Evidence map›Paper›PMID 36238218›Full record

ArticleObesity science & practice2022

Obesity burden by socioeconomic measures between 2000 and 2018 among women in sub-Saharan Africa: A cross-sectional analysis of demographic and health surveys.

Sanni Yaya, Seun Anjorin, Elvis Anyaehiechukwu Okolie

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Article in Obesity science & practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sanni YayaSchool of International Development and Global Studies University of Ottawa Ottawa Canada.ORCID https://orcid.org/0000-0002-4876-6043
Seun AnjorinWarwick Centre for Global Health, Division of Health Sciences, Warwick Medical School University of Warwick Coventry UK.ORCID https://orcid.org/0000-0003-0187-6410
Elvis Anyaehiechukwu OkolieSchool of Health and Life Sciences Teesside University Middlesbrough UK.ORCID https://orcid.org/0000-0003-2283-8077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increasing global burden of obesity especially in low-and-middle-income countries (LMICs) accentuates the need for critical action. In the absence of evidence-based approaches to mitigate recent obesity trends, the likelihood of reaching global obesity targets will be almost zero. Objective: This study examined the obesity prevalence in Sub-Sahara Africa and observed transitions on the burden of obesity prevalence over time. Methods: Data from the Demographic and Health Survey which is based on cross sessional design was used. Most recent surveys carried out in 16 sub-Saharan Africa (SSA) between 2000 and 2018 were included in the analysis. Equiplot by the International Centre for Equity was used to display the inequities by the following socioeconomic measures: wealth index, education, and place of residence. Age-standardized prevalence was measured across these socioeconomic measures using the WHO standard population age distribution, examined changing trends and finally assessed transition in obesity prevalence by percentage point difference of highest and lowest prevalence within each of the three socioeconomic measures. Results: A total of 496,482 women were included in the analysis. Obesity prevalence among women varied substantially, from 2% in Chad to 27% in Lesotho. Variation in obesity prevalence was observed across countries and by socioeconomic status measures. Among women in all the countries except Comoros, the burden was concentrated among the wealthiest. Out of the 16 countries included, the prevalence of obesity was concentrated among women with no education in eight countries (Benin, Burundi, Chad, Cote d'Ivoire, Guinea, Mali, Niger, Comoros) while it was concentrated in those with primary education in Congo and Lesotho and among those with secondary school education in DR Congo, Gabon, Namibia, Nigeria, and Zimbabwe. The burden of obesity was more concentrated in the urban across the 16 countries except in Comoros and Lesotho where they were higher in the rural (8.9 [7.2, 11.1] and 15.1 [13.0, 17.5] respectively) than in urban (6.6 [5.0, 8.8] and 6.8 [5.2, 8.8] respectively). Finally, the trend analysis with five countries indicated that the prevalence and gap in obesity among women increased between previous and most recent surveys except in Zimbabwe where it reduces across the three socioeconomic measures between 2011 and 2018. Conclusions: This study examined transition in obesity prevalence among women across three socioeconomic measures in selected sub-Saharan African countries. Increasing prevalence of obesity was found in SSA but transition to women in lower socioeconomic status is already taking place in some countries.

Indexed as

Age‐standardized prevalenceObesitySocioeconomic measureSub‐Saharan Africa

Identifiers

PMID36238218
PMCPMC9535666

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.