Cargando…
A meta-analysis on burden of postpartum depression and its predictors among lactating women in East African countries from 1998 up to 2018
OBJECTIVE: Postpartum depression is a common mental illness that affects lactating women. This not only makes daily activities difficult for them, but it also affects child’s future lives. There is little evidence of about postpartum depression and its factors in East African countries, which piqued...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647266/ https://www.ncbi.nlm.nih.gov/pubmed/36385791 http://dx.doi.org/10.1177/20503121221135403 |
_version_ | 1784827350644424704 |
---|---|
author | Negesse, Ayenew Hune, Yidersail Temesgen, Habtamu Getaneh, Temesgen Bekalu, Amare |
author_facet | Negesse, Ayenew Hune, Yidersail Temesgen, Habtamu Getaneh, Temesgen Bekalu, Amare |
author_sort | Negesse, Ayenew |
collection | PubMed |
description | OBJECTIVE: Postpartum depression is a common mental illness that affects lactating women. This not only makes daily activities difficult for them, but it also affects child’s future lives. There is little evidence of about postpartum depression and its factors in East African countries, which piqued the authors’ interest in conducting a study on this matter for future decision- and policy-making. METHODS: The protocol for Preferred Reporting Items for Systematic Reviews and Meta-Analyses was followed. To identify published articles, all major databases such as PubMed/MEDLINE, WHOLIS, Cochrane Library, Embase, PsycINFO, ScienceDirect, Web of Science, and reference lists were used. In addition, shelves, author contact, Google and Google Scholar were also used to identify unpublished studies. Joanna Briggs Institute—Meta-Analysis of Statistical Assessment and Review Instrument was used for critical appraisal of studies. STATA software version 14 was used for the analysis. The random-effect model was used to estimate postpartum depression with 95% confidence interval, while subgroup analysis and meta-regression were used to identify potential sources of heterogeneity and associated factors, respectively. Furthermore, Egger’s test and trim-and-fill analysis were used to check for publication bias. RESULTS: Postpartum depression was found in 24% of lactating women in East African countries (95% confidence interval: 17.79–30.20). Postpartum depression was associated with being married (odds ratio = 2; 95% confidence interval: 1.05–3.81), domestic violence (odds ratio = 6.34; 95% confidence interval: 4:11–9.78), a lack of support (odds ratio = 6.59; 95% confidence interval: 1.98–21.89), and a lack of empowerment (odds ratio = 2.79; 95% confidence interval: 1.12–6.92). CONCLUSION: In East Africa, the prevalence of postpartum depression among lactating women is high and rising, as per global postpartum depression estimates. Therefore, the primary focus should be on women’s domestic violence prevention mechanisms. Existing national policies and development agendas must prioritize strategies for women’s support and empowerment. Future research into the relationship between marriage and postpartum depression is required. |
format | Online Article Text |
id | pubmed-9647266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-96472662022-11-15 A meta-analysis on burden of postpartum depression and its predictors among lactating women in East African countries from 1998 up to 2018 Negesse, Ayenew Hune, Yidersail Temesgen, Habtamu Getaneh, Temesgen Bekalu, Amare SAGE Open Med Original Research Article OBJECTIVE: Postpartum depression is a common mental illness that affects lactating women. This not only makes daily activities difficult for them, but it also affects child’s future lives. There is little evidence of about postpartum depression and its factors in East African countries, which piqued the authors’ interest in conducting a study on this matter for future decision- and policy-making. METHODS: The protocol for Preferred Reporting Items for Systematic Reviews and Meta-Analyses was followed. To identify published articles, all major databases such as PubMed/MEDLINE, WHOLIS, Cochrane Library, Embase, PsycINFO, ScienceDirect, Web of Science, and reference lists were used. In addition, shelves, author contact, Google and Google Scholar were also used to identify unpublished studies. Joanna Briggs Institute—Meta-Analysis of Statistical Assessment and Review Instrument was used for critical appraisal of studies. STATA software version 14 was used for the analysis. The random-effect model was used to estimate postpartum depression with 95% confidence interval, while subgroup analysis and meta-regression were used to identify potential sources of heterogeneity and associated factors, respectively. Furthermore, Egger’s test and trim-and-fill analysis were used to check for publication bias. RESULTS: Postpartum depression was found in 24% of lactating women in East African countries (95% confidence interval: 17.79–30.20). Postpartum depression was associated with being married (odds ratio = 2; 95% confidence interval: 1.05–3.81), domestic violence (odds ratio = 6.34; 95% confidence interval: 4:11–9.78), a lack of support (odds ratio = 6.59; 95% confidence interval: 1.98–21.89), and a lack of empowerment (odds ratio = 2.79; 95% confidence interval: 1.12–6.92). CONCLUSION: In East Africa, the prevalence of postpartum depression among lactating women is high and rising, as per global postpartum depression estimates. Therefore, the primary focus should be on women’s domestic violence prevention mechanisms. Existing national policies and development agendas must prioritize strategies for women’s support and empowerment. Future research into the relationship between marriage and postpartum depression is required. SAGE Publications 2022-11-07 /pmc/articles/PMC9647266/ /pubmed/36385791 http://dx.doi.org/10.1177/20503121221135403 Text en © The Author(s) 2022 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 Article Negesse, Ayenew Hune, Yidersail Temesgen, Habtamu Getaneh, Temesgen Bekalu, Amare A meta-analysis on burden of postpartum depression and its predictors among lactating women in East African countries from 1998 up to 2018 |
title | A meta-analysis on burden of postpartum depression and its predictors
among lactating women in East African countries from 1998 up to
2018 |
title_full | A meta-analysis on burden of postpartum depression and its predictors
among lactating women in East African countries from 1998 up to
2018 |
title_fullStr | A meta-analysis on burden of postpartum depression and its predictors
among lactating women in East African countries from 1998 up to
2018 |
title_full_unstemmed | A meta-analysis on burden of postpartum depression and its predictors
among lactating women in East African countries from 1998 up to
2018 |
title_short | A meta-analysis on burden of postpartum depression and its predictors
among lactating women in East African countries from 1998 up to
2018 |
title_sort | meta-analysis on burden of postpartum depression and its predictors
among lactating women in east african countries from 1998 up to
2018 |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647266/ https://www.ncbi.nlm.nih.gov/pubmed/36385791 http://dx.doi.org/10.1177/20503121221135403 |
work_keys_str_mv | AT negesseayenew ametaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT huneyidersail ametaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT temesgenhabtamu ametaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT getanehtemesgen ametaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT bekaluamare ametaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT negesseayenew metaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT huneyidersail metaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT temesgenhabtamu metaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT getanehtemesgen metaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 AT bekaluamare metaanalysisonburdenofpostpartumdepressionanditspredictorsamonglactatingwomenineastafricancountriesfrom1998upto2018 |