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

Detalhes bibliográficos
Autor(a) principal: Denadai, Benedito Sérgio [UNESP]
Data de Publicação: 2022
Outros Autores: Greco, Camila Coelho [UNESP]
Tipo de documento: Outros
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.crphys.2022.06.006
http://hdl.handle.net/11449/249537
Resumo: 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 (VO2max), endurance running performance can be well predicted by several key parameters of aerobic fitness such as VO2max and its respective velocity (vVO2max), 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 vVO2max seems to be the best predictor of performance for 1500 m. For 3000 m, both vVO2max 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 Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?Aerobic exerciseLactate thresholdMaximal oxygen uptakeRunning economyThe 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 (VO2max), endurance running performance can be well predicted by several key parameters of aerobic fitness such as VO2max and its respective velocity (vVO2max), 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 vVO2max seems to be the best predictor of performance for 1500 m. For 3000 m, both vVO2max 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.Human Performance Laboratory Paulista State University, SPHuman Performance Laboratory Paulista State University, SPUniversidade Estadual Paulista (UNESP)Denadai, Benedito Sérgio [UNESP]Greco, Camila Coelho [UNESP]2023-07-29T16:02:27Z2023-07-29T16:02:27Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/other265-269http://dx.doi.org/10.1016/j.crphys.2022.06.006Current Research in Physiology, v. 5, p. 265-269.2665-9441http://hdl.handle.net/11449/24953710.1016/j.crphys.2022.06.0062-s2.0-85145808213Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCurrent Research in Physiologyinfo:eu-repo/semantics/openAccess2024-10-21T14:31:29Zoai:repositorio.unesp.br:11449/249537Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-10-21T14:31:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv 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?
spellingShingle Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
Denadai, Benedito Sérgio [UNESP]
Aerobic exercise
Lactate threshold
Maximal oxygen uptake
Running economy
title_short 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_sort Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
author Denadai, Benedito Sérgio [UNESP]
author_facet Denadai, Benedito Sérgio [UNESP]
Greco, Camila Coelho [UNESP]
author_role author
author2 Greco, Camila Coelho [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Denadai, Benedito Sérgio [UNESP]
Greco, Camila Coelho [UNESP]
dc.subject.por.fl_str_mv Aerobic exercise
Lactate threshold
Maximal oxygen uptake
Running economy
topic Aerobic exercise
Lactate threshold
Maximal oxygen uptake
Running economy
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 (VO2max), endurance running performance can be well predicted by several key parameters of aerobic fitness such as VO2max and its respective velocity (vVO2max), 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 vVO2max seems to be the best predictor of performance for 1500 m. For 3000 m, both vVO2max 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T16:02:27Z
2023-07-29T16:02:27Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/other
format other
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.crphys.2022.06.006
Current Research in Physiology, v. 5, p. 265-269.
2665-9441
http://hdl.handle.net/11449/249537
10.1016/j.crphys.2022.06.006
2-s2.0-85145808213
url http://dx.doi.org/10.1016/j.crphys.2022.06.006
http://hdl.handle.net/11449/249537
identifier_str_mv Current Research in Physiology, v. 5, p. 265-269.
2665-9441
10.1016/j.crphys.2022.06.006
2-s2.0-85145808213
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Current Research in Physiology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 265-269
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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