Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , |
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 |
id |
RCAP_3ea6d5fe44ee27061d2556fda4747c30 |
---|---|
oai_identifier_str |
oai:bibliotecadigital.ipb.pt:10198/29087 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1817550711127277568 |