Submaximal force–velocity relationships during mountain ultramarathon: Data from the field

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<sub>1</sub>: propulsive force at 1 m · s<sup>-1</sup>; V<sub>0</sub>: 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<sub>1</sub> = 1.80 ± 0.33 N · kg<sup>-1</sup>, V<sub>0</sub> = 2.36 ± 0.42 m · s<sup>-1</sup>, 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<sub>1</sub>, V<sub>0</sub>, 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.

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Publication Details

Journal
Journal of Sports Sciences
Published
2024-10-13
DOI
https://doi.org/10.1080/02640414.2024.2413715
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.48

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article

Submaximal force–velocity relationships during mountain ultramarathon: Data from the field

Clément Delhaye, Hervé Di Domenico, Mylène Vonderscher, Baptiste Morel et al.
1 citations
Journal of Sports Sciences
Sports Performance and Training
0.48
article

Submaximal force–velocity relationships during mountain ultramarathon: Data from the field

Clément Delhaye, Hervé Di Domenico, Mylène Vonderscher, Baptiste Morel, Jean-Benoı̂t Morin, Pierre Samozino, Maximilien Bowen, Guillaume Y. Millet, Pablo Rozier-Delgado
article en
1 citations

Abstract

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<sub>1</sub>: propulsive force at 1 m · s<sup>-1</sup>; V<sub>0</sub>: 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<sub>1</sub> = 1.80 ± 0.33 N · kg<sup>-1</sup>, V<sub>0</sub> = 2.36 ± 0.42 m · s<sup>-1</sup>, 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<sub>1</sub>, V<sub>0</sub>, 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.

Journal of Sports SciencesVol. 42(20)
Université Claude Bernard Lyon 1 (FR), Université Savoie Mont Blanc (FR)
Agence Nationale de la Recherche
Climate action
Openalex Percentile: Top 36%
Sports Performance and Training
0.48
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