International Journal of Sports Physiology and Performance · 2022 · 39 citations · 27 references
EducationKinesiologyPhysiologyExercise PhysiologyExercise TestingHuman PerformanceAerobic CapacityAerobic FitnessAthletic PerformancePerformance PhysiologyPhysical FitnessRunning BiomechanicsExercise-induced Neuromuscular FatigueMaximal Oxygen Uptake MeasurementMaximal Oxygen Uptake TestingMaximal Voluntary ContractionNeuromuscular Fatigue AssessmentRunning AdaptationsRunning PhysiologySports Performance Testing
PURPOSE: While the physiological determinants of road running have been widely studied, there is a lack of research in trail-running racing performance. The aim of our study was to determine the physiological predictors of trail-running performance in races of different distances in similar terrain and weather conditions. METHODS: Seventy-five trail runners participating in one of the races of the Ultra-Trail du Mont-Blanc were recruited. Previous to the race, each runner was evaluated with (1) an incremental treadmill test to determine maximal oxygen uptake, ventilatory thresholds, cost of running, and substrate utilization; (2) a power-force-velocity profile on a cycle ergometer; (3) maximal voluntary contractions of the knee extensors and plantar flexors; and (4) anthropometric characteristics. Neuromuscular fatigue was evaluated after the races. Twenty-four runners finished a SHORT (<55 km), 16 finished a MEDIUM (101 km), and 14 finished a LONG (>145 km) race. Correlations and multiple linear regressions were used to find the determinants of performance in each race distance. RESULTS: Performance in SHORT was explained by maximal oxygen uptake and lipid utilization at 10 km/h (r2 = .825, P < .001). Performance in MEDIUM was determined by maximal oxygen uptake, maximal isometric strength, and body fat percentage (r2 = .917, P < .001). A linear model could not be applied in LONG, but performance was correlated to peak velocity during the incremental test. CONCLUSIONS: Performance in trail running is mainly predicted by aerobic capacity, while lipid utilization also influences performance in races <60 km and performance in approximately 100 km is influenced by muscle strength and body composition.
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Table of nonprotein respiratory quotient: an update.
François Péronnet, Daniel Massicotte · PubMed · 1991 · 1.2K citations
Neuromuscular Consequences of an Extreme Mountain Ultra-Marathon
Guillaume Y. Millet, Katja Tomažin, Samuel Vergès et al. · PLoS ONE · 2011 · 250 citations · Full text