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Determinants of adverse birth outcome in Sub-Saharan Africa: analysis of recent demographic and health surveys

BACKGROUND: More than 75% of neonatal deaths occurred in the first weeks of life as a result of adverse birth outcomes. Low birth weight, preterm births are associated with a variety of acute and long-term complications. In Sub-Saharan Africa, there is insufficient evidence of adverse birth outcomes...

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Autores principales: Tamirat, Koku Sisay, Sisay, Malede Mequanent, Tesema, Getayeneh Antehunegn, Tessema, Zemenu Tadesse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186187/
https://www.ncbi.nlm.nih.gov/pubmed/34098914
http://dx.doi.org/10.1186/s12889-021-11113-z
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author Tamirat, Koku Sisay
Sisay, Malede Mequanent
Tesema, Getayeneh Antehunegn
Tessema, Zemenu Tadesse
author_facet Tamirat, Koku Sisay
Sisay, Malede Mequanent
Tesema, Getayeneh Antehunegn
Tessema, Zemenu Tadesse
author_sort Tamirat, Koku Sisay
collection PubMed
description BACKGROUND: More than 75% of neonatal deaths occurred in the first weeks of life as a result of adverse birth outcomes. Low birth weight, preterm births are associated with a variety of acute and long-term complications. In Sub-Saharan Africa, there is insufficient evidence of adverse birth outcomes. Hence, this study aimed to determine the pooled prevalence and determinants of adverse birth outcomes in Sub-Saharan Africa. METHOD: Data of this study were obtained from a cross-sectional survey of the most recent Demographic and Health Surveys (DHS) of ten Sub-African (SSA) countries. A total of 76,853 children born five years preceding the survey were included in the final analysis. A Generalized Linear Mixed Models (GLMM) were fitted and an adjusted odds ratio (AOR) with a 95% Confidence Interval (CI) was computed to declare statistically significant determinants of adverse birth outcomes. RESULT: The pooled prevalence of adverse birth outcomes were 29.7% (95% CI: 29.4 to 30.03). Female child (AOR = 0.94, 95%CI: 0.91 0.97), women attended secondary level of education (AOR = 0.87, 95%CI: 0.82 0.92), middle (AOR = 0.94,95%CI: 0.90 0.98) and rich socioeconomic status (AOR = 0.94, 95%CI: 0.90 0.99), intimate-partner physical violence (beating) (AOR = 1.18, 95%CI: 1.14 1.22), big problems of long-distance travel (AOR = 1.08, 95%CI: 1.04 1.11), antenatal care follow-ups (AOR = 0.86, 95%CI: 0.83 0.86), multiparty (AOR = 0.88, 95%CI: 0.84 0.91), twin births (AOR = 2.89, 95%CI: 2.67 3.14), and lack of women involvement in healthcare decision-making process (AOR = 1.10, 95%CI: 1.06 1.13) were determinants of adverse birth outcomes. CONCLUSION: This study showed that the magnitude of adverse birth outcomes was high, abnormal baby size and preterm births were the most common adverse birth outcomes. This finding suggests that encouraging antenatal care follow-ups and socio-economic conditions of women are essential. Moreover, special attention should be given to multiple pregnancies, improving healthcare accessibilities to rural areas, and women’s involvement in healthcare decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11113-z.
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spelling pubmed-81861872021-06-10 Determinants of adverse birth outcome in Sub-Saharan Africa: analysis of recent demographic and health surveys Tamirat, Koku Sisay Sisay, Malede Mequanent Tesema, Getayeneh Antehunegn Tessema, Zemenu Tadesse BMC Public Health Research Article BACKGROUND: More than 75% of neonatal deaths occurred in the first weeks of life as a result of adverse birth outcomes. Low birth weight, preterm births are associated with a variety of acute and long-term complications. In Sub-Saharan Africa, there is insufficient evidence of adverse birth outcomes. Hence, this study aimed to determine the pooled prevalence and determinants of adverse birth outcomes in Sub-Saharan Africa. METHOD: Data of this study were obtained from a cross-sectional survey of the most recent Demographic and Health Surveys (DHS) of ten Sub-African (SSA) countries. A total of 76,853 children born five years preceding the survey were included in the final analysis. A Generalized Linear Mixed Models (GLMM) were fitted and an adjusted odds ratio (AOR) with a 95% Confidence Interval (CI) was computed to declare statistically significant determinants of adverse birth outcomes. RESULT: The pooled prevalence of adverse birth outcomes were 29.7% (95% CI: 29.4 to 30.03). Female child (AOR = 0.94, 95%CI: 0.91 0.97), women attended secondary level of education (AOR = 0.87, 95%CI: 0.82 0.92), middle (AOR = 0.94,95%CI: 0.90 0.98) and rich socioeconomic status (AOR = 0.94, 95%CI: 0.90 0.99), intimate-partner physical violence (beating) (AOR = 1.18, 95%CI: 1.14 1.22), big problems of long-distance travel (AOR = 1.08, 95%CI: 1.04 1.11), antenatal care follow-ups (AOR = 0.86, 95%CI: 0.83 0.86), multiparty (AOR = 0.88, 95%CI: 0.84 0.91), twin births (AOR = 2.89, 95%CI: 2.67 3.14), and lack of women involvement in healthcare decision-making process (AOR = 1.10, 95%CI: 1.06 1.13) were determinants of adverse birth outcomes. CONCLUSION: This study showed that the magnitude of adverse birth outcomes was high, abnormal baby size and preterm births were the most common adverse birth outcomes. This finding suggests that encouraging antenatal care follow-ups and socio-economic conditions of women are essential. Moreover, special attention should be given to multiple pregnancies, improving healthcare accessibilities to rural areas, and women’s involvement in healthcare decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11113-z. BioMed Central 2021-06-07 /pmc/articles/PMC8186187/ /pubmed/34098914 http://dx.doi.org/10.1186/s12889-021-11113-z Text en © The Author(s) 2021 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 Article
Tamirat, Koku Sisay
Sisay, Malede Mequanent
Tesema, Getayeneh Antehunegn
Tessema, Zemenu Tadesse
Determinants of adverse birth outcome in Sub-Saharan Africa: analysis of recent demographic and health surveys
title Determinants of adverse birth outcome in Sub-Saharan Africa: analysis of recent demographic and health surveys
title_full Determinants of adverse birth outcome in Sub-Saharan Africa: analysis of recent demographic and health surveys
title_fullStr Determinants of adverse birth outcome in Sub-Saharan Africa: analysis of recent demographic and health surveys
title_full_unstemmed Determinants of adverse birth outcome in Sub-Saharan Africa: analysis of recent demographic and health surveys
title_short Determinants of adverse birth outcome in Sub-Saharan Africa: analysis of recent demographic and health surveys
title_sort determinants of adverse birth outcome in sub-saharan africa: analysis of recent demographic and health surveys
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186187/
https://www.ncbi.nlm.nih.gov/pubmed/34098914
http://dx.doi.org/10.1186/s12889-021-11113-z
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