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在自行车测力计中对最大摄氧量(VO2max)的准确预测。

Accurate prediction of VO2max in cycle ergometry.

作者信息

Storer T W, Davis J A, Caiozzo V J

机构信息

Laboratory of Exercise Science, El Camino College, Torrance, CA 90506.

出版信息

Med Sci Sports Exerc. 1990 Oct;22(5):704-12. doi: 10.1249/00005768-199010000-00024.

DOI:10.1249/00005768-199010000-00024
PMID:2233211
Abstract

Numerous equations exist for predicting VO2max from the duration (an analog of maximal work rate, Wmax) of a treadmill graded exercise test (GXT). Since a similar equation for cycle ergometry (CE) was not available, we saw the need to develop such an equation, hypothesizing that CE VO2max could be accurately predicted due to its more direct relationship with W. Thus, healthy, sedentary males (N = 115) and females (N = 116), aged 20-70 yr, were given a 15 W.min-1 CE GXT. The following multiple linear regression equations which predict VO2max (ml.min-1) from the independent variables of Wmax (W), body weight (kg), and age (yr) were derived from our subjects: Males: Y = 10.51 (W) + 6.35 (kg) - 10.49 (yr) + 519.3 ml.min-1; R = 0.939, SEE = 212 ml.min-1. Females: Y = 9.39 (W) + 7.7 (kg) - 5.88 (yr) + 136.7 ml.min-1; R = 0.932, SEE = 147 ml.min-1 Using the 95% confidence limits as examples of worst case errors, our equations predict VO2max to within 10% of its true value. Internal (double cross-validation) and external cross-validation analyses yielded r values ranging between 0.920 and 0.950 for the male and female regression equations. These results indicate that use of the equations generated in this study for a 15 W.min-1 CE GXT provides accurate estimates of VO2max.

摘要

存在许多用于根据跑步机分级运动测试(GXT)的持续时间(最大工作率Wmax的类似物)来预测最大摄氧量(VO2max)的方程。由于当时尚无用于自行车测功仪(CE)的类似方程,我们认为有必要开发这样一个方程,假设由于CE的VO2max与W有更直接的关系,因此可以准确预测。因此,我们让115名年龄在20至70岁之间的健康久坐男性和116名同龄健康久坐女性进行了15W·min⁻¹的CE GXT。从我们的研究对象中得出了以下多元线性回归方程,该方程根据Wmax(W)、体重(kg)和年龄(岁)的自变量来预测VO2max(ml·min⁻¹):男性:Y = 10.51(W)+ 6.35(kg) - 10.49(岁)+ 519.3 ml·min⁻¹;R = 0.939,标准误(SEE)= 212 ml·min⁻¹。女性:Y = 9.39(W)+ 7.7(kg) - 5.88(岁)+ 136.7 ml·min⁻¹;R = 0.932,SEE = 147 ml·min⁻¹。以95%置信区间作为最坏情况误差的示例,我们的方程预测VO2max在其真实值的10%以内。内部(双重交叉验证)和外部交叉验证分析得出,男性和女性回归方程的r值在0.920至0.950之间。这些结果表明,使用本研究中生成的方程对15W·min⁻¹的CE GXT进行分析,能够准确估计VO2max。

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