Evidence map›Paper›PMID 38584291›Full record

ArticleTropical medicine and health2024

Residence-based inequalities in overweight/obesity in sub-Saharan Africa: a multivariate non-linear decomposition analysis.

Priscilla Atsu, Aliu Mohammed, Collins Adu, Richard Gyan Aboagye, Bright Opoku Ahinkorah, Abdul-Aziz Seidu

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Article in Tropical medicine and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
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3 · Its place in the literature

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14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Priscilla AtsuDepartment of Health Promotion, Education and Disability Studies, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Aliu MohammedDepartment of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana.
Collins AduCentre for Social Research in Health, University of New South Wales, Sydney, NSW, Australia.
Richard Gyan AboagyeSchool of Population Health, University of New South Wales, Sydney, NSW 2052, Australia. raboagye18@sph.uhas.edu.gh.ORCID http://orcid.org/0000-0002-3498-2909
Bright Opoku AhinkorahSchool of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia.
Abdul-Aziz SeiduREMS Consultancy Services, Sekondi-Takoradi, Western Region, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverweight/obesity remains a major risk factor for non-communicable diseases and their associated morbidities and mortalities. Yet, limited studies have comprehensively examined factors contributing to the rural-urban disparities in overweight/obesity among women in sub-Saharan Africa. Thus, our study sought to decompose the rural-urban disparities in overweight/obesity among women in sub-Saharan Africa (SSA) using nationally representative datasets.

methodsWe performed a cross-sectional analysis of data from the Demographic and Health Surveys of 23 sub-Saharan African countries conducted from 2015 to 2022. A sample of 177,329 women was included in the analysis. Percentages with confidence intervals (CIs) were used to summarize the prevalence of overweight/obesity per rural-urban strata and pooled level. A multivariate non-linear decomposition analysis was used to identify the factors contributing to the rural-urban disparities in overweight/obesity. The results were presented using coefficients and percentages.

resultsThe pooled prevalence of overweight/obesity among the women was higher in urban areas (38.9%; 95% CI = 38.2-39.6) than rural areas (19.1%; 95% CI = 18.7-19.6). This pattern was observed in all the countries surveyed, except in South Africa, where women in rural areas (53.1%; 95% CI = 50.0-56.4) had a higher prevalence of overweight/obesity than those in urban areas (46.0%; 95% CI = 43.2-48.9). Approximately 54% of the rural-urban disparities in overweight/obesity was attributable to the differences in the women's characteristics or explanatory variables. More than half of the rural-urban disparities in overweight/obesity would be reduced if the disparities in women's characteristics were levelled. Among the women's characteristics, frequency of watching television (29.03%), wealth index (26.59%), and level of education (9.40%) explained approximately 65% of the rural-urban differences in overweight/obesity.

conclusionThe prevalence of overweight/obesity among women in SSA remains high and skewed towards women in urban areas. Increased frequency of watching television, high wealth index, and higher educational attainment contributed largely to the rural-urban disparities in overweight/obesity among women in SSA. Thus, interventions aimed at reducing overweight/obesity among women in SSA could be targeted at reducing the frequency of television watching as well as promoting physical activities among wealthy women and those with higher education, particularly in urban areas.

Indexed as

Body mass indexDemographic and Health SurveyGlobal healthSub-Saharan AfricaWomen

Identifiers

PMID38584291
PMCPMC10999097

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