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

DOI: https://doi.org/10.24086/cuesj.v6n1y2022.pp7-11
Keywords: Binary logistic regression, diabetes, glycated hemoglobin, HbA1c, risk factors of diabetes

Abstract

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.

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Author Biographies

Nozad H Mahmood, Department of Business Administration, Cihan University Sulaimanyia, Kurdistan Region, Iraq

I was awarded a B.Sc. in statistics from the University of Salahaddin in 2003. I also received my master’s degree in statistical computing in 2013 from the University of Central Florida (UCF) in the USA. My research interests are in Multivariate Statistics, High Dimensional Regression, Variable Selection, Design of Experiments, Statistical Computing, and Categorical Data Analysis.

Rebaz O. Yahya, Department of Business Administration, Cihan University-Erbil, Kurdistan Region, Iraq

I was awarded a B.Sc. in Statistics from the Salahaddin University-Erbil in 2010. I also received a M.Sc. degree in Mathematical Statistics at Salahaddin University-Erbil in 2016. I am an assistant Lecturer in the Department of Business Administration at Cihan University.

Saya J. Aziz, Department of Business Administration, Cihan University Sulaimanyia, Kurdistan Region, Iraq

I was awarded a (B.Sc.) of Computer and Statistics science at college of Commerce/ University of Sulaimani, Sulaimani-Iraq, 2006-2007. I also received a Master of Science (M.Sc.) Statistics at the College of Administration and Economic/ University of Sulaimani, Sulaimani-Iraq, 2012-2013. My research interests are in Regression, Time series, Design of Experiments, Statistical Computing, and Categorical Data Analysis, data mining.

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Published
2022-01-30
How to Cite
1.
Mahmood N, Yahya R, Aziz S. Apply Binary Logistic Regression Model to Recognize the Risk Factors of Diabetes through Measuring Glycated Hemoglobin Levels. cuesj [Internet]. 30Jan.2022 [cited 20Apr.2024];6(1):7-1. Available from: https://journals.cihanuniversity.edu.iq/index.php/cuesj/article/view/545
Issue
Vol 6 No 1 (2022)
Section
Research Article

Copyright (c) 2022 Nozad H Mahmood, Rebaz O. Yahya, Saya J. Aziz

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