Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, USA.
Eur J Sport Sci. 2024 Oct;24(10):1516-1525. doi: 10.1002/ejsc.12180. Epub 2024 Sep 19.
Predictive equations are widely employed for estimating the volume of oxygen consumption (VO) while walking, which is ultimately employed to determine energy expenditure and tailor exercise prescription. This study aimed to test the agreement between the measured VO and estimated VO 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 VO. 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 VO values. We calculated the mean bias (mean difference between measured VO and estimated VO) obtained at each speed using one-sample t-tests. We compared the VO 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 VO 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 VO during walking. Nevertheless, based on our results, the Weyand equation should be the preferred option.
预测方程被广泛用于估计步行时的耗氧量（VO），最终用于确定能量消耗并制定运动处方。本研究旨在测试在跑步机上以 3.5、4.5、5.5 和 6.5 km/h 的速度进行步行方案时，测量 VO 与估计 VO 之间的一致性。38 名年轻人（50%为女性）参与了这项横断面研究。使用 Omnical（Maastricht Instruments，Maastricht，荷兰）和 K5（Cosmed，Rome，意大利）代谢系统测量 VO。为了确定预测方程，我们使用 MEDLINE 数据库从 2022 年 5 月到 2023 年 7 月进行了全面的文献检索。找到了 7 个预测方程并包含在内以估计 VO 值。我们使用单样本 t 检验计算了每个速度下获得的平均偏差（测量 VO 和估计 VO 之间的差异平均值）。我们使用重复测量方差分析和 Bland-Altman 方法比较了测量和估计的 VO 值。单样本 t 检验显示所有评分误差均与零不同（范围为 1.1 至 5.4 mL/kg/min）。因此，与 Omnical 和 K5 代谢系统相比，没有预测方程可以在所有强度下估计相似的 VO 值。然而，Weyand 方程在所有强度下显示出最低的偏差（评分误差为 1.1 mL/kg/min）。这项研究表明，与专门设计用于估计步行时 VO 的各种预测方程相比，Omnical 和 K5 系统之间存在一致性不足的情况。然而，根据我们的结果，Weyand 方程应该是首选。
