Prediction of maximal aerobic power in healthy Indian males 21-58 years of age.

S S Verma, Y K Sharma, N Kishore
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Abstract

An attempt has been made in this paper to predict maximal aerobic power (VO2max) in healthy Indian males by three important physical characteristics (viz. age, height and body weight) using the technique of multivariate regression analysis for a wide age group ranging from 21 to 58 years. It has been observed that these characteristics can contribute significantly to the prediction of maximal aerobic power. Three combinations of predictors of two predictors at a time have also been tried to predict maximal aerobic power. Out of these three combinations, the combination of age and body weight has the maximum multiple correlation (R = 0.536, P < 0.001) for a group of 146 subjects of healthy Indian males. A nomogram has been constructed to predict VO2max from age and body weight in order to make the developed multiple linear regression equation of more practical utility to the biomedical scientists who may not be well acquainted with the statistical computational work.

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21-58岁印度健康男性最大有氧能力预测
本文试图通过三个重要的身体特征(即年龄、身高和体重)来预测健康印度男性的最大有氧能力(VO2max),使用多元回归分析技术,对21至58岁的广泛年龄组进行了预测。已经观察到,这些特征可以显著有助于最大有氧能力的预测。预测因子的三种组合或同时使用两种预测因子也曾尝试预测最大有氧能力。在这三种组合中,年龄和体重的组合对146名健康的印度男性具有最大的多重相关性(R = 0.536, P < 0.001)。为了使所建立的多元线性回归方程对不熟悉统计计算工作的生物医学科学家更有实用价值,我们构建了一个由年龄和体重预测VO2max的nomogram。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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