Validation of the metabolic power model during three intermittent running-based exercises with emphasis on aerobic and anaerobic energy supply
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Frontiers
Abstract
Introduction: In intermittent sports, available internal load measurements like
capillary blood techniques and portable respiratory gas analyzers are
considered as gold standards in controlled laboratory environments, but are
impractical for daily use in training and matches. A newer approach, the
metabolic power model, allows to extrapolate from speed and acceleration
data to the metabolic power, simulated oxygen uptake, and aerobic and
anaerobic energy supply. The aim of this study was to validate the metabolic
power model against the established 3-component model to allow direct
comparison of variables including energy expenditure and supplies during
intermittent running-based exercises.
Methods: Twelve male athletes (24 ± 3 years) performed three different runningbased
exercises consisting of continuous shuttle runs and repeated
accelerations and sprints with change of direction. Each exercise condition
intended to primarily stress the aerobic, anaerobic alactic, and lactic energy
supply. One-way repeated measures ANOVA or Friedman test and
corresponding effect sizes were applied for statistical analyses. Additionally,
absolute and relative biases and Bland-Altman plots were generated.
Results: For total energy expenditure, there were statistically significant
differences (p ≤ .002, d ≥ .882, large) and biases of −13.5 ± 11.8% for the
continuous shuttle runs and up to 352.2 ± 115.9% for repeated accelerations
and sprints. Concerning aerobic energy supply, there were statistically
significant differences (p < .001, d ≥ 1.937, large effect sizes) and biases of up
to −38.1 ± 11.7%. For anaerobic energy supply, there were statistically
significant differences (p < .001, d ≥ 5.465, large) and biases of up to
1,849.9 ± 831.8%.
Discussion: In conclusion, the metabolic power model significantly under- or
overestimates total energy expenditure and supplies with large effect sizes
during intermittent running-based exercises. Future studies should optimize
the model before it can be used on a daily basis for scientific and
practical purposes.
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