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The Risk Factors of Hypertension Using Multiple Logistic Regression
Nor Adibah Binti Abdullah
Supervisor: Nor Azlida Aleng@Mohamad
Bachelor of Science (Financial Mathematics)
School of Informatics and Applied Mathematics
In this era globalization, hypertension has been showed a sustained, consistent and
independent of heart disease that lead to cause of death. Hypertension is also known as
high blood pressure. High blood pressure is an increase of blood pressure in the artery.
The factors that cause hypertension should be known to prevent it. Therefore, this study
was run to determine the risk factors that may cause hypertension disease. A
hypertension model is built to test the interaction and significance between the factors.
A sample of 200 respondents has been taken to set up as data in this current study. The
factors that emphasized in this study were age, family background, gender, uses of
tobacco, consuming alcohol, unhealthy diet, physical condition and weight. In this study,
multiple logistic regression have been used and applied to analyze factors that can
influence hypertension disease. Logistic regression is the appropriate regression analysis
to run when the dependent variable is dichotomy (binary).The use of mathematical
software Statistical Package for the Social Science (SPSS) version 24 is applied in this
research as alternatives calculation procedures derived from the methodology.
841 | UMT UNDERGRADUATE RESEARCH DAY 2018