Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700624 |
Resumo: | Abstract: The mechanism behind exercise-induced fatigue is a significant topic in the field of sports physiology. Therefore, establishing and evaluating an acute exercise-induced fatigue animal model that explores the limits of the motor system may provide greater insight into these mechanisms. Heart rate is an important quantitative parameter that accurately reflects the immediate change in physical function due to exercise load. And there is likely to be an important correlation between heart rate and behavioral performance. In this study, changes in heart rate and behavioral indexes during exercise-induced fatigue were quantitatively analyzed in rats using heart rate telemetry and video methods respectively. The behavioral indexes were used as independent variables and the degree of fatigue was used as the forecast value. Ternary quadratic function curve fitting was used to deduce a formula to calculate a fatigue score: Y = 15.2548+0.4346∙xa-0.1154∙xb+0.6826∙xc+0.0044∙xa∙xb-0.0021∙xb∙xc-0.0013∙xc∙xa-0.0023∙xa2-0.0016∙xb2 (r2=0.906). It identified a linear relationship between heart rate and exercise intensity, with a plateau in heart rate occurring during difference periods. It will serve as an effective reference for the modeling of exercise-induced fatigue. In addition, it also provides a theoretical method for analyzing the correlation between peripheral and central parameters. |
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Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing loadexercise-induced fatigueanimal modeltreadmill runningheart rateAbstract: The mechanism behind exercise-induced fatigue is a significant topic in the field of sports physiology. Therefore, establishing and evaluating an acute exercise-induced fatigue animal model that explores the limits of the motor system may provide greater insight into these mechanisms. Heart rate is an important quantitative parameter that accurately reflects the immediate change in physical function due to exercise load. And there is likely to be an important correlation between heart rate and behavioral performance. In this study, changes in heart rate and behavioral indexes during exercise-induced fatigue were quantitatively analyzed in rats using heart rate telemetry and video methods respectively. The behavioral indexes were used as independent variables and the degree of fatigue was used as the forecast value. Ternary quadratic function curve fitting was used to deduce a formula to calculate a fatigue score: Y = 15.2548+0.4346∙xa-0.1154∙xb+0.6826∙xc+0.0044∙xa∙xb-0.0021∙xb∙xc-0.0013∙xc∙xa-0.0023∙xa2-0.0016∙xb2 (r2=0.906). It identified a linear relationship between heart rate and exercise intensity, with a plateau in heart rate occurring during difference periods. It will serve as an effective reference for the modeling of exercise-induced fatigue. In addition, it also provides a theoretical method for analyzing the correlation between peripheral and central parameters.Academia Brasileira de Ciências2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700624Anais da Academia Brasileira de Ciências v.91 n.4 2019reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201920180957info:eu-repo/semantics/openAccessHOU,LIJUANLI,KEHU,YANRUBIAN,YIJUNJI,WEISHI,KAIXUANLI,YITINGCHEN,MENGJIAOLI,JIAXINLIU,XIAOLIQIAO,DECAIeng2019-12-10T00:00:00Zoai:scielo:S0001-37652019000700624Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2019-12-10T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load |
title |
Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load |
spellingShingle |
Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load HOU,LIJUAN exercise-induced fatigue animal model treadmill running heart rate |
title_short |
Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load |
title_full |
Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load |
title_fullStr |
Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load |
title_full_unstemmed |
Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load |
title_sort |
Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load |
author |
HOU,LIJUAN |
author_facet |
HOU,LIJUAN LI,KE HU,YANRU BIAN,YIJUN JI,WEI SHI,KAIXUAN LI,YITING CHEN,MENGJIAO LI,JIAXIN LIU,XIAOLI QIAO,DECAI |
author_role |
author |
author2 |
LI,KE HU,YANRU BIAN,YIJUN JI,WEI SHI,KAIXUAN LI,YITING CHEN,MENGJIAO LI,JIAXIN LIU,XIAOLI QIAO,DECAI |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
HOU,LIJUAN LI,KE HU,YANRU BIAN,YIJUN JI,WEI SHI,KAIXUAN LI,YITING CHEN,MENGJIAO LI,JIAXIN LIU,XIAOLI QIAO,DECAI |
dc.subject.por.fl_str_mv |
exercise-induced fatigue animal model treadmill running heart rate |
topic |
exercise-induced fatigue animal model treadmill running heart rate |
description |
Abstract: The mechanism behind exercise-induced fatigue is a significant topic in the field of sports physiology. Therefore, establishing and evaluating an acute exercise-induced fatigue animal model that explores the limits of the motor system may provide greater insight into these mechanisms. Heart rate is an important quantitative parameter that accurately reflects the immediate change in physical function due to exercise load. And there is likely to be an important correlation between heart rate and behavioral performance. In this study, changes in heart rate and behavioral indexes during exercise-induced fatigue were quantitatively analyzed in rats using heart rate telemetry and video methods respectively. The behavioral indexes were used as independent variables and the degree of fatigue was used as the forecast value. Ternary quadratic function curve fitting was used to deduce a formula to calculate a fatigue score: Y = 15.2548+0.4346∙xa-0.1154∙xb+0.6826∙xc+0.0044∙xa∙xb-0.0021∙xb∙xc-0.0013∙xc∙xa-0.0023∙xa2-0.0016∙xb2 (r2=0.906). It identified a linear relationship between heart rate and exercise intensity, with a plateau in heart rate occurring during difference periods. It will serve as an effective reference for the modeling of exercise-induced fatigue. In addition, it also provides a theoretical method for analyzing the correlation between peripheral and central parameters. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700624 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700624 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765201920180957 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.91 n.4 2019 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302868124336128 |