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

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. OB...

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Autores principales: Yaya, Sanni, Anjorin, Seun, Okolie, Elvis Anyaehiechukwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535666/
https://www.ncbi.nlm.nih.gov/pubmed/36238218
http://dx.doi.org/10.1002/osp4.595
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author Yaya, Sanni
Anjorin, Seun
Okolie, Elvis Anyaehiechukwu
author_facet Yaya, Sanni
Anjorin, Seun
Okolie, Elvis Anyaehiechukwu
author_sort Yaya, Sanni
collection PubMed
description 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.
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spelling pubmed-95356662022-10-12 Obesity burden by socioeconomic measures between 2000 and 2018 among women in sub‐Saharan Africa: A cross‐sectional analysis of demographic and health surveys Yaya, Sanni Anjorin, Seun Okolie, Elvis Anyaehiechukwu Obes Sci Pract Original Articles 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. John Wiley and Sons Inc. 2022-02-15 /pmc/articles/PMC9535666/ /pubmed/36238218 http://dx.doi.org/10.1002/osp4.595 Text en © 2022 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Yaya, Sanni
Anjorin, Seun
Okolie, Elvis Anyaehiechukwu
Obesity burden by socioeconomic measures between 2000 and 2018 among women in sub‐Saharan Africa: A cross‐sectional analysis of demographic and health surveys
title Obesity burden by socioeconomic measures between 2000 and 2018 among women in sub‐Saharan Africa: A cross‐sectional analysis of demographic and health surveys
title_full Obesity burden by socioeconomic measures between 2000 and 2018 among women in sub‐Saharan Africa: A cross‐sectional analysis of demographic and health surveys
title_fullStr Obesity burden by socioeconomic measures between 2000 and 2018 among women in sub‐Saharan Africa: A cross‐sectional analysis of demographic and health surveys
title_full_unstemmed Obesity burden by socioeconomic measures between 2000 and 2018 among women in sub‐Saharan Africa: A cross‐sectional analysis of demographic and health surveys
title_short Obesity burden by socioeconomic measures between 2000 and 2018 among women in sub‐Saharan Africa: A cross‐sectional analysis of demographic and health surveys
title_sort obesity burden by socioeconomic measures between 2000 and 2018 among women in sub‐saharan africa: a cross‐sectional analysis of demographic and health surveys
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535666/
https://www.ncbi.nlm.nih.gov/pubmed/36238218
http://dx.doi.org/10.1002/osp4.595
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