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Understanding correlates of child stunting in Ethiopia using generalized linear mixed models

BACKGROUND: Stunting is an indicator of the devastating result of malnutrition in early childhood. The effects of childhood stunting are irreparable physical and cognitive harm. It is an issue of the great public health importance throughout Sub-Saharan African countries including Ethiopia. Therefor...

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Autores principales: Takele, Kasahun, Zewotir, Temesgen, Ndanguza, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532125/
https://www.ncbi.nlm.nih.gov/pubmed/31118013
http://dx.doi.org/10.1186/s12889-019-6984-x
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author Takele, Kasahun
Zewotir, Temesgen
Ndanguza, Denis
author_facet Takele, Kasahun
Zewotir, Temesgen
Ndanguza, Denis
author_sort Takele, Kasahun
collection PubMed
description BACKGROUND: Stunting is an indicator of the devastating result of malnutrition in early childhood. The effects of childhood stunting are irreparable physical and cognitive harm. It is an issue of the great public health importance throughout Sub-Saharan African countries including Ethiopia. Therefore, identification of the risk factors of child stunting from recent data is very important for timely intervention. METHODS: The 2016 Ethiopian Demographic and Health Survey data were used for this study. A generalized linear mixed model which is an extension of the general linear model was employed to identify socioeconomic, demographic, environmental and health related risk factors for stunted under-five children. RESULTS: The result shows that the age and sex of the child, preceding birth interval, mother’s body mass index, household wealth index, mother’s education level, breastfeeding period, type of toilet facility, use of internet and source of drinking water were the major determinants of stunting of under-five children in Ethiopia. CONCLUSION: The study indicated that children from undernourished mothers, who are not breastfeeding, from poor households, households that have no toilet facilities, who are male, older age (between 12 to 59 months), who have illiterate mother and short birth spacing were associated with stunting problems. Therefore, family planning education and policy is required for the country to improve on under-five age stunting problems.
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spelling pubmed-65321252019-05-28 Understanding correlates of child stunting in Ethiopia using generalized linear mixed models Takele, Kasahun Zewotir, Temesgen Ndanguza, Denis BMC Public Health Research Article BACKGROUND: Stunting is an indicator of the devastating result of malnutrition in early childhood. The effects of childhood stunting are irreparable physical and cognitive harm. It is an issue of the great public health importance throughout Sub-Saharan African countries including Ethiopia. Therefore, identification of the risk factors of child stunting from recent data is very important for timely intervention. METHODS: The 2016 Ethiopian Demographic and Health Survey data were used for this study. A generalized linear mixed model which is an extension of the general linear model was employed to identify socioeconomic, demographic, environmental and health related risk factors for stunted under-five children. RESULTS: The result shows that the age and sex of the child, preceding birth interval, mother’s body mass index, household wealth index, mother’s education level, breastfeeding period, type of toilet facility, use of internet and source of drinking water were the major determinants of stunting of under-five children in Ethiopia. CONCLUSION: The study indicated that children from undernourished mothers, who are not breastfeeding, from poor households, households that have no toilet facilities, who are male, older age (between 12 to 59 months), who have illiterate mother and short birth spacing were associated with stunting problems. Therefore, family planning education and policy is required for the country to improve on under-five age stunting problems. BioMed Central 2019-05-22 /pmc/articles/PMC6532125/ /pubmed/31118013 http://dx.doi.org/10.1186/s12889-019-6984-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Takele, Kasahun
Zewotir, Temesgen
Ndanguza, Denis
Understanding correlates of child stunting in Ethiopia using generalized linear mixed models
title Understanding correlates of child stunting in Ethiopia using generalized linear mixed models
title_full Understanding correlates of child stunting in Ethiopia using generalized linear mixed models
title_fullStr Understanding correlates of child stunting in Ethiopia using generalized linear mixed models
title_full_unstemmed Understanding correlates of child stunting in Ethiopia using generalized linear mixed models
title_short Understanding correlates of child stunting in Ethiopia using generalized linear mixed models
title_sort understanding correlates of child stunting in ethiopia using generalized linear mixed models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532125/
https://www.ncbi.nlm.nih.gov/pubmed/31118013
http://dx.doi.org/10.1186/s12889-019-6984-x
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