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Estimating the Trunk Transverse Surface Area to Assess Swimmer’s Drag Force Based on their Competitive Level

The aim of this study was to compute and validate trunk transverse surface area (TTSA) estimation equations to be used assessing the swimmer’s drag force according to competitive level by gender. One group of 130 swimmers (54 females and 76 males) was used to compute the TTSA estimation equations an...

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Detalles Bibliográficos
Autores principales: Barbosa, Tiago M, Morais, Jorge E, Costa, Mário J, Mejias, Jean E, Marinho, Daniel A, Silva, António J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Akademia Wychowania Fizycznego w Katowicach 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590858/
https://www.ncbi.nlm.nih.gov/pubmed/23486371
http://dx.doi.org/10.2478/v10078-012-0019-3
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author Barbosa, Tiago M
Morais, Jorge E
Costa, Mário J
Mejias, Jean E
Marinho, Daniel A
Silva, António J
author_facet Barbosa, Tiago M
Morais, Jorge E
Costa, Mário J
Mejias, Jean E
Marinho, Daniel A
Silva, António J
author_sort Barbosa, Tiago M
collection PubMed
description The aim of this study was to compute and validate trunk transverse surface area (TTSA) estimation equations to be used assessing the swimmer’s drag force according to competitive level by gender. One group of 130 swimmers (54 females and 76 males) was used to compute the TTSA estimation equations and another group of 132 swimmers (56 females and 76 males) were used for its validations. Swimmers were photographed in the transverse plane from above, on land, in the upright and hydrodynamic position. The TTSA was measured from the swimmer’s photo with specific software. It was also measured the height, body mass, biacromial diameter, chest sagital diameter (CSD) and the chest perimeter (CP). With the first group of swimmers it was computed the TTSA estimation equations based on stepwise multiple regression models from the selected anthropometrical variables. The TTSA prediction equations were significant and with a prediction level qualitatively considered as moderate. All equations included only the CP and the CSD in the final models. In all prediction models there were no significant differences between assessed and estimated mean TTSA. Coefficients of determination for the linear regression models between assessed and estimated TTSA were moderate and significant. More than 80% of the plots were within the 95% interval confidence for the Bland-Altman analysis in both genders. So, TTSA estimation equations that are easy to be computed by coached and researchers were developed. All equations accomplished the validation criteria adopted.
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spelling pubmed-35908582013-03-13 Estimating the Trunk Transverse Surface Area to Assess Swimmer’s Drag Force Based on their Competitive Level Barbosa, Tiago M Morais, Jorge E Costa, Mário J Mejias, Jean E Marinho, Daniel A Silva, António J J Hum Kinet Research Article The aim of this study was to compute and validate trunk transverse surface area (TTSA) estimation equations to be used assessing the swimmer’s drag force according to competitive level by gender. One group of 130 swimmers (54 females and 76 males) was used to compute the TTSA estimation equations and another group of 132 swimmers (56 females and 76 males) were used for its validations. Swimmers were photographed in the transverse plane from above, on land, in the upright and hydrodynamic position. The TTSA was measured from the swimmer’s photo with specific software. It was also measured the height, body mass, biacromial diameter, chest sagital diameter (CSD) and the chest perimeter (CP). With the first group of swimmers it was computed the TTSA estimation equations based on stepwise multiple regression models from the selected anthropometrical variables. The TTSA prediction equations were significant and with a prediction level qualitatively considered as moderate. All equations included only the CP and the CSD in the final models. In all prediction models there were no significant differences between assessed and estimated mean TTSA. Coefficients of determination for the linear regression models between assessed and estimated TTSA were moderate and significant. More than 80% of the plots were within the 95% interval confidence for the Bland-Altman analysis in both genders. So, TTSA estimation equations that are easy to be computed by coached and researchers were developed. All equations accomplished the validation criteria adopted. Akademia Wychowania Fizycznego w Katowicach 2012-05-30 /pmc/articles/PMC3590858/ /pubmed/23486371 http://dx.doi.org/10.2478/v10078-012-0019-3 Text en © Editorial Committee of Journal of Human Kinetics http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Research Article
Barbosa, Tiago M
Morais, Jorge E
Costa, Mário J
Mejias, Jean E
Marinho, Daniel A
Silva, António J
Estimating the Trunk Transverse Surface Area to Assess Swimmer’s Drag Force Based on their Competitive Level
title Estimating the Trunk Transverse Surface Area to Assess Swimmer’s Drag Force Based on their Competitive Level
title_full Estimating the Trunk Transverse Surface Area to Assess Swimmer’s Drag Force Based on their Competitive Level
title_fullStr Estimating the Trunk Transverse Surface Area to Assess Swimmer’s Drag Force Based on their Competitive Level
title_full_unstemmed Estimating the Trunk Transverse Surface Area to Assess Swimmer’s Drag Force Based on their Competitive Level
title_short Estimating the Trunk Transverse Surface Area to Assess Swimmer’s Drag Force Based on their Competitive Level
title_sort estimating the trunk transverse surface area to assess swimmer’s drag force based on their competitive level
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590858/
https://www.ncbi.nlm.nih.gov/pubmed/23486371
http://dx.doi.org/10.2478/v10078-012-0019-3
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