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Individual and community-level factors of abortion in East Africa: a multilevel analysis

BACKGROUND: Abortion is one of the top five causes of maternal mortality in low and middle-income countries. It is associated with a complication related to pregnancy and childbirth. Despite this, there was limited evidence on the prevalence and associated factors of abortion in East African countri...

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Autores principales: Aalmneh, Tesfa Sewunet, Alem, Adugnaw Zeleke, Tarekegn, Gebrekidan Ewnetu, Kassew, Tilahun, Liyew, Bikis, Terefe, Bewuketu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361670/
https://www.ncbi.nlm.nih.gov/pubmed/35941615
http://dx.doi.org/10.1186/s13690-022-00938-8
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author Aalmneh, Tesfa Sewunet
Alem, Adugnaw Zeleke
Tarekegn, Gebrekidan Ewnetu
Kassew, Tilahun
Liyew, Bikis
Terefe, Bewuketu
author_facet Aalmneh, Tesfa Sewunet
Alem, Adugnaw Zeleke
Tarekegn, Gebrekidan Ewnetu
Kassew, Tilahun
Liyew, Bikis
Terefe, Bewuketu
author_sort Aalmneh, Tesfa Sewunet
collection PubMed
description BACKGROUND: Abortion is one of the top five causes of maternal mortality in low and middle-income countries. It is associated with a complication related to pregnancy and childbirth. Despite this, there was limited evidence on the prevalence and associated factors of abortion in East African countries. Therefore, this study aimed to investigate the prevalence and associated factors of abortion among reproductive-aged women in East African countries. METHODS: The Demographic and Health Surveys (DHS) data of 12 East African countries was used. A total weighted sample of 431,518 reproductive-age women was included in the analysis. Due to the hierarchical nature of the DHS data, a multilevel binary logistic regression model was applied. Both crude and Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was calculated for potential associated factors of abortion in East Africa. In the final model, variables with a p value < 0.05 were declared as statistically significant factors of abortion. RESULTS: Around 5.96% (95%CI: 4.69, 7.22) of reproductive-aged women in East Africa had a history of abortion. Alcohol use, tobacco or cigarette smoking, being single, poorer wealth index, currently working, traditional family planning methods, and media exposure were associated with a higher risk of abortion. However, higher parity, having optimum birth intervals, and modern contraceptive uses were associated with lower odds of abortion. CONCLUSIONS: The prevalence of abortion among reproductive-aged women in East Africa was high. Abortion was affected by various socio-economic and obstetrical factors. Therefore, it is better to consider the high-risk groups during the intervention to prevent the burdens associated with abortion.
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spelling pubmed-93616702022-08-10 Individual and community-level factors of abortion in East Africa: a multilevel analysis Aalmneh, Tesfa Sewunet Alem, Adugnaw Zeleke Tarekegn, Gebrekidan Ewnetu Kassew, Tilahun Liyew, Bikis Terefe, Bewuketu Arch Public Health Research BACKGROUND: Abortion is one of the top five causes of maternal mortality in low and middle-income countries. It is associated with a complication related to pregnancy and childbirth. Despite this, there was limited evidence on the prevalence and associated factors of abortion in East African countries. Therefore, this study aimed to investigate the prevalence and associated factors of abortion among reproductive-aged women in East African countries. METHODS: The Demographic and Health Surveys (DHS) data of 12 East African countries was used. A total weighted sample of 431,518 reproductive-age women was included in the analysis. Due to the hierarchical nature of the DHS data, a multilevel binary logistic regression model was applied. Both crude and Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was calculated for potential associated factors of abortion in East Africa. In the final model, variables with a p value < 0.05 were declared as statistically significant factors of abortion. RESULTS: Around 5.96% (95%CI: 4.69, 7.22) of reproductive-aged women in East Africa had a history of abortion. Alcohol use, tobacco or cigarette smoking, being single, poorer wealth index, currently working, traditional family planning methods, and media exposure were associated with a higher risk of abortion. However, higher parity, having optimum birth intervals, and modern contraceptive uses were associated with lower odds of abortion. CONCLUSIONS: The prevalence of abortion among reproductive-aged women in East Africa was high. Abortion was affected by various socio-economic and obstetrical factors. Therefore, it is better to consider the high-risk groups during the intervention to prevent the burdens associated with abortion. BioMed Central 2022-08-09 /pmc/articles/PMC9361670/ /pubmed/35941615 http://dx.doi.org/10.1186/s13690-022-00938-8 Text en © The Author(s) 2022 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/) . 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
Aalmneh, Tesfa Sewunet
Alem, Adugnaw Zeleke
Tarekegn, Gebrekidan Ewnetu
Kassew, Tilahun
Liyew, Bikis
Terefe, Bewuketu
Individual and community-level factors of abortion in East Africa: a multilevel analysis
title Individual and community-level factors of abortion in East Africa: a multilevel analysis
title_full Individual and community-level factors of abortion in East Africa: a multilevel analysis
title_fullStr Individual and community-level factors of abortion in East Africa: a multilevel analysis
title_full_unstemmed Individual and community-level factors of abortion in East Africa: a multilevel analysis
title_short Individual and community-level factors of abortion in East Africa: a multilevel analysis
title_sort individual and community-level factors of abortion in east africa: a multilevel analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361670/
https://www.ncbi.nlm.nih.gov/pubmed/35941615
http://dx.doi.org/10.1186/s13690-022-00938-8
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