Publicação
Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling
| 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 |
|---|---|
| Autores principais: | Rejman, Marek |
| Outros Autores: | Nevill, Alan M.; Garrido, Nuno D.; Rudnik, Daria; Morais, J.E. |
| Assunto: | Anthropometrics Body dimensions; modeling Performance Swimming |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Politécnica de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital da UPB |
| _version_ | 1877782779570159616 |
|---|---|
| author | Rejman, Marek |
| author2 | Nevill, Alan M. Garrido, Nuno D. Rudnik, Daria Morais, J.E. |
| author2_role | author author author author |
| author_facet | Rejman, Marek Nevill, Alan M. Garrido, Nuno D. Rudnik, Daria Morais, J.E. |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital da UPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Rejman, Marek\"},{\"Person.name\":\"Nevill, Alan M.\"},{\"Person.name\":\"Garrido, Nuno D.\"},{\"Person.name\":\"Rudnik, Daria\"},{\"Person.name\":\"Morais, J.E.\",\"Person.identifier.cienciaID\":\"AA12-BF58-EE60\",\"Person.identifier.orcid\":\"0000-0002-6885-0648\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital da UPB |
| datacite.creators.creator.creatorName.fl_str_mv | Rejman, Marek Nevill, Alan M. Garrido, Nuno D. Rudnik, Daria Morais, J.E. |
| datacite.date.Accepted.fl_str_mv | 2023-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2024-01-03T16:38:25Z |
| datacite.date.embargoed.fl_str_mv | 2024-01-03T16:38:25Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Anthropometrics Body dimensions; modeling Performance Swimming |
| datacite.titles.title.fl_str_mv | Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling |
| dc.contributor.none.fl_str_mv | Biblioteca Digital da UPB |
| dc.creator.none.fl_str_mv | Rejman, Marek Nevill, Alan M. Garrido, Nuno D. Rudnik, Daria Morais, J.E. |
| dc.date.Accepted.fl_str_mv | 2023-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2024-01-03T16:38:25Z |
| dc.date.embargoed.fl_str_mv | 2024-01-03T16:38:25Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/29087 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Frontiers Media SA |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Anthropometrics Body dimensions; modeling Performance Swimming |
| dc.title.fl_str_mv | Identification of key somatic features that are common and the ones that differ between swim strokes through allometric modeling |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| 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 |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://bibliotecadigital.unipb.pt/bitstreams/eefbf8dd-5c1d-4012-b9bd-bd5a65f2d8cb/download |
| id | ipb_eb4f790f1357d84a4fae1dd39eb21bac |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/29087 |
| inst_facet_str | urn:organizationAcronym:unipb{{{_:::_}}}Universidade Politécnica de Bragança |
| instacron_str | unipb |
| institution | Universidade Politécnica de Bragança |
| instname_str | Universidade Politécnica de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital da UPB |
| oai_identifier_str | oai:bibliotecadigital.unipb.pt:10198/29087 |
| organization_str_mv | urn:organizationAcronym:unipb |
| person_str_mv | Rejman, Marek Nevill, Alan M. Garrido, Nuno D. Rudnik, Daria Morais, J.E. Morais, J.E. https://www.ciencia-id.pt/AA12-BF58-EE60 AA12-BF58-EE60 http://orcid.org/0000-0002-6885-0648 0000-0002-6885-0648 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Frontiers Media SA |
| repo_facet_str | urn:repositoryAcronym:ipb{{{_:::_}}}Biblioteca Digital da UPB |
| reponame_str | Biblioteca Digital da UPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engFrontiers Media SApt_PTThe 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 performanceapplication/pdfpt_PTIdentification of key somatic features that are common and the ones that differ between swim strokes through allometric modelingRejman, MarekNevill, Alan M.Garrido, Nuno D.Rudnik, DariaPersonalMorais, J.E.DSpacehttp://dspace.org/items/80b13e62-254d-4d46-ad90-8b509ab523a8DSpacehttp://dspace.org/items/80b13e62-254d-4d46-ad90-8b509ab523a8MoraisJ.E.Ciência IDhttps://www.ciencia-id.ptAA12-BF58-EE60ORCIDhttp://orcid.org0000-0002-6885-0648HostingInstitutionOrganizationalBiblioteca Digital da UPBe-mailmailto:dspace@unipb.ptdspace@unipb.ptISSNIsPartOf2624-9367DOIIsPartOf10.3389/fspor.2023.13080332024-01-03T16:38:25Z20232023-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/29087http://purl.org/coar/access_right/c_abf2open accessAnthropometricsBody dimensions; modelingPerformanceSwimming681378 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2023http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.unipb.pt/bitstreams/eefbf8dd-5c1d-4012-b9bd-bd5a65f2d8cb/downloadFrontiers in Sports and Active Living517 |
| 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 |
| status | SINGLETON |
| subject.fl_str_mv | Anthropometrics Body dimensions; modeling Performance Swimming |
| title | 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_short | 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 |
| topic | Anthropometrics Body dimensions; modeling Performance Swimming |
| topic_facet | Anthropometrics Body dimensions; modeling Performance Swimming |
| url | http://hdl.handle.net/10198/29087 |
| visible | 1 |
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