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Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019

BACKGROUND: Undernutrition is the main cause of morbidity and mortality of children aged under five and it is an important indicator of countries’ economic and health status. Limited attention is given to research papers conducted in Ethiopia that identified and estimates the determinants of under-f...

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Autores principales: Tesfaw, Lijalem Melie, Dessie, Zelalem G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966309/
https://www.ncbi.nlm.nih.gov/pubmed/35354391
http://dx.doi.org/10.1186/s12887-022-03172-x
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author Tesfaw, Lijalem Melie
Dessie, Zelalem G.
author_facet Tesfaw, Lijalem Melie
Dessie, Zelalem G.
author_sort Tesfaw, Lijalem Melie
collection PubMed
description BACKGROUND: Undernutrition is the main cause of morbidity and mortality of children aged under five and it is an important indicator of countries’ economic and health status. Limited attention is given to research papers conducted in Ethiopia that identified and estimates the determinants of under-five anthropometric indicators by considering their association and clustering effect. Therefore, this study aimed to identify and estimate the effects of important determinants of anthropometric indicators by taking into account their association and cluster effects. METHODS: In this study, a cross-sectional study design was implemented based on the data obtained from the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS) consists a total of 5027 under-five children. A multilevel multivariate logistic regression model was employed to estimate the effect of the determinants given their association of anthropometric indicators and clustering effect. RESULTS: Among 5027 children considered in the study 36.0, 23.3, and 9.1% of them were stunted, underweight, and wasted, respectively. Whereas the total number of undernourished (stunting, underweight and/or wasting) children was 42.9%. More than half of the children (51.2%) were males and 77.0% lived in rural area. The estimated odds of children from households with secondary and above education levels being stunted was 0.496 (OR = 0.496) times the estimated odds of children from households with no education. Whereas children from the richest households were less likely to be stunted as compared to children from the poorest households (OR = 0.485). The estimated odds of children from urban areas being underweight and wasting were lower by 24.9 and 33.7% of estimated odds of children from rural areas respectively. CONCLUSION: The prevalence of anthropometric indicators of stunting, underweight, and wasting in Ethiopia was increased. The children underweight has significant dependency with both stunting and wasting. The sex of the child, wealth index, and education level of a household are the common important determinants of stunting, underweight and wasting. The undernourished status of children was more alike within the region and differences between regions.
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spelling pubmed-89663092022-03-31 Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019 Tesfaw, Lijalem Melie Dessie, Zelalem G. BMC Pediatr Research BACKGROUND: Undernutrition is the main cause of morbidity and mortality of children aged under five and it is an important indicator of countries’ economic and health status. Limited attention is given to research papers conducted in Ethiopia that identified and estimates the determinants of under-five anthropometric indicators by considering their association and clustering effect. Therefore, this study aimed to identify and estimate the effects of important determinants of anthropometric indicators by taking into account their association and cluster effects. METHODS: In this study, a cross-sectional study design was implemented based on the data obtained from the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS) consists a total of 5027 under-five children. A multilevel multivariate logistic regression model was employed to estimate the effect of the determinants given their association of anthropometric indicators and clustering effect. RESULTS: Among 5027 children considered in the study 36.0, 23.3, and 9.1% of them were stunted, underweight, and wasted, respectively. Whereas the total number of undernourished (stunting, underweight and/or wasting) children was 42.9%. More than half of the children (51.2%) were males and 77.0% lived in rural area. The estimated odds of children from households with secondary and above education levels being stunted was 0.496 (OR = 0.496) times the estimated odds of children from households with no education. Whereas children from the richest households were less likely to be stunted as compared to children from the poorest households (OR = 0.485). The estimated odds of children from urban areas being underweight and wasting were lower by 24.9 and 33.7% of estimated odds of children from rural areas respectively. CONCLUSION: The prevalence of anthropometric indicators of stunting, underweight, and wasting in Ethiopia was increased. The children underweight has significant dependency with both stunting and wasting. The sex of the child, wealth index, and education level of a household are the common important determinants of stunting, underweight and wasting. The undernourished status of children was more alike within the region and differences between regions. BioMed Central 2022-03-30 /pmc/articles/PMC8966309/ /pubmed/35354391 http://dx.doi.org/10.1186/s12887-022-03172-x 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
Tesfaw, Lijalem Melie
Dessie, Zelalem G.
Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019
title Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019
title_full Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019
title_fullStr Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019
title_full_unstemmed Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019
title_short Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019
title_sort multilevel multivariate analysis on the anthropometric indicators of under-five children in ethiopia: emdhs 2019
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966309/
https://www.ncbi.nlm.nih.gov/pubmed/35354391
http://dx.doi.org/10.1186/s12887-022-03172-x
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