Logistic regression analysis of factors associated with hypertension prevalence case study: Komfo Anokye Teaching Hospital (KATH), Kumasi, Ghana

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October 23, 2015
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Abstract
Hypertension is one of the most important chronic non communicable diseases with increasing trend worldwide. According to Owusu et al (2012), hypertension topped the chart of cardiovascular risk pro le in Kumasi Metropolis. This study therefore examines the factors associated with hypertension prevalence in Kumasi Metropolis. The study employed binary logistic regression model based on 2013 data from cardiac clinic of the Komfo Anokye Teaching Hospital (KATH) Kumasi Ghana. The sample size used for this study was 300 patients who visited cardiac clinic of the Komfo Anokye Teaching Hospital (KATH) Kumasi in 2013. The study found out that educational attainment, alcohol intake, gender, age, BMI, family history and religious affiliation were significant in explaining hypertension prevalence in Komfo Anokye Teaching Hospital (KATH), Kumasi, Ghana with these probabilities; 0.196(Primary), 0.1073(Tertiary), 0.1189, 0.0045, 0.4465, 0.147, 0.033 and 0.0612 respectively. This study recommended that Ghana health Service should intensify it education on the consequence of obesity and how to reduce weight. Also, Ghana Food and Drugs Board should regulate the rate at which alcoholic drinks are being advertised on our media and also use the media to educate the general public the side effects of alcoholic drinks. Last but not the least, there should be mass health education on the dangers, prevention and control of hypertension.
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A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Science in Industrial Mathematics.
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