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Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis
BACKGROUND: A high fertility rate can have a number of expensive consequences for developing nations, such as limiting economic growth, adversely impacting women and their children’s health, and reducing access to quality education, nutrition, and employment. The problem is more obvious in Ethipia’s...
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/PMC10228040/ https://www.ncbi.nlm.nih.gov/pubmed/37254145 http://dx.doi.org/10.1186/s12889-023-15952-w |
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author | Negash, Wubshet Debebe Belachew, Tadele Biresaw Asmamaw, Desale Bihonegn Bitew, Desalegn Anmut |
author_facet | Negash, Wubshet Debebe Belachew, Tadele Biresaw Asmamaw, Desale Bihonegn Bitew, Desalegn Anmut |
author_sort | Negash, Wubshet Debebe |
collection | PubMed |
description | BACKGROUND: A high fertility rate can have a number of expensive consequences for developing nations, such as limiting economic growth, adversely impacting women and their children’s health, and reducing access to quality education, nutrition, and employment. The problem is more obvious in Ethipia’s high fertility regions. Therefore, this study aimed to assess predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. METHODS: The analysis was based on secondary data using the 2016 Ethiopian Demographic and Health Survey. Stata version 14 software was used for analysis. A multi-level mixed-effect logistic regression analysis was fitted. Adjusted Odds Ratio at 95% confidence interval was used to show the strength and direction of the association. Statistical significance was declared at a P- value less than 0.05. RESULTS: The overall desire to limit childbearing in high fertility regions in Ethiopia was 37.7% (95% CI: 36.28, 39.17). Age; 25–34 (AOR = 3.74; 95% CI: 2.97, 4.73), 35–49 years (AOR = 14; 95% CI: 10.85, 18.06), women education; Primary education (AOR = 0.73; 95% CI: 0.61, 0.88), secondary and higher (AOR = 0.29; 95% CI: 0.19, 0.43), from the community level variables Oromia National Regional state (AOR = 5.86; 95% CI: 2.82, 12.23), high proportion of community level poverity (AOR = 0.67; 95% CI: 0.45, 0.98), and high proportion of community level media exposure (AOR = 1.53; 95% CI: 1.07, 2.19) were statistically significant factors for desire to limit childbearing in high fertility regions of Ethiopia. CONCLUSION: Nearly four in ten women had the desire to limit childbearing in high fertility regions in Ethiopia. Thus, to fulfill the women’s desire to limit childbearing, Ministry of Health and health facilities are needed to increase financial support strategies and Family planning programs that enable pregnant women from poor households to use health services. In addition, increasing community level media exposure are important interventions. |
format | Online Article Text |
id | pubmed-10228040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102280402023-05-31 Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis Negash, Wubshet Debebe Belachew, Tadele Biresaw Asmamaw, Desale Bihonegn Bitew, Desalegn Anmut BMC Public Health Research BACKGROUND: A high fertility rate can have a number of expensive consequences for developing nations, such as limiting economic growth, adversely impacting women and their children’s health, and reducing access to quality education, nutrition, and employment. The problem is more obvious in Ethipia’s high fertility regions. Therefore, this study aimed to assess predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. METHODS: The analysis was based on secondary data using the 2016 Ethiopian Demographic and Health Survey. Stata version 14 software was used for analysis. A multi-level mixed-effect logistic regression analysis was fitted. Adjusted Odds Ratio at 95% confidence interval was used to show the strength and direction of the association. Statistical significance was declared at a P- value less than 0.05. RESULTS: The overall desire to limit childbearing in high fertility regions in Ethiopia was 37.7% (95% CI: 36.28, 39.17). Age; 25–34 (AOR = 3.74; 95% CI: 2.97, 4.73), 35–49 years (AOR = 14; 95% CI: 10.85, 18.06), women education; Primary education (AOR = 0.73; 95% CI: 0.61, 0.88), secondary and higher (AOR = 0.29; 95% CI: 0.19, 0.43), from the community level variables Oromia National Regional state (AOR = 5.86; 95% CI: 2.82, 12.23), high proportion of community level poverity (AOR = 0.67; 95% CI: 0.45, 0.98), and high proportion of community level media exposure (AOR = 1.53; 95% CI: 1.07, 2.19) were statistically significant factors for desire to limit childbearing in high fertility regions of Ethiopia. CONCLUSION: Nearly four in ten women had the desire to limit childbearing in high fertility regions in Ethiopia. Thus, to fulfill the women’s desire to limit childbearing, Ministry of Health and health facilities are needed to increase financial support strategies and Family planning programs that enable pregnant women from poor households to use health services. In addition, increasing community level media exposure are important interventions. BioMed Central 2023-05-30 /pmc/articles/PMC10228040/ /pubmed/37254145 http://dx.doi.org/10.1186/s12889-023-15952-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 Negash, Wubshet Debebe Belachew, Tadele Biresaw Asmamaw, Desale Bihonegn Bitew, Desalegn Anmut Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis |
title | Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis |
title_full | Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis |
title_fullStr | Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis |
title_full_unstemmed | Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis |
title_short | Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis |
title_sort | predictors of desire to limit childbearing among reproductive age women in high fertility regions in ethiopia. a multilevel mixed effect analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228040/ https://www.ncbi.nlm.nih.gov/pubmed/37254145 http://dx.doi.org/10.1186/s12889-023-15952-w |
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