Analysis of chronic diseases in Ghana using logistic regression

dc.contributor.authorKarim, Azumah
dc.date.accessioned2014-11-19T11:06:15Z
dc.date.accessioned2023-04-20T06:49:53Z
dc.date.available2014-11-19T11:06:15Z
dc.date.available2023-04-20T06:49:53Z
dc.date.issuedMay 29, 2014
dc.descriptionA 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.en_US
dc.description.abstractThe 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.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/6711
dc.language.isoenen_US
dc.titleAnalysis of chronic diseases in Ghana using logistic regressionen_US
dc.typeThesisen_US
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