Economic and Health Predictors of National Postpartum Depression Prevalence: A Systematic Review, Meta-analysis, and Meta-Regression of 291 Studies from 56 Countries
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Background: Postpartum depression (PPD) poses a major global public health challenge. PPD is the most common complication associated with childbirth and exerts harmful effects on children. Although hundreds of PPD studies have been published, we lack accurate global or national PPD prevalence estimates, and have no clear account of why PPD appears to vary so dramatically between nations. Accordingly, we conducted a meta-analysis to estimate the global and national prevalence of PPD, and a meta-regression to identify economic, health, social or policy factors associated with national PPD prevalence. Methods: We conducted a systematic review of all papers reporting PPD prevalence using the Edinburgh Postnatal Depression Scale. PPD prevalence and methods were extracted from each study. Random effects meta-analysis was used to estimate global and national PPD prevalence. To test for country level predictors, we drew on data from UNICEF, WHO, and the World Bank. Random effects meta-regression was used to test national predictors of PPD prevalence. Findings: 308 studies of 304,449 women from 56 countries were identified. The global pooled prevalence of PPD was 17.5% (95% CI: 16.4% - 18.6%), with significant heterogeneity across nations (Q = 17,192, p = .000, I2 = 98%), ranging from 3.10% (0.01% - 10.87%) in Singapore to 37.78% (30.95% - 44.83%) in Chile. Nations with significantly higher rates of income inequality (R2=42.78%), maternal mortality (R2=25.54%) infant mortality (R2=12.23%), total fertility rates (R2=17.14%), or women of childbearing age working > 40 hours a week (R2=24.14%) have higher rates of PPD. Together, these factors explain 77.26%% of the national variation in PPD prevalence. Interpretation: The global prevalence of PPD is greater than previously thought and varies dramatically by nation. Disparities in wealth inequality and maternal-child-health factors explain much of the national variation in PPD prevalence.
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A meta-analysis of 291 studies found the prevalence of postpartum depression in Chile to be 38% (35-41%).
“A meta-analysis of 291 studies using the Edinburgh Postnatal Depression Scale (EPDS) on 296.284 women from 56 countries found a global prevalence of PPD of 16.7 %, with significant heterogeneity across nations, ranging from 3 % (2–5 %) in Singapore to 38 % (35–41 %) in Chile (Hahn-Holbrook et al., 2018).”
From App-based intervention for reducing depressive symptoms in postpartum women: Protocol for a feasibility randomized controlled trial (2023) · cites this paper as Hahn-Holbrook et al., 2018
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- Authors
- Hahn-Holbrook, J., Cornwell-Hinrichs, T., & Anaya, I.
- Affiliations
- Chapman University (US)
- Palo Alto University (US)
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2018-02-01
- Volume
- 8
- Pages
- 248-248
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC5799244
- OpenAlex
- W2794431233
- Cited by
- 667
- References
- 33
- Citations by year
- 2026: 70 · 2025: 104 · 2024: 97 · 2023: 111 · 2022: 99 · 2021: 92 · 2020: 63 · 2019: 23 · 2018: 8
- FWCI
- 8.34
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Psychiatry (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Chapman University Digital Commons (Chapman University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Eli Lilly and Company
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Health Sciences › Health Professions › General Health Professions › Maternal and Neonatal Healthcare
- Health Sciences › Medicine › Obstetrics and Gynecology › Maternal and Perinatal Health Interventions
- Keywords
- postpartum depression, prevalence, national variation, economic factors, income inequality, maternal mortality, infant mortality, fertility rate, maternal employment, maternal and child health, global health disparities
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