Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
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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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 |
_version_ |
1834483517564649472 |