Publication
Effects of anthropometrics, thrust, and drag on stroke kinematics and 100 m performance of young swimmers using path‐analysis modeling
dc.contributor.author | Morais, J.E. | |
dc.contributor.author | Barbosa, Tiago M. | |
dc.contributor.author | Gomeñuka, Natalia A. | |
dc.contributor.author | Marinho, D.A. | |
dc.date.accessioned | 2024-02-19T15:15:57Z | |
dc.date.available | 2024-02-19T15:15:57Z | |
dc.date.issued | 2024 | |
dc.description.abstract | The aim of this study was to understand the interactions between anthropomet- ric, kinetic, and kinematic variables and how they determine the 100 m freestyle performance in young swimmers. Twenty-five adolescent swimmers (15 male and 10 female, aged 15.75 ± 1.01 years) who regularly participated in regional and national competitions were recruited. The 100 m freestyle performance was cho- sen as the variable to be predicted. A series of anthropometric (hand surface area– HSA), kinetic (thrust and active drag coefficient (CDA)), and kinematic (stroke length (SL); stroke frequency (SF), and swimming speed) variables were meas- ured. Structural equation modeling (via path analysis) was used to develop and test the model. The initial model predicted performance with 90.1% accuracy. All paths were significant (p < 0.05) except the thrust—SL. After deleting this non- significant path (thrust—SL) and recalculating, the model goodness-of- fit im- proved and all paths were significant (p < 0.05). The predicted performance was 90.2%. Anthropometrics had significant effects on kinetics, which had significant effects on kinematics, and consequently on the 100 m freestyle performance. The cascade of interactions based on this path-flow model allowed for a meaningful prediction of the 100 m freestyle performance. Based on these results, coaches and swimmers should be aware that the swimming predictors can first meaningfully interact with each other to ultimately predict the 100 m freestyle performance. | pt_PT |
dc.description.sponsorship | This work is supported by national funds (FCT-Portuguese Foundation for Science and Technology) under the project UIDB/DTP/04045/2020. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Morais, J.E.; Barbosa, Tiago M.; Gomeñuka, Natalia A.; Marinho, Daniel A. (2024). Effects of anthropometrics, thrust, and drag on stroke kinematics and 100 m performance of young swimmers using path‐analysis modeling. Scandinavian Journal of Medicine & Science in Sports. ISSN 0905-7188. 34:2, p. 1-10 | pt_PT |
dc.identifier.doi | 10.1111/sms.14578 | pt_PT |
dc.identifier.eissn | 1600-0838 | |
dc.identifier.issn | 0905-7188 | |
dc.identifier.uri | http://hdl.handle.net/10198/29534 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Wiley | pt_PT |
dc.relation | Research Center in Sports Sciences, Health and Human Development | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Biomechanics | pt_PT |
dc.subject | Deterministic models | pt_PT |
dc.subject | Modeling | pt_PT |
dc.subject | Performance | pt_PT |
dc.subject | Swimming | pt_PT |
dc.title | Effects of anthropometrics, thrust, and drag on stroke kinematics and 100 m performance of young swimmers using path‐analysis modeling | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | Research Center in Sports Sciences, Health and Human Development | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04045%2F2020/PT | |
oaire.citation.issue | 2 | pt_PT |
oaire.citation.title | Scandinavian Journal of Medicine & Science in Sports | pt_PT |
oaire.citation.volume | 34 | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Morais | |
person.familyName | Barbosa | |
person.givenName | J. E. | |
person.givenName | Tiago M. | |
person.identifier | 867179 | |
person.identifier.ciencia-id | AA12-BF58-EE60 | |
person.identifier.ciencia-id | 8B11-BDC4-F6FF | |
person.identifier.orcid | 0000-0002-6885-0648 | |
person.identifier.orcid | 0000-0001-7071-2116 | |
person.identifier.scopus-author-id | 10044856400 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 80b13e62-254d-4d46-ad90-8b509ab523a8 | |
relation.isAuthorOfPublication | 941a6f14-cfba-458a-a2e3-0cbd1846cd42 | |
relation.isAuthorOfPublication.latestForDiscovery | 80b13e62-254d-4d46-ad90-8b509ab523a8 | |
relation.isProjectOfPublication | b305d97a-cacc-41ea-9c2b-e6554b5ee167 | |
relation.isProjectOfPublication.latestForDiscovery | b305d97a-cacc-41ea-9c2b-e6554b5ee167 |
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