Apply Binary Logistic Regression Model to Recognize the Risk Factors of Diabetes through Measuring Glycated Hemoglobin Levels

This study aimed to identify diabetes risk factors in the Kurdistan Region of Iraq and explain why is rapidly spreading there, which examined some sociodemographic characteristics that might affect type 2 such as age, gender, alcohol consumption, smoking, family history, body weight. The data was collected from hospital named center Sulaymaniyah city Iraq, 218 diabetic cases were used for purpose. According findings, influence diabetes, Gender, Smoking, Body Weight. For Females are more likely have than males. Also, someone smokes those who do not smoke. Furthermore, with increasing each kilogram weight, degree increases well. On other hand, regarding results, Age, Consumption Alcoholic, Diabetes Family History diabetes. Depending on it recommended people engage regular physical activity consume nutritious foods minimize weight gain, one primary causes well they should quit smoking.