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Published on: January 28, 2020
Lactate accumulation in response to supramaximal exercise in rowers
H Maciejewski1, M Bourdin, J-R Lacour
1University of Lyon, University Lyon 1, IFSTTAR, LBMC UMR_T 9406, Oullins, France; French Rowing Federation (FFSA), Nogent-sur-Marne, France.
Peak blood lactate concentration is unreliable for estimating energy supply during intense exercise. New methods using lactate accumulation and recovery curves show strong correlations with energy expenditure, offering better insights into nonoxidative energy pathways.
Area of Science:
- Exercise Physiology
- Sports Science
- Biochemistry
Background:
- Accurate assessment of energy supply during supramaximal exercise is crucial for performance analysis.
- The nonoxidative energy pathway's contribution is significant but challenging to quantify.
- Existing methods for estimating lactate accumulation have limitations.
Purpose of the Study:
- To evaluate three distinct methods for quantifying accumulated lactate (QLA) post-supramaximal exercise.
- To determine the correlation between QLA estimates and the accumulated oxygen deficit (AOD), a measure of nonoxidative energy supply.
- To validate the reliability of different QLA estimation techniques.
Main Methods:
- Nine athletes completed a 3-minute all-out rowing ergometer test.
- Accumulated Oxygen Deficit (AOD) was calculated.
- Lactate accumulation was estimated using three methods: Margaria's method (QLA(m1)), and two bicompartmental model-based methods (QLA(m2), QLA(m3)) applied to blood lactate recovery curves.
Main Results:
- Peak blood lactate concentration ((La)peak) showed no significant correlation with AOD.
- All three lactate accumulation methods (QLA(m1), QLA(m2), QLA(m3)) correlated with AOD.
- QLA(m2) (r=0.85) and QLA(m3) (r=0.92) demonstrated strong correlations with AOD, indicating their reliability.
Conclusions:
- Peak blood lactate concentration is an inadequate indicator of nonoxidative energy supply during supramaximal efforts.
- Blood lactate recovery curve analysis, particularly using bicompartmental models, provides a reliable method for estimating lactate accumulation.
- These findings support the use of lactate kinetics to quantify the nonoxidative energy contribution during high-intensity exercise.
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