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Heart Rate Recovery (HRR) Is Not a Singular Predictor for Physical Fitness

Author

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  • Claudia Römer

    (Department of Sports Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany)

  • Bernd Wolfarth

    (Department of Sports Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany)

Abstract

Background: For optimal recommendations in cardiovascular training for the general population, knowing the essential parameters for physical fitness is required. Heart rate recovery (HRR) is an easy-to-measure parameter and is discussed to derive the physical fitness of an individual subject. This study evaluates HRR as a potential physical fitness parameter for public health programs, as it is measured in every ergometry. Methods: In this retrospective cross-sectional study, we analyzed HRR regarding physical fitness (W/kg (IAT: individual anaerobic threshold)). In total, we analyzed 1234 performance protocols in cycle ergometry. Significance tests ( p < 0.001) and multiple linear regression were performed. Results: The analysis of HRR and weight-related performance showed a significant correlation with a moderate coefficient of determination (R 2 = 0.250). The coefficient of determination increases from very weak correlation levels at 1 min post-workout towards weak to moderate levels of correlation at 5 min post-workout. Conclusions: In this study HRR and the weight-related performance at the IAT showed a significant correlation with a mean strength. Thus, a prediction or conclusion on physical performance based singularly on HRR decrease is not recommended. However, in preventive medicine, HRR should be measured and observed on a long-term basis, for analysis of vagal activity and to draw to inferences of mortality.

Suggested Citation

  • Claudia Römer & Bernd Wolfarth, 2022. "Heart Rate Recovery (HRR) Is Not a Singular Predictor for Physical Fitness," IJERPH, MDPI, vol. 20(1), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:792-:d:1021852
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    References listed on IDEAS

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    1. Qian Li & Steven Blume & Joanna Huang & Mette Hammer & Thomas Graf, 2015. "The Economic Burden of Obesity by Glycemic Stage in the United States," PharmacoEconomics, Springer, vol. 33(7), pages 735-748, July.
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    Cited by:

    1. Claudia Römer & Bernd Wolfarth, 2023. "Prediction of Relevant Training Control Parameters at Individual Anaerobic Threshold without Blood Lactate Measurement," IJERPH, MDPI, vol. 20(5), pages 1-12, March.

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