Key result
New equation limits VO2max underestimation to ~1% versus the traditional ACSM equation in competitive cyclists.
Why the study?
Models for predicting maximal oxygen consumption in average adults may not be suitable for competitive cyclists who have significantly higher VO2max.
Does a new prediction equation improve the accuracy of VO2max estimation in competitive cyclists compared to the traditional ACSM equation?
Comparison
New VO2max prediction equations vs traditional ACSM equation
Design
Cross-sectional study
Authors
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May refine VO2max estimates in competitive cyclists; leaves open prospective validation before wider clinical adoption.
Cross-Sectional (n=580)
No
Does a new prediction equation improve the accuracy of VO2max estimation in competitive cyclists compared to the traditional ACSM equation?
Absolute Event Rate: 1.04% vs 11.99%
p-value: p=<0.001
A newly developed, population-specific equation significantly improves the accuracy of VO2max prediction in competitive cyclists compared to the traditional ACSM equation.
Jurov et al. (2023) conducted a cross-sectional in Healthy competitive road cyclists (n=580). New VO2max prediction equation vs. ACSM equation was evaluated on Underestimation of VO2max (relative bias) (p=<0.001). The new prediction equation underestimated VO2max by only 1.04% compared to an 11.99% underestimation by the traditional ACSM equation in competitive cyclists.
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