Whole-body volume of oxygen consumption while walking: Agreement between measured and estimated values

Abstract

Predictive equations are widely employed for estimating the volume of oxygen consumption (VO₂) while walking, which is ultimately employed to determine energy expenditure and tailor exercise prescription. This study aimed to test the agreement between the measured VO₂ and estimated VO₂ during a walking protocol on a treadmill at 3.5, 4.5, 5.5, and 6.5 km/h. Thirty-eight young adults (50% women) participated in this cross-sectional study. The Omnical (Maastricht Instruments, Maastricht, The Netherlands) and K5 (Cosmed, Rome, Italy) metabolic systems were used to measure VO₂. To determine the predictive equations, a comprehensive literature search was conducted using the MEDLINE database from May 2022 to July 2023. Seven predictive equations were found and included for estimating VO₂ values. We calculated the mean bias (mean difference between measured VO₂ and estimated VO₂) obtained at each speed using one-sample t-tests. We compared the VO₂ measured and estimated values using repeated measures analysis of variance and the Bland–Altman method. One-sample t-tests showed that all score errors were different from zero (ranging from 1.1 to 5.4 mL/kg/min). Thus, no predictive equation estimated similar VO₂ values in comparison with the Omnical and K5 metabolic systems at all intensities. However, the Weyand equation showed the lowest bias across all intensities (score error of 1.1 mL/kg/min). This study showed a lack of agreement between the Omnical and K5 systems compared to diverse predictive equations specially designed to estimate VO₂ during walking. Nevertheless, based on our results, the Weyand equation should be the preferred option.