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Power Analysis of Field-Based Bicycle Motor Cross (BMX)

INTRODUCTION: Power meter is a useful tool for monitoring cyclists’ training and race performance. However, limited data are available regarding BMX racing power output. The aim of this study was to characterise the power production of BMX riders and investigate its potential role on race performanc...

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Autores principales: Daneshfar, Amin, Petersen, Carl, Gahreman, Daniel, Knechtle, Beat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360409/
https://www.ncbi.nlm.nih.gov/pubmed/32765128
http://dx.doi.org/10.2147/OAJSM.S256052
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author Daneshfar, Amin
Petersen, Carl
Gahreman, Daniel
Knechtle, Beat
author_facet Daneshfar, Amin
Petersen, Carl
Gahreman, Daniel
Knechtle, Beat
author_sort Daneshfar, Amin
collection PubMed
description INTRODUCTION: Power meter is a useful tool for monitoring cyclists’ training and race performance. However, limited data are available regarding BMX racing power output. The aim of this study was to characterise the power production of BMX riders and investigate its potential role on race performance. METHODS: Fourteen male riders (age: 20.3 ± 1.5 years, height: 1.75 ± 0.05 m, mass: 70.2 ± 6.4 kg) participated in this study. The tests consist of performing two races apart from 15-min recovery. SRM power meter was used to record power and cadence. Cyclists’ fastest race was used for the data analysis. Heart rate was recorded at 1-s intervals using a Garmin HR chest strap. Lap time was recorded using four pairs of photocells positioned at the start gate, bottom of the start ramp, end of first corner (time cornering), and on the finish line. RESULTS: There was a large correlation between race time and relative peak power (r = −0.68, p < 0.01) as well as average power with zero value excluded (r = −0.52, p < 0.01). Race time was also significantly associated with time cornering (r = 0.58, p < 0.01). Peak power (1288.7 ± 62.6 W) was reached in the first 2.34 second of the race. With zero values included, the average power was 355.8 ± 25.4 W, which was about 28% of the peak power, compared to 62% when zero values were excluded (795.6 ± 63.5 W). CONCLUSION: The post-race analysis of the power data might help the cyclists recognizing the need to apply certain strategies on pedalling rates and power production in certain portions of the BMX track, specially, at the start and around the first corner. BMX coaches must consider designing training programs based on the race intensity and power output zones.
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spelling pubmed-73604092020-08-05 Power Analysis of Field-Based Bicycle Motor Cross (BMX) Daneshfar, Amin Petersen, Carl Gahreman, Daniel Knechtle, Beat Open Access J Sports Med Original Research INTRODUCTION: Power meter is a useful tool for monitoring cyclists’ training and race performance. However, limited data are available regarding BMX racing power output. The aim of this study was to characterise the power production of BMX riders and investigate its potential role on race performance. METHODS: Fourteen male riders (age: 20.3 ± 1.5 years, height: 1.75 ± 0.05 m, mass: 70.2 ± 6.4 kg) participated in this study. The tests consist of performing two races apart from 15-min recovery. SRM power meter was used to record power and cadence. Cyclists’ fastest race was used for the data analysis. Heart rate was recorded at 1-s intervals using a Garmin HR chest strap. Lap time was recorded using four pairs of photocells positioned at the start gate, bottom of the start ramp, end of first corner (time cornering), and on the finish line. RESULTS: There was a large correlation between race time and relative peak power (r = −0.68, p < 0.01) as well as average power with zero value excluded (r = −0.52, p < 0.01). Race time was also significantly associated with time cornering (r = 0.58, p < 0.01). Peak power (1288.7 ± 62.6 W) was reached in the first 2.34 second of the race. With zero values included, the average power was 355.8 ± 25.4 W, which was about 28% of the peak power, compared to 62% when zero values were excluded (795.6 ± 63.5 W). CONCLUSION: The post-race analysis of the power data might help the cyclists recognizing the need to apply certain strategies on pedalling rates and power production in certain portions of the BMX track, specially, at the start and around the first corner. BMX coaches must consider designing training programs based on the race intensity and power output zones. Dove 2020-07-10 /pmc/articles/PMC7360409/ /pubmed/32765128 http://dx.doi.org/10.2147/OAJSM.S256052 Text en © 2020 Daneshfar et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Daneshfar, Amin
Petersen, Carl
Gahreman, Daniel
Knechtle, Beat
Power Analysis of Field-Based Bicycle Motor Cross (BMX)
title Power Analysis of Field-Based Bicycle Motor Cross (BMX)
title_full Power Analysis of Field-Based Bicycle Motor Cross (BMX)
title_fullStr Power Analysis of Field-Based Bicycle Motor Cross (BMX)
title_full_unstemmed Power Analysis of Field-Based Bicycle Motor Cross (BMX)
title_short Power Analysis of Field-Based Bicycle Motor Cross (BMX)
title_sort power analysis of field-based bicycle motor cross (bmx)
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360409/
https://www.ncbi.nlm.nih.gov/pubmed/32765128
http://dx.doi.org/10.2147/OAJSM.S256052
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