Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.

Detalhes bibliográficos
Autor(a) principal: Morais, Jorge
Data de Publicação: 2012
Outros Autores: Costa, Mário, Moreira, Marc, Barbosa, Tiago
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10314/3294
Resumo: The purpose of this study was to compare the active drag coefficient (CDa) of young swimmers using three different ways of measuring the trunk transverse surface area (TTSA). 23 young swimmers, including 12 boys and 11 girls were analyzed. The velocity perturbation method of Kolmogorov was used to compute CDa. The TTSA was calculated based on three methods: (i) measured by photogrammetric; (ii) estimated by the equation developed by Clarys and; (iii) estimated from the equations developed by Morais et al.. Three procedures were used in the comparison CDa values: (i) T-Student test; (ii) simple linear regression analysis and; (iii) Bland Altman plots. All paired samples showed significant differences (p <0.001) when comparing mean values. However, there were significant correlations (p <0.001) between the paired samples in the simple linear regression analysis, and the in the Bland Altman plots for all conditions studied. At least 80% of the plots were within the ± 1.96 standard deviation of the difference. As a conclusion, the mean values of CDa computed with TTSA estimated with the equations developed by Morais et al. were the ones with lower difference compared with TTSA measured directly. Those should be used by coaches and investigators in order to estimate TTSA for CDa computing.
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spelling Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.The purpose of this study was to compare the active drag coefficient (CDa) of young swimmers using three different ways of measuring the trunk transverse surface area (TTSA). 23 young swimmers, including 12 boys and 11 girls were analyzed. The velocity perturbation method of Kolmogorov was used to compute CDa. The TTSA was calculated based on three methods: (i) measured by photogrammetric; (ii) estimated by the equation developed by Clarys and; (iii) estimated from the equations developed by Morais et al.. Three procedures were used in the comparison CDa values: (i) T-Student test; (ii) simple linear regression analysis and; (iii) Bland Altman plots. All paired samples showed significant differences (p <0.001) when comparing mean values. However, there were significant correlations (p <0.001) between the paired samples in the simple linear regression analysis, and the in the Bland Altman plots for all conditions studied. At least 80% of the plots were within the ± 1.96 standard deviation of the difference. As a conclusion, the mean values of CDa computed with TTSA estimated with the equations developed by Morais et al. were the ones with lower difference compared with TTSA measured directly. Those should be used by coaches and investigators in order to estimate TTSA for CDa computing.Desafio Singular2016-11-19T21:26:09Z2016-11-192012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10314/3294http://hdl.handle.net/10314/3294engMORAIS JE, COSTA MJ, MOREIRA MF, BARBOSA TM, (2012) Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area. Motricidade, 8 (S1): 19-25.Morais, JorgeCosta, MárioMoreira, MarcBarbosa, Tiagoinfo: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:RCAAP2024-01-14T02:56:44Zoai:bdigital.ipg.pt:10314/3294Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:42:37.719411Repositório 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 Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.
title Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.
spellingShingle Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.
Morais, Jorge
title_short Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.
title_full Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.
title_fullStr Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.
title_full_unstemmed Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.
title_sort Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area.
author Morais, Jorge
author_facet Morais, Jorge
Costa, Mário
Moreira, Marc
Barbosa, Tiago
author_role author
author2 Costa, Mário
Moreira, Marc
Barbosa, Tiago
author2_role author
author
author
dc.contributor.author.fl_str_mv Morais, Jorge
Costa, Mário
Moreira, Marc
Barbosa, Tiago
description The purpose of this study was to compare the active drag coefficient (CDa) of young swimmers using three different ways of measuring the trunk transverse surface area (TTSA). 23 young swimmers, including 12 boys and 11 girls were analyzed. The velocity perturbation method of Kolmogorov was used to compute CDa. The TTSA was calculated based on three methods: (i) measured by photogrammetric; (ii) estimated by the equation developed by Clarys and; (iii) estimated from the equations developed by Morais et al.. Three procedures were used in the comparison CDa values: (i) T-Student test; (ii) simple linear regression analysis and; (iii) Bland Altman plots. All paired samples showed significant differences (p <0.001) when comparing mean values. However, there were significant correlations (p <0.001) between the paired samples in the simple linear regression analysis, and the in the Bland Altman plots for all conditions studied. At least 80% of the plots were within the ± 1.96 standard deviation of the difference. As a conclusion, the mean values of CDa computed with TTSA estimated with the equations developed by Morais et al. were the ones with lower difference compared with TTSA measured directly. Those should be used by coaches and investigators in order to estimate TTSA for CDa computing.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01T00:00:00Z
2016-11-19T21:26:09Z
2016-11-19
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10314/3294
http://hdl.handle.net/10314/3294
url http://hdl.handle.net/10314/3294
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv MORAIS JE, COSTA MJ, MOREIRA MF, BARBOSA TM, (2012) Comparison of young swimmer’s active drag coefficient using three methods to compute trunk transverse surface area. Motricidade, 8 (S1): 19-25.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Desafio Singular
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