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Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data

BACKGROUND: Malnutrition is the main cause of illness and death in children under the age of five. It affects millions of children worldwide, putting their health and future in jeopardy. Therefore, this study aimed to identify and estimate the effects of important determinants of anthropometric indi...

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Autores principales: Asmare, Abebew Aklog, Agmas, Yitateku Adugna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329319/
https://www.ncbi.nlm.nih.gov/pubmed/37420303
http://dx.doi.org/10.1186/s40795-023-00741-w
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author Asmare, Abebew Aklog
Agmas, Yitateku Adugna
author_facet Asmare, Abebew Aklog
Agmas, Yitateku Adugna
author_sort Asmare, Abebew Aklog
collection PubMed
description BACKGROUND: Malnutrition is the main cause of illness and death in children under the age of five. It affects millions of children worldwide, putting their health and future in jeopardy. 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. METHOD: The study was carried out in 10 countries in East Africa: Burundi, Ethiopia, Comoros, Uganda, Rwanda, Tanzania, Zimbabwe, Kenya, Zambia, and Malawi. A weighted total sample of 53,322 children under the age of five was included. Given the impact of other predictors such as maternal, child, and socioeconomic variables, a multilevel multivariate binary logistic regression model was employed to analyze the relationship between stunting, wasting, and underweight. RESULT: The study included 53,322 children, and 34.7%, 14.8%, and 5.1% were stunted, underweight, and wasted, respectively. Almost half of the children (49.8%) were female, and 22.0% lived in urban areas. The estimated odds of children from secondary and higher education mothers being stunted and wasted were 0.987; 95% CI: 0.979 – 0.994 and 0.999; 95% CI: 0.995 – 0.999, respectively, times the estimated odds of children from no education mothers. Children from middle-class families were less likely to be underweight than children from poorer families. CONCLUSION: The prevalence of stunting was higher than in the sub-Saharan Africa region, but the prevalence of wasting and underweight was lower. According to the study's findings, undernourishment among young children under the age of five continues to be a significant public health issue in the East African region. Governmental and non-governmental organizations should therefore plan public health participation focusing on paternal education and the poorest households in order to improve the undernutrition status of children under five. Additionally, improving the delivery of healthcare at health facilities, places of residence, children's health education, and drinking water sources are essential for lowering child undernutrition indicators.
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spelling pubmed-103293192023-07-09 Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data Asmare, Abebew Aklog Agmas, Yitateku Adugna BMC Nutr Research BACKGROUND: Malnutrition is the main cause of illness and death in children under the age of five. It affects millions of children worldwide, putting their health and future in jeopardy. 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. METHOD: The study was carried out in 10 countries in East Africa: Burundi, Ethiopia, Comoros, Uganda, Rwanda, Tanzania, Zimbabwe, Kenya, Zambia, and Malawi. A weighted total sample of 53,322 children under the age of five was included. Given the impact of other predictors such as maternal, child, and socioeconomic variables, a multilevel multivariate binary logistic regression model was employed to analyze the relationship between stunting, wasting, and underweight. RESULT: The study included 53,322 children, and 34.7%, 14.8%, and 5.1% were stunted, underweight, and wasted, respectively. Almost half of the children (49.8%) were female, and 22.0% lived in urban areas. The estimated odds of children from secondary and higher education mothers being stunted and wasted were 0.987; 95% CI: 0.979 – 0.994 and 0.999; 95% CI: 0.995 – 0.999, respectively, times the estimated odds of children from no education mothers. Children from middle-class families were less likely to be underweight than children from poorer families. CONCLUSION: The prevalence of stunting was higher than in the sub-Saharan Africa region, but the prevalence of wasting and underweight was lower. According to the study's findings, undernourishment among young children under the age of five continues to be a significant public health issue in the East African region. Governmental and non-governmental organizations should therefore plan public health participation focusing on paternal education and the poorest households in order to improve the undernutrition status of children under five. Additionally, improving the delivery of healthcare at health facilities, places of residence, children's health education, and drinking water sources are essential for lowering child undernutrition indicators. BioMed Central 2023-07-07 /pmc/articles/PMC10329319/ /pubmed/37420303 http://dx.doi.org/10.1186/s40795-023-00741-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Asmare, Abebew Aklog
Agmas, Yitateku Adugna
Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data
title Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data
title_full Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data
title_fullStr Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data
title_full_unstemmed Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data
title_short Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data
title_sort multilevel multivariate modeling on the association between undernutrition indices of under-five children in east africa countries: evidence from recent demographic health survey (dhs) data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329319/
https://www.ncbi.nlm.nih.gov/pubmed/37420303
http://dx.doi.org/10.1186/s40795-023-00741-w
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