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Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?

The prediction of running performance at different competitive distances is a challenge, since it can be influenced by several physiological, morphological and biomechanical factors. In experienced male runners heterogeneous for maximal oxygen uptake (VO(2)max), endurance running performance can be...

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Detalles Bibliográficos
Autores principales: Denadai, Benedito Sérgio, Greco, Camila Coelho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253837/
https://www.ncbi.nlm.nih.gov/pubmed/35800136
http://dx.doi.org/10.1016/j.crphys.2022.06.006
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author Denadai, Benedito Sérgio
Greco, Camila Coelho
author_facet Denadai, Benedito Sérgio
Greco, Camila Coelho
author_sort Denadai, Benedito Sérgio
collection PubMed
description The prediction of running performance at different competitive distances is a challenge, since it can be influenced by several physiological, morphological and biomechanical factors. In experienced male runners heterogeneous for maximal oxygen uptake (VO(2)max), endurance running performance can be well predicted by several key parameters of aerobic fitness such as VO(2)max and its respective velocity (vVO(2)max), running economy, blood lactate response to exercise, oxygen uptake kinetics and critical velocity. However, for a homogeneous group of well-trained endurance runners, the relationship between aerobic fitness parameters and endurance running performance seems to be influenced by the duration of the race (i.e., middle vs. long). Although middle-distance and ultramarathon runners present high aerobic fitness levels, there is no accumulating evidence showing that the aerobic key parameters influence both 800-m and ultramarathon performance in homogeneous group of well-trained runners. The vVO(2)max seems to be the best predictor of performance for 1500 m. For 3000 m, both vVO(2)max and blood lactate response to exercise are the main predictors of performance. Finally, for long distance events (5000 m, 10,000 m, marathon and ultramarathon), blood lactate response seems to be main predictor of performance. The different limiting/determinants factors and/or training-induced changes in aerobic parameters can help to explain this time- or distance-dependent pattern.
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spelling pubmed-92538372022-07-06 Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters? Denadai, Benedito Sérgio Greco, Camila Coelho Curr Res Physiol Review Article The prediction of running performance at different competitive distances is a challenge, since it can be influenced by several physiological, morphological and biomechanical factors. In experienced male runners heterogeneous for maximal oxygen uptake (VO(2)max), endurance running performance can be well predicted by several key parameters of aerobic fitness such as VO(2)max and its respective velocity (vVO(2)max), running economy, blood lactate response to exercise, oxygen uptake kinetics and critical velocity. However, for a homogeneous group of well-trained endurance runners, the relationship between aerobic fitness parameters and endurance running performance seems to be influenced by the duration of the race (i.e., middle vs. long). Although middle-distance and ultramarathon runners present high aerobic fitness levels, there is no accumulating evidence showing that the aerobic key parameters influence both 800-m and ultramarathon performance in homogeneous group of well-trained runners. The vVO(2)max seems to be the best predictor of performance for 1500 m. For 3000 m, both vVO(2)max and blood lactate response to exercise are the main predictors of performance. Finally, for long distance events (5000 m, 10,000 m, marathon and ultramarathon), blood lactate response seems to be main predictor of performance. The different limiting/determinants factors and/or training-induced changes in aerobic parameters can help to explain this time- or distance-dependent pattern. Elsevier 2022-06-23 /pmc/articles/PMC9253837/ /pubmed/35800136 http://dx.doi.org/10.1016/j.crphys.2022.06.006 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Denadai, Benedito Sérgio
Greco, Camila Coelho
Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
title Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
title_full Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
title_fullStr Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
title_full_unstemmed Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
title_short Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
title_sort could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253837/
https://www.ncbi.nlm.nih.gov/pubmed/35800136
http://dx.doi.org/10.1016/j.crphys.2022.06.006
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