Cargando…

Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists

Cross-country mountain biking is an Olympic sport discipline with high popularity among elite and amateur cyclists. However, there is a scarcity of data regarding the key determinants of performance, particularly in young cross-country cyclists. The aim of this study was to examine the physiological...

Descripción completa

Detalles Bibliográficos
Autores principales: Mirizio, Gerardo Gabriel, Muñoz, Rodrigo, Muñoz, Leandro, Ahumada, Facundo, Del Coso, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196776/
https://www.ncbi.nlm.nih.gov/pubmed/34064188
http://dx.doi.org/10.3390/ijerph18115535
_version_ 1783706764708937728
author Mirizio, Gerardo Gabriel
Muñoz, Rodrigo
Muñoz, Leandro
Ahumada, Facundo
Del Coso, Juan
author_facet Mirizio, Gerardo Gabriel
Muñoz, Rodrigo
Muñoz, Leandro
Ahumada, Facundo
Del Coso, Juan
author_sort Mirizio, Gerardo Gabriel
collection PubMed
description Cross-country mountain biking is an Olympic sport discipline with high popularity among elite and amateur cyclists. However, there is a scarcity of data regarding the key determinants of performance, particularly in young cross-country cyclists. The aim of this study was to examine the physiological profile of youth national-level cross-country cyclists and to determine those variables that were able to best predict the performance in an official race. Ten youth cross-country cyclists of a national team underwent a complete evaluation that included anthropometric assessments, laboratory tests to evaluate the wattage at blood lactate thresholds and at maximal oxygen uptake (PO(VO2max)), and field tests to make an in-depth power profile of the athletes. The data obtained in the above-mentioned tests was analysed along with total and partial race times during a competition belonging to the Union Cycliste Internationale (UCI) calendar. In the present study, large and statistically significant correlations (r = −0.67 to −0.95, p ≤ 0.05) were found between maximal and submaximal indices of aerobic fitness and cycling performance, especially when they were normalised to body mass. A multiple regression analysis demonstrated that the wattage at 2 mmol/L, 4 mmol/L and PO(VO2max) were able to explain 82% of the variance in total race time. In summary, the results of this study support the use of maximal and submaximal indices of aerobic power as predictors of performance in youth cross-country cyclists.
format Online
Article
Text
id pubmed-8196776
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81967762021-06-13 Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists Mirizio, Gerardo Gabriel Muñoz, Rodrigo Muñoz, Leandro Ahumada, Facundo Del Coso, Juan Int J Environ Res Public Health Article Cross-country mountain biking is an Olympic sport discipline with high popularity among elite and amateur cyclists. However, there is a scarcity of data regarding the key determinants of performance, particularly in young cross-country cyclists. The aim of this study was to examine the physiological profile of youth national-level cross-country cyclists and to determine those variables that were able to best predict the performance in an official race. Ten youth cross-country cyclists of a national team underwent a complete evaluation that included anthropometric assessments, laboratory tests to evaluate the wattage at blood lactate thresholds and at maximal oxygen uptake (PO(VO2max)), and field tests to make an in-depth power profile of the athletes. The data obtained in the above-mentioned tests was analysed along with total and partial race times during a competition belonging to the Union Cycliste Internationale (UCI) calendar. In the present study, large and statistically significant correlations (r = −0.67 to −0.95, p ≤ 0.05) were found between maximal and submaximal indices of aerobic fitness and cycling performance, especially when they were normalised to body mass. A multiple regression analysis demonstrated that the wattage at 2 mmol/L, 4 mmol/L and PO(VO2max) were able to explain 82% of the variance in total race time. In summary, the results of this study support the use of maximal and submaximal indices of aerobic power as predictors of performance in youth cross-country cyclists. MDPI 2021-05-21 /pmc/articles/PMC8196776/ /pubmed/34064188 http://dx.doi.org/10.3390/ijerph18115535 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mirizio, Gerardo Gabriel
Muñoz, Rodrigo
Muñoz, Leandro
Ahumada, Facundo
Del Coso, Juan
Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists
title Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists
title_full Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists
title_fullStr Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists
title_full_unstemmed Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists
title_short Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists
title_sort race performance prediction from the physiological profile in national level youth cross-country cyclists
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196776/
https://www.ncbi.nlm.nih.gov/pubmed/34064188
http://dx.doi.org/10.3390/ijerph18115535
work_keys_str_mv AT miriziogerardogabriel raceperformancepredictionfromthephysiologicalprofileinnationallevelyouthcrosscountrycyclists
AT munozrodrigo raceperformancepredictionfromthephysiologicalprofileinnationallevelyouthcrosscountrycyclists
AT munozleandro raceperformancepredictionfromthephysiologicalprofileinnationallevelyouthcrosscountrycyclists
AT ahumadafacundo raceperformancepredictionfromthephysiologicalprofileinnationallevelyouthcrosscountrycyclists
AT delcosojuan raceperformancepredictionfromthephysiologicalprofileinnationallevelyouthcrosscountrycyclists