A Statistical Study of Socio-economic and Physical Risk Factors of Myocardial Infarction

Abstract

A sample of 506 patients from various hospitals in Peshawar was examined to determine significant socio-economic and physical risk factors of Myocardial Infarction (heart attack). The factors examined were smoking (S), hypertension (H), cholesterol (C), diabetes (D), family history (F), residence (R), own a house (OH), number of dependents (ND), household income (I), obesity and lack of exercise (E). The response variable MI was binary. Therefore, logistic regression was applied (using GLIM and SPSS packages) to analyze the data and to select a parsimonious model. Logistic regression models have been obtained indicating significant risk factors for both sexes, for males and for females separately. The best-selected model for both sexes is of factors S, F, D, H and C. The best-selected model for males is of factors CIFH, S, H, D, C and F, while the best-selected model for females is of factors D, H, C and F.