ABSTRACT

Objective: Study objective is to find out the prevalance and risk factors of ischemic heart disease in Southern Punjab.

Methodology: Data was collected on data fact sheet through direct observations and parameters were noticed as per hospital record. Binary Logistic Regression was applied for statistical analysis of the data. The impact of demographic variables, Hypertension, Diabetes Mellitus and Renal Parameters on Ischemic Heart Disease with the use of logistic regression. Gender, Age, BMI and Smoker were taken as response or dependent variable and Hypertension, Diabetes Mellitus and Renal Parameters were taken as independent variable to determine the Impact of above mentioned demographic variables on “Ischemic Heart Disease”.

Results: This study contains patients of various age, gender, smoker, BMI and blood groups. The variable of DM, HTN, Urea and cereal have significant impact on Age. Gender show significant impact with DM. Smoker, BMI and blood group shows significant impacts on all variables.

Conclusion: A strong relation between active and passive smokers, increased in the risk of heart attack was observed. Middle age is associated with lower risk of heart failure. Increased body weight, hypertension, increasing age, diabetes mellitus and smoking are major factors contributing to ischemic heart diseases. While blood group and gender are independent factors ischemic diseases.

Key Words: Binary Logistic Regression, Ischemic Heart Disease, Risk factors.