Ana F.
Figueiredo, Pedro
Ribeiro, João
Alves, Francisco
Vilas-Boas, João Paulo
Seifert, Ludovic
Fernandes, Ricardo J.
dc.subject.por.fl_str_mv Adolescent
Athletic Performance
Biomechanical Phenomena
Female
Humans
Male
Swimming
topic Adolescent
Athletic Performance
Biomechanical Phenomena
Female
Humans
Male
Swimming
description To analyze young swimmers' performance regarding sex and skill level, 23 boys and 26 girls (15.7 ± 0.8 and 14.5 ± 0.8 years old, respectively) were assessed for anthropometry, flexibility, strength, drag, coordination, and biomechanical variables. During a 50-m maximal front-crawl bout, seven aerial and six underwater Qualisys cameras assessed kinematics, and a load cell was used to measure drag (Tedea, United Kingdom) and tethered swimming force. A multivariate analysis of variance test (p < .05) enabled us to observe differences between skill levels in speed, stroke frequency, stroke index, and intracyclic velocity variations, but most relevant differences were noticed when comparing sexes, particularly for anthropometrics, shoulder flexibility, speed, stroke frequency, stroke length, drag, mechanical power, power per stroke, and maximal and mean force. Considering the included variables, only male swimmers' performance could be predicted through multiple linear regression, with stroke index, left shoulder flexion, and intracycle velocity variations showing great importance in achieving better results.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01T00:00:00Z
2019-01-01T00:00:00Z
2021-04-29T15:45:37Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.24/1837
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1123/mc.2018-0014
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