Prediction of 3000-m Running Performance Using Classic Physiological Respiratory Responses
| Autor: | Thiago Fernando Lourenço, Lucas Samuel Tessutti, Carlos Eduardo Raimundo da Silva, Fernando Oliveira Catanho da Silva, Cesar C. C. Abad |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
VO2 max
Physical Therapy Sports Therapy and Rehabilitation lcsh:Human anatomy Respiratory compensation Pearson product-moment correlation coefficient lcsh:QM1-695 symbols.namesake vVO2max Physiology (medical) Statistical significance Statistics Linear regression symbols Running Athletes Exercise Athletic Performance Orthopedics and Sports Medicine Treadmill Ventilatory threshold Mathematics |
| Zdroj: | INTERNATIONAL JOURNAL OF KINESIOLOGY AND SPORTS SCIENCE, Vol 6, Iss 3, Pp 18-24 (2018) |
| Popis: | Introduction: Knowing which physiological variables predict running performance could help coaches to optimize training prescription to improve running performance. Objective: The present study investigated which physiological respiratory responses could predict 3000-m running performance. Methods: Seventeen amateur runners (29.82±7.1years; 173.12±9.0cm; 64.59±9.3kg) performed a maximal graded running test on a treadmill. The ventilatory threshold (VT), respiratory compensation point (RCP), and maximal oxygen consumption (VO2max) were assessed, as well as the respective velocities (vVT, vRCP, vVO2max). After 72 to 96 hours the runners performed the 3000-m running field test. The relationships between variables were performed using Pearson product momentum correlations. Thereafter, simple and multiple regression models were applied. The significance level adopted was 5% (p |
| Databáze: | OpenAIRE |
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