DETERMINING THE BEST MODEL ON THE EFFECT OF OVERWEIGHT ON ADULT INDIVIDUAL USING MULTIPLE REGRESSION ANALYSIS

Abstract

ABSTRACT This study examine the best model that determine the effect of overweight on adult individuals using multiple regression analysis. One hundred and sixty (160) healthy individuals were used for the study, and the variables of interest were Age, Sex, and Height. The multiple regression analyses were carried out to determine the best model that estimate the overweight of an adult individual using the variables of interest. The data were collected using digital scale for measuring subject’s weight, meter rule for measuring subject’s height to the nearest 0.00m. Percentage distribution of the body weight categories of the subjects based on Body Mass Index (BMI); 45% of the subjects were at abnormal weight that is (underweight 3%, overweight 32% and obese 10%), and normal weight 55%.The study indicates that weight can serve as a positive indicator of studying overweight in the selected communities; and the Multiple regression equation𝒚̂= −𝟎.𝟓𝟒𝟖+𝟎.𝟐𝟏𝟑(𝑨𝒈𝒆)+𝟑𝟓.𝟖𝟑𝟑(𝑯𝒆𝒊𝒈𝒉𝒕)−𝟎.𝟗𝟏𝟑(𝑺𝒆𝒙) was the best model. However, it may not be used to determine underweight in adults. Regular BMI and weight screening is recommended as an easy and effective means of assessing body weight and in the prevention of weight related diseases in adults.