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Analysis of chronic diseases in Ghana using logistic regression

A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fufillment of the requirement for the degree of M.Phil Mathematical Statistics.

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Main Author: Karim, Azumah
Format: Thesis
Language:English
Published: 2014
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access_status_str Open Access
author Karim, Azumah
author_browse Karim, Azumah
author_facet Karim, Azumah
author_sort Karim, Azumah
collection Thesis
description A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fufillment of the requirement for the degree of M.Phil Mathematical Statistics.
format Thesis
id oai:ir.knust.edu.gh:123456789/6711
institution KNUST (Ghana)
language English
last_indexed 2026-06-10T12:31:23.640Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2014
publishDateRange 2014
publishDateSort 2014
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source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/6711 Analysis of chronic diseases in Ghana using logistic regression Karim, Azumah A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fufillment of the requirement for the degree of M.Phil Mathematical Statistics. The impact of chronic diseases on the development of a nation cannot be overemphasized. The in uences of socio-demographic/socio-economic factors on chronic disease conditions in Ghana are not well comprehended. The main objective of this study is to examine the e ect of socio-demographic/socio-economic factors of Ghanaians on their chronic disease conditions. A longitudinal study with nationally representative samples was undertaken. The data employed in this study were drawn from the World Health Organization Global Ageing and Adult Health (SAGE), Wave 1, 2008-2009. The study suggested some level of chronic diseases in the Ghanaians populations. Asthma recorded the highest prevalence conditions with 3.4%, while Lung Disease recorded the least, 0.6 %. However, Depression, Oral health, and Injuries fairly recorded 1.4%, 2.5% and 1.8% respectively. In addition, the strength of the age category groups tends heavily towards adults, and particularly older adults respectively. Most of the respondents belong to the Christian faith. There is fairly even distribution among males and females respectively. More than half of respondents were engaged in self-employment. Majority of the respondent belongs to the Akan ethnic group. Also, widowed respondents contracted depression and oral health disease conditions. This paper revealed that, in Ghana, the occurrences of chronic disease conditions are associated with some socio-demographic/socio-economic factors: age, sex, religion, ethnicity, marital status, occupation, level of education, and income levels. KNUST 2014-11-19T11:06:15Z 2023-04-20T06:49:53Z 2014-11-19T11:06:15Z 2023-04-20T06:49:53Z May 29, 2014 Thesis https://ir.knust.edu.gh/handle/123456789/6711 en application/pdf
spellingShingle Karim, Azumah
Analysis of chronic diseases in Ghana using logistic regression
title Analysis of chronic diseases in Ghana using logistic regression
title_full Analysis of chronic diseases in Ghana using logistic regression
title_fullStr Analysis of chronic diseases in Ghana using logistic regression
title_full_unstemmed Analysis of chronic diseases in Ghana using logistic regression
title_short Analysis of chronic diseases in Ghana using logistic regression
title_sort analysis of chronic diseases in ghana using logistic regression
url https://ir.knust.edu.gh/handle/123456789/6711
work_keys_str_mv AT karimazumah analysisofchronicdiseasesinghanausinglogisticregression