Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1113/EP090444 http://hdl.handle.net/11449/249566 |
Resumo: | New Findings: What is the central question of this study? What are the physiological mechanisms underlying muscle fatigue and the increase in the O2 cost per unit of work during high-intensity exercise? What is the main finding and its importance? Muscle fatigue happens before, and does not explain, the (Formula presented.) slow component ((Formula presented.)), but they share the same origin. Muscle activation heterogeneity is associated with muscle fatigue and (Formula presented.). Knowing this may improve training prescriptions for healthy people leading to improved public health outcomes. Abstract: This study aimed to explain the (Formula presented.) slow component ((Formula presented.)) and muscle fatigue during cycling at different intensities. The muscle fatigue of 16 participants was determined through maximal isokinetic effort lasting 3 s during constant work rate bouts of moderate (MOD), heavy (HVY) and very heavy intensity (VHI) exercise. Breath-by-breath (Formula presented.), near-infrared spectroscopy signals and EMG activity were analysed (thigh muscles). (Formula presented.) was higher during VHI exercise (∼70% vs. ∼28% of (Formula presented.) reserve in HVY). The deoxygenated haemoglobin final value during VHI exercise was higher than during HVY and MOD exercise (∼90% of HHb physiological normalization, vs. ∼82% HVY and ∼45% MOD). The muscle fatigue was greater after VHI exercise (∼22% vs. HVY ∼5%). There was no muscle fatigue after MOD exercise. The greatest magnitude of muscle fatigue occurred within 2 min (VHI ∼17%; HVY ∼9%), after which it stabilized. No significant relationship between (Formula presented.) and muscle force production was observed. The τ of muscle (Formula presented.) was significantly related (R2 = 0.47) with torque decrease for VHI. Type I and II muscle fibre recruitment mainly in the rectus femoris moderately explained the muscle fatigue (R2 = 0.30 and 0.31, respectively) and the (Formula presented.) (R2 = 0.39 and 0.27, respectively). The (Formula presented.) is also partially explained by blood lactate accumulation (R2 = 0.42). In conclusion muscle fatigue and O2 cost seem to share the same physiological cause linked with a decrease in the muscle (Formula presented.) and a change in lactate accumulation. Muscle fatigue and (Formula presented.) are associated with muscle activation heterogeneity and metabolism of different muscles activated during cycling. |
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Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensitiesefficiencymuscle fatigueoxidative metabolismoxygen extractionoxygen uptake slow componentNew Findings: What is the central question of this study? What are the physiological mechanisms underlying muscle fatigue and the increase in the O2 cost per unit of work during high-intensity exercise? What is the main finding and its importance? Muscle fatigue happens before, and does not explain, the (Formula presented.) slow component ((Formula presented.)), but they share the same origin. Muscle activation heterogeneity is associated with muscle fatigue and (Formula presented.). Knowing this may improve training prescriptions for healthy people leading to improved public health outcomes. Abstract: This study aimed to explain the (Formula presented.) slow component ((Formula presented.)) and muscle fatigue during cycling at different intensities. The muscle fatigue of 16 participants was determined through maximal isokinetic effort lasting 3 s during constant work rate bouts of moderate (MOD), heavy (HVY) and very heavy intensity (VHI) exercise. Breath-by-breath (Formula presented.), near-infrared spectroscopy signals and EMG activity were analysed (thigh muscles). (Formula presented.) was higher during VHI exercise (∼70% vs. ∼28% of (Formula presented.) reserve in HVY). The deoxygenated haemoglobin final value during VHI exercise was higher than during HVY and MOD exercise (∼90% of HHb physiological normalization, vs. ∼82% HVY and ∼45% MOD). The muscle fatigue was greater after VHI exercise (∼22% vs. HVY ∼5%). There was no muscle fatigue after MOD exercise. The greatest magnitude of muscle fatigue occurred within 2 min (VHI ∼17%; HVY ∼9%), after which it stabilized. No significant relationship between (Formula presented.) and muscle force production was observed. The τ of muscle (Formula presented.) was significantly related (R2 = 0.47) with torque decrease for VHI. Type I and II muscle fibre recruitment mainly in the rectus femoris moderately explained the muscle fatigue (R2 = 0.30 and 0.31, respectively) and the (Formula presented.) (R2 = 0.39 and 0.27, respectively). The (Formula presented.) is also partially explained by blood lactate accumulation (R2 = 0.42). In conclusion muscle fatigue and O2 cost seem to share the same physiological cause linked with a decrease in the muscle (Formula presented.) and a change in lactate accumulation. Muscle fatigue and (Formula presented.) are associated with muscle activation heterogeneity and metabolism of different muscles activated during cycling.Physical effort Laboratory Sports Centre Federal University of Santa CatarinaLeonardo da Vinci University – Uniasselvi/VITRU EducationHuman Performance Laboratory São Paulo State UniversityHuman Performance Laboratory São Paulo State UniversityUniversidade Federal de Santa Catarina (UFSC)Leonardo da Vinci University – Uniasselvi/VITRU EducationUniversidade Estadual Paulista (UNESP)do Nascimento Salvador, Paulo CesarNascimento, Eduardo Marcel FernandesAntunes, DiegoGuglielmo, Luiz Guilherme AntonacciDenadai, Benedito Sérgio [UNESP]2023-07-29T16:03:14Z2023-07-29T16:03:14Z2023-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article503-517http://dx.doi.org/10.1113/EP090444Experimental Physiology, v. 108, n. 3, p. 503-517, 2023.1469-445X0958-0670http://hdl.handle.net/11449/24956610.1113/EP0904442-s2.0-85146470350Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengExperimental Physiologyinfo:eu-repo/semantics/openAccess2023-07-29T16:03:14Zoai:repositorio.unesp.br:11449/249566Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-05-23T11:30:08.435936Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities |
title |
Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities |
spellingShingle |
Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities do Nascimento Salvador, Paulo Cesar efficiency muscle fatigue oxidative metabolism oxygen extraction oxygen uptake slow component |
title_short |
Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities |
title_full |
Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities |
title_fullStr |
Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities |
title_full_unstemmed |
Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities |
title_sort |
Energy metabolism and muscle activation heterogeneity explain (Formula presented.) slow component and muscle fatigue of cycling at different intensities |
author |
do Nascimento Salvador, Paulo Cesar |
author_facet |
do Nascimento Salvador, Paulo Cesar Nascimento, Eduardo Marcel Fernandes Antunes, Diego Guglielmo, Luiz Guilherme Antonacci Denadai, Benedito Sérgio [UNESP] |
author_role |
author |
author2 |
Nascimento, Eduardo Marcel Fernandes Antunes, Diego Guglielmo, Luiz Guilherme Antonacci Denadai, Benedito Sérgio [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Santa Catarina (UFSC) Leonardo da Vinci University – Uniasselvi/VITRU Education Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
do Nascimento Salvador, Paulo Cesar Nascimento, Eduardo Marcel Fernandes Antunes, Diego Guglielmo, Luiz Guilherme Antonacci Denadai, Benedito Sérgio [UNESP] |
dc.subject.por.fl_str_mv |
efficiency muscle fatigue oxidative metabolism oxygen extraction oxygen uptake slow component |
topic |
efficiency muscle fatigue oxidative metabolism oxygen extraction oxygen uptake slow component |
description |
New Findings: What is the central question of this study? What are the physiological mechanisms underlying muscle fatigue and the increase in the O2 cost per unit of work during high-intensity exercise? What is the main finding and its importance? Muscle fatigue happens before, and does not explain, the (Formula presented.) slow component ((Formula presented.)), but they share the same origin. Muscle activation heterogeneity is associated with muscle fatigue and (Formula presented.). Knowing this may improve training prescriptions for healthy people leading to improved public health outcomes. Abstract: This study aimed to explain the (Formula presented.) slow component ((Formula presented.)) and muscle fatigue during cycling at different intensities. The muscle fatigue of 16 participants was determined through maximal isokinetic effort lasting 3 s during constant work rate bouts of moderate (MOD), heavy (HVY) and very heavy intensity (VHI) exercise. Breath-by-breath (Formula presented.), near-infrared spectroscopy signals and EMG activity were analysed (thigh muscles). (Formula presented.) was higher during VHI exercise (∼70% vs. ∼28% of (Formula presented.) reserve in HVY). The deoxygenated haemoglobin final value during VHI exercise was higher than during HVY and MOD exercise (∼90% of HHb physiological normalization, vs. ∼82% HVY and ∼45% MOD). The muscle fatigue was greater after VHI exercise (∼22% vs. HVY ∼5%). There was no muscle fatigue after MOD exercise. The greatest magnitude of muscle fatigue occurred within 2 min (VHI ∼17%; HVY ∼9%), after which it stabilized. No significant relationship between (Formula presented.) and muscle force production was observed. The τ of muscle (Formula presented.) was significantly related (R2 = 0.47) with torque decrease for VHI. Type I and II muscle fibre recruitment mainly in the rectus femoris moderately explained the muscle fatigue (R2 = 0.30 and 0.31, respectively) and the (Formula presented.) (R2 = 0.39 and 0.27, respectively). The (Formula presented.) is also partially explained by blood lactate accumulation (R2 = 0.42). In conclusion muscle fatigue and O2 cost seem to share the same physiological cause linked with a decrease in the muscle (Formula presented.) and a change in lactate accumulation. Muscle fatigue and (Formula presented.) are associated with muscle activation heterogeneity and metabolism of different muscles activated during cycling. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T16:03:14Z 2023-07-29T16:03:14Z 2023-03-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1113/EP090444 Experimental Physiology, v. 108, n. 3, p. 503-517, 2023. 1469-445X 0958-0670 http://hdl.handle.net/11449/249566 10.1113/EP090444 2-s2.0-85146470350 |
url |
http://dx.doi.org/10.1113/EP090444 http://hdl.handle.net/11449/249566 |
identifier_str_mv |
Experimental Physiology, v. 108, n. 3, p. 503-517, 2023. 1469-445X 0958-0670 10.1113/EP090444 2-s2.0-85146470350 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Experimental Physiology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
503-517 |
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 |
|
_version_ |
1803045833771319296 |