The Effect of Age, Weight on Hypertensive Patients in State Hospital, Osogbo, Osun State, Nigeria

Abstract

This project work examines the contribution of age, weight and height to the blood pressure of 50 randomly selected individuals from medical record unit of the State Hospital, Osogbo, Osun state. The fitted mathematical model that represents the relationship among the variables is  16Y">  = 73.222 + 0 .075X₁ - 0.044X₂ + 12.178X₃ . This implies that the rate of change in Y (Blood Pressure) due to X₁ (age) is 0.075units, X₂ (weight) is -0.044units , X₃ (height) is 12.178 units. The estimation regression equation indicates that the mean of Y’s are expected to increase by 0.075 when X₁ increased by one unit holding X₂ and X₃ constant, the mean of Y’s are expected to decrease by 0.044 when X₂ increased by one unit holding X₁,X₃ constant , the mean of Y’s are expected to increase by 12.178 when X₃ increased by one holding X₁ and X₂ constant. The negative coefficient of X₂ indicates that blood pressure decreases as weight increases and vice versa. The F- test was used to examine the adequacy of the fitted model. The F- calculated (0.394) is not large enough for the rejection of the null hypothesis and that implies that the model is significant and adequate for prediction. The Variance Inflation Factor (VIF) and tolerance values computed from the data were examined to determine the presence and severity of multicollinearity. The tolerance values are greater than 0.1 and simultaneously, the Variance Inflation factors are all below 15 which is an indication of no multicollinearity in the data. Based on the findings, people who are becoming taller with respect to age should watch their blood pressure as the blood pressure is found to increase with increase in height and age.

DOI: 10.7176/JHMN/95-09

Publication date: November 30^th 2021