Loading...
Should we use fat-free mass or body mass and percentage body fat as separate predictors to predict maximum oxygen uptake?
; Harber, Matthew ; ; Myers, Jonathan ; Arena, Ross ; Myers, Tony ; Kaminsky, Leonard A
Harber, Matthew
Myers, Jonathan
Arena, Ross
Myers, Tony
Kaminsky, Leonard A
Editors
Other contributors
Epub Date
Issue Date
2026-03-12
Submitted date
Subjects
Alternative
Abstract
Background/objective To assess whether fat-free mass (FFM) or body mass (M) is the more appropriate body size variable to predict maximum oxygen uptake (VO2max, L⋅min−1).
Methods Data (3930 cardiopulmonary exercise tests) were provided from the FRIEND registry. Our prediction equations adopted the well-known allometric/power function model VO2max (L⋅min−1)=a·Xb, using either FFM or M as the predictor variable (X). These models can be linearised with a log-transformation, and analysis of covariance (ANCOVA) can then be used to estimate the unknown parameters.
Results Initially, when predicting Ln(VO2max) using only Ln(FFM) adjusted for age and sex, the explained variance was R2=0.718 (Akaike information criterion (AIC)=−1882.5), with the FFM exponent b=0.658. However, when predicting Ln(VO2max) using M AND bodyfat% separately, the explained variance increased to R2=0.733 (AIC=−2077.4), with the M exponent b=0.636. The difference in R2 and AICs confirmed the benefit of predicting VO2max using separate M and bodyfat% terms. The analysis identified an enlarged negative bodyfat% term that improved the prediction of VO2max, explained latterly by central adiposity (waist circumference). These final, more inclusive M and FFM exponents were estimated to be b=0.67, suggesting that VO2max should be normalised using VO2max (mL·FFM−2/3·min−1) or preferably VO2max (mL·M−2/3·min−1) rather than VO2max (mL·FFM−1·min−1). We also found that linear prediction models systematically under-estimate the VO2max of overweight and underweight individuals, but over-estimate the VO2max of average-weight individuals.
Conclusion Incorporating FFM into equations to predict VO2max fails to explain the negative effect of central adiposity. However, by incorporating M and percentage body fat (BF%) separately into the allometric models, a greater/enlarged negative BF% term explains this apparent omission/absence.
Citation
Nevill A, Harber M, Wyon M, Myers J, Arena R, Myers T, et al. Should we use fat-free mass or body mass and percentage body fat as separate predictors to predict maximum oxygen uptake?. BMJ Open Sport & Exercise Medicine. 2026;12:e003029. https://doi.org/10.1136/bmjsem-2025-003029
Publisher
Research Unit
PubMed ID
PubMed Central ID
Embedded videos
Additional Links
Type
Journal article
Language
en
Description
© 2026 The Authors. Published by BMJ Publishing Group. This is an open access article available under a Creative Commons licence.
The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1136/bmjsem-2025-003029
Series/Report no.
ISSN
2055-7647
EISSN
2055-7647