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Logistics Regression Analysis of Risk Factors Associated with Hypertension in Kumasi Metropolis, Ghana
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Volume 3, 2015
Issue 6 (December)
Pages: 205-211   |   Vol. 3, No. 6, December 2015   |   Follow on         
Paper in PDF Downloads: 60   Since Nov. 3, 2015 Views: 2126   Since Nov. 3, 2015
Isaac Kofi Owusu, Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana; Department of Medicine, School of Medical Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Richard Kena Boadi, Department of Mathematics, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Alexander Afari-Kissi, Department of Mathematics, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Yaw Adu-Boakye, Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Hypertension is one of the most important chronic non-communicable diseases with increasing prevalence worldwide. The objective of this study was to develop a regression model of hypertension using binary logistic regression based on data from the cardiac clinic of the Komfo Anokye teaching hospital (KATH) Kumasi. Data from a total of 300 patients were studied. The demographic characteristics of the patients as well as the significant risk factors associated with hypertension were examined. The patients were aged between 17-88 years with a mean age (± standard deviation) of approximately 40 (±15.8) years. There were more females (60%) than males (40%). Educational level; primary education (19.6%), tertiary education (10.73%), alcohol intake (11.89%), sex (0.45%), age (44.65%), body mass index (BMI) (14.7%), family history of hypertension (3.3%) and Islamic religious affiliation (6.12%) were significantly associated with high probability of an individual developing hypertension in Kumasi metropolis. Conclusion: increasing age, female gender, family history of hypertension, increasing BMI, high alcohol intake and lower educational level were significantly associated with high probability of an individual developing hypertension in Kumasi metropolis.
Hypertension, Significant Risk Factors of Hypertension, Body Mass Index, Marginal Effect, Binary Logistic Regression
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