{"title":"Prediction of maximal aerobic power in healthy Indian males 21-58 years of age.","authors":"S S Verma, Y K Sharma, N Kishore","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":76854,"journal":{"name":"Zeitschrift fur Morphologie und Anthropologie","volume":"82 1","pages":"103-10"},"PeriodicalIF":0.0000,"publicationDate":"1998-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zeitschrift fur Morphologie und Anthropologie","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.