RESUMOO objetivo do presente estudo foi revisar os fatores bioenergéticos que contribuem para as mudanças das concentrações de lactato e glicose sanguínea e sua importância na determinação do LAn, assim como abordar as diferentes metodologias de determinação do LAn. Foi feito levantamento bibliográfico na internet utilizando-se como palavras-chave os termos anaerobic threshold, lactate threshold, glucose threshold e seus correspondentes em língua portuguesa. Atualmente diversas metodologias, como o limiar anaeróbio individual (IAT) e o lactato mínimo, tentam estimar a máxima fase estável de lactato (MFEL). Na busca por parâmetros fisiológicos confiáveis, alguns pesquisadores têm investido seu tempo no estudo da glicemia sanguínea para determinação do LAn, sendo esta metodologia conhecida como limiar glicêmico (LGli). A utilização e determinação do LAn enfrenta problemas relacionados ao grande número de termos, definições e referências empregados pelos pesquisadores. As discussões acerca destas metodologias e as causas da ocorrência do LAn estão longe de terminar, sendo necessárias novas pesquisas para estabelecer em definitivo qual das metodologias realmente reflete a MFEL com menor dispêndio de tempo e de recursos financeiros, assim como seus pressupostos teóricos.Palavras-chave: Fisiologia do exercício. Bioenergética. Limiar anaeróbio. Limiar glicêmico. *
The aim of this study was to compare the velocities found in the protocols used to measure the indirect individual anaerobic threshold (IAT ind ), 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 IAT ind 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 10 th and 30 th minute. A significant difference was observed between mean CV and MLSS (P≤0.05) and there was a high correlation between MLSS and IAT ind (R 2 =0.82; P≤0.01) and between MLSS and GT (R 2 =0.72; P≤0.01). The Bland-Altman method showed agreement between MLSS and IAT ind [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 IAT ind 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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