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Factors Affecting Diabetes using Multiple Logistic Regression
Haikal Dzulkanain Bin Ibrahim
Supervisor: Puan Nor Azlida Binti Aleng@Mohamad
Bachelor of Science (Computational Mathematics)
School of Informatics and Applied Mathematics
The number of people with diabetes mellitus is increasing all over the world. Diabetes
mellitus was a disease that sufferred by the people when their glucose level in the body
were higher than normal glucose level. Normal glucose level were from 4.0 to 5.9
mmol/L(before meal) and under 7.8 mmol/L(at least 90 minutes after meals). In this
study, a multiple logistic regression model is used to fit the risk factors of diabetes. The
current study aimed to analyze factors that can influence diabetes mellitus. The
independent variable in this study are age, height, weight, Body Mass Index(BMI),
gender, diastolic blood pressure, systolic blood pressure, and serum fasting glucose.
Statistical Package For The Social Sciences(SPSS) 24 is applied for describing and
interpreting the results.
929 | UMT UNDERGRADUATE RESEARCH DAY 2018