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Crossover and maximal fat-oxidation points in sedentary healthy subjects: methodological issues
N Gmada1, H Marzouki, M Haboubi
1Research Unit "Sportive practices in School and University and performance", Higher Institute of Sport and Physical Education of Kef, University of Jendouba, Jendouba, Tunisia.
The testing protocol significantly impacts fat oxidation measurements in sedentary men. Using measured maximal aerobic power (MAP) provides more accurate crossover point and maximal fat oxidation (LIPOX(max)) values than theoretical MAP (tMAP).
Area of Science:
- Exercise Physiology
- Metabolic Research
Background:
- Accurate assessment of fuel utilization during exercise is crucial for understanding metabolic adaptations.
- Sedentary individuals present unique challenges in determining exercise physiology parameters due to lower baseline fitness levels.
Purpose of the Study:
- To investigate how different exercise testing protocols influence the crossover point and maximal fat oxidation (LIPOX(max)) in sedentary young men.
- To compare the reliability of using measured maximal aerobic power (MAP) versus theoretical maximal aerobic power (tMAP) for these assessments.
Main Methods:
- Twenty-three sedentary males underwent maximal oxygen intake assessment.
- Twelve participants with maximal aerobic power (MAP) lower than theoretical MAP (tMAP) performed three submaximal graded exercise tests.
- Measurements included heart rate, respiratory parameters, blood lactate, crossover point, and LIPOX(max).
Main Results:
- The crossover point and LIPOX(max) were significantly lower when protocols were based on tMAP compared to MAP (P<0.001).
- Respiratory exchange ratios were lower with MAP at various percentages of maximal aerobic power (P<0.01).
- Lactate and 5-min postexercise oxygen consumption (EPOC(5 min)) were higher at the crossover point using tMAP (P<0.001).
Conclusions:
- Exercise testing protocols for assessing crossover point and LIPOX(max) in sedentary individuals should be based on measured MAP, not theoretical values, for research accuracy.
- This approach can enhance the individualization of training programs for sedentary populations.
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