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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.
Sec. Precision Cardiology
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1393363
This article is part of the Research Topic Personalized Physical Activity and Exercise in Preventive Cardiology View all 5 articles

A Generalized Equation for Predicting Peak Oxygen Consumption in Treadmill Exercise Testing: Mitigating the Bias from Total Body Weight Scaling

Provisionally accepted
  • 1 Division of Cardiovascular Medicine, Department of Medicine, School of Medicine, Stanford University, Stanford, California, United States
  • 2 Stanford Cardiovascular Institute, School of Medicine, Stanford University, Stanfordd, California, United States
  • 3 Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
  • 4 Pathology Stem Cell Institute, School of Medicine, Stanford University, Stanford, California, United States
  • 5 Stanford Prevention Research Center, Department of Medicine, School of Medicine, Stanford University, Stanford, California, United States
  • 6 Department of Physical Therapy, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois, United States
  • 7 Fisher Institute for Health and Well-Being, Ball State University, Muncie, Indiana, United States
  • 8 Ball State University, Muncie, Indiana, United States
  • 9 VA Palo Alto Health Care System, Veterans Health Administration, United States Department of Veterans Affairs, Palo Alto, California, United States

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

    Background: Indexing peak oxygen uptake (VO₂peak) to total body mass can underestimate cardiorespiratory fitness (CRF) in women, older adults, and individuals with obesity. The primary objective of this multicenter study was to derive and validate a body size-independent scaling metric for VO₂peak. This metric was termed Exercise Body Mass (EBM).In a cohort of apparently healthy individuals from the Fitness Registry and the Importance of Exercise National Database (FRIEND), we derived EBM using multivariable log-normal regression analysis. Subsequently, we developed a novel workload (WL) equation based on speed (Sp), fractional grade (fGr), and heart rate reserve (HRR). The generalized equation for VO₂peak can be expressed as: VO₂peak = Cst * EBM * WL, where Cst is a constant representing the VO₂peak equivalent of one metabolic equivalent of task. This generalized equation was, then, externally validated using the Stanford Exercise Testing (SET) dataset.Results: A total of 5,618 apparently healthy individuals with a respiratory exchange ratio >1.0 (57% male, mean age 44±13 years) were included. The EBM was expressed as: Mass(kg) 0.63 * Height(m) 0.53 * 1.16 (if male) * exp (-0.39 *10 -4 *Age 2 ) which was also approximated using simple sex-specific additive equations. Unlike total body mass, EBM provided body size-independent scaling across both sexes and WL categories. The generalized VO₂peak equation was expressed as: 11 * EBM * [2 + Sp (in mph) * (1.06 + 5.22* fGr) + 0.019*HRR] and had an R 2 of 0.83, P< 0.001. This generalized equation mitigated bias in VO₂peak estimations across age, sex, and body mass index subgroups and was validated in SET registry, achieving an R 2 of 0.84 (P < 0.001).We derived a generalized equation for VO₂peak in treadmill exercise testing using a novel body size-independent scaling metric. This approach significantly reduced biases in CRF estimates across age, sex, and body composition.

    Keywords: Exercise physiology, Cardiopulmonary exercise testing, Scaling, Body Composition, Oxygen Uptake, Generalized equation, sex differences, Bias

    Received: 28 Feb 2024; Accepted: 19 Nov 2024.

    Copyright: © 2024 Santana, Cauwenberghs, Celestin, Kuznetsova, Gardner, Arena, Kaminsky, Harber, Ashley, Christle, Myers and Haddad. 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:
    Everton Jose Santana, Division of Cardiovascular Medicine, Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, California, United States
    Francois Haddad, Division of Cardiovascular Medicine, Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, California, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.