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Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia
BACKGROUND: In low-and-middle-income, including Ethiopia, high-risk fertility behavior is a major public health concern. High-risk fertility behavior has an adverse influence on maternal and child health, which hampered efforts to reduce maternal and child morbidity and mortality in Ethiopia. Theref...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987093/ https://www.ncbi.nlm.nih.gov/pubmed/36872395 http://dx.doi.org/10.1186/s41182-023-00506-y |
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author | Aragaw, Fantu Mamo Chilot, Dagmawi Belay, Daniel Gashaneh Merid, Mehari Woldemariam Kibret, Anteneh Ayelign Alem, Adugnaw Zeleke Asratie, Melaku Hunie |
author_facet | Aragaw, Fantu Mamo Chilot, Dagmawi Belay, Daniel Gashaneh Merid, Mehari Woldemariam Kibret, Anteneh Ayelign Alem, Adugnaw Zeleke Asratie, Melaku Hunie |
author_sort | Aragaw, Fantu Mamo |
collection | PubMed |
description | BACKGROUND: In low-and-middle-income, including Ethiopia, high-risk fertility behavior is a major public health concern. High-risk fertility behavior has an adverse influence on maternal and child health, which hampered efforts to reduce maternal and child morbidity and mortality in Ethiopia. Therefore, this study aimed to assess the spatial distribution and associated factors of high-risk fertility behavior among reproductive-age women in Ethiopia using recent nationally representative data. METHODS: Secondary data analysis was done with a total weighted sample of 5865 reproductive-aged women using the latest mini EDHS 2019. The spatial distribution of high-risk fertility behavior in Ethiopia was determined using spatial analysis. Multilevel multivariable regression analysis was used to identify predictors of high-risk fertility behavior in Ethiopia. RESULTS: The prevalence of high-risk fertility behavior among reproductive-age women in Ethiopia was 73.50% (95% CI 72.36%, 74.62%). Women with primary education [AOR = 0.44; 95%CI; 0.37, 0.52], women with secondary and above education [AOR = 0.26; 95%CI; 0.20, 0.34], being Protestant religion followers [AOR = 1.47; 95%CI; 1.15, 1.89], being Muslim religion follower [AOR = 1.56; 95%CI; 1.20, 2.01], having television [AOR = 2.06; 95%CI; 1.54, 2.76], having ANC visit [AOR = 0.78; 95%CI; 0.61, 0.99], using contraception [AOR = 0.77; 95%CI; 0.65, 0.90], living in rural areas [AOR = 1.75; 95%CI; 1.22, 2.50] were significantly associated with high-risk fertility behavior. Significant hotspots of high-risk fertility behavior were detected in Somalia, SNNPR, Tigray region, and Afar regions of Ethiopia. CONCLUSIONS: A significant proportion of women in Ethiopia engaged in high-risk fertility behavior. High-risk fertility behavior was distributed non-randomly across Ethiopian regions. Policymakers and stakeholders should design interventions that take into account the factors that predispose women to have high-risk fertility behaviors and women who reside in areas with a high proportion of high-risk fertility behaviors to reduce the consequences of high-risk fertility behaviors. |
format | Online Article Text |
id | pubmed-9987093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99870932023-03-07 Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia Aragaw, Fantu Mamo Chilot, Dagmawi Belay, Daniel Gashaneh Merid, Mehari Woldemariam Kibret, Anteneh Ayelign Alem, Adugnaw Zeleke Asratie, Melaku Hunie Trop Med Health Research BACKGROUND: In low-and-middle-income, including Ethiopia, high-risk fertility behavior is a major public health concern. High-risk fertility behavior has an adverse influence on maternal and child health, which hampered efforts to reduce maternal and child morbidity and mortality in Ethiopia. Therefore, this study aimed to assess the spatial distribution and associated factors of high-risk fertility behavior among reproductive-age women in Ethiopia using recent nationally representative data. METHODS: Secondary data analysis was done with a total weighted sample of 5865 reproductive-aged women using the latest mini EDHS 2019. The spatial distribution of high-risk fertility behavior in Ethiopia was determined using spatial analysis. Multilevel multivariable regression analysis was used to identify predictors of high-risk fertility behavior in Ethiopia. RESULTS: The prevalence of high-risk fertility behavior among reproductive-age women in Ethiopia was 73.50% (95% CI 72.36%, 74.62%). Women with primary education [AOR = 0.44; 95%CI; 0.37, 0.52], women with secondary and above education [AOR = 0.26; 95%CI; 0.20, 0.34], being Protestant religion followers [AOR = 1.47; 95%CI; 1.15, 1.89], being Muslim religion follower [AOR = 1.56; 95%CI; 1.20, 2.01], having television [AOR = 2.06; 95%CI; 1.54, 2.76], having ANC visit [AOR = 0.78; 95%CI; 0.61, 0.99], using contraception [AOR = 0.77; 95%CI; 0.65, 0.90], living in rural areas [AOR = 1.75; 95%CI; 1.22, 2.50] were significantly associated with high-risk fertility behavior. Significant hotspots of high-risk fertility behavior were detected in Somalia, SNNPR, Tigray region, and Afar regions of Ethiopia. CONCLUSIONS: A significant proportion of women in Ethiopia engaged in high-risk fertility behavior. High-risk fertility behavior was distributed non-randomly across Ethiopian regions. Policymakers and stakeholders should design interventions that take into account the factors that predispose women to have high-risk fertility behaviors and women who reside in areas with a high proportion of high-risk fertility behaviors to reduce the consequences of high-risk fertility behaviors. BioMed Central 2023-03-06 /pmc/articles/PMC9987093/ /pubmed/36872395 http://dx.doi.org/10.1186/s41182-023-00506-y Text en © The Author(s) 2023 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/) . |
spellingShingle | Research Aragaw, Fantu Mamo Chilot, Dagmawi Belay, Daniel Gashaneh Merid, Mehari Woldemariam Kibret, Anteneh Ayelign Alem, Adugnaw Zeleke Asratie, Melaku Hunie Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia |
title | Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia |
title_full | Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia |
title_fullStr | Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia |
title_full_unstemmed | Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia |
title_short | Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia |
title_sort | spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in ethiopia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987093/ https://www.ncbi.nlm.nih.gov/pubmed/36872395 http://dx.doi.org/10.1186/s41182-023-00506-y |
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