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针对经过有氧训练的男性和女性的一种新的通气阈值方程。

A new ventilatory threshold equation for aerobically trained men and women.

作者信息

Malek Moh H, Coburn Jared W

机构信息

Division of Physiology, School of Medicine, University of California-San Diego, La Jolla, CA 92093-0623A, USA.

出版信息

Clin Physiol Funct Imaging. 2009 Apr;29(2):143-50. doi: 10.1111/j.1475-097X.2008.00850.x.

Abstract

The purposes of the present study were to (i) modify previously published ventilatory threshold (VT) equations using the constant error (CE) values for aerobically trained individuals from a recent study; (ii) cross-validate the modified equations to determine their accuracy for estimating VT in aerobically trained individuals; (iii) derive a new non-exercise based equation for estimating VT in aerobically trained individuals if the modified equations are found to be inaccurate; and (iv) cross-validate the new VT equation using the Predicted REsidual Sum of Squares (PRESS) statistic and an independent sample of aerobically trained individuals. Two hundred and eight (n = 208) aerobically trained men and women (mean +/- SD: age = 38.8 +/- 10.4 year) performed a maximal incremental test on a cycle ergometer to determine the observed VT. The predicted VT values from seven published equations were compared with the observed VT by examining the CE, standard error of estimate, validity coefficient (r), and total error (TE). Cross-validation of the modified equations resulted in high %TE values. Therefore, a new VT equation was derived. Cross-validation of this equation on an independent sample of 72 subjects resulted in a low %TE value. The new model is recommended over previous models for estimating VT in aerobically trained individuals.

摘要

本研究的目的是

(i)使用近期一项研究中经过有氧训练个体的恒定误差(CE)值,对先前发表的通气阈值(VT)方程进行修正;(ii)对修正后的方程进行交叉验证,以确定其在估计经过有氧训练个体的VT时的准确性;(iii)如果发现修正后的方程不准确,则推导一个新的基于非运动的方程来估计经过有氧训练个体的VT;(iv)使用预测残差平方和(PRESS)统计量以及经过有氧训练个体的独立样本,对新的VT方程进行交叉验证。208名(n = 208)经过有氧训练的男性和女性(平均±标准差:年龄 = 38.8±10.4岁)在自行车测力计上进行了最大递增测试,以确定观察到的VT。通过检查CE、估计标准误差、效度系数(r)和总误差(TE),将七个已发表方程的预测VT值与观察到的VT进行比较。修正后方程的交叉验证导致了较高的TE百分比值。因此,推导了一个新的VT方程。对72名受试者的独立样本进行该方程的交叉验证,得到了较低的TE百分比值。对于估计经过有氧训练个体的VT,推荐使用新模型而非先前的模型。

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