1. Short Trail Running Race
- Author
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Jean-Benoit Morin, Fabrice Vercruyssen, Marcus Peikriszwili Tartaruga, Christopher S. Easthope, Jeanick Brisswalter, Sabine Ehrström, Laboratory of Human Motricity, Education Sport and Health, Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM), Université de Toulon (UTLN), University of Zurich, and Ehrström, Sabine
- Subjects
Adult ,Male ,medicine.medical_specialty ,Physical Therapy ,[SDV]Life Sciences [q-bio] ,610 Medicine & health ,Physical Therapy, Sports Therapy and Rehabilitation ,Sports Therapy and Rehabilitation ,Athletic Performance ,Running ,03 medical and health sciences ,Oxygen Consumption ,2732 Orthopedics and Sports Medicine ,0302 clinical medicine ,Physical medicine and rehabilitation ,Humans ,Medicine ,Orthopedics and Sports Medicine ,Muscle Strength ,3612 Physical Therapy, Sports Therapy and Rehabilitation ,Fatigue ,business.industry ,VO2 max ,030229 sport sciences ,Middle Aged ,Exercise Test ,Physical Endurance ,Running economy ,Muscle strength ,10046 Balgrist University Hospital, Swiss Spinal Cord Injury Center ,Ventilatory threshold ,business ,030217 neurology & neurosurgery - Abstract
International audience; PURPOSE:This study aimed to examine the extent to which the classical physiological variables of endurance running performance (maximal oxygen uptake (V˙O2max), %V˙O2max at ventilatory threshold (VT), and running economy (RE)) but also muscle strength factors contribute to short trail running (TR) performance.METHODS:A homogeneous group of nine highly trained trail runners performed an official TR race (27 km) and laboratory-based sessions to determine V˙O2max, %V˙O2max at VT, level RE (RE0%) and RE on a +10% slope, maximal voluntary concentric and eccentric knee extension torques, local endurance assessed by a fatigue index (FI), and a time to exhaustion at 87.5% of the velocity associated with V˙O2max. A simple regression method and commonality analysis identifying unique and common coefficients of each independent variable were used to determine the best predictors for the TR race time (dependent variable).RESULTS:Pearson correlations showed that FI and V˙O2max had the highest correlations (r = 0.91 and r = -0.76, respectively) with TR performance. The other selected variables were not significantly correlated with TR performance. The analysis of unique and common coefficients of relative V˙O2max, %V˙O2max at VT, and RE0% provides a low prediction of TR performance (R = 0.48). However, adding FI and RE on a +10% slope (instead of RE0%) markedly improved the predictive power of the model (R = 0.98). FI and V˙O2max showed the highest unique (49.8% and 20.4% of total effect, respectively) and common (26.9% of total effect) contributions to the regression equation.CONCLUSIONS:The classic endurance running model does not allow for meaningful prediction of short TR performance. Incorporating more specific factors into TR such as local endurance and gradient-specific RE testing procedures should be considered to better characterize short TR performance.
- Published
- 2018
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