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Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: a systematic review and meta-analysis
BACKGROUND: Antenatal depression is more prevalent in low and middle income countries as compared to high income countries. It has now been documented as a global public health problem owing to its severity, chronic nature and recurrence as well as its negative influence on the general health of wom...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264030/ https://www.ncbi.nlm.nih.gov/pubmed/30486804 http://dx.doi.org/10.1186/s12884-018-2101-x |
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author | Zegeye, Abriham Alebel, Animut Gebrie, Alemu Tesfaye, Bekele Belay, Yihalem Abebe Adane, Fentahun Abie, Worku |
author_facet | Zegeye, Abriham Alebel, Animut Gebrie, Alemu Tesfaye, Bekele Belay, Yihalem Abebe Adane, Fentahun Abie, Worku |
author_sort | Zegeye, Abriham |
collection | PubMed |
description | BACKGROUND: Antenatal depression is more prevalent in low and middle income countries as compared to high income countries. It has now been documented as a global public health problem owing to its severity, chronic nature and recurrence as well as its negative influence on the general health of women and development of children. However, in Ethiopia, there are few studies with highly variable and inconsistent findings. Therefore, the aim of this study was to determine the prevalence of antenatal depression and its determinants among pregnant women in Ethiopia. METHODS: In this systematic review and meta-analysis, we exhaustively searched several databases including PubMed, Google Scholar, Science Direct and Cochrane Library. To estimate the pooled prevalence, studies reporting the prevalence of antenatal depression and its determinants were included. Data were extracted using a standardized data extraction format prepared in Microsoft Excel and transferred to STATA 14 statistical software for analysis. To assess heterogeneity, the Cochrane Q test statistics and I(2) test were used. Since the included studies exhibit considerable heterogeneity, a random effect meta- analysis model was used to estimate the pooled prevalence of antenatal depression. Finally, the association between determinant factors and antenatal depression were assessed. RESULTS: The overall pooled prevalence of antenatal depression, in Ethiopia, was 24.2% (95% CI: 19.8, 28.6). The subgroup analysis of this study indicated that the highest prevalence was reported from Addis Ababa region with a prevalence of 26.9% (21.9–32.1) whereas the lowest prevalence was reported from Amhara region, 17.25 (95% CI: 6.34, 28.17). Presence of previous history of abortion (OR: 3.0, 95% CI: 2.1, 4.4), presence of marital conflict (OR: 7.2; 95% CI: 2.7, 19.0), lack of social support from husband (OR: 3.2: 95% CI: 1.2, 8.9), and previous history of pregnancy complication (OR: 3.2: 95% CI: 1.8, 5.8) were found to be determinants of antenatal depression. CONCLUSION: The pooled prevalence of antenatal depression, in Ethiopia, was relatively high. Presence of previous history of abortion, presence of marital conflict, lack of social support from husband, presence of previous history of pregnancy complications were the main determinants of antenatal depression in Ethiopia. |
format | Online Article Text |
id | pubmed-6264030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62640302018-12-05 Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: a systematic review and meta-analysis Zegeye, Abriham Alebel, Animut Gebrie, Alemu Tesfaye, Bekele Belay, Yihalem Abebe Adane, Fentahun Abie, Worku BMC Pregnancy Childbirth Research Article BACKGROUND: Antenatal depression is more prevalent in low and middle income countries as compared to high income countries. It has now been documented as a global public health problem owing to its severity, chronic nature and recurrence as well as its negative influence on the general health of women and development of children. However, in Ethiopia, there are few studies with highly variable and inconsistent findings. Therefore, the aim of this study was to determine the prevalence of antenatal depression and its determinants among pregnant women in Ethiopia. METHODS: In this systematic review and meta-analysis, we exhaustively searched several databases including PubMed, Google Scholar, Science Direct and Cochrane Library. To estimate the pooled prevalence, studies reporting the prevalence of antenatal depression and its determinants were included. Data were extracted using a standardized data extraction format prepared in Microsoft Excel and transferred to STATA 14 statistical software for analysis. To assess heterogeneity, the Cochrane Q test statistics and I(2) test were used. Since the included studies exhibit considerable heterogeneity, a random effect meta- analysis model was used to estimate the pooled prevalence of antenatal depression. Finally, the association between determinant factors and antenatal depression were assessed. RESULTS: The overall pooled prevalence of antenatal depression, in Ethiopia, was 24.2% (95% CI: 19.8, 28.6). The subgroup analysis of this study indicated that the highest prevalence was reported from Addis Ababa region with a prevalence of 26.9% (21.9–32.1) whereas the lowest prevalence was reported from Amhara region, 17.25 (95% CI: 6.34, 28.17). Presence of previous history of abortion (OR: 3.0, 95% CI: 2.1, 4.4), presence of marital conflict (OR: 7.2; 95% CI: 2.7, 19.0), lack of social support from husband (OR: 3.2: 95% CI: 1.2, 8.9), and previous history of pregnancy complication (OR: 3.2: 95% CI: 1.8, 5.8) were found to be determinants of antenatal depression. CONCLUSION: The pooled prevalence of antenatal depression, in Ethiopia, was relatively high. Presence of previous history of abortion, presence of marital conflict, lack of social support from husband, presence of previous history of pregnancy complications were the main determinants of antenatal depression in Ethiopia. BioMed Central 2018-11-29 /pmc/articles/PMC6264030/ /pubmed/30486804 http://dx.doi.org/10.1186/s12884-018-2101-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zegeye, Abriham Alebel, Animut Gebrie, Alemu Tesfaye, Bekele Belay, Yihalem Abebe Adane, Fentahun Abie, Worku Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: a systematic review and meta-analysis |
title | Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: a systematic review and meta-analysis |
title_full | Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: a systematic review and meta-analysis |
title_fullStr | Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: a systematic review and meta-analysis |
title_full_unstemmed | Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: a systematic review and meta-analysis |
title_short | Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: a systematic review and meta-analysis |
title_sort | prevalence and determinants of antenatal depression among pregnant women in ethiopia: a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264030/ https://www.ncbi.nlm.nih.gov/pubmed/30486804 http://dx.doi.org/10.1186/s12884-018-2101-x |
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