Validation of a series of walking and stepping tests to predict maximal oxygen consumption in adults aged 18-79 years.
Validation of a series of walking and stepping tests to predict maximal oxygen consumption in adults aged 18-79 years.
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DOI：
10.1371/journal.pone.0264110
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发表时间：
2022
期刊：
影响因子：
3.7
通讯作者：
Strath SJ
中科院分区：
文献类型：
--
作者：
Rowley TW;Cho C;Swartz AM;Cho Y;Strath SJ
估计最大耗氧量（VO 2 max）的现场测试是传统运动测试方法的替代方法。已发表的田间试验及其随附的估计方程可解释VO 2 max方差的80%，误差率约为4.5 ml.kg-1.min-1。这些测试仅限于非常特定的年龄范围人群。本研究的目的是创建和验证一系列易于管理的步行和踏步场方程，以预测18-79岁健康成年人的VO 2 max。157名成年人完成了分级最大运动试验，以评估VO 2 max。五个独立的步行和三个不同的持续时间，阶段数和强度的独立步进测试完成。采用分层多元回归建立VO 2 max估计方程。协变量包括年龄、性别、体重、静息心率、步行距离、步态速度、步频和恢复心率，采用逐步方法输入每个模型。创建的每个完整模型具有相同的基础模型，包括年龄、性别和体重。使用Jackknife交叉验证分析评估每个模型的有效性，并计算偏倚百分比和均方根误差（RMSE）。基础模型约占VO 2 max总方差的72%。全模型方差范围为~79-83%，各模型间偏倚极小（<±1.0%）。所有模型的RMSE约为4.5 ml.kg-1.min-1。步进测试比步行测试表现更好，解释了约2.5%的方差，并显示较小的RMSE。所有8个模型均占VO 2 max方差的较大百分比（约81%），RMSE约为4.5 ml.kg-1.min-1。检验的模型的方差和误差水平突出了良好的组平均预测，在个体水平上预期误差更大。所有模型在广泛的年龄范围内表现相似，突出了将这些测试应用于更一般人群的灵活性。
Field tests to estimate maximal oxygen consumption (VO2max) are an alternative to traditional exercise testing methods. Published field tests and their accompanying estimation equations account for up to 80% of the variance in VO2max with an error rate of ~4.5 ml.kg-1.min-1. These tests are limited to very specific age-range populations. The purpose of this study was to create and validate a series of easily administered walking and stepping field equations to predict VO2max across a range of healthy 18-79-year-old adults. One-hundred-fifty-seven adults completed a graded maximal exercise test to assess VO2max. Five separate walking and three separate stepping tests of varying durations, number of stages, and intensities were completed. VO2max estimation equations were created using hierarchal multiple regression. Covariates including age, sex, body mass, resting heart rate, distance walked, gait speed, stepping cadence, and recovery heart rate were entered into each model using a stepwise approach. Each full model created had the same base model consisting of age, sex, and body mass. Validity of each model was assessed using a Jackknife cross-validation analysis, and percent bias and root mean square error (RMSE) were calculated. Base models accounted for ~72% of the total variance of VO2max. Full model variance ranged from ~79–83% and bias was minimal (<±1.0%) across models. RMSE for all models were approximately 4.5 ml.kg-1.min-1. Stepping tests performed better than walking tests by explaining ~2.5% more of the variance and displayed smaller RMSE. All eight models accounted for a large percentage of VO2max variance (~81%) with a RMSE of ~4.5 ml.kg-1.min-1. The variance and level of error of models examined highlight good group mean prediction with greater error expected at the individual level. All the models perform similarly across a broad age range, highlighting flexibility in application of these tests to a more general population.
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影响因子：
3.3
作者：
Bassett, DR;Howley, ET;Parr, BB
通讯作者：
Parr, BB
DOI：
10.1249/mss.0b013e31824f5be4
发表时间：
2012-08-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Billinger, Sandra A.;Van Swearingen, Ellie;Good, Mathew B.
通讯作者：
Good, Mathew B.
影响因子：
--
作者：
COOPER, KH
通讯作者：
COOPER, KH
影响因子：
168.9
作者：
BLAND, JM;ALTMAN, DG
通讯作者：
ALTMAN, DG
影响因子：
2.4
作者：
MARITZ, JS;MORRISON, JF;WYNDHAM, CH
通讯作者：
WYNDHAM, CH