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Clustering classification of cyclists according to the acute fatigue outcomes produced by an ultra-endurance event

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Clustering classification of cyclists according to the acute fatigue outcomes produced by an ultra-endurance event

dc.contributor.author	Sánchez Jiménez, José Luis
dc.contributor.author	Gandía Soriano, Alexis
dc.contributor.author	Pérez Soriano, Pedro
dc.contributor.author	Priego Quesada, José Ignacio
dc.contributor.author	Encarnación Martínez, Alberto
dc.date.accessioned	2023-09-01T10:05:25Z
dc.date.available	2023-09-01T10:05:25Z
dc.date.issued	2023
dc.identifier.citation	Sánchez Jiménez, José Luis Gandía Soriano, Alexis Pérez Soriano, Pedro Priego Quesada, José Ignacio Encarnación Martínez, Alberto 2023 Clustering classification of cyclists according to the acute fatigue outcomes produced by an ultra-endurance event European Journal of Human Movement 50 31 44
dc.identifier.uri	https://hdl.handle.net/10550/89053
dc.description.abstract	This study aimed to analyze the differences between clusters obtained by the acute effect of fatigue after an ultra-endurance event in the internal and external load of cyclists. 26 volunteers participated in the study, and they were divided into the experimental group (N = 18; height: 177 ± 8 cm; body mass: 78.6 ± 10.3 kg) and the control group (N = 8; height: 176 ± 10 cm; body mass: 78.0 ± 15.7 kg). The experimental group completed a 12 h non-stop cycling event. Jump height, lactate, plasma antioxidant capacity, pain perception and fatigue perception were measured before and after the event. Cyclists of the experimental group were classified considering their training characteristics (recreational vs. competitive) and by conducting a non-supervised K-means clustering. The differentiation of cyclists according to training characteristics resulted in a lower distance covered by recreational than competitive cyclists (279.4 ± 39.7 km vs. 371.0 ± 71.7 km; ES ≥ 0.8; p < 0.01), although no differences were observed in the remaining variables between groups (p > 0.05). The clustering analysis provided two clusters. Cluster 2 suffered a greater jump height reduction (-3.3 ± 1.6 vs. 1.2 ± 0.8; ES ≥ 0.8; p < 0.001) and increased pain and fatigue perception (ES ≥ 0.5; p < 0.05) after the race than Cluster 1. In conclusion, counter-movement jump can differentiate the fatigue produced by a cycling ultra-endurance event and therefore, this non-invasive technique is useful in fatigue monitoring and recovery planification.
dc.language.iso	eng
dc.relation.ispartof	European Journal of Human Movement, 2023, vol. 50, p. 31-44
dc.subject	Fatiga
dc.title	Clustering classification of cyclists according to the acute fatigue outcomes produced by an ultra-endurance event
dc.type	journal article
dc.date.updated	2023-09-01T10:05:26Z
dc.identifier.doi	10.21134/eurjhm.2023.50.4
dc.identifier.idgrec	160992
dc.rights.accessRights	open access