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Determinants of anemia severity levels among children aged 6–59 months in Ethiopia: Multilevel Bayesian statistical approach
Anemia is a widespread public health problem that affects all stages of life particularly preschool children and pregnant mothers. Anemia among children had significant impact on their growth, development, school performance and mortality. Different strategies like deworming of young children, vitam...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011377/ https://www.ncbi.nlm.nih.gov/pubmed/36914676 http://dx.doi.org/10.1038/s41598-022-20381-7 |
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author | Alamneh, Tesfa Sewunet Melesse, Alemakef Wagnew Gelaye, Kassahun Alemu |
author_facet | Alamneh, Tesfa Sewunet Melesse, Alemakef Wagnew Gelaye, Kassahun Alemu |
author_sort | Alamneh, Tesfa Sewunet |
collection | PubMed |
description | Anemia is a widespread public health problem that affects all stages of life particularly preschool children and pregnant mothers. Anemia among children had significant impact on their growth, development, school performance and mortality. Different strategies like deworming of young children, vitamin A supplementation for children aged 6–59 months, and ferrous sulphate supplementation and provision of insecticide treated bed net for pregnant women were designed to control and prevent anemia. Also, previous studies on anemia factors were conducted but they were not considering the ordered nature of anemia. Therefore, this study aimed to identify the factors of anemia severity levels among children aged 6–59 months in Ethiopia by using ordinal analysis based on Bayesian hierarchical statistical approach. A secondary data analysis was conducted using the 2016 Ethiopian Demographic and Health Survey data. A total of 8483 weighted children were included. Due to the ordered nature of the anemia and nested nature of DHS data, ordinal logistic regression model based on hierarchical Bayesian statistical approach was employed to identify the determinants of anemia severity levels. In this study, moderate anemia level was found to be the commonest type which accounts around 29.4%. Female children, poorer, middle, and richest wealth index, primary maternal education and having ANC visit had lower risk of having higher order of anemia. Moderate maternal anemia and stunted children had higher chance of having higher order of anemia. Children age had significant different effect on mild and moderate anemia. Meanwhile, multiple birth/s and deworming had effect on moderate anemia. In addition, normal birth weight had also significant and different effect on mild and severe anemia and history of feverlike illness on mild anemia. The prevalence of anemia among children aged 6–59 months anemia was found to be a severe public health problem. Children age, sex, maternal education, child stunting, history of fever, multiple birth, birth weight, provision of deworming and maternal anemia was found to be the most important factors for child anemia severity levels. Therefore, intervention efforts to control and prevent anemia in Ethiopia requires targeting of these hindering factors. |
format | Online Article Text |
id | pubmed-10011377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100113772023-03-15 Determinants of anemia severity levels among children aged 6–59 months in Ethiopia: Multilevel Bayesian statistical approach Alamneh, Tesfa Sewunet Melesse, Alemakef Wagnew Gelaye, Kassahun Alemu Sci Rep Article Anemia is a widespread public health problem that affects all stages of life particularly preschool children and pregnant mothers. Anemia among children had significant impact on their growth, development, school performance and mortality. Different strategies like deworming of young children, vitamin A supplementation for children aged 6–59 months, and ferrous sulphate supplementation and provision of insecticide treated bed net for pregnant women were designed to control and prevent anemia. Also, previous studies on anemia factors were conducted but they were not considering the ordered nature of anemia. Therefore, this study aimed to identify the factors of anemia severity levels among children aged 6–59 months in Ethiopia by using ordinal analysis based on Bayesian hierarchical statistical approach. A secondary data analysis was conducted using the 2016 Ethiopian Demographic and Health Survey data. A total of 8483 weighted children were included. Due to the ordered nature of the anemia and nested nature of DHS data, ordinal logistic regression model based on hierarchical Bayesian statistical approach was employed to identify the determinants of anemia severity levels. In this study, moderate anemia level was found to be the commonest type which accounts around 29.4%. Female children, poorer, middle, and richest wealth index, primary maternal education and having ANC visit had lower risk of having higher order of anemia. Moderate maternal anemia and stunted children had higher chance of having higher order of anemia. Children age had significant different effect on mild and moderate anemia. Meanwhile, multiple birth/s and deworming had effect on moderate anemia. In addition, normal birth weight had also significant and different effect on mild and severe anemia and history of feverlike illness on mild anemia. The prevalence of anemia among children aged 6–59 months anemia was found to be a severe public health problem. Children age, sex, maternal education, child stunting, history of fever, multiple birth, birth weight, provision of deworming and maternal anemia was found to be the most important factors for child anemia severity levels. Therefore, intervention efforts to control and prevent anemia in Ethiopia requires targeting of these hindering factors. Nature Publishing Group UK 2023-03-13 /pmc/articles/PMC10011377/ /pubmed/36914676 http://dx.doi.org/10.1038/s41598-022-20381-7 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/) . |
spellingShingle | Article Alamneh, Tesfa Sewunet Melesse, Alemakef Wagnew Gelaye, Kassahun Alemu Determinants of anemia severity levels among children aged 6–59 months in Ethiopia: Multilevel Bayesian statistical approach |
title | Determinants of anemia severity levels among children aged 6–59 months in Ethiopia: Multilevel Bayesian statistical approach |
title_full | Determinants of anemia severity levels among children aged 6–59 months in Ethiopia: Multilevel Bayesian statistical approach |
title_fullStr | Determinants of anemia severity levels among children aged 6–59 months in Ethiopia: Multilevel Bayesian statistical approach |
title_full_unstemmed | Determinants of anemia severity levels among children aged 6–59 months in Ethiopia: Multilevel Bayesian statistical approach |
title_short | Determinants of anemia severity levels among children aged 6–59 months in Ethiopia: Multilevel Bayesian statistical approach |
title_sort | determinants of anemia severity levels among children aged 6–59 months in ethiopia: multilevel bayesian statistical approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011377/ https://www.ncbi.nlm.nih.gov/pubmed/36914676 http://dx.doi.org/10.1038/s41598-022-20381-7 |
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