EFECTO DEL ENTRENAMIENTO DE INTERVALOS DE ALTA INTENSIDAD SOBRE EL CONSUMO DE OXÍGENO DESPUÉS DELEJERCICIO: METAANÁLISIS
Autor: | Gustavo Allegretti João, Daniel Rodriguez, Lucas D. Tavares, Nelson Carvas Júnior, Francisco Luciano Pontes Júnior, Roberta Luksevicius Rica, Danilo Sales Bocalini, Julien S. Baker, Aylton Figueira Júnior |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Exercício
Acondicionamiento físico humano Physical Therapy Sports Therapy and Rehabilitation Oxygen consumption Consumo de oxigênio Ejercicio Condicionamento físico humano human [HYPERLINK "about] High-intensity interval training Orthopedics and Sports Medicine Consumo de oxigeno Treinamento intervalado de alta intensidade Exercise Entrenamiento de intervalos de alta intensidad |
Zdroj: | Revista Brasileira de Medicina do Esporte, Volume: 29, Article number: e2021_0005, Published: 17 JUN 2022 Revista Brasileira de Medicina do Esporte v.29 2023 Revista brasileira de medicina do esporte Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE) instacron:SBMEE |
Popis: | Introduction: The objective of this study was to present a systematic review and meta-analysis to compare total excess post-exercise oxygen consumption (EPOC) for two training intervention models in healthy individuals, and the secondary objective was to understand whether oxygen consumption after exercise could really promote a meaningful help. Design: To design a meta-analysis review to compare two training intervention models (experimental: high-intensity interval training; and control: continuous moderate-intensity) and their effects on total EPOC in healthy individuals. Participants: Seventeen studies were considered to be of good methodological quality and with a low risk of bias. Methods: Literature searches were performed using the electronic databases with no restriction on year of publication. The keywords used were obtained by consulting Mesh Terms (PubMed) and DeCS (BIREME Health Science Descriptors). Results: The present study findings showed a tendency (random-effects model: 0.87, 95%-CI [0.35,1.38], I2=73%, p |
Databáze: | OpenAIRE |
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