Background: Diabetes is a long-term disease, which is characterised by high blood sugar and has risen as a public health problem worldwide. It may prompt a variety of serious illnesses, including stroke, kidney failure, and heart attacks. In 2014, diabetes affected approximately 422 million people worldwide and it is expected to hit 642 million people in 2040. The aim of this study is to analyse the effect of demographical and clinical characteristics for diabetics disease in Bangladesh.

Methods: This study employs the quantitative approach for data analysis. First, we analyse differences in variables between diabetic patients and controls by independent two-sample t-test for continuous variables and Pearson Chi-square test for categorical variables. Then, logistic regression (LR) identifies the risk factors for diabetes disease based on the odds ratio (OR) and the adjusted odds ratio (AOR).

Results: The results of the t-test and Chi square test identify that the factors: residence, wealth index, education, working status, smoking status, arm circumference, weight and BMI group show statistically (p < 0.05) significant differences between the diabetic group and the control group. And, LR model demonstrates that 2 factors ("working status" and "smoking status") out of 13 are the significant risk factors for diabetes disease in Bangladesh.

Conclusions: We believe that our analysis can help the government to take proper preparation to tackle the potentially unprecedented situations in Bangladesh.

Keywords: Diabetes detection, Quantitative analysis, Logistic regression, Significance p-value, Odds ratio, Adjusted odds ratio