prediction of maximal lactate steady state velocity based on performance in a 5km cycling test

prediction of maximal lactate steady state velocity based on performance in a 5km cycling test

;Florentino Assenço;Juciléa Neres Ferreira;Wagner Henrique Sousa;Carmen Sílvia Grubert Campbell;Herbert Gustavo Simões
journal of proteome research 2007 Vol. 9 pp. 223-230
244
asseno2007revista<b>

Abstract

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.

ABSTRACT 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 75,1±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.

Citation

ID: 186005
Ref Key: asseno2007revista<b>
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
186005
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet