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BRIEF RESEARCH REPORT article

Front. Physiol.
Sec. Exercise Physiology
Volume 15 - 2024 | doi: 10.3389/fphys.2024.1437962
This article is part of the Research Topic Assessment and Monitoring of Human Movement View all 34 articles

Study on heart rate recovery index to predict maximum oxygen uptake in healthy adults aged 30 to 60 years old

Provisionally accepted
  • 1 Institute of Sports Science of the State Sports General Administration, Beijing, China
  • 2 College of Physical Education, Hebei Normal University, Shijiazhuang, China

The final, formatted version of the article will be published soon.

    Objective: To explore the feasibility of post-exercise heart rate recovery indicators for predicting maximum oxygen uptake (VO2max) in healthy adults aged 30 to 60 years.Methods: 260 healthy adults who did not perform regular exercise were randomly recruited and divided into a model group (n=200) and a verification group (n=60). Measure body fat percentage, weight, height and other indicators, and complete a cardiopulmonary exercise test as required to measure VO2max and heart rate recovery (HRR1, HRR2) in the first and second minutes after exercise. Equations are established through stepwise regression method, and the selected optimal equation is tested for back substitution. Results: The optimal equation is: absolute VO2max=-0.528+0.039*weight-3.463*body fat rate+0.042*HRR2-0.180*gender (male=1, female=2). Analysis of variance, goodness-of-fit test, VIF test, Shapiro-Wilk test, and Durbin-Watson test indicate that the equation is more reliable; Pearson product-moment correlation analysis, paired t test, and Bland-Altman consistency test indicate that the equation is more valid. good. Conclusion: The regression equation established through heart rate recovery after exercise can be used to predict VO2max in healthy adults aged 30 to 60 years.

    Keywords: heart rate recovery, maximum oxygen uptake, Regression equation, Healthy people aged 30~50, Cardiorespiratory Endurance

    Received: 24 May 2024; Accepted: 29 Nov 2024.

    Copyright: © 2024 Miao, Houyuan, Li and Yan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Qi Yan, Institute of Sports Science of the State Sports General Administration, Beijing, China

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