Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UCB |
Texto Completo: | http://hdl.handle.net/123456789/161 https://repositorio.ucb.br:9443/jspui/handle/123456789/7441 |
Resumo: | Stationary cycling tests were used to analyze the validity of methods for estimating the Maximal Lactate Steady State (MLSS) and the velocity and heart rate (HR) that are sustainable during a 40-km time trial. Methods: 11 cyclists (23.9±4.1 years; 178±6.8 cm tall; 68.8±5.4 kg) performed the following tests on a cyclosimulator, using their own bicycles: 1) Determination of the mean velocity and HR achieved during a 5-km (5kmVel and HR5km) and a 40-km time trial (40kmVel and HR40km). 2) 2-3 endurance tests to determine MLSSV with blood lactate ([lac]) measurements. The relationship between MLSSV and 5kmVel in data from Harnish et al. (2001) was also used to calculate predicted MLSSV (km·h-1): [MLSSVp = 0.8809 x 5kmVel + 1.6365]. The HR corresponding to MLSSV (MLSSHR) was estimated by taking 88% of HR5km (maximal- HR) (Swensen et al. 1999). Results: The 5kmVel, 40kmVel, MLSSV and MLSSVp were 50.07±2.03, 45.57±1.97, 45.64±2.0 and 45.77±1.77km·h-1 respectively. No differences were found between 40kmVel, MLSSV and MLSSVp. Neither did [lac] or HR corresponding to MLSSV/40kmVel exhibit differences (4.5±0.6/4.2±0.3mM and 175.1±3.0/176.8±3.1 bpm). The MLSSV was 90.9±0.5% of 5kmVel and MLSSHR was 93.6±0.5% of HR5km. Conclusion: The equation proposed is valid for estimating both MLSSV and 40kmVel on a stationary cyclosimulator. |
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Campbell, Carmen Silvia GrubertSousa, Wagner HenriqueFerreira, Juciléa NeresAssenço, FlorentinoSimões, Herbert Gustavo2016-10-10T03:51:30Z2016-10-10T03:51:30Z2007CAMPBELL, Carmen Silvia Grubert et al. Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test. Revista Brasileira de Cineantropometria & Desempenho Humano, v. 9, p. 223-230, 2007.1415-8426http://hdl.handle.net/123456789/161https://repositorio.ucb.br:9443/jspui/handle/123456789/7441Stationary cycling tests were used to analyze the validity of methods for estimating the Maximal Lactate Steady State (MLSS) and the velocity and heart rate (HR) that are sustainable during a 40-km time trial. Methods: 11 cyclists (23.9±4.1 years; 178±6.8 cm tall; 68.8±5.4 kg) performed the following tests on a cyclosimulator, using their own bicycles: 1) Determination of the mean velocity and HR achieved during a 5-km (5kmVel and HR5km) and a 40-km time trial (40kmVel and HR40km). 2) 2-3 endurance tests to determine MLSSV with blood lactate ([lac]) measurements. The relationship between MLSSV and 5kmVel in data from Harnish et al. (2001) was also used to calculate predicted MLSSV (km·h-1): [MLSSVp = 0.8809 x 5kmVel + 1.6365]. The HR corresponding to MLSSV (MLSSHR) was estimated by taking 88% of HR5km (maximal- HR) (Swensen et al. 1999). Results: The 5kmVel, 40kmVel, MLSSV and MLSSVp were 50.07±2.03, 45.57±1.97, 45.64±2.0 and 45.77±1.77km·h-1 respectively. No differences were found between 40kmVel, MLSSV and MLSSVp. Neither did [lac] or HR corresponding to MLSSV/40kmVel exhibit differences (4.5±0.6/4.2±0.3mM and 175.1±3.0/176.8±3.1 bpm). The MLSSV was 90.9±0.5% of 5kmVel and MLSSHR was 93.6±0.5% of HR5km. Conclusion: The equation proposed is valid for estimating both MLSSV and 40kmVel on a stationary cyclosimulator.A validade de se estimar a velocidade e a frequência cardíaca (FC) correspondentes ao máximo estado estável de lactato sanguíneo (MEEL), bem como a velocidade e FC que poderiam ser mantidas durante uma prova simulada de 40-km foram estudados em ciclismo estacionário. Métodos: 11 ciclistas (23,9±4,1anos; 178±6,8cm altura; 68,8±5,4kg) realizaram os seguintes testes em ciclo-simulador, utilizando suas próprias bicicletas: 1) Determinação da velocidade média e a FC correspondentes aos testes de 5-km (5kmVel e FC5km) e 40-km (40kmVel e FC40km). 2) 2-3 testes de longa duração com dosagem de lactato sanguíneo [lac] para determinação do MEEL. O MEEL (km·h-1) foi estimado (MEELe) pela relação entre os resultados de MEEL e 5kmVel publicados por Harnish et al. (2001): [VSSMLp = 0,8809 x 5kmVel + 1,6365]. A FC correspondente ao MEEL (FCMEEL) foi estimada considerando 88% da FC5km (FCmáxima) (Swensen et al. 1999). Resultados: A 5kmVel, 40kmVel, MEEL and MEELe foram 50,07±2,03, 45,57±1,97, 45,64±2,0 and 45,77±1,77km·h-1 respectivamente. Não foram encontradas diferenças entre 40kmVel, MEEL e MEELe. A [lac] e a FC correspondentes ao MEEL/40kmVel (4,5±0,6/4,2±0,3mM e 175,1±3,0/176,8±3,1bpm) não foram diferentes entre si. O MEEL ocorreu a 90,9±0,5% de 5kmVel e a FCMEEL a 93,6±0,5% de FC5km. Conclusão: A equação proposta se mostrou válida para estimar tanto o MEEL quanto a velocidade em prova de 40km no ciclismo estacionário.Made available in DSpace on 2016-10-10T03:51:30Z (GMT). No. of bitstreams: 5 Prediction of maximal lactate steady state velocity based on performance in a 5KM.pdf: 435672 bytes, checksum: e40f6a5b5367f3c1a85b5f35cbd08aef (MD5) license_url: 52 bytes, checksum: 3d480ae6c91e310daba2020f8787d6f9 (MD5) license_text: 21716 bytes, checksum: c200d7a52028dd255d79d7c917cc149a (MD5) license_rdf: 23005 bytes, checksum: 845fd6e03839c7264c0c164178b2e173 (MD5) license.txt: 1818 bytes, checksum: 46de3043f08e87659ae535ef74b8ce9d (MD5) Previous issue date: 2007PublicadoTextoAerobic evaluationStationary cyclingIndirect assessmentHeart ratePrediction of maximal lactate steady state velocity based on performance in a 5km cycling testPredição da máxima fase estável de lactato no ciclismo a partir do desempenho em teste de 5kminfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Cineantropometria & Desempenho Humanoinfo:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UCBinstname:Universidade Católica de Brasília (UCB)instacron:UCBORIGINALPrediction of maximal lactate steady state velocity based on performance in a 5KM.pdfapplication/pdf435672https://200.214.135.178:9443/jspui/bitstream/123456789/7441/1/Prediction%20of%20maximal%20lactate%20steady%20state%20velocity%20based%20on%20performance%20in%20a%205KM.pdfe40f6a5b5367f3c1a85b5f35cbd08aefMD51CC-LICENSElicense_urlapplication/octet-stream52https://200.214.135.178:9443/jspui/bitstream/123456789/7441/2/license_url3d480ae6c91e310daba2020f8787d6f9MD52license_textapplication/octet-stream21716https://200.214.135.178:9443/jspui/bitstream/123456789/7441/3/license_textc200d7a52028dd255d79d7c917cc149aMD53license_rdfapplication/octet-stream23005https://200.214.135.178:9443/jspui/bitstream/123456789/7441/4/license_rdf845fd6e03839c7264c0c164178b2e173MD54LICENSElicense.txttext/plain1818https://200.214.135.178:9443/jspui/bitstream/123456789/7441/5/license.txt46de3043f08e87659ae535ef74b8ce9dMD55TEXTPrediction of maximal lactate steady state velocity based on performance in a 5KM.pdf.txtPrediction of maximal lactate steady state velocity based on performance in a 5KM.pdf.txtExtracted texttext/plain33684https://200.214.135.178:9443/jspui/bitstream/123456789/7441/6/Prediction%20of%20maximal%20lactate%20steady%20state%20velocity%20based%20on%20performance%20in%20a%205KM.pdf.txtaf1c05527e386fa05828117655e0f38fMD56123456789/74412017-01-17 15:02:52.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ório de Publicaçõeshttps://repositorio.ucb.br:9443/jspui/ |
dc.title.pt_BR.fl_str_mv |
Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test |
dc.title.alternative.pt_BR.fl_str_mv |
Predição da máxima fase estável de lactato no ciclismo a partir do desempenho em teste de 5km |
title |
Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test |
spellingShingle |
Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test Campbell, Carmen Silvia Grubert Aerobic evaluation Stationary cycling Indirect assessment Heart rate |
title_short |
Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test |
title_full |
Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test |
title_fullStr |
Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test |
title_full_unstemmed |
Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test |
title_sort |
Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test |
author |
Campbell, Carmen Silvia Grubert |
author_facet |
Campbell, Carmen Silvia Grubert Sousa, Wagner Henrique Ferreira, Juciléa Neres Assenço, Florentino Simões, Herbert Gustavo |
author_role |
author |
author2 |
Sousa, Wagner Henrique Ferreira, Juciléa Neres Assenço, Florentino Simões, Herbert Gustavo |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Campbell, Carmen Silvia Grubert Sousa, Wagner Henrique Ferreira, Juciléa Neres Assenço, Florentino Simões, Herbert Gustavo |
dc.subject.por.fl_str_mv |
Aerobic evaluation Stationary cycling Indirect assessment Heart rate |
topic |
Aerobic evaluation Stationary cycling Indirect assessment Heart rate |
dc.description.abstract.por.fl_txt_mv |
Stationary cycling tests were used to analyze the validity of methods for estimating the Maximal Lactate Steady State (MLSS) and the velocity and heart rate (HR) that are sustainable during a 40-km time trial. Methods: 11 cyclists (23.9±4.1 years; 178±6.8 cm tall; 68.8±5.4 kg) performed the following tests on a cyclosimulator, using their own bicycles: 1) Determination of the mean velocity and HR achieved during a 5-km (5kmVel and HR5km) and a 40-km time trial (40kmVel and HR40km). 2) 2-3 endurance tests to determine MLSSV with blood lactate ([lac]) measurements. The relationship between MLSSV and 5kmVel in data from Harnish et al. (2001) was also used to calculate predicted MLSSV (km·h-1): [MLSSVp = 0.8809 x 5kmVel + 1.6365]. The HR corresponding to MLSSV (MLSSHR) was estimated by taking 88% of HR5km (maximal- HR) (Swensen et al. 1999). Results: The 5kmVel, 40kmVel, MLSSV and MLSSVp were 50.07±2.03, 45.57±1.97, 45.64±2.0 and 45.77±1.77km·h-1 respectively. No differences were found between 40kmVel, MLSSV and MLSSVp. Neither did [lac] or HR corresponding to MLSSV/40kmVel exhibit differences (4.5±0.6/4.2±0.3mM and 175.1±3.0/176.8±3.1 bpm). The MLSSV was 90.9±0.5% of 5kmVel and MLSSHR was 93.6±0.5% of HR5km. Conclusion: The equation proposed is valid for estimating both MLSSV and 40kmVel on a stationary cyclosimulator. A validade de se estimar a velocidade e a frequência cardíaca (FC) correspondentes ao máximo estado estável de lactato sanguíneo (MEEL), bem como a velocidade e FC que poderiam ser mantidas durante uma prova simulada de 40-km foram estudados em ciclismo estacionário. Métodos: 11 ciclistas (23,9±4,1anos; 178±6,8cm altura; 68,8±5,4kg) realizaram os seguintes testes em ciclo-simulador, utilizando suas próprias bicicletas: 1) Determinação da velocidade média e a FC correspondentes aos testes de 5-km (5kmVel e FC5km) e 40-km (40kmVel e FC40km). 2) 2-3 testes de longa duração com dosagem de lactato sanguíneo [lac] para determinação do MEEL. O MEEL (km·h-1) foi estimado (MEELe) pela relação entre os resultados de MEEL e 5kmVel publicados por Harnish et al. (2001): [VSSMLp = 0,8809 x 5kmVel + 1,6365]. A FC correspondente ao MEEL (FCMEEL) foi estimada considerando 88% da FC5km (FCmáxima) (Swensen et al. 1999). Resultados: A 5kmVel, 40kmVel, MEEL and MEELe foram 50,07±2,03, 45,57±1,97, 45,64±2,0 and 45,77±1,77km·h-1 respectivamente. Não foram encontradas diferenças entre 40kmVel, MEEL e MEELe. A [lac] e a FC correspondentes ao MEEL/40kmVel (4,5±0,6/4,2±0,3mM e 175,1±3,0/176,8±3,1bpm) não foram diferentes entre si. O MEEL ocorreu a 90,9±0,5% de 5kmVel e a FCMEEL a 93,6±0,5% de FC5km. Conclusão: A equação proposta se mostrou válida para estimar tanto o MEEL quanto a velocidade em prova de 40km no ciclismo estacionário. |
dc.description.status.pt_BR.fl_txt_mv |
Publicado |
description |
Stationary cycling tests were used to analyze the validity of methods for estimating the Maximal Lactate Steady State (MLSS) and the velocity and heart rate (HR) that are sustainable during a 40-km time trial. Methods: 11 cyclists (23.9±4.1 years; 178±6.8 cm tall; 68.8±5.4 kg) performed the following tests on a cyclosimulator, using their own bicycles: 1) Determination of the mean velocity and HR achieved during a 5-km (5kmVel and HR5km) and a 40-km time trial (40kmVel and HR40km). 2) 2-3 endurance tests to determine MLSSV with blood lactate ([lac]) measurements. The relationship between MLSSV and 5kmVel in data from Harnish et al. (2001) was also used to calculate predicted MLSSV (km·h-1): [MLSSVp = 0.8809 x 5kmVel + 1.6365]. The HR corresponding to MLSSV (MLSSHR) was estimated by taking 88% of HR5km (maximal- HR) (Swensen et al. 1999). Results: The 5kmVel, 40kmVel, MLSSV and MLSSVp were 50.07±2.03, 45.57±1.97, 45.64±2.0 and 45.77±1.77km·h-1 respectively. No differences were found between 40kmVel, MLSSV and MLSSVp. Neither did [lac] or HR corresponding to MLSSV/40kmVel exhibit differences (4.5±0.6/4.2±0.3mM and 175.1±3.0/176.8±3.1 bpm). The MLSSV was 90.9±0.5% of 5kmVel and MLSSHR was 93.6±0.5% of HR5km. Conclusion: The equation proposed is valid for estimating both MLSSV and 40kmVel on a stationary cyclosimulator. |
publishDate |
2007 |
dc.date.issued.fl_str_mv |
2007 |
dc.date.accessioned.fl_str_mv |
2016-10-10T03:51:30Z |
dc.date.available.fl_str_mv |
2016-10-10T03:51:30Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
status_str |
publishedVersion |
format |
article |
dc.identifier.citation.fl_str_mv |
CAMPBELL, Carmen Silvia Grubert et al. Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test. Revista Brasileira de Cineantropometria & Desempenho Humano, v. 9, p. 223-230, 2007. |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/123456789/161 https://repositorio.ucb.br:9443/jspui/handle/123456789/7441 |
dc.identifier.issn.none.fl_str_mv |
1415-8426 |
identifier_str_mv |
CAMPBELL, Carmen Silvia Grubert et al. Prediction of maximal lactate steady state velocity based on performance in a 5km cycling test. Revista Brasileira de Cineantropometria & Desempenho Humano, v. 9, p. 223-230, 2007. 1415-8426 |
url |
http://hdl.handle.net/123456789/161 https://repositorio.ucb.br:9443/jspui/handle/123456789/7441 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
Texto |
dc.source.none.fl_str_mv |
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Universidade Católica de Brasília (UCB) |
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UCB |
institution |
UCB |
reponame_str |
Repositório Institucional da UCB |
collection |
Repositório Institucional da UCB |
bitstream.url.fl_str_mv |
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