Department of Sport, Health and Exercise Science, University of Hull, Hull, United Kingdom.
School of Health Sciences, Swinburne University of Technology, Melbourne, Australia.
PLoS One. 2022 Nov 3;17(11):e0277031. doi: 10.1371/journal.pone.0277031. eCollection 2022.
A metabolic equivalent (MET) is one of the most common methods used to objectively quantify physical activity intensity. Although the MET provides an 'objective' measure, it does not account for inter-individual differences in cardiorespiratory fitness. In contrast, 'relative' measures of physical activity intensity, such as heart rate reserve (HRR), do account for cardiorespiratory fitness. The purpose of this systematic review with meta-regression was to compare measures of absolute and relative physical activity intensity collected during walking.
A systematic search of four databases (SPORTDiscus, Medline, Academic Search Premier and CINAHL) was completed. Keyword searches were: (i) step* OR walk* OR strid* OR "physical activity"; (ii) absolute OR "absolute intensity" OR mets OR metabolic equivalent OR actigraph* OR acceleromet*; (iii) relative OR "relative intensity" OR "heart rate" OR "heart rate reserve" OR "VO2 reserve" OR VO2* OR "VO2 uptake" OR HRmax* OR metmax. Categories (i) to (iii) were combined using 'AND;' with studies related to running excluded. A Bayesian regression was conducted to quantify the relationship between METs and %HRR, with Bayesian logistic regression conducted to examine the classification agreement between methods. A modified Downs and Black scale incorporating 13 questions relative to cross-sectional study design was used to assess quality and risk of bias in all included studies.
A total of 15 papers were included in the systematic review. A comparison of means between absolute (METs) and relative (%HRR, %HRmax, %VO2R, %VO2max, HRindex) values in 8 studies identified agreement in how intensity was classified (light, moderate or vigorous) in 60% of the trials. We received raw data from three authors, incorporating 3 studies and 290 participants. A Bayesian random intercept logistic regression was conducted to examine the agreement between relative and absolute intensity, showing agreement in 43% of all trials. Two studies had identical relative variables (%HRR) totalling 240 participants included in the Bayesian random intercept regression. The best performing model was a log-log regression, which showed that for every 1% increase in METs, %HRR increased by 1.12% (95% CI: 1.10-1.14). Specifically, the model predicts at the lower bound of absolute moderate intensity (3 METs), %HRR was estimated to be 33% (95%CI: 18-57) and at vigorous intensity (6 METs) %HRR was estimated to be 71% (38-100).
This study highlights the discrepancies between absolute and relative measures of physical activity intensity during walking with large disagreement observed between methods and large variation in %HRR at a given MET. Consequently, health professionals should be aware of this lack of agreement between absolute and relative measures. Moreover, if we are to move towards a more individualised approach to exercise prescription and monitoring as advocated, relative intensity could be more highly prioritised.
代谢当量(MET)是最常用的客观量化体力活动强度的方法之一。尽管 MET 提供了“客观”的测量,但它没有考虑到个体心肺健康的差异。相比之下,体力活动强度的“相对”测量,如心率储备(HRR),则考虑到了心肺健康。本系统评价采用贝叶斯回归,旨在比较在步行过程中收集的绝对和相对体力活动强度的测量值。
对四个数据库(SPORTDiscus、Medline、Academic Search Premier 和 CINAHL)进行了系统检索。关键词搜索为:(i)step* OR walk* OR strid* OR “physical activity”;(ii)absolute OR “absolute intensity” OR mets OR metabolic equivalent OR actigraph* OR acceleromet*;(iii)relative OR “relative intensity” OR “heart rate” OR “heart rate reserve” OR “VO2 reserve” OR VO2* OR “VO2 uptake” OR HRmax* OR metmax。类别(i)到(iii)使用“AND”组合,排除与跑步相关的研究。采用贝叶斯回归量化 METs 和 %HRR 之间的关系,采用贝叶斯逻辑回归检查方法之间的分类一致性。采用一种改良的 Downs 和 Black 量表,该量表包含 13 个与横断面研究设计相关的问题,用于评估所有纳入研究的质量和偏倚风险。
系统评价共纳入 15 篇论文。在 8 项研究中比较绝对(METs)和相对(%HRR、%HRmax、%VO2R、%VO2max、HRindex)值之间的均值,发现 60%的试验中,两种强度的分类是一致的。我们从三位作者那里收到了原始数据,其中包含 3 项研究和 290 名参与者。采用贝叶斯随机截距逻辑回归来检验相对和绝对强度之间的一致性,结果显示在所有试验中一致性为 43%。两项研究的相对变量(%HRR)完全相同,共有 240 名参与者被纳入贝叶斯随机截距回归。表现最好的模型是对数-对数回归,该模型表明,METs 每增加 1%,%HRR 增加 1.12%(95%CI:1.10-1.14)。具体来说,该模型预测在绝对中等强度(3 METs)的下限,%HRR 估计为 33%(95%CI:18-57),在剧烈强度(6 METs)时,%HRR 估计为 71%(38-100)。
本研究强调了在步行过程中绝对和相对体力活动强度测量之间的差异,方法之间存在较大差异,在给定的 MET 下,%HRR 变化较大。因此,健康专业人员应该意识到绝对和相对测量之间的这种不一致。此外,如果我们要朝着更个体化的运动处方和监测方法发展,那么相对强度可能会被更高地优先考虑。