Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/35249

Predicting BMX Performance with Laboratory Measurements in Elite Riders


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Title:
Predicting BMX Performance with Laboratory Measurements in Elite Riders
Authors:
MOYA-RAMÓN, MANUEL  
Haakonssen, Eric  
Peña González, Iván
Mateo March, Manuel
Javaloyes Torres, Alejandro
Editor:
Taylor and Francis Group
Department:
Departamentos de la UMH::Ciencias del Deporte
Issue Date:
2022-12-27
URI:
https://hdl.handle.net/11000/35249
Abstract:
In Bicycle Motocross (BMX) performance is determined by the riders’ sprint ability and power output. Therefore, descriptive and predictive performance assessments through laboratory and field tests are of interest. Twelve members of the Spanish BMX National Team performed 4 laboratory tests, including 1RM in squat, a Wingate test, a 5x6-s repeated sprint test (RST) and a force-velocity profile test. These tests were compared with the riders’ field performance using the best lap of a simulated BMX competition consisting of 6 all-out laps on a standard BMX track. Pearson’s correlation and linear regression analysis showed a significant association (p < 0.05) between the riders’ field performance and the 1RM (r = 0.84; R2 = 0.65), the peak power output in the RST (r = 0.87; R2 = 0.78) and the peak power, the mean power and the lactate production in the Wingate test (r = 0.68–0.77; R2 = 0.14–0.65), as well as maximal power from the force-velocity profile (r = 0.71; R2 = 0.53). The laboratory tests included in this study can show information about BMX riders’ performance, with the highest values for the peak power obtained in the repeated sprint test (78% of the variance in common).
Keywords/Subjects:
cycling
testing
peak power
repeated sprint ability
Knowledge area:
CDU: Bellas artes: Diversiones. Espectáculos. Cine. Teatro. Danza. Juegos.Deportes
Type of document:
info:eu-repo/semantics/article
Access rights:
info:eu-repo/semantics/closedAccess
DOI:
https://doi.org/10.1080/02640414.2022.2162755
Appears in Collections:
Artículos Ciencias del Deporte



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