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Short Trail Running Race: Beyond the Classic Model for Endurance Running Performance
Medicine and Science in Sports and Exercise
|October 28, 2017
Summary
Local muscle endurance and slope-specific running economy are key predictors of short trail running performance, surpassing traditional physiological measures like maximal oxygen uptake.
Area of Science:
- Exercise Physiology
- Sports Science
- Biomechanics
Background:
- Trail running performance is influenced by a complex interplay of physiological and biomechanical factors.
- Traditional endurance running models often focus on maximal oxygen uptake (V̇O2max), ventilatory threshold (VT), and running economy (RE) on level gradients.
- The specific demands of trail running, including varied terrain and gradients, necessitate a deeper investigation into performance determinants.
Purpose of the Study:
- To determine the contribution of classical physiological variables and muscle strength factors to short trail running performance.
- To identify the most significant predictors of trail running race time in highly trained athletes.
- To compare the predictive power of standard laboratory tests versus more specific trail running assessments.
Main Methods:
- Nine highly trained trail runners completed an official trail race and laboratory testing.
- Laboratory sessions assessed V̇O2max, %V̇O2max at VT, running economy on level and +10% slopes, and maximal knee extension torques.
- Local muscle endurance was evaluated using a fatigue index (FI), and regression analyses identified performance predictors.
Main Results:
- Local muscle endurance (FI) and maximal oxygen uptake (V̇O2max) showed the strongest correlations with trail running performance.
- A model incorporating FI and gradient-specific running economy significantly improved performance prediction (R = 0.98) compared to standard physiological variables alone (R = 0.48).
- FI and V̇O2max were the most significant unique and common contributors to the prediction of trail running race time.
Conclusions:
- Classical physiological variables alone are insufficient for accurately predicting short trail running performance.
- Incorporating local muscle endurance and gradient-specific running economy assessments enhances the characterization of trail running capabilities.
- Future research should consider these more specific factors for a comprehensive understanding of trail running performance.
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