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

dc.contributor.authorCosta, M.J.
dc.contributor.authorSantos, Catarina C.
dc.contributor.authorMarinho, D.A.
dc.contributor.authorSilva, A.J.
dc.contributor.authorBarbosa, Tiago M.
dc.date.accessioned2020-04-29T09:01:14Z
dc.date.available2020-04-29T09:01:14Z
dc.date.issued2020
dc.description.abstractThis 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 peakpt_PT
dc.description.sponsorshipThis research was funded by the Portuguese Science and Technology Foundation, under the project UID04045/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCosta, 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. 17:6pt_PT
dc.identifier.doi10.3390/ijerph17062126pt_PT
dc.identifier.issn1661-7827
dc.identifier.urihttp://hdl.handle.net/10198/21852
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPI AGpt_PT
dc.relationUID04045/2020pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSwimmingpt_PT
dc.subjectBiomechanicspt_PT
dc.subjectMale swimmerspt_PT
dc.titleModelling the 200 m front-crawl performance predictors at the winter season peakpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue6pt_PT
oaire.citation.titleInternational Journal of Environmental Research and Public Healthpt_PT
oaire.citation.volume17pt_PT
person.familyNameBarbosa
person.givenNameTiago M.
person.identifier.ciencia-id8B11-BDC4-F6FF
person.identifier.orcid0000-0001-7071-2116
person.identifier.scopus-author-id10044856400
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication941a6f14-cfba-458a-a2e3-0cbd1846cd42
relation.isAuthorOfPublication.latestForDiscovery941a6f14-cfba-458a-a2e3-0cbd1846cd42

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