A Study of Risk Factors Associated With Diadetes Using A Multiple Logistic Regression Modelling
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-5 |
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| Year of Publication : 2019 | ||
| Authors : Anthony K. Odior ,Felix Elugwu | ||
| DOI : 10.14445/22312803/IJCTT-V67I5P116 |
MLA Style:Anthony K. Odior ,Felix Elugwu"A Study of Risk Factors Associated With Diadetes Using A Multiple Logistic Regression Modelling" International Journal of Computer Trends and Technology 67.5 (2019): 95-98.
APA Style:Anthony K. Odior ,Felix Elugwu (2019). A Study of Risk Factors Associated With Diadetes Using A Multiple Logistic Regression Modelling International Journal of Computer Trends and Technology, 67(5), 95-98.
Abstract
This paper examined empirically the risk factors associated with a common human disorder termed diabetes. The study considers the age of patients (AOP), gender of patients (GOP), occupational status of patients (OSOP) as possible risk factors that occasioned the health challenge of diabetes. The study utilized secondary data captured through the record unit of Central Hospital, Sapele Delta -State. The fitted multiple logistic regression model using AOP, GOP, and OSOP as independent variables revealed that AOP and OSOP were statistically significant in model as influencing risk factors and are associated with a higher probability of causing the human disorder diabetes while GOP was statistically not significant in the model as a contributory risk factor under investigation. Also the estimated logistic regression parameters: ?0=-47.549, ?1=1.142, ?2=0.143 and ?3 =-1.208 respectively indicates that independent variables with higher positive value is associated with a higher probability of the risk factor in causing the disorder diabetes. Odd ratio analysis (ODA) revealed that patients of older age are highly susceptible to diabetic occurrence when compared with other risk factors.
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Keywords
Multiple logistic regressions, Diabetes, Risk factors, Independent variables, Dichotomous response variable, odd ratio.