Prevalence and Modelling of Complication of Diabetes and Its Risk Factors in District Dir Lower Khyber Pakhtunkhwa

Abstract

In this study prevalence of complication in type 2 diabetes and its associated factors are identified. Two stage cluster sampling method is used to select sample of diabetic patients from the District Dir Lower Khyber Pakhtunkhwa. Structure interview schedule is developed to capture necessary information from the selected patients. Binary logistic regression model is used to investigate risk factors of complication of diabetes. Moreover, 95% confidence interval (CI) for population proportion for each complication is calculated. Analysis revealed that major complication of diabetes are autonomic dysfunction (15%) and foot ulcer (11%). Further, 55% of diabetics have no complication. Also, major risk factors to the complication are obesity, lack of exercise, positive family history of diabetes and hypertension.