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Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey

BACKGROUND: Stunting or chronic undernutrition is a significant public health problem in Ethiopia. In 2019, 37% of Ethiopian children under-5 were stunted. Stunting results from a complex interaction of individual, household and social (environmental) factors. Improving the mother’s overall care is...

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Autores principales: Amaha, Nebyu Daniel, Woldeamanuel, Berhanu Teshome
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916293/
https://www.ncbi.nlm.nih.gov/pubmed/33639943
http://dx.doi.org/10.1186/s12937-021-00677-6
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author Amaha, Nebyu Daniel
Woldeamanuel, Berhanu Teshome
author_facet Amaha, Nebyu Daniel
Woldeamanuel, Berhanu Teshome
author_sort Amaha, Nebyu Daniel
collection PubMed
description BACKGROUND: Stunting or chronic undernutrition is a significant public health problem in Ethiopia. In 2019, 37% of Ethiopian children under-5 were stunted. Stunting results from a complex interaction of individual, household and social (environmental) factors. Improving the mother’s overall care is the most important determinant in reducing the stunting levels in developing countries. We aimed to determine the most important maternal factors associated with stunting and quantify their effects. METHODS: This study used data from the nationally representative 2016 Ethiopian Demographic Health Survey (EDHS). Common maternal factors were first selected and analyzed using Pearson’s chi-square of association followed by multiple logistic regression. To quantify the effect of a unit change of a predictor variable a model for the continuous maternal factors was developed. All analyses were carried out using IBM SPSS© Version 23. RESULTS: Higher maternal educational level, better maternal autonomy, average or above maternal height and weight, having at least 4 antenatal care (ANC) clinic visits, and delivering in a health facility were significantly associated with lower severe stunting levels. Unemployed mothers were 23% less likely (p = 0.003) to have a stunted child compared with employed mothers. Mothers delivering at home had 32% higher odds of stunting (p = 0.002). We found that short mothers (< 150 cm) were 2.5 more likely to have stunted children when compared with mothers above 160 cm. Every visit to the ANC clinic reduces stunting odds by 6.8% (p <  0.0001). The odds of stunting were reduced by 7% (p = 0.028) for every grade a girl spent in school. A unit increase in Body Mass Index (BMI) reduced the odds of stunting by 4% (p = 0.014) and every centimeter increase in maternal height reduced the odds of stunting by 0.5% (p = 0.01). CONCLUSION: Maternal education, number of antenatal care visits, and place of delivery appear to be the most important predictors of child stunting in Ethiopia.. Therefore, educating and empowering women, improving access to family planning and ANC services, and addressing maternal malnutrition are important factors that should be included in policies aiming to reduce childhood stunting in Ethiopia.
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spelling pubmed-79162932021-03-02 Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey Amaha, Nebyu Daniel Woldeamanuel, Berhanu Teshome Nutr J Research BACKGROUND: Stunting or chronic undernutrition is a significant public health problem in Ethiopia. In 2019, 37% of Ethiopian children under-5 were stunted. Stunting results from a complex interaction of individual, household and social (environmental) factors. Improving the mother’s overall care is the most important determinant in reducing the stunting levels in developing countries. We aimed to determine the most important maternal factors associated with stunting and quantify their effects. METHODS: This study used data from the nationally representative 2016 Ethiopian Demographic Health Survey (EDHS). Common maternal factors were first selected and analyzed using Pearson’s chi-square of association followed by multiple logistic regression. To quantify the effect of a unit change of a predictor variable a model for the continuous maternal factors was developed. All analyses were carried out using IBM SPSS© Version 23. RESULTS: Higher maternal educational level, better maternal autonomy, average or above maternal height and weight, having at least 4 antenatal care (ANC) clinic visits, and delivering in a health facility were significantly associated with lower severe stunting levels. Unemployed mothers were 23% less likely (p = 0.003) to have a stunted child compared with employed mothers. Mothers delivering at home had 32% higher odds of stunting (p = 0.002). We found that short mothers (< 150 cm) were 2.5 more likely to have stunted children when compared with mothers above 160 cm. Every visit to the ANC clinic reduces stunting odds by 6.8% (p <  0.0001). The odds of stunting were reduced by 7% (p = 0.028) for every grade a girl spent in school. A unit increase in Body Mass Index (BMI) reduced the odds of stunting by 4% (p = 0.014) and every centimeter increase in maternal height reduced the odds of stunting by 0.5% (p = 0.01). CONCLUSION: Maternal education, number of antenatal care visits, and place of delivery appear to be the most important predictors of child stunting in Ethiopia.. Therefore, educating and empowering women, improving access to family planning and ANC services, and addressing maternal malnutrition are important factors that should be included in policies aiming to reduce childhood stunting in Ethiopia. BioMed Central 2021-02-27 /pmc/articles/PMC7916293/ /pubmed/33639943 http://dx.doi.org/10.1186/s12937-021-00677-6 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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
Amaha, Nebyu Daniel
Woldeamanuel, Berhanu Teshome
Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey
title Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey
title_full Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey
title_fullStr Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey
title_full_unstemmed Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey
title_short Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey
title_sort maternal factors associated with moderate and severe stunting in ethiopian children: analysis of some environmental factors based on 2016 demographic health survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916293/
https://www.ncbi.nlm.nih.gov/pubmed/33639943
http://dx.doi.org/10.1186/s12937-021-00677-6
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