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Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)

BACKGROUND: Leaving no one behind has been an important marker of the Sustainable Development Goals. Closing the gap in malnutrition between children of different backgrounds aligns well with the tenet of this international agenda. To this end, high-quality evidence of the magnitude and trends of so...

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Autores principales: Wogderes, Bashaw, Shibre, Gebretsadik, Zegeye, Betregiorgis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006604/
https://www.ncbi.nlm.nih.gov/pubmed/35413912
http://dx.doi.org/10.1186/s12889-022-13145-5
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author Wogderes, Bashaw
Shibre, Gebretsadik
Zegeye, Betregiorgis
author_facet Wogderes, Bashaw
Shibre, Gebretsadik
Zegeye, Betregiorgis
author_sort Wogderes, Bashaw
collection PubMed
description BACKGROUND: Leaving no one behind has been an important marker of the Sustainable Development Goals. Closing the gap in malnutrition between children of different backgrounds aligns well with the tenet of this international agenda. To this end, high-quality evidence of the magnitude and trends of socioeconomic and geographic related existing inequalities in the childhood stunting among Sudanese children emanate from this study help for policy maker and planners to design and implement effective interventions to narrow down inequality. METHODS: We used the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) for our analysis of stunting inequality. Following standard equity analysis methods recommended by the WHO, we performed the disaggregated analysis of stunting across five equity stratifiers: Wealth, education, residence, sex, and sub-national regions. Then, we summarized stunting inequality through four measures of inequality: Difference, Ratio, Slope Index of Inequality (SII), and Relative Index of Inequality (RII). The point estimates of stunting were accompanied by 95% confidence intervals to measure the statistical significance of the findings. RESULTS: In this study, the national average childhood stunting prevalence was increased by 4% from 2010 to 2014. The findings revealed stark inequalities in stunting in all the studied dimensions of inequality. Huge inequality has existed along the wealth quintiles. Simple difference measure for education was increased by four points and simple relative measure decreased by one point for economic status. CONCLUSIONS: Sex, residence and, geographically related inequalities remain unchanged over time, while economic status and educational inequality had seen a change by some inequality measures over the same time period.
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spelling pubmed-90066042022-04-14 Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014) Wogderes, Bashaw Shibre, Gebretsadik Zegeye, Betregiorgis BMC Public Health Research BACKGROUND: Leaving no one behind has been an important marker of the Sustainable Development Goals. Closing the gap in malnutrition between children of different backgrounds aligns well with the tenet of this international agenda. To this end, high-quality evidence of the magnitude and trends of socioeconomic and geographic related existing inequalities in the childhood stunting among Sudanese children emanate from this study help for policy maker and planners to design and implement effective interventions to narrow down inequality. METHODS: We used the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) for our analysis of stunting inequality. Following standard equity analysis methods recommended by the WHO, we performed the disaggregated analysis of stunting across five equity stratifiers: Wealth, education, residence, sex, and sub-national regions. Then, we summarized stunting inequality through four measures of inequality: Difference, Ratio, Slope Index of Inequality (SII), and Relative Index of Inequality (RII). The point estimates of stunting were accompanied by 95% confidence intervals to measure the statistical significance of the findings. RESULTS: In this study, the national average childhood stunting prevalence was increased by 4% from 2010 to 2014. The findings revealed stark inequalities in stunting in all the studied dimensions of inequality. Huge inequality has existed along the wealth quintiles. Simple difference measure for education was increased by four points and simple relative measure decreased by one point for economic status. CONCLUSIONS: Sex, residence and, geographically related inequalities remain unchanged over time, while economic status and educational inequality had seen a change by some inequality measures over the same time period. BioMed Central 2022-04-12 /pmc/articles/PMC9006604/ /pubmed/35413912 http://dx.doi.org/10.1186/s12889-022-13145-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wogderes, Bashaw
Shibre, Gebretsadik
Zegeye, Betregiorgis
Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)
title Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)
title_full Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)
title_fullStr Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)
title_full_unstemmed Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)
title_short Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)
title_sort inequalities in childhood stunting: evidence from sudan multiple indicator cluster surveys (2010–2014)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006604/
https://www.ncbi.nlm.nih.gov/pubmed/35413912
http://dx.doi.org/10.1186/s12889-022-13145-5
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