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Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis

BACKGROUND: Maternal anemia is a worldwide public health problem especially in developing countries including Ethiopia. The anemia burden among lactating mothers was higher in Africa particularly in Ethiopia, and scant attention was paid. To date, there is limited evidence on community level determi...

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Autores principales: Liyew, Alemneh Mekuriaw, Teshale, Achamyeleh Birhanu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247135/
https://www.ncbi.nlm.nih.gov/pubmed/32448212
http://dx.doi.org/10.1186/s12889-020-08934-9
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author Liyew, Alemneh Mekuriaw
Teshale, Achamyeleh Birhanu
author_facet Liyew, Alemneh Mekuriaw
Teshale, Achamyeleh Birhanu
author_sort Liyew, Alemneh Mekuriaw
collection PubMed
description BACKGROUND: Maternal anemia is a worldwide public health problem especially in developing countries including Ethiopia. The anemia burden among lactating mothers was higher in Africa particularly in Ethiopia, and scant attention was paid. To date, there is limited evidence on community level determinants of anemia among lactating mothers in Ethiopia. This study, therefore, aimed to assess the prevalence and factors associated with anemia among lactating mothers in Ethiopia. METHODS: Secondary data analysis was employed using the 2016 Ethiopian Demographic and Health Survey. A total weighted sample of 4658 lactating women was included. A multilevel logistic regression model was used to identify individual and community level determinants of anemia during lactation. Finally, the adjusted odds ratio with a 95% confidence interval was reported. RESULTS: The overall prevalence of anemia was 28.3% (95% CI; 26.7, 30.0) with the higher regional prevalence in Somali (68.3%) and Afar (47.2%) regions. Current modern contraceptive use [AOR = 0.71; 95% CI: 0.58, 0.87], Poorer [AOR = 0.77; 95% CI: 0.61, 0.98], middle [AOR = 0.74; 95% CI: 0.56, 0.97], rich [AOR = 0.64; 95% CI: 0.46, 0.85], and richest [AOR = 0.66; 95% CI: 0.43, 0.98] wealth index, being working within the 12 months preceding the survey [AOR = 0.77; 95% CI: 0.64, 0.92], and taking iron during pregnancy [AOR = 0.82; 95% CI: 0.68, 0.98] were associated with lower odds of anemia. Whereas, being female household head [AOR = 1.22; 95% CI: 1.01, 1.49], having two births [AOR = 1.27; 95% CI: 1.04, 1.55] and three to four births [AOR = 1.53; 95% CI: 1.14, 2.06] within 5 years, and higher community illiteracy level [AOR = 1.06; 95% CI: 1.06, 1.70] were associated with the increased odds of anemia during lactation. CONCLUSION: In this study the prevalence of anemia among lactating mothers was high. It was affected by both individual and community level factors. Therefore, focusing on family planning services especially on modern contraceptive methods, iron supplementation during pregnancy, child spacing, and improving community literacy could decrease anemia during lactation.
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spelling pubmed-72471352020-06-01 Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis Liyew, Alemneh Mekuriaw Teshale, Achamyeleh Birhanu BMC Public Health Research Article BACKGROUND: Maternal anemia is a worldwide public health problem especially in developing countries including Ethiopia. The anemia burden among lactating mothers was higher in Africa particularly in Ethiopia, and scant attention was paid. To date, there is limited evidence on community level determinants of anemia among lactating mothers in Ethiopia. This study, therefore, aimed to assess the prevalence and factors associated with anemia among lactating mothers in Ethiopia. METHODS: Secondary data analysis was employed using the 2016 Ethiopian Demographic and Health Survey. A total weighted sample of 4658 lactating women was included. A multilevel logistic regression model was used to identify individual and community level determinants of anemia during lactation. Finally, the adjusted odds ratio with a 95% confidence interval was reported. RESULTS: The overall prevalence of anemia was 28.3% (95% CI; 26.7, 30.0) with the higher regional prevalence in Somali (68.3%) and Afar (47.2%) regions. Current modern contraceptive use [AOR = 0.71; 95% CI: 0.58, 0.87], Poorer [AOR = 0.77; 95% CI: 0.61, 0.98], middle [AOR = 0.74; 95% CI: 0.56, 0.97], rich [AOR = 0.64; 95% CI: 0.46, 0.85], and richest [AOR = 0.66; 95% CI: 0.43, 0.98] wealth index, being working within the 12 months preceding the survey [AOR = 0.77; 95% CI: 0.64, 0.92], and taking iron during pregnancy [AOR = 0.82; 95% CI: 0.68, 0.98] were associated with lower odds of anemia. Whereas, being female household head [AOR = 1.22; 95% CI: 1.01, 1.49], having two births [AOR = 1.27; 95% CI: 1.04, 1.55] and three to four births [AOR = 1.53; 95% CI: 1.14, 2.06] within 5 years, and higher community illiteracy level [AOR = 1.06; 95% CI: 1.06, 1.70] were associated with the increased odds of anemia during lactation. CONCLUSION: In this study the prevalence of anemia among lactating mothers was high. It was affected by both individual and community level factors. Therefore, focusing on family planning services especially on modern contraceptive methods, iron supplementation during pregnancy, child spacing, and improving community literacy could decrease anemia during lactation. BioMed Central 2020-05-24 /pmc/articles/PMC7247135/ /pubmed/32448212 http://dx.doi.org/10.1186/s12889-020-08934-9 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
Liyew, Alemneh Mekuriaw
Teshale, Achamyeleh Birhanu
Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis
title Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis
title_full Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis
title_fullStr Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis
title_full_unstemmed Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis
title_short Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis
title_sort individual and community level factors associated with anemia among lactating mothers in ethiopia using data from ethiopian demographic and health survey, 2016; a multilevel analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247135/
https://www.ncbi.nlm.nih.gov/pubmed/32448212
http://dx.doi.org/10.1186/s12889-020-08934-9
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