Open AccessApply Binary Logistic Regression Model to Recognize the Risk Factors of Diabetes through Measuring Glycated Hemoglobin Levels
Author(s) -
Nozad H. Mahmood,
Rebaz Othman Yahya,
Saya J. Aziz
Publication year - 2022
Publication title -
cihan university-erbil scientific journal
Language(s) - English
Resource type - Journals
eISSN - 2707-6377
pISSN - 2519-6979
DOI - 10.24086/cuesj.v6n1y2022.pp7-11
Subject(s) - diabetes mellitus , type 2 diabetes , family history , medicine , glycated hemoglobin , logistic regression , affect (linguistics) , environmental health , demography , body mass index , risk factor , endocrinology , psychology , communication , sociology
This study aimed to identify diabetes risk factors in the Kurdistan Region of Iraq and explain why diabetes is rapidly spreading there, which examined some sociodemographic characteristics factors that might affect type 2 diabetes such as age, gender, alcohol consumption, and smoking, diabetes family history, and body weight. The data was collected from the hospital of diabetes named the center of diabetes in Sulaymaniyah city of Iraq, in which 218 diabetic cases were used for that purpose. According to the findings, some factors influence type 2 diabetes, such as Gender, Smoking, and Body Weight. For Gender, Females are more likely to have diabetes than males. Also, someone that smokes is more likely to have diabetes than those who do not smoke. Furthermore, with increasing each kilogram of body weight, the diabetes degree increases as well. On the other hand, regarding the results, some factors such as Age, Consumption of Alcoholic, and Diabetes Family History do not affect type 2 diabetes. Depending on the findings, it is recommended that people engage in regular physical activity and consume nutritious foods to minimize weight gain, which is one of the primary causes of diabetes as well as they should quit smoking.