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What factors are associated with the increase of anemia in Ethiopian children aged 6 to 59 months between 2011 and 2016?
BACKGROUND: In Ethiopia more than half of the children under 5 years are anemic and between 2011 and 2016 anemia in children under-5 increased by 28.7%. This study aimed to analyze this increase in anemia by socio-demographic characteristics. METHOD: This study was a secondary analysis of the data f...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549234/ https://www.ncbi.nlm.nih.gov/pubmed/33062289 http://dx.doi.org/10.1186/s40795-020-00371-6 |
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author | Amaha, Nebyu Daniel |
author_facet | Amaha, Nebyu Daniel |
author_sort | Amaha, Nebyu Daniel |
collection | PubMed |
description | BACKGROUND: In Ethiopia more than half of the children under 5 years are anemic and between 2011 and 2016 anemia in children under-5 increased by 28.7%. This study aimed to analyze this increase in anemia by socio-demographic characteristics. METHOD: This study was a secondary analysis of the data from the Ethiopian Demographic Health Surveys (EDHS) for 2011 and 2016. The increase of anemia was calculated using percentage change. The chi-square test was used to determine the association between anemia and six predictor variables of age, sex, mother’s educational level, residence, wealth quintile and region. The strength of association was measured using Cramer’s V. RESULTS: Anemia increased in all age groups, both sexes, urban and rural residencies, across all wealth quintiles, all maternal education levels and all regions of Ethiopia except Benishangul Gumuz. The highest increase of anemia was seen among children born to mothers with above secondary education (65.8%), living in urban areas (40.1%), in the lowest wealth quintile (41.5%), and children from Tigray region (42.9%). Severe anemia increased in all age categories except in infants aged 9–11 months. Children of mothers with above secondary educational level had the highest increase of mild and moderate anemia. Severe anemia decreased in the second and middle wealth quintiles whereas it increased in the rest quintiles. Benishangul Gumuz is the only region where mild, moderate, and severe anemia decreased. Pearson’s chi-square (χ(2)) test showed that all the predictor variables except sex were significantly associated with anemia. Although highly significant (p < 0.001) using the chi-square test, Cramer’s V showed that residence (V = 0.052–0.066) and maternal education (V = 0.041–0.044) were only weakly associated with anemia. CONCLUSION: Anemia in children under-5 continues to be a severe public health problem in Ethiopia. Benishangul Gumuz region is the only region that was able to reduce the prevalence of all forms of anemia under-5 between 2011 and 2016, consequently other regions of Ethiopia could learn from this experience. The high increase of anemia in children born to mothers with above secondary education and highest wealth quintiles points to poor dietary practices, therefore, community based nutrition education for mothers needs to be strengthened. |
format | Online Article Text |
id | pubmed-7549234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75492342020-10-13 What factors are associated with the increase of anemia in Ethiopian children aged 6 to 59 months between 2011 and 2016? Amaha, Nebyu Daniel BMC Nutr Research Article BACKGROUND: In Ethiopia more than half of the children under 5 years are anemic and between 2011 and 2016 anemia in children under-5 increased by 28.7%. This study aimed to analyze this increase in anemia by socio-demographic characteristics. METHOD: This study was a secondary analysis of the data from the Ethiopian Demographic Health Surveys (EDHS) for 2011 and 2016. The increase of anemia was calculated using percentage change. The chi-square test was used to determine the association between anemia and six predictor variables of age, sex, mother’s educational level, residence, wealth quintile and region. The strength of association was measured using Cramer’s V. RESULTS: Anemia increased in all age groups, both sexes, urban and rural residencies, across all wealth quintiles, all maternal education levels and all regions of Ethiopia except Benishangul Gumuz. The highest increase of anemia was seen among children born to mothers with above secondary education (65.8%), living in urban areas (40.1%), in the lowest wealth quintile (41.5%), and children from Tigray region (42.9%). Severe anemia increased in all age categories except in infants aged 9–11 months. Children of mothers with above secondary educational level had the highest increase of mild and moderate anemia. Severe anemia decreased in the second and middle wealth quintiles whereas it increased in the rest quintiles. Benishangul Gumuz is the only region where mild, moderate, and severe anemia decreased. Pearson’s chi-square (χ(2)) test showed that all the predictor variables except sex were significantly associated with anemia. Although highly significant (p < 0.001) using the chi-square test, Cramer’s V showed that residence (V = 0.052–0.066) and maternal education (V = 0.041–0.044) were only weakly associated with anemia. CONCLUSION: Anemia in children under-5 continues to be a severe public health problem in Ethiopia. Benishangul Gumuz region is the only region that was able to reduce the prevalence of all forms of anemia under-5 between 2011 and 2016, consequently other regions of Ethiopia could learn from this experience. The high increase of anemia in children born to mothers with above secondary education and highest wealth quintiles points to poor dietary practices, therefore, community based nutrition education for mothers needs to be strengthened. BioMed Central 2020-10-12 /pmc/articles/PMC7549234/ /pubmed/33062289 http://dx.doi.org/10.1186/s40795-020-00371-6 Text en © The Author(s) 2020 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 Article Amaha, Nebyu Daniel What factors are associated with the increase of anemia in Ethiopian children aged 6 to 59 months between 2011 and 2016? |
title | What factors are associated with the increase of anemia in Ethiopian children aged 6 to 59 months between 2011 and 2016? |
title_full | What factors are associated with the increase of anemia in Ethiopian children aged 6 to 59 months between 2011 and 2016? |
title_fullStr | What factors are associated with the increase of anemia in Ethiopian children aged 6 to 59 months between 2011 and 2016? |
title_full_unstemmed | What factors are associated with the increase of anemia in Ethiopian children aged 6 to 59 months between 2011 and 2016? |
title_short | What factors are associated with the increase of anemia in Ethiopian children aged 6 to 59 months between 2011 and 2016? |
title_sort | what factors are associated with the increase of anemia in ethiopian children aged 6 to 59 months between 2011 and 2016? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549234/ https://www.ncbi.nlm.nih.gov/pubmed/33062289 http://dx.doi.org/10.1186/s40795-020-00371-6 |
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