Tobacco consumption and non-communicable diseases in Ghana; Identifying accentuating factors and further evidence from 2014 Ghana demographic and health survey

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dc.contributor.authorBrenyah Kwasi Joseph
dc.contributor.authorNonvignon Justice
dc.contributor.authorOwusu-Dabo Ellis
dc.contributor.authorSingh Arti
dc.date.accessioned2023-12-05T16:33:42Z
dc.date.available2023-12-05T16:33:42Z
dc.date.issued2023
dc.descriptionThis article is published by Elsevier and is also available at 10.1016/j.sciaf.2023.e01665
dc.description.abstractBackground: Non-communicable diseases such as hypertension, diabetes, strokes, cancers and chronic kidney conditions have caused disabilities and negatively impacted on eco nomic development. While greater efforts of controlling these non-communicable diseases are clinically motivated, the non-clinical factors such as behavioural lifestyle and the as sociated accentuating factors have not been given due attention. It has been established elsewhere that, tobacco use which is a risk factor for non-communicable diseases occur rence is influenced by individual’s residential status, educational status, occupational sta tus, income level and access to media projections. This study therefore sought to identify associations between accentuating factors and tobacco use and its implications for the oc currence of non-communicable diseases prevalent in Ghana. Methods: This was a mixed method study involving in part, use of secondary data from the Ghana Demographic and Health Survey 2014 with a sample of 4,122 respondents and primary qualitative interviews of 32 respondents respectively, from 4 Regions of Ghana. Descriptive statistics, probit regression and content thematic analysis were used for data analysis for both the quantitative and qualitative arms respectively. Results: The study found that, there was statistically significant association between ed ucational status and tobacco use [X2 (5, 4,123)=164.5619; p = 0.000], income levels and tobacco use [X2 (7, 4,123)=68.5615; p = 0.001), occupational status and tobacco use [X2 (8, 4,123)=195.6919; p = 0.000], residential status and tobacco [X2 (3, 4,134) = 82.7824; p = 0.000)] and finally, access to mass media and tobacco use [X2 (2, 4,134)= 1.2352, p = 0.009]. Again, the regression result shows that, the accentuating factors determine about 51% (50.579) of the tobacco use by individuals in the relation [R2 = 0.305, F(17, 4,077) = 50.579, p = 0.000]. Moreover, 62.4 percent of females were less likely to smoke
dc.description.sponsorshipKNUST
dc.identifier.citationScientific African 20 (2023) e01665
dc.identifier.uri10.1016/j.sciaf.2023.e01665
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/14627
dc.language.isoen
dc.publisherELSEVIER
dc.titleTobacco consumption and non-communicable diseases in Ghana; Identifying accentuating factors and further evidence from 2014 Ghana demographic and health survey
dc.typeArticle
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