Research Article | OPEN ACCESS
Models for Characterising Hypertensive and Non-Hypertensive Diabetic Patients: A Case Study of Komfoanokye Teaching Hospital-Kumasi, Ghana
1Kwasi Poku Asare, 2Olivia Poku Asare and 2Bashiru I. I. Saeed
1Department of Mathematics and Statistics
2Department of Laboratory Technology, Kumasi Polytechnic, Ghana
Research Journal of Mathematics and Statistics 2015 2:20-26
Received: October ‎29, ‎2014 | Accepted: ‎January ‎19, ‎2015 | Published: May 25, 2015
Abstract
This research study sought to model and predicts hypertensive status of diabetic patients. To this end, data on 260 diabetic patients at the Komfo Anokye Teaching Hospital’s Diabetic Centre in Ghana were collected using data extraction form. The majority (144) of the 260 diabetic patients representing about 55% were also hypertensive as against 116 (45%) who were not hypertensive. Frequency analysis also revealed female dominance as far as the two diagnoses (Diabetes with hypertension and diabetes without hypertension) were concerned. However, the percentage of females in diabetes with hypertension (77%) was greater than the percentage of females in diabetes without hypertension (67%). The minimum age of hypertensive diabetic patients was 30 years as against 11 years for those diagnosed as non-hypertensive diabetic. A logistic regression model was developed for assessing the risk associated with diabetic patients with hypertension. The analysis revealed that people who were suffering from the two medical conditions (diabetes with hypertension and diabetes without hypertension) differ when it comes to age, Body Mass Index (BMI), drinking (alcohol consumption) and gender. The odds ratios associated with the significant predictor variables are 1.396, 1.110, 1.718 and 0.532, respectively. However, there was no statistical significant difference between hypertensive diabetic patients and the non-hypertensive diabetic patients in terms of Blood Glucose Level (BGL), exercise and smoking using 0.10 level of significance. Finally, it was concluded that ageing and extra weight gained, drinking (alcohol consumption) and gender (i.e., being a female) are risk factors for developing hypertension in addition to diabetes. The model was good for prediction and has overall correct classification of 66.5%.
Keywords:
Diabetes, Ghana, hypertension, model, logistic regression analysis,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7505
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