Modelling the 200 m front-crawl performance predictors at the winter season peak
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
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/10198/21852 |
Resumo: | This study aimed to identify potential predictors of 200 m front crawl performance at the winter season peak based on the anthropometric, physiological and biomechanical domains. Twelve expert male swimmers completed an incremental 7 × 200 m step test immediately after their most important winter competitions. Measurements were made of: (i) height, body mass and arm span as anthropometrical parameters; (ii) velocity at a 4 mmol·L-1 lactate concentration (V4), maximal oxygen uptake (VO2máx) and energy cost (C), as physiological parameters; (iii) stroke frequency (SF), stroke length (SL), stroke index (SI) and propelling efficiency (ƞp) as biomechanical indicators; and (iv) 200 m front crawl race time in official long course competitions. Spearman correlation coefficients identified V4 as the single factor having significant relationship with performance. Simple regression analysis determined V4, SI and arm span as the most relevant variables of each group. Multiple linear regression models showed that physiological factors explained better (59%) the variation in performance at this stage of the season, followed by the biomechanical (14%) ones. Therefore, V4 can be one important aspect for training control and diagnosis for those who want to achieve success in the 200 m front crawl at the winter season peak |
id |
RCAP_1909b20729effe80f30ee8ff536cc9aa |
---|---|
oai_identifier_str |
oai:bibliotecadigital.ipb.pt:10198/21852 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Modelling the 200 m front-crawl performance predictors at the winter season peakSwimmingBiomechanicsMale swimmersThis study aimed to identify potential predictors of 200 m front crawl performance at the winter season peak based on the anthropometric, physiological and biomechanical domains. Twelve expert male swimmers completed an incremental 7 × 200 m step test immediately after their most important winter competitions. Measurements were made of: (i) height, body mass and arm span as anthropometrical parameters; (ii) velocity at a 4 mmol·L-1 lactate concentration (V4), maximal oxygen uptake (VO2máx) and energy cost (C), as physiological parameters; (iii) stroke frequency (SF), stroke length (SL), stroke index (SI) and propelling efficiency (ƞp) as biomechanical indicators; and (iv) 200 m front crawl race time in official long course competitions. Spearman correlation coefficients identified V4 as the single factor having significant relationship with performance. Simple regression analysis determined V4, SI and arm span as the most relevant variables of each group. Multiple linear regression models showed that physiological factors explained better (59%) the variation in performance at this stage of the season, followed by the biomechanical (14%) ones. Therefore, V4 can be one important aspect for training control and diagnosis for those who want to achieve success in the 200 m front crawl at the winter season peakThis research was funded by the Portuguese Science and Technology Foundation, under the project UID04045/2020MDPI AGBiblioteca Digital do IPBCosta, M.J.Santos, Catarina C.Marinho, D.A.Silva, A.J.Barbosa, Tiago M.2020-04-29T09:01:14Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/21852engCosta, M.J.; Santos, Catarina C.; Marinho, D.A.; Silva, A.J.; Barbosa, Tiago M. (2020). Modelling the 200 m front-crawl performance predictors at the winter season peak. International Journal of Environmental Research and Public Health. ISSN 1661-7827. 17:61661-782710.3390/ijerph17062126info: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:RCAAP2023-11-21T10:47:50Zoai:bibliotecadigital.ipb.pt:10198/21852Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:12:13.827089Repositório 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 |
Modelling the 200 m front-crawl performance predictors at the winter season peak |
title |
Modelling the 200 m front-crawl performance predictors at the winter season peak |
spellingShingle |
Modelling the 200 m front-crawl performance predictors at the winter season peak Costa, M.J. Swimming Biomechanics Male swimmers |
title_short |
Modelling the 200 m front-crawl performance predictors at the winter season peak |
title_full |
Modelling the 200 m front-crawl performance predictors at the winter season peak |
title_fullStr |
Modelling the 200 m front-crawl performance predictors at the winter season peak |
title_full_unstemmed |
Modelling the 200 m front-crawl performance predictors at the winter season peak |
title_sort |
Modelling the 200 m front-crawl performance predictors at the winter season peak |
author |
Costa, M.J. |
author_facet |
Costa, M.J. Santos, Catarina C. Marinho, D.A. Silva, A.J. Barbosa, Tiago M. |
author_role |
author |
author2 |
Santos, Catarina C. Marinho, D.A. Silva, A.J. Barbosa, Tiago M. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Costa, M.J. Santos, Catarina C. Marinho, D.A. Silva, A.J. Barbosa, Tiago M. |
dc.subject.por.fl_str_mv |
Swimming Biomechanics Male swimmers |
topic |
Swimming Biomechanics Male swimmers |
description |
This study aimed to identify potential predictors of 200 m front crawl performance at the winter season peak based on the anthropometric, physiological and biomechanical domains. Twelve expert male swimmers completed an incremental 7 × 200 m step test immediately after their most important winter competitions. Measurements were made of: (i) height, body mass and arm span as anthropometrical parameters; (ii) velocity at a 4 mmol·L-1 lactate concentration (V4), maximal oxygen uptake (VO2máx) and energy cost (C), as physiological parameters; (iii) stroke frequency (SF), stroke length (SL), stroke index (SI) and propelling efficiency (ƞp) as biomechanical indicators; and (iv) 200 m front crawl race time in official long course competitions. Spearman correlation coefficients identified V4 as the single factor having significant relationship with performance. Simple regression analysis determined V4, SI and arm span as the most relevant variables of each group. Multiple linear regression models showed that physiological factors explained better (59%) the variation in performance at this stage of the season, followed by the biomechanical (14%) ones. Therefore, V4 can be one important aspect for training control and diagnosis for those who want to achieve success in the 200 m front crawl at the winter season peak |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-29T09:01:14Z 2020 2020-01-01T00:00:00Z |
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/10198/21852 |
url |
http://hdl.handle.net/10198/21852 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Costa, M.J.; Santos, Catarina C.; Marinho, D.A.; Silva, A.J.; Barbosa, Tiago M. (2020). Modelling the 200 m front-crawl performance predictors at the winter season peak. International Journal of Environmental Research and Public Health. ISSN 1661-7827. 17:6 1661-7827 10.3390/ijerph17062126 |
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 |
MDPI AG |
publisher.none.fl_str_mv |
MDPI AG |
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_ |
1799135393633796096 |