Alternative methods for estimating maximum lactate steady state velocity in physically active young adults
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
Texto Completo: | https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2014v16n4p419 |
Resumo: | The aim of this study was to compare the velocities found in the protocols used to measure the indirect individual anaerobic threshold (IATind), glucose threshold (GT) and critical velocity (CV) with the gold standard, the maximum lactate steady state (MLSS) protocol. Fourteen physically active young adults (23±3.1 years; 72±10.97 kg; 176±7 cm; 21±5.36% body fat) performed a 3000-m track running test to determine IATind using the prediction equation and an incremental test on a treadmill to determine GT. The CV was identified by linear regression of the distance-time relationship based on 3000-m and 500-m running performance. The MLSS was identified using two to five tests on different days to identify the intensity at which there was no increase in blood lactate concentration greater than 1 mmol/L between the 10th and 30th minute. A significant difference was observed between mean CV and MLSS (P≤0.05) and there was a high correlation between MLSS and IATind (R2=0.82; P≤0.01) and between MLSS and GT (R2=0.72; P≤0.01). The Bland-Altman method showed agreement between MLSS and IATind [mean difference -0.24 (confidence interval -1.72 to 1.24) km/h] and between MLSS and GT [0.21 (-1.26 to 1.29) km/h]. We conclude that the IATind and GT can predict MLSS velocity with good accuracy, thus making the identification of MLSS practical and efficient to prescribe adequate intensities of aerobic exercise. |
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Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
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Alternative methods for estimating maximum lactate steady state velocity in physically active young adultsMétodos alternativos para estimar a velocidade da máxima fase estável de lactato em adultos jovens fisicamente ativosThe aim of this study was to compare the velocities found in the protocols used to measure the indirect individual anaerobic threshold (IATind), glucose threshold (GT) and critical velocity (CV) with the gold standard, the maximum lactate steady state (MLSS) protocol. Fourteen physically active young adults (23±3.1 years; 72±10.97 kg; 176±7 cm; 21±5.36% body fat) performed a 3000-m track running test to determine IATind using the prediction equation and an incremental test on a treadmill to determine GT. The CV was identified by linear regression of the distance-time relationship based on 3000-m and 500-m running performance. The MLSS was identified using two to five tests on different days to identify the intensity at which there was no increase in blood lactate concentration greater than 1 mmol/L between the 10th and 30th minute. A significant difference was observed between mean CV and MLSS (P≤0.05) and there was a high correlation between MLSS and IATind (R2=0.82; P≤0.01) and between MLSS and GT (R2=0.72; P≤0.01). The Bland-Altman method showed agreement between MLSS and IATind [mean difference -0.24 (confidence interval -1.72 to 1.24) km/h] and between MLSS and GT [0.21 (-1.26 to 1.29) km/h]. We conclude that the IATind and GT can predict MLSS velocity with good accuracy, thus making the identification of MLSS practical and efficient to prescribe adequate intensities of aerobic exercise.O objetivo do presente estudo foi comparar as velocidades encontradas nos protocolos de Limiar Anaeróbio Individual Indireto (LAIind), Limiar Glicêmico (LG) e Velocidade Crítica (VC) com o padrão ouro, o protocolo de identificação da máxima fase estável do lactato (MFEL). Participaram 14 adultos jovens fisicamente ativos (23±3,1 anos; 72±10,97 kg; 1,76±0,07 m; 21±5,36 % gordura corporal) que realizaram um teste de 3000m em pista para determinar o LAIind através de equação de predição; teste incremental em esteira ergométrica para determinação do LG; a VC foi identificada por regressão linear através da relação distância-tempo com base no desempenho em corridas nas distâncias de 3.000m e 500m; a MFEL foi identificada utilizando de dois a cinco testes em dias distintos até encontrar a intensidade onde não houve aumento da concentração de lactato sanguíneo maior que 1mmol.L-1 entre os minutos 10 e 30. Houve diferença estatística entre os valores médios daVC e a MFEL (P≤0,05), elevada correlação entre MFEL e LAIind (R2=0,82; P≤0.01) e MFEL e LG (R2=0,72; P≤0.01). Através do método Bland-Altman foram encontradas as concordânciasentre MFEL e LAIind [diferença média -0,24 (intervalo de confiança -1,72 a 1,24) km/h] e MFEL e LG [0,21 (-1,26 a 1,29) km/h]. Concluímos que o LAIind e o LG são testes que podem predizer com boa precisão a velocidade da MFEL, tornando sua identificação prática e eficiente para prescrição de intensidades adequadas para o treinamento aeróbio.Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil2014-05-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion"Avaliado por Pares",DescriptiveAvaliado por ParesDescritivoapplication/pdfhttps://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2014v16n4p41910.1590/1980-0037.2014v16n4p419Brazilian Journal of Kinanthropometry and Human Performance; Vol. 16 No. 4 (2014); 419-426Revista Brasileira de Cineantropometria e Desempenho Humano; v. 16 n. 4 (2014); 419-4261980-00371415-8426reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online)instname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCenghttps://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2014v16n4p419/26771Motoyama, Yuri LopesPereira, Paulo Eduardo de AssisEsteves, Gilmar de JesusDuarte, João Marcos PereiraCarrara, Vitor Karlos PiubelliRissato, Gustavo MelloAzevedo, Paulo Henrique Silva Marquesinfo:eu-repo/semantics/openAccess2018-12-05T08:18:38Zoai:periodicos.ufsc.br:article/29930Revistahttps://periodicos.ufsc.br/index.php/rbcdh/PUBhttps://periodicos.ufsc.br/index.php/rbcdh/oairbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br1980-00371415-8426opendoar:2018-12-05T08:18:38Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Alternative methods for estimating maximum lactate steady state velocity in physically active young adults Métodos alternativos para estimar a velocidade da máxima fase estável de lactato em adultos jovens fisicamente ativos |
title |
Alternative methods for estimating maximum lactate steady state velocity in physically active young adults |
spellingShingle |
Alternative methods for estimating maximum lactate steady state velocity in physically active young adults Motoyama, Yuri Lopes |
title_short |
Alternative methods for estimating maximum lactate steady state velocity in physically active young adults |
title_full |
Alternative methods for estimating maximum lactate steady state velocity in physically active young adults |
title_fullStr |
Alternative methods for estimating maximum lactate steady state velocity in physically active young adults |
title_full_unstemmed |
Alternative methods for estimating maximum lactate steady state velocity in physically active young adults |
title_sort |
Alternative methods for estimating maximum lactate steady state velocity in physically active young adults |
author |
Motoyama, Yuri Lopes |
author_facet |
Motoyama, Yuri Lopes Pereira, Paulo Eduardo de Assis Esteves, Gilmar de Jesus Duarte, João Marcos Pereira Carrara, Vitor Karlos Piubelli Rissato, Gustavo Mello Azevedo, Paulo Henrique Silva Marques |
author_role |
author |
author2 |
Pereira, Paulo Eduardo de Assis Esteves, Gilmar de Jesus Duarte, João Marcos Pereira Carrara, Vitor Karlos Piubelli Rissato, Gustavo Mello Azevedo, Paulo Henrique Silva Marques |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Motoyama, Yuri Lopes Pereira, Paulo Eduardo de Assis Esteves, Gilmar de Jesus Duarte, João Marcos Pereira Carrara, Vitor Karlos Piubelli Rissato, Gustavo Mello Azevedo, Paulo Henrique Silva Marques |
description |
The aim of this study was to compare the velocities found in the protocols used to measure the indirect individual anaerobic threshold (IATind), glucose threshold (GT) and critical velocity (CV) with the gold standard, the maximum lactate steady state (MLSS) protocol. Fourteen physically active young adults (23±3.1 years; 72±10.97 kg; 176±7 cm; 21±5.36% body fat) performed a 3000-m track running test to determine IATind using the prediction equation and an incremental test on a treadmill to determine GT. The CV was identified by linear regression of the distance-time relationship based on 3000-m and 500-m running performance. The MLSS was identified using two to five tests on different days to identify the intensity at which there was no increase in blood lactate concentration greater than 1 mmol/L between the 10th and 30th minute. A significant difference was observed between mean CV and MLSS (P≤0.05) and there was a high correlation between MLSS and IATind (R2=0.82; P≤0.01) and between MLSS and GT (R2=0.72; P≤0.01). The Bland-Altman method showed agreement between MLSS and IATind [mean difference -0.24 (confidence interval -1.72 to 1.24) km/h] and between MLSS and GT [0.21 (-1.26 to 1.29) km/h]. We conclude that the IATind and GT can predict MLSS velocity with good accuracy, thus making the identification of MLSS practical and efficient to prescribe adequate intensities of aerobic exercise. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-05-27 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion "Avaliado por Pares", Descriptive Avaliado por Pares Descritivo |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2014v16n4p419 10.1590/1980-0037.2014v16n4p419 |
url |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2014v16n4p419 |
identifier_str_mv |
10.1590/1980-0037.2014v16n4p419 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2014v16n4p419/26771 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil |
publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil |
dc.source.none.fl_str_mv |
Brazilian Journal of Kinanthropometry and Human Performance; Vol. 16 No. 4 (2014); 419-426 Revista Brasileira de Cineantropometria e Desempenho Humano; v. 16 n. 4 (2014); 419-426 1980-0037 1415-8426 reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online) instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
instname_str |
Universidade Federal de Santa Catarina (UFSC) |
instacron_str |
UFSC |
institution |
UFSC |
reponame_str |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
collection |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
rbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br |
_version_ |
1789435123527057408 |