The Research Unit for Movement, Health and Environment, Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden.
The Research Unit for Movement, Health and Environment, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden.
BMC Med Res Methodol. 2022 Feb 27;22(1):55. doi: 10.1186/s12874-022-01524-w.
The heart rate (HR) method enables estimating oxygen uptake (V̇O) in physical activities. However, there is a paucity in knowledge about the interchangeability of this method when applied to cycling, walking and running. Furthermore, with the aim of optimization, there is a need to compare different models for establishing HR-V̇O relationships.
Twenty-four physically active individuals (12 males and 12 females) participated. For each participant, two models of HR-V̇O relationships were individually established in ergometer cycling, level treadmill walking and running. Model 1 consisted of five submaximal workloads, whereas model 2 included also a maximal workload. Linear regression equations were used to estimate V̇O at seven intensity levels ranging between 25 and 85% of heart rate reserve (HRR). The estimated V̇O levels were compared between the exercise modalities and models, as well as with data from a previous study.
A high level of resemblance in estimated V̇O was noted between running and cycling as well as between running and walking, with both model 1 and model 2. When comparing walking and cycling, the V̇O levels for given intensities of %HRR were frequently slightly higher in walking with both models (range of significant differences: 5-12%). The variations of the estimated individual V̇O values were reduced when using model 2 compared to model 1, both between and within the exercise modalities.
The HR method is optimized by more workloads and wider ranges. This leads to overall high levels of interchangeability when HR methods are applied in ergometer cycling, level treadmill walking and running.
心率(HR)法可用于估算体力活动中的摄氧量(V̇O)。然而,关于该方法在应用于骑行、步行和跑步时的可互换性,人们知之甚少。此外,为了优化,需要比较建立 HR-V̇O 关系的不同模型。
共有 24 名身体活跃的个体(12 名男性和 12 名女性)参与了研究。对于每个参与者,分别在测功机骑行、水平跑步机步行和跑步中单独建立了两种 HR-V̇O 关系模型。模型 1 由五个次最大负荷组成,而模型 2 还包括一个最大负荷。线性回归方程用于估计七个强度水平的 V̇O,强度范围为心率储备(HRR)的 25%至 85%。比较了不同运动模式和模型之间以及与之前研究数据的估计 V̇O 水平。
模型 1 和模型 2 下,跑步和骑行之间以及跑步和步行之间,估计的 V̇O 水平具有高度相似性。当比较步行和骑行时,在给定的 %HRR 强度下,两种模型下的 V̇O 水平通常略高(显著差异范围:5-12%)。与模型 1 相比,模型 2 可减少个体估计的 V̇O 值的变化,无论是在运动模式之间还是在运动模式内。
通过更多的工作量和更宽的范围,HR 法得到了优化。这导致 HR 法在测功机骑行、水平跑步机步行和跑步中的应用具有较高的可互换性。