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Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016
BACKGROUND: Unintended pregnancy has been a major public health and reproductive health issue imposing a great adverse consequence on the mother and child. However, estimates of unintended pregnancy through the appropriate model are lacking. This study is aimed at modeling and assessing the extent o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164261/ https://www.ncbi.nlm.nih.gov/pubmed/37163173 http://dx.doi.org/10.1177/20552076231173306 |
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author | Wobse, Belete A Gashaw, Tezera A |
author_facet | Wobse, Belete A Gashaw, Tezera A |
author_sort | Wobse, Belete A |
collection | PubMed |
description | BACKGROUND: Unintended pregnancy has been a major public health and reproductive health issue imposing a great adverse consequence on the mother and child. However, estimates of unintended pregnancy through the appropriate model are lacking. This study is aimed at modeling and assessing the extent of variation and factors associated with unintended pregnancy among women in Ethiopia. METHODS: A cross-sectional study was conducted based on 2016 Ethiopian Demographic and Health Survey data related to the reproductive health of 1122 currently pregnant women and a multilevel modeling approach was used. RESULTS: The proportion of unintended current pregnancies was 20.1%. According to random intercept with a fixed slope model, women who had 1 to 3 living children and those who had 4 and above were more likely to be unintended (OR = 3.54, 95% CI: 1.985–6.332) and (OR = 5.47, 95% CI: 2.67–11.227), respectively, compared to women with no living children. Also, married women were less likely to be unintended (OR = 0.14, 95% CI: 0.065–0.304) compared to unmarried women. In addition, women having work were more likely to be unintended (OR = 1.56, 95% CI: 1.079–2.255). Furthermore, women who intend to use contraceptive methods were less likely to be unintended (OR = 0.54, 95% CI: 0.362–0.796) compared to women who do not intend. CONCLUSION: The number of living children, current marital status, the intention of contraceptive use, and respondents’ working status were found to have a significant effect. Giving attention to regional variations and intention of contraceptive use is important to reduce unintended current pregnancies in Ethiopia. |
format | Online Article Text |
id | pubmed-10164261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-101642612023-05-08 Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016 Wobse, Belete A Gashaw, Tezera A Digit Health Original Research BACKGROUND: Unintended pregnancy has been a major public health and reproductive health issue imposing a great adverse consequence on the mother and child. However, estimates of unintended pregnancy through the appropriate model are lacking. This study is aimed at modeling and assessing the extent of variation and factors associated with unintended pregnancy among women in Ethiopia. METHODS: A cross-sectional study was conducted based on 2016 Ethiopian Demographic and Health Survey data related to the reproductive health of 1122 currently pregnant women and a multilevel modeling approach was used. RESULTS: The proportion of unintended current pregnancies was 20.1%. According to random intercept with a fixed slope model, women who had 1 to 3 living children and those who had 4 and above were more likely to be unintended (OR = 3.54, 95% CI: 1.985–6.332) and (OR = 5.47, 95% CI: 2.67–11.227), respectively, compared to women with no living children. Also, married women were less likely to be unintended (OR = 0.14, 95% CI: 0.065–0.304) compared to unmarried women. In addition, women having work were more likely to be unintended (OR = 1.56, 95% CI: 1.079–2.255). Furthermore, women who intend to use contraceptive methods were less likely to be unintended (OR = 0.54, 95% CI: 0.362–0.796) compared to women who do not intend. CONCLUSION: The number of living children, current marital status, the intention of contraceptive use, and respondents’ working status were found to have a significant effect. Giving attention to regional variations and intention of contraceptive use is important to reduce unintended current pregnancies in Ethiopia. SAGE Publications 2023-05-04 /pmc/articles/PMC10164261/ /pubmed/37163173 http://dx.doi.org/10.1177/20552076231173306 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Wobse, Belete A Gashaw, Tezera A Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016 |
title | Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016 |
title_full | Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016 |
title_fullStr | Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016 |
title_full_unstemmed | Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016 |
title_short | Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016 |
title_sort | multilevel modeling of unintended current pregnancy: in the case of ethiopian demographic and health survey, 2016 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164261/ https://www.ncbi.nlm.nih.gov/pubmed/37163173 http://dx.doi.org/10.1177/20552076231173306 |
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