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基于功率自行车和跑步机的心率测定方法是否可以相互替换?

Are heart rate methods based on ergometer cycling and level treadmill walking interchangeable?

机构信息

Research Unit for Movement, Health and Environment, The Åstrand Laboratory and Laboratory of Applied Sport Science, The Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden.

出版信息

PLoS One. 2020 Aug 6;15(8):e0237388. doi: 10.1371/journal.pone.0237388. eCollection 2020.

DOI:10.1371/journal.pone.0237388
PMID:32760167
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7410327/
Abstract

INTRODUCTION

The heart rate (HR) method is a promising approach for evaluating oxygen uptake ([Formula: see text]), energy demands and exercise intensities in different forms of physical activities. It would be valuable if the HR method, established on ergometer cycling, is interchangeable with other regular activities, such as level walking. This study therefore aimed to examine the interchangeability of the HR method when estimating [Formula: see text] for ergometer cycling and level treadmill walking in submaximal conditions.

METHODS

Two models of [Formula: see text] regression equations for cycle ergometer exercise (CEE) and treadmill exercise (TE) were established with 34 active commuters. Model 1 consisted of three submaximal intensities of ergometer cycling or level walking, model 2 included also one additional workload of maximal ergometer cycling or running. The regression equations were used for estimating [Formula: see text] with seven individual HR values based on 25-85% of HR reserve (HRR). The [Formula: see text] estimations were compared between CEE and TE, within and between each model.

RESULTS

Only minor, and in most cases non-significant, average differences were observed when comparing the estimated [Formula: see text] levels between CEE and TE. Model 1 ranged from -0.4 to 4.8% (n.s.) between 25-85%HRR. In model 2, the differences between 25-65%HRR ranged from 1.3 to -2.7% (n.s.). At the two highest intensities, 75 and 85%HRR, [Formula: see text] was slightly lower (3.7%, 4.4%; P < 0.05), for CEE than TE. The inclusion of maximal exercise in the [Formula: see text] relationships reduced the individual [Formula: see text] variations between the two exercise modalities.

CONCLUSION

The HR methods, based on submaximal ergometer cycling and level walking, are interchangeable for estimating mean [Formula: see text] levels between 25-85% of HRR. Essentially, the same applies when adding maximal exercise in the [Formula: see text] relationships. The inter-individual [Formula: see text] variation between ergometer cycling and treadmill exercise is reduced when using the HR method based on both submaximal and maximal workloads.

摘要

简介

心率(HR)法是评估不同形式体育活动中摄氧量([Formula: see text])、能量需求和运动强度的一种很有前景的方法。如果在测功自行车上建立的 HR 法与其他常规活动(如平地行走)互换,那将是很有价值的。因此,本研究旨在检验在亚极量条件下,测功自行车和跑步机步行的 HR 法在估计[Formula: see text]方面的互换性。

方法

用 34 名活跃的通勤者建立了两种用于测功自行车运动(CEE)和跑步机运动(TE)的[Formula: see text]回归方程模型。模型 1 由三个亚极量的测功自行车或平地行走强度组成,模型 2 还包括一个最大测功自行车或跑步的附加工作负荷。使用回归方程,根据心率储备(HRR)的 25%-85%,用 7 个个体 HR 值来估计[Formula: see text]。在模型内和模型间比较 CEE 和 TE 之间的[Formula: see text]估计值。

结果

当比较 CEE 和 TE 之间的估计[Formula: see text]水平时,仅观察到较小且大多数情况下无统计学意义的平均差异。模型 1 在 25%-85%HRR 范围内,范围为-0.4 到 4.8%(n.s.)。在模型 2 中,25%-65%HRR 之间的差异范围为 1.3 到-2.7%(n.s.)。在两个最高强度,75%和 85%HRR,CEE 的[Formula: see text]稍低(3.7%,4.4%;P<0.05)。在[Formula: see text]关系中加入最大运动,减少了两种运动方式之间的个体[Formula: see text]变化。

结论

基于亚极量测功自行车和平地行走的 HR 法可互换用于估计 25%-85%HRR 之间的平均[Formula: see text]水平。当在[Formula: see text]关系中加入最大运动时,基本适用相同的情况。当使用基于亚极量和最大工作量的 HR 法时,测功自行车和跑步机运动之间的个体[Formula: see text]变化减少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/6450c8862a30/pone.0237388.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/2eab666e19d5/pone.0237388.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/3f9822dea53f/pone.0237388.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/9efa60c16b3a/pone.0237388.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/6450c8862a30/pone.0237388.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/2eab666e19d5/pone.0237388.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/3f9822dea53f/pone.0237388.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/9efa60c16b3a/pone.0237388.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bc/7410327/6450c8862a30/pone.0237388.g004.jpg

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