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dc.contributor.authorAmugsi, D.A.
dc.contributor.authorDimbuene, Z.T.
dc.date.accessioned2024-06-25T08:28:09Z
dc.date.available2024-06-25T08:28:09Z
dc.date.issued2023
dc.identifier.uri10.1371/journal.pgph.0001442
dc.identifier.urihttps://pubmed.ncbi.nlm.nih.gov/36963076/
dc.identifier.urihttps://www.researchgate.net/publication/367382129_Effects_of_social_determinants_of_health_on_obesity_among_urban_women_of_reproductive_age
dc.identifier.urihttp://knowhub.aphrc.org/handle/123456789/1038
dc.description.abstractObesity is a major global public health problem. It is spreading very fast in low- and middle-income countries and has reached world record levels in some of them. In Ghana, it has increased by over 65% among urban women in the past three decades. This study investigated the effects of social determinants of health on obesity among women in urban Ghana. The study analyzed the Ghana demographic and health survey data. These are nationally representative data collective every five years across low- and middle-income countries. A total of 1,204 urban women were included in the analysis. Body mass index was the outcome variable of interest. We used logistic regression to model the effects of the various social determinants of health on obesity. The results showed that 40% (95% confidence interval (CI) = 25.4, 57.0) and 36.7% (95% CI = 25.6, 49.3) of women who had higher education and those whose partners had higher education suffered from obesity, respectively. Women living in rich households had a five times higher prevalence of obesity than those in poor households (28.8% vs 5.7%). Further, 33.4% (95% CI = 18.5, 19.3) of women who occupied managerial positions were obese. The results from the multivariable logistic regression analysis suggested that compared to women in poor households, those in rich households were 3.4 times (95% CI = 1.31, 8.97) more likely to suffer from obesity. Women whose main occupation was agriculture were 81% (aOR = 0.19; 95% CI = 0.034, 0.99) less likely to suffer from obesity compared to those with no occupation. The results suggest that the various social determinants of health (SDH) included in the analysis significantly influence obesity outcomes. Women and partner education levels, occupying a managerial position, and living in rich households increase the risk of obesity. Interventions to address the rising obesity in urban Ghana should have specific packages targeted at these sub-groups.
dc.publisherNational Library of Medicine
dc.publisherResearchGate
dc.subjectHealth
dc.subjectObesity
dc.subjectWomen
dc.subjectReproductive age
dc.titleEffects of Social Determinants of Health on Obesity Among Urban Women of Reproductive Age


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