Author(s): Shalini Menon, Mukesh Kumar Mishra and Vishan Singh Rathore

Abstract:
The aim of the study was to establish regression equation for predicting Basal Metabolic Rate on the basis of Body Fat, Lean Body Mass, Body Mass Index, Waist Circumference, Waist Hip Ratio, Total Body water. Further to find out correlation between selected Independent variables (Body Fat, Lean Body Mass, Body Mass Index, Waist Circumference, Waist Hip Ratio, Total Body water) with Dependent Variable (Basal Metabolic rate), to study the joint contribution of Independent Variables in estimating Basal Metabolic rate. Fifty postmenopausal women, of different colleges and universities of Bilaspur and Raipur, Chhattisgarh, India, age ranged from 45 to 65 were selected for this study. To find out correlation between Independent Variables and Dependent Variable, and joint contribution of Independent variable in estimating Dependent Variable, Product Moment Method of correlation and multiple correlations was used. Regression equation (Enter method) was established for predicting Dependent variable on the basis of Independent variables. It exists a significant relationship between Body Fat, Lean Body Mass, Total Body water, Waist circumference, Waist hip ratio. In regression model, the value of R2 [0.611 (BFT, LBM, TBW, WC& WHR)] developed for prediction of Basal Metabolic Rate. The resulting regression equation is: Basal metabolic rate = 1.867 (BFT) + 7.818 (WC) +694.447(WHR) +8.360(LBM) +.396(TBW) -.912(BMI) - 362.662.The equation estimates that for the sample survey 61.1% of the variation in Basal metabolic rate is explained by the body’s waist circumference and lean body mass. Also, the significance value for Waist circumference (.001), Lean body mass (.025), was less than 0.05. And the null hypothesis, that there will be no linear relationship between predictors and Basal metabolic rate could not be accepted.

Pages: 427-430  |  1696 Views  202 Downloads

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