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Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis
INTRODUCTION: Undernutrition is a serious global health issue, and stunting is a key indicator of children's nutritional status which results from long-term deprivation of basic needs. Ethiopia, the largest and most populous country in Sub-Saharan Africa, has the greatest rate of stunting among...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254552/ https://www.ncbi.nlm.nih.gov/pubmed/35790980 http://dx.doi.org/10.1186/s41043-022-00309-7 |
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author | Seboka, Binyam Tariku Hailegebreal, Samuel Mamo, Tizalegn Tesfaye Yehualashet, Delelegn Emwodew Gilano, Girma Kabthymer, Robel Hussen Ewune, Helen Ali Kassa, Reta Debisa, Mary Abera Yawo, Mulugeta Namaro Endashaw, Habtamu Demeke, Abel Desalegn Tesfa, Getanew Aschalew |
author_facet | Seboka, Binyam Tariku Hailegebreal, Samuel Mamo, Tizalegn Tesfaye Yehualashet, Delelegn Emwodew Gilano, Girma Kabthymer, Robel Hussen Ewune, Helen Ali Kassa, Reta Debisa, Mary Abera Yawo, Mulugeta Namaro Endashaw, Habtamu Demeke, Abel Desalegn Tesfa, Getanew Aschalew |
author_sort | Seboka, Binyam Tariku |
collection | PubMed |
description | INTRODUCTION: Undernutrition is a serious global health issue, and stunting is a key indicator of children's nutritional status which results from long-term deprivation of basic needs. Ethiopia, the largest and most populous country in Sub-Saharan Africa, has the greatest rate of stunting among children under the age of five, yet the problem is unevenly distributed across the country. Thus, we investigate spatial heterogeneity and explore spatial projection of stunting among under-five children. Further, spatial predictors of stunting were assessed using geospatial regression models. METHODS: The Ethiopia Demographic and Health Surveys (EDHS) data from 2011, 2016, and 2019 were examined using a geostatistical technique that took into account spatial autocorrelation. Ordinary kriging was used to interpolate stunting data, and Kulldorff spatial scan statistics were used to identify spatial clusters with high and low stunting prevalence. In spatial regression modeling, the ordinary least square (OLS) model was employed to investigate spatial predictors of stunting and to examine local spatial variations geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models were employed. RESULTS: Overall, stunting prevalence was decreased from 44.42% [95%, CI: 0.425–0.444] in 2011 to 36.77% [95%, CI: 0.349–0.375] in 2019. Across three waves of EDHS, clusters with a high prevalence of stunting in children under 5 years were consistently observed in northern Ethiopia stretching in Tigray, Amhara, Afar, and Benishangul-Gumuz. Another area of very high stunting incidence was observed in the Southern parts of Ethiopia and the Somali region of Ethiopia. Our spatial regression analysis revealed that the observed geographical variation of under-five stunting significantly correlated with poor sanitation, poor wealth index, inadequate diet, residency, and mothers' education. CONCLUSIONS: In Ethiopia, substantial progress has been made in decreasing stunting among children under the age of 5 years; although disparities varied in some areas and districts between surveys, the pattern generally remained constant over time. These findings suggest a need for region and district-specific policies where priority should be given to children in areas where most likely to exhibit high-risk stunting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41043-022-00309-7. |
format | Online Article Text |
id | pubmed-9254552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92545522022-07-06 Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis Seboka, Binyam Tariku Hailegebreal, Samuel Mamo, Tizalegn Tesfaye Yehualashet, Delelegn Emwodew Gilano, Girma Kabthymer, Robel Hussen Ewune, Helen Ali Kassa, Reta Debisa, Mary Abera Yawo, Mulugeta Namaro Endashaw, Habtamu Demeke, Abel Desalegn Tesfa, Getanew Aschalew J Health Popul Nutr Research INTRODUCTION: Undernutrition is a serious global health issue, and stunting is a key indicator of children's nutritional status which results from long-term deprivation of basic needs. Ethiopia, the largest and most populous country in Sub-Saharan Africa, has the greatest rate of stunting among children under the age of five, yet the problem is unevenly distributed across the country. Thus, we investigate spatial heterogeneity and explore spatial projection of stunting among under-five children. Further, spatial predictors of stunting were assessed using geospatial regression models. METHODS: The Ethiopia Demographic and Health Surveys (EDHS) data from 2011, 2016, and 2019 were examined using a geostatistical technique that took into account spatial autocorrelation. Ordinary kriging was used to interpolate stunting data, and Kulldorff spatial scan statistics were used to identify spatial clusters with high and low stunting prevalence. In spatial regression modeling, the ordinary least square (OLS) model was employed to investigate spatial predictors of stunting and to examine local spatial variations geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models were employed. RESULTS: Overall, stunting prevalence was decreased from 44.42% [95%, CI: 0.425–0.444] in 2011 to 36.77% [95%, CI: 0.349–0.375] in 2019. Across three waves of EDHS, clusters with a high prevalence of stunting in children under 5 years were consistently observed in northern Ethiopia stretching in Tigray, Amhara, Afar, and Benishangul-Gumuz. Another area of very high stunting incidence was observed in the Southern parts of Ethiopia and the Somali region of Ethiopia. Our spatial regression analysis revealed that the observed geographical variation of under-five stunting significantly correlated with poor sanitation, poor wealth index, inadequate diet, residency, and mothers' education. CONCLUSIONS: In Ethiopia, substantial progress has been made in decreasing stunting among children under the age of 5 years; although disparities varied in some areas and districts between surveys, the pattern generally remained constant over time. These findings suggest a need for region and district-specific policies where priority should be given to children in areas where most likely to exhibit high-risk stunting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41043-022-00309-7. BioMed Central 2022-07-05 /pmc/articles/PMC9254552/ /pubmed/35790980 http://dx.doi.org/10.1186/s41043-022-00309-7 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 Seboka, Binyam Tariku Hailegebreal, Samuel Mamo, Tizalegn Tesfaye Yehualashet, Delelegn Emwodew Gilano, Girma Kabthymer, Robel Hussen Ewune, Helen Ali Kassa, Reta Debisa, Mary Abera Yawo, Mulugeta Namaro Endashaw, Habtamu Demeke, Abel Desalegn Tesfa, Getanew Aschalew Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis |
title | Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis |
title_full | Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis |
title_fullStr | Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis |
title_full_unstemmed | Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis |
title_short | Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis |
title_sort | spatial trends and projections of chronic malnutrition among children under 5 years of age in ethiopia from 2011 to 2019: a geographically weighted regression analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254552/ https://www.ncbi.nlm.nih.gov/pubmed/35790980 http://dx.doi.org/10.1186/s41043-022-00309-7 |
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