| Autor: |
Delhaye C; Inter-University Laboratory of Human Movement Sciences, University Savoie Mont Blanc, Chambéry, EA, France., Rozier-Delgado P; Inter-University Laboratory of Human Movement Sciences, University Savoie Mont Blanc, Chambéry, EA, France., Vonderscher M; Inter-University Laboratory of Human Movement Sciences, University Savoie Mont Blanc, Chambéry, EA, France., Di Domenico H; Inter-University Laboratory of Human Movement Sciences, University Savoie Mont Blanc, Chambéry, EA, France., Bowen M; Inter-University Laboratory of Human Movement Sciences, University Savoie Mont Blanc, Chambéry, EA, France., Millet G; Inter-university Laboratory of Human Movement Sciences, University Lyon, UJM-Saint-Etienne, Saint-Étienne, EA, France., Morin JB; Inter-university Laboratory of Human Movement Sciences, University Lyon, UJM-Saint-Etienne, Saint-Étienne, EA, France., Samozino P; Inter-University Laboratory of Human Movement Sciences, University Savoie Mont Blanc, Chambéry, EA, France., Morel B; Inter-University Laboratory of Human Movement Sciences, University Savoie Mont Blanc, Chambéry, EA, France. |
| Abstrakt: |
This study presents a novel method for evaluating the submaximal velocity-force (V(F)) relationship in mountain ultramarathon races using crowdsourced data from Strava.com. The dataset includes positional data from 408 participants of the 171-km UTMB® 2023 race (9,850-m D+). The race was divided into 100-m segments. The mean net propulsive force and velocity were computed for each segment to describe the submaximal V(F) relationship as a rational function of three parameters. F 1 : propulsive force at 1 m · s -1 ; V 0 : theoretical maximum velocity on flat terrain; C: curvature parameter (the lower C, the more linear the V(F) relationship). The V(F) profile parameters were found to be F 1 = 1.80 ± 0.33 N · kg -1 , V 0 = 2.36 ± 0.42 m · s -1 , and C = 0.66 ± 1.81, with good independence between the parameters within a group of homogeneous performance. The best athletes had the highest F 1 , V 0 , and C values. V(F) parameters were affected by fatigue during the race, with decreases of 20.9%, 32.0%, and 59.8% between the first and second parts of the race respectively. These findings suggest that the V(F) relationship is an interesting original approach for studying performance and fatigability during mountain ultra-endurance races. |
