Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , |
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. |
id |
RCAP_642945de2c89714c5aa4f832063c6d7a |
---|---|
oai_identifier_str |
oai:estudogeral.uc.pt:10316/106431 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
format |
article |
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 |
dc.relation.none.fl_str_mv |
1648-9144 32967169 1648-9144 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1817550313111945216 |