Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports

Detalhes bibliográficos
Autor(a) principal: Coelho-e-Silva, Manuel J.
Data de Publicação: 2020
Outros Autores: Silva, Paulo Sousa e, Morato, Vinícius, Costa, Daniela, Martinho, Diogo V., Rama, Luis M., Valente-dos-Santos, João, Werneck, André O., Tavares, Óscar M., Conde, Jorge, Castanheira, Joaquim M., Soles-Gonçalves, Rui, Duarte, João P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/106431
https://doi.org/10.3390/medicina56090480
Resumo: Background and objectives: Athletes from combat sports are grouped into a series of weight categories that are intended to promote fair competition. Differences in performance are partly attributable to differences in body size. Consequently, ratio standards in which a performance variable is simply divided by an anthropometric characteristic such as body mass are often used, although this application is not recommended. This study aimed to obtain allometric models to interpret Wingate Anaerobic Test (WAnT) outputs among male adult athletes from combat sports. Materials and Methods: The sample was composed of 64 participants aged 18-39 years (24.2 ± 4.6 years). Stature and body mass (BM) were measured and air displacement plethysmography used to estimate fat mass and fat-free mass (FFM). Lower-limb lean soft tissue (LL-LST) was derived from dual energy X-ray absorptiometry. WAnT outputs were peak power (WAnT-PP) and mean power (WAnT-MP). Allometric models were obtained from simple and multiple linear regressions using log-transformed variables. Results: Models derived from a single three-dimension descriptor explained a large portion of variance: WAnT-PP (BM: 31.1%; FFM: 54%; LL-LST: 47.2%) and WAnT-MP (BM: 50.1%; FFM: 57.4%; LL-LST: 62.7%). Finally, the best proportional allometric models emerged from the combination of LL-LST and FFM (WAnT-PP: 55%; WAnT-MP: 65%). Conclusions: The relationship between weight categories and performance did not seem to be explained by the basic principles of geometric similarity.
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spelling Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sportsscalinganaerobic fitnessair displacement plethysmographydual energy X-ray absorptiometry (DXA)short-term maximal intensityBackground and objectives: Athletes from combat sports are grouped into a series of weight categories that are intended to promote fair competition. Differences in performance are partly attributable to differences in body size. Consequently, ratio standards in which a performance variable is simply divided by an anthropometric characteristic such as body mass are often used, although this application is not recommended. This study aimed to obtain allometric models to interpret Wingate Anaerobic Test (WAnT) outputs among male adult athletes from combat sports. Materials and Methods: The sample was composed of 64 participants aged 18-39 years (24.2 ± 4.6 years). Stature and body mass (BM) were measured and air displacement plethysmography used to estimate fat mass and fat-free mass (FFM). Lower-limb lean soft tissue (LL-LST) was derived from dual energy X-ray absorptiometry. WAnT outputs were peak power (WAnT-PP) and mean power (WAnT-MP). Allometric models were obtained from simple and multiple linear regressions using log-transformed variables. Results: Models derived from a single three-dimension descriptor explained a large portion of variance: WAnT-PP (BM: 31.1%; FFM: 54%; LL-LST: 47.2%) and WAnT-MP (BM: 50.1%; FFM: 57.4%; LL-LST: 62.7%). Finally, the best proportional allometric models emerged from the combination of LL-LST and FFM (WAnT-PP: 55%; WAnT-MP: 65%). Conclusions: The relationship between weight categories and performance did not seem to be explained by the basic principles of geometric similarity.MDPI2020-09-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106431http://hdl.handle.net/10316/106431https://doi.org/10.3390/medicina56090480eng1648-9144329671691648-9144Coelho-e-Silva, Manuel J.Silva, Paulo Sousa eMorato, ViníciusCosta, DanielaMartinho, Diogo V.Rama, Luis M.Valente-dos-Santos, JoãoWerneck, André O.Tavares, Óscar M.Conde, JorgeCastanheira, Joaquim M.Soles-Gonçalves, RuiDuarte, João P.info: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:RCAAP2023-04-03T20:36:01Zoai:estudogeral.uc.pt:10316/106431Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:22:53.287699Repositório 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 Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
title Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
spellingShingle Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
Coelho-e-Silva, Manuel J.
scaling
anaerobic fitness
air displacement plethysmography
dual energy X-ray absorptiometry (DXA)
short-term maximal intensity
title_short Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
title_full Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
title_fullStr Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
title_full_unstemmed Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
title_sort Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
author Coelho-e-Silva, Manuel J.
author_facet Coelho-e-Silva, Manuel J.
Silva, Paulo Sousa e
Morato, Vinícius
Costa, Daniela
Martinho, Diogo V.
Rama, Luis M.
Valente-dos-Santos, João
Werneck, André O.
Tavares, Óscar M.
Conde, Jorge
Castanheira, Joaquim M.
Soles-Gonçalves, Rui
Duarte, João P.
author_role author
author2 Silva, Paulo Sousa e
Morato, Vinícius
Costa, Daniela
Martinho, Diogo V.
Rama, Luis M.
Valente-dos-Santos, João
Werneck, André O.
Tavares, Óscar M.
Conde, Jorge
Castanheira, Joaquim M.
Soles-Gonçalves, Rui
Duarte, João P.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Coelho-e-Silva, Manuel J.
Silva, Paulo Sousa e
Morato, Vinícius
Costa, Daniela
Martinho, Diogo V.
Rama, Luis M.
Valente-dos-Santos, João
Werneck, André O.
Tavares, Óscar M.
Conde, Jorge
Castanheira, Joaquim M.
Soles-Gonçalves, Rui
Duarte, João P.
dc.subject.por.fl_str_mv scaling
anaerobic fitness
air displacement plethysmography
dual energy X-ray absorptiometry (DXA)
short-term maximal intensity
topic scaling
anaerobic fitness
air displacement plethysmography
dual energy X-ray absorptiometry (DXA)
short-term maximal intensity
description Background and objectives: Athletes from combat sports are grouped into a series of weight categories that are intended to promote fair competition. Differences in performance are partly attributable to differences in body size. Consequently, ratio standards in which a performance variable is simply divided by an anthropometric characteristic such as body mass are often used, although this application is not recommended. This study aimed to obtain allometric models to interpret Wingate Anaerobic Test (WAnT) outputs among male adult athletes from combat sports. Materials and Methods: The sample was composed of 64 participants aged 18-39 years (24.2 ± 4.6 years). Stature and body mass (BM) were measured and air displacement plethysmography used to estimate fat mass and fat-free mass (FFM). Lower-limb lean soft tissue (LL-LST) was derived from dual energy X-ray absorptiometry. WAnT outputs were peak power (WAnT-PP) and mean power (WAnT-MP). Allometric models were obtained from simple and multiple linear regressions using log-transformed variables. Results: Models derived from a single three-dimension descriptor explained a large portion of variance: WAnT-PP (BM: 31.1%; FFM: 54%; LL-LST: 47.2%) and WAnT-MP (BM: 50.1%; FFM: 57.4%; LL-LST: 62.7%). Finally, the best proportional allometric models emerged from the combination of LL-LST and FFM (WAnT-PP: 55%; WAnT-MP: 65%). Conclusions: The relationship between weight categories and performance did not seem to be explained by the basic principles of geometric similarity.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-21
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/10316/106431
http://hdl.handle.net/10316/106431
https://doi.org/10.3390/medicina56090480
url http://hdl.handle.net/10316/106431
https://doi.org/10.3390/medicina56090480
dc.language.iso.fl_str_mv eng
language eng
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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