ArticleSAGE open medicine2022
A meta-analysis on burden of postpartum depression and its predictors among lactating women in East African countries from 1998 up to 2018.
Article in SAGE open medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The association of psycho-economic factors with postpartum depression without significant medical complications for the mother and infant: a systematic review and meta-analysis.BMC pregnancy and childbirth · 2026Pooled it
- Comparison of the prevalence of probably postpartum depression before and during the covid-19 pandemic in Turkey: a systematic review and meta-analysis.Social psychiatry and psychiatric epidemiology · 2025Pooled it
- Artificial intelligence in the prevention and early detection of postpartum depression: a systematic review and meta-analysis.Frontiers in psychiatry · 2025Pooled it
- Exploring perinatal depression and its influencing factors: a cross-sectional study among pregnant women and mothers of children under two years in Burera district, Rwanda.BMC pregnancy and childbirth · 2026Article
- Effectiveness of group-based psycho-education on preventing postpartum depression among pregnant women by primary healthcare provider in primary healthcare institution: a cluster-randomized controlled trial.Frontiers in psychiatry · 2024Article
- Late postpartum depression and associated factors: community-based cross-sectional study.BMC women's health · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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