Cardiorespiratory fitness level influences the ventilatory threshold identification
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Physical Education (Maringá) |
Texto Completo: | https://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/57063 |
Resumo: | We aimed to analyze the influence of cardiorespiratory fitness (CRF) on ventilatory threshold identification (VT1) using the Ventilatory Equivalents (VEq) and V-slope methods. Twenty-two male runners (32.9 ± 9.4 years) were divided into two groups: G1 - group with less cardiorespiratory fitness (CRF: VO2max 40 to 51 ml·kg-1·min-1) and G2 - higher CRF (G1; VO2max £56,4 to 72 ml·kg-1·min-1) divided by the 50th percentile. An incremental cardiopulmonary exercise test was applied to identify VT1 using VEq and V-slope methods to compare heart rate (HR), oxygen consumption (VO2), and speed. Two-way ANOVA was used to compare HR, VO2, and speed (groups vs. methods). The Effect size was calculated using Cohen’s d. The intraclass correlation coefficient, variation coefficient, typical error, and Bland Altman were applied to verify reliability and agreement. No significant differences (p < 0.05) were found between methods for G1 (VO2, HR, and speed), and Bland Altman showed good agreement (mean difference: VO2 0.35ml·kg-1·min-1; HR 2.58bpm; speed 0.33km·h-1). However, G2 presented statistical differences between methods (VO2 and speed) and a more significant mean difference (VO2 2.68ml·kg-1·min-1; HR 6.87 bpm; speed 0.88km·h-1). The small effect size was found in G1 between methods (VO2: 0.06; speed: 0.20; HR: 0.14), and small and moderate effects were found in G2 between methods (VO2: 0.39; speed: 0.43; HR: 0.51). In conclusion, runners with lower CRF have a better agreement for the V-slope and VEq methods than those with a higher CRF. |
id |
UEM-9_a3ec7adf7c7c27825dc47d3058b1a701 |
---|---|
oai_identifier_str |
oai:periodicos.uem.br/ojs:article/57063 |
network_acronym_str |
UEM-9 |
network_name_str |
Journal of Physical Education (Maringá) |
repository_id_str |
|
spelling |
Cardiorespiratory fitness level influences the ventilatory threshold identification Nível de aptidão cardiorrespiratória influencia a identificação do limiar ventilatórioAnaerobic ThresholdPhysical FitnessOxygen ConsumptionSports PerformanceLimiar AnaeróbicoAptidão FísicaConsumo de OxigênioRendimento EsportivoWe aimed to analyze the influence of cardiorespiratory fitness (CRF) on ventilatory threshold identification (VT1) using the Ventilatory Equivalents (VEq) and V-slope methods. Twenty-two male runners (32.9 ± 9.4 years) were divided into two groups: G1 - group with less cardiorespiratory fitness (CRF: VO2max 40 to 51 ml·kg-1·min-1) and G2 - higher CRF (G1; VO2max £56,4 to 72 ml·kg-1·min-1) divided by the 50th percentile. An incremental cardiopulmonary exercise test was applied to identify VT1 using VEq and V-slope methods to compare heart rate (HR), oxygen consumption (VO2), and speed. Two-way ANOVA was used to compare HR, VO2, and speed (groups vs. methods). The Effect size was calculated using Cohen’s d. The intraclass correlation coefficient, variation coefficient, typical error, and Bland Altman were applied to verify reliability and agreement. No significant differences (p < 0.05) were found between methods for G1 (VO2, HR, and speed), and Bland Altman showed good agreement (mean difference: VO2 0.35ml·kg-1·min-1; HR 2.58bpm; speed 0.33km·h-1). However, G2 presented statistical differences between methods (VO2 and speed) and a more significant mean difference (VO2 2.68ml·kg-1·min-1; HR 6.87 bpm; speed 0.88km·h-1). The small effect size was found in G1 between methods (VO2: 0.06; speed: 0.20; HR: 0.14), and small and moderate effects were found in G2 between methods (VO2: 0.39; speed: 0.43; HR: 0.51). In conclusion, runners with lower CRF have a better agreement for the V-slope and VEq methods than those with a higher CRF.O objetivo deste estudo foi analisar a influência do nível de aptidão cardiorrespiratória (ACR) entre os métodos Equivalente Ventilatório (VEq) e V-slope para determinação do Limiar Ventilatório 1 (LV1). 22 homens corredores (32,9 ± 9,4 anos) foram divididos em dois grupos: G1 - grupo com menor aptidão cardiorrespiratória (ACR:VO2máx 40 a 51 ml·kg-1·min-1) e G2 - maior ACR (VO2máx 56,4 a 72 ml·kg-1·min-1), divididos pelo percentil 50. Foi aplicado um teste incremental cardiopulmonar para identificar o LV1 através dos métodos VEq e V-slope, comparando as seguintes variáveis: Frequência Cardíaca (FC), Consumo de Oxigênio (VO2) e velocidade. Para comparações entre FC, VO2 e velocidade (grupos vs. métodos) empregou-se ANOVA de duas vias. O tamanho do efeito foi calculado utilizando d’Cohen. Para verificar a confiabilidade e a concordância, foram aplicados o coeficiente de correlação intraclasse, coeficiente de variação, erro típico e Bland Altman. Não foram encontradas diferenças significativas (p < 0,05) entre métodos para G1 (VO2, FC e velocidade) e Bland Altman revelou boa concordância (diferença média: VO2 0,35ml·kg-1·min-1; FC 2,58bpm; velocidade 0,33km·h-1). Contudo, G2 apresentou diferenças estatísticas entre métodos (VO2 e velocidade) e maior diferença média (VO2 2,68ml·kg-1·min-1; FC 6,87 bpm; velocidade 0,88km·h-1). Tamanho de efeito pequeno foi encontrado no G1 entre os métodos (VO2: 0,06; velocidade: 0,20; FC: 0,14) e efeitos Pequenos e moderados foram encontrados no G2 entre os métodos (VO2: 0,39; velocidade: 0,43; FC: 0,51). Conclui-se que corredores com menor ACR apresentam melhor concordância para os métodos V-slope e VEq em comparação aqueles com maior ACR.Department of Physical Education - State University of Maringá (UEM), Maringá-PR, Brazil2021-08-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/5706310.4025/jphyseduc.v32i1.3279Journal of Physical Education; Vol 32 No 1 (2021): Journal of Physical Education; e-3279Journal of Physical Education; Vol. 32 Núm. 1 (2021): Journal of Physical Education; e-3279Journal of Physical Education; v. 32 n. 1 (2021): Journal of Physical Education; e-32792448-2455reponame:Journal of Physical Education (Maringá)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttps://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/57063/751375152525Copyright (c) 2021 Journal of Physical Education https://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessNascimento Santos Neves, LeticiaGasparini Neto, Victor HugoPereira alves, SabrinaDiego Leite, RichardAugusto Barbieri, RicardoCarletti, Luciana2021-10-25T13:02:04Zoai:periodicos.uem.br/ojs:article/57063Revistahttp://periodicos.uem.br/ojs/index.php/RevEducFis/indexPUBhttps://old.scielo.br/oai/scielo-oai.php||revdef@uem.br2448-24552448-2455opendoar:2021-10-25T13:02:04Journal of Physical Education (Maringá) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Cardiorespiratory fitness level influences the ventilatory threshold identification Nível de aptidão cardiorrespiratória influencia a identificação do limiar ventilatório |
title |
Cardiorespiratory fitness level influences the ventilatory threshold identification |
spellingShingle |
Cardiorespiratory fitness level influences the ventilatory threshold identification Nascimento Santos Neves, Leticia Anaerobic Threshold Physical Fitness Oxygen Consumption Sports Performance Limiar Anaeróbico Aptidão Física Consumo de Oxigênio Rendimento Esportivo |
title_short |
Cardiorespiratory fitness level influences the ventilatory threshold identification |
title_full |
Cardiorespiratory fitness level influences the ventilatory threshold identification |
title_fullStr |
Cardiorespiratory fitness level influences the ventilatory threshold identification |
title_full_unstemmed |
Cardiorespiratory fitness level influences the ventilatory threshold identification |
title_sort |
Cardiorespiratory fitness level influences the ventilatory threshold identification |
author |
Nascimento Santos Neves, Leticia |
author_facet |
Nascimento Santos Neves, Leticia Gasparini Neto, Victor Hugo Pereira alves, Sabrina Diego Leite, Richard Augusto Barbieri, Ricardo Carletti, Luciana |
author_role |
author |
author2 |
Gasparini Neto, Victor Hugo Pereira alves, Sabrina Diego Leite, Richard Augusto Barbieri, Ricardo Carletti, Luciana |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Nascimento Santos Neves, Leticia Gasparini Neto, Victor Hugo Pereira alves, Sabrina Diego Leite, Richard Augusto Barbieri, Ricardo Carletti, Luciana |
dc.subject.por.fl_str_mv |
Anaerobic Threshold Physical Fitness Oxygen Consumption Sports Performance Limiar Anaeróbico Aptidão Física Consumo de Oxigênio Rendimento Esportivo |
topic |
Anaerobic Threshold Physical Fitness Oxygen Consumption Sports Performance Limiar Anaeróbico Aptidão Física Consumo de Oxigênio Rendimento Esportivo |
description |
We aimed to analyze the influence of cardiorespiratory fitness (CRF) on ventilatory threshold identification (VT1) using the Ventilatory Equivalents (VEq) and V-slope methods. Twenty-two male runners (32.9 ± 9.4 years) were divided into two groups: G1 - group with less cardiorespiratory fitness (CRF: VO2max 40 to 51 ml·kg-1·min-1) and G2 - higher CRF (G1; VO2max £56,4 to 72 ml·kg-1·min-1) divided by the 50th percentile. An incremental cardiopulmonary exercise test was applied to identify VT1 using VEq and V-slope methods to compare heart rate (HR), oxygen consumption (VO2), and speed. Two-way ANOVA was used to compare HR, VO2, and speed (groups vs. methods). The Effect size was calculated using Cohen’s d. The intraclass correlation coefficient, variation coefficient, typical error, and Bland Altman were applied to verify reliability and agreement. No significant differences (p < 0.05) were found between methods for G1 (VO2, HR, and speed), and Bland Altman showed good agreement (mean difference: VO2 0.35ml·kg-1·min-1; HR 2.58bpm; speed 0.33km·h-1). However, G2 presented statistical differences between methods (VO2 and speed) and a more significant mean difference (VO2 2.68ml·kg-1·min-1; HR 6.87 bpm; speed 0.88km·h-1). The small effect size was found in G1 between methods (VO2: 0.06; speed: 0.20; HR: 0.14), and small and moderate effects were found in G2 between methods (VO2: 0.39; speed: 0.43; HR: 0.51). In conclusion, runners with lower CRF have a better agreement for the V-slope and VEq methods than those with a higher CRF. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/57063 10.4025/jphyseduc.v32i1.3279 |
url |
https://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/57063 |
identifier_str_mv |
10.4025/jphyseduc.v32i1.3279 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/57063/751375152525 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Journal of Physical Education https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Journal of Physical Education https://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Department of Physical Education - State University of Maringá (UEM), Maringá-PR, Brazil |
publisher.none.fl_str_mv |
Department of Physical Education - State University of Maringá (UEM), Maringá-PR, Brazil |
dc.source.none.fl_str_mv |
Journal of Physical Education; Vol 32 No 1 (2021): Journal of Physical Education; e-3279 Journal of Physical Education; Vol. 32 Núm. 1 (2021): Journal of Physical Education; e-3279 Journal of Physical Education; v. 32 n. 1 (2021): Journal of Physical Education; e-3279 2448-2455 reponame:Journal of Physical Education (Maringá) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Journal of Physical Education (Maringá) |
collection |
Journal of Physical Education (Maringá) |
repository.name.fl_str_mv |
Journal of Physical Education (Maringá) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||revdef@uem.br |
_version_ |
1754732546527068160 |