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Modelling the 200 m front-crawl performance predictors at the winter season peak

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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
Autores principais:Costa, M.J.
Outros Autores:Santos, Catarina C.; Marinho, D.A.; Silva, A.J.; Barbosa, Tiago M.
Assunto:Swimming Biomechanics Male swimmers
Ano:2020
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Costa, M.J.
author2 Santos, Catarina C.
Marinho, D.A.
Silva, A.J.
Barbosa, Tiago M.
author2_role author
author
author
author
author_facet Costa, M.J.
Santos, Catarina C.
Marinho, D.A.
Silva, A.J.
Barbosa, Tiago M.
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Costa, M.J.\"},{\"Person.name\":\"Santos, Catarina C.\"},{\"Person.name\":\"Marinho, D.A.\"},{\"Person.name\":\"Silva, A.J.\"},{\"Person.name\":\"Barbosa, Tiago M.\",\"Person.identifier.orcid\":\"0000-0001-7071-2116\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Costa, M.J.
Santos, Catarina C.
Marinho, D.A.
Silva, A.J.
Barbosa, Tiago M.
datacite.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2020-04-29T09:01:14Z
datacite.date.embargoed.fl_str_mv 2020-04-29T09:01:14Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Swimming
Biomechanics
Male swimmers
datacite.titles.title.fl_str_mv Modelling the 200 m front-crawl performance predictors at the winter season peak
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Costa, M.J.
Santos, Catarina C.
Marinho, D.A.
Silva, A.J.
Barbosa, Tiago M.
dc.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
dc.date.available.fl_str_mv 2020-04-29T09:01:14Z
dc.date.embargoed.fl_str_mv 2020-04-29T09:01:14Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/21852
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv MDPI AG
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 Swimming
Biomechanics
Male swimmers
dc.title.fl_str_mv Modelling the 200 m front-crawl performance predictors at the winter season peak
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
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
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eu_rights_str_mv openAccess
format article
fulltext.url.fl_str_mv https://bibliotecadigital.ipb.pt/bitstreams/8d4098d0-5c34-4ffd-a1b2-9b34f21f6217/download
id ipb_1909b20729effe80f30ee8ff536cc9aa
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institution Instituto Politécnico de Bragança
instname_str Instituto Politécnico de Bragança
language eng
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network_name_str Biblioteca Digital do IPB
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/21852
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Costa, M.J.
Santos, Catarina C.
Marinho, D.A.
Silva, A.J.
Barbosa, Tiago M.
Barbosa, Tiago M.
https://www.ciencia-id.pt/8B11-BDC4-F6FF
8B11-BDC4-F6FF
http://orcid.org/0000-0001-7071-2116
0000-0001-7071-2116
publishDate 2020
publisher.none.fl_str_mv MDPI AG
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
service_str_mv urn:repositoryAcronym:ipb
spelling engMDPI AGpt_PTThis 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 peakapplication/pdfpt_PTModelling the 200 m front-crawl performance predictors at the winter season peakCosta, M.J.Santos, Catarina C.Marinho, D.A.Silva, A.J.PersonalBarbosa, Tiago M.DSpacehttp://dspace.org/items/941a6f14-cfba-458a-a2e3-0cbd1846cd42DSpacehttp://dspace.org/items/941a6f14-cfba-458a-a2e3-0cbd1846cd42BarbosaTiago M.Ciência IDhttps://www.ciencia-id.pt8B11-BDC4-F6FFORCIDhttp://orcid.org0000-0001-7071-2116Scopus Author IDhttps://www.scopus.com10044856400HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISSNIsPartOf1661-7827DOIIsPartOf10.3390/ijerph170621262020-04-29T09:01:14Z20202020-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/21852http://purl.org/coar/access_right/c_abf2open accessSwimmingBiomechanicsMale swimmers276124 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2020http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/8d4098d0-5c34-4ffd-a1b2-9b34f21f6217/downloadInternational Journal of Environmental Research and Public Health176
spellingShingle Modelling the 200 m front-crawl performance predictors at the winter season peak
Costa, M.J.
Swimming
Biomechanics
Male swimmers
status SINGLETON
subject.fl_str_mv Swimming
Biomechanics
Male swimmers
title 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_short 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
topic Swimming
Biomechanics
Male swimmers
topic_facet Swimming
Biomechanics
Male swimmers
url http://hdl.handle.net/10198/21852
visible 1