Identifying Heterogeneity of Diabetics Mellitus Based on the Demographical and Clinical Characteristics

Abstract Background: Diabetes is a long-term disease, which characterised by high blood sugar and has risen as public health problem worldwide. It may prompt variety of serious illnesses, including stroke, kidney failure, heart attacks. In 2014, diabetes affected approximately 422 million people worldwide it expected to hit 642 in 2040. The aim this study analyse the effect demographical clinical characteristics for diabetics disease Bangladesh. Methods: This employs quantitative approach data analysis. First, we differences variables between diabetic patients controls independent two-sample t-test continuous Pearson Chi-square test categorical variables. Then, logistic regression (LR) identifies risk factors based on odds ratio (OR) adjusted (AOR). Results: results Chi square identify that factors: residence, wealth index, education, working status, smoking arm circumference, weight BMI group show statistically (p < 0.05) significant control group. And, LR model demonstrates 2 (“working status” “smoking status”) out 13 are Conclusions: We believe our analysis can help government take proper preparation tackle potentially unprecedented situations