Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling

Detalhes bibliográficos
Autor(a) principal: Rejman, Marek
Data de Publicação: 2023
Outros Autores: Nevill, Alan M., Garrido, Nuno D., Rudnik, Daria, Morais, J.E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/29087
Resumo: The aim of this study was to explore which key somatic features are common to four swim strokes and medley, and specifically to identify which characteristics benefit only specific strokes. Methods: The sample was composed of 130 swimmers (95 males aged 19.5 ± 2.9 years and 35 females aged 18.4 ± 2.8 years). A set of anthropometric variables was used to predict swimming speed in the four swimming strokes and medley. Results: A multiplicative model with allometric body size components was used to identify the demographic and anthropometric predictors of swimming speed. Trunk height and waist circumference were the only variables significantly different among swimming strokes (p < 0.05). Associations between swimming speed and arm length were similar in breaststroke and medley, and in freestyle, backstroke and butterfly (R2 = 60.9%). The model retained as swimming speed predictors the age2, upper body circumference, hand breadth, waist circumference, and subscapular skinfold thickness (these last two had negative associations). Conclusion: All these predictors were common to all four swim strokes and medley. Arm length was also retained as a significant predictor, but this one varied significantly between the four different swim strokes and medley. These findings highlight the importance of having a “V-shape” trunk, longer upper limbs, and large hands as predictors of swimming performance
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spelling Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modelingAnthropometricsBody dimensions; modelingPerformanceSwimmingThe aim of this study was to explore which key somatic features are common to four swim strokes and medley, and specifically to identify which characteristics benefit only specific strokes. Methods: The sample was composed of 130 swimmers (95 males aged 19.5 ± 2.9 years and 35 females aged 18.4 ± 2.8 years). A set of anthropometric variables was used to predict swimming speed in the four swimming strokes and medley. Results: A multiplicative model with allometric body size components was used to identify the demographic and anthropometric predictors of swimming speed. Trunk height and waist circumference were the only variables significantly different among swimming strokes (p < 0.05). Associations between swimming speed and arm length were similar in breaststroke and medley, and in freestyle, backstroke and butterfly (R2 = 60.9%). The model retained as swimming speed predictors the age2, upper body circumference, hand breadth, waist circumference, and subscapular skinfold thickness (these last two had negative associations). Conclusion: All these predictors were common to all four swim strokes and medley. Arm length was also retained as a significant predictor, but this one varied significantly between the four different swim strokes and medley. These findings highlight the importance of having a “V-shape” trunk, longer upper limbs, and large hands as predictors of swimming performanceNG and JM were supported by National Funds (FCT—Portuguese Foundation for Science and Technology) under the project UIDB/DTP/04045/2020.Frontiers Media SABiblioteca Digital do IPBRejman, MarekNevill, Alan M.Garrido, Nuno D.Rudnik, DariaMorais, J.E.2024-01-03T16:38:25Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/29087engRejman, Marek; Nevill, Alan M.; Garrido, Nuno D.; Rudnik, Daria; Morais, J.E. (2023). Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling. Frontiers in Sports and Active Living. ISSN 2624-9367. 5, p. 1-72624-936710.3389/fspor.2023.1308033info: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:RCAAP2024-01-10T01:18:55Zoai:bibliotecadigital.ipb.pt:10198/29087Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:30:59.986008Repositório 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 Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
title Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
spellingShingle Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
Rejman, Marek
Anthropometrics
Body dimensions; modeling
Performance
Swimming
title_short Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
title_full Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
title_fullStr Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
title_full_unstemmed Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
title_sort Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
author Rejman, Marek
author_facet Rejman, Marek
Nevill, Alan M.
Garrido, Nuno D.
Rudnik, Daria
Morais, J.E.
author_role author
author2 Nevill, Alan M.
Garrido, Nuno D.
Rudnik, Daria
Morais, J.E.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Rejman, Marek
Nevill, Alan M.
Garrido, Nuno D.
Rudnik, Daria
Morais, J.E.
dc.subject.por.fl_str_mv Anthropometrics
Body dimensions; modeling
Performance
Swimming
topic Anthropometrics
Body dimensions; modeling
Performance
Swimming
description The aim of this study was to explore which key somatic features are common to four swim strokes and medley, and specifically to identify which characteristics benefit only specific strokes. Methods: The sample was composed of 130 swimmers (95 males aged 19.5 ± 2.9 years and 35 females aged 18.4 ± 2.8 years). A set of anthropometric variables was used to predict swimming speed in the four swimming strokes and medley. Results: A multiplicative model with allometric body size components was used to identify the demographic and anthropometric predictors of swimming speed. Trunk height and waist circumference were the only variables significantly different among swimming strokes (p < 0.05). Associations between swimming speed and arm length were similar in breaststroke and medley, and in freestyle, backstroke and butterfly (R2 = 60.9%). The model retained as swimming speed predictors the age2, upper body circumference, hand breadth, waist circumference, and subscapular skinfold thickness (these last two had negative associations). Conclusion: All these predictors were common to all four swim strokes and medley. Arm length was also retained as a significant predictor, but this one varied significantly between the four different swim strokes and medley. These findings highlight the importance of having a “V-shape” trunk, longer upper limbs, and large hands as predictors of swimming performance
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
2024-01-03T16:38:25Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/29087
url http://hdl.handle.net/10198/29087
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Rejman, Marek; Nevill, Alan M.; Garrido, Nuno D.; Rudnik, Daria; Morais, J.E. (2023). Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling. Frontiers in Sports and Active Living. ISSN 2624-9367. 5, p. 1-7
2624-9367
10.3389/fspor.2023.1308033
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Media SA
publisher.none.fl_str_mv Frontiers Media SA
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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