id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cuesj-545	Mahmood, Nozad H; Yahya, Rebaz O.; Aziz, Saya J.	Apply Binary Logistic Regression Model to Recognize the Risk Factors of Diabetes through Measuring Glycated Hemoglobin Levels	2022	5	.pdf	application/pdf	4066	214	60	~ABS:AT 7 http://journals.cihanuniversity.edu.iq/index.php/cuesj CUESJ 2022, 6 (1): 7-11 ReseaRch aRticle Apply Binary Logistic Regression Model to Recognize the Risk Factors of Diabetes through Measuring Glycated Hemoglobin Levels Nozad H. Mahmood1, Rebaz O. Yahya2, Saya J. Aziz1 1Department of Business Administration, Cihan University Sulaimaniya, Kurdistan Region, Iraq, 2Department of Business Administration, Cihan University-Erbil, Kurdistan Region, Iraq ABSTRACT This study aimed to identify the 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. Regression Model to Recognize Diabetes Risk Factors 11 http://journals.cihanuniversity.edu.iq/index.php/cuesj CUESJ 2022, 6 (1): 7-11 for gender, the females have more likely to have high level of diabetes than the males.	cache/cuesj-545.pdf	txt/cuesj-545.txt