Evidence map›Paper›PMID 40726088›Full record

ArticleEpidemiology and psychiatric sciences2025

Diagnosis of postpartum depression and associated factors in South Africa: a cohort study of 47,697 women.

C Gastaldon, V Whitesell Skrivankova, G Schoretsanitis, N Folb, K Taghavi, M A Davies, M Cornell, G Salanti, C Mesa Vieira, M Tlali and 3 more

Abstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

C GastaldonInstitute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0001-7257-2962
V Whitesell SkrivankovaInstitute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
G SchoretsanitisDepartment of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-3851-4117
N FolbMedscheme, Cape Town, South Africa.
K TaghaviInstitute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
M A DaviesSchool of Public Health, Centre for Infectious Disease Epidemiology & Research, University of Cape Town, Cape Town, South Africa.
M CornellSchool of Public Health, Centre for Infectious Disease Epidemiology & Research, University of Cape Town, Cape Town, South Africa.
G SalantiInstitute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
C Mesa VieiraInstitute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
M TlaliSchool of Public Health, Centre for Infectious Disease Epidemiology & Research, University of Cape Town, Cape Town, South Africa.
G MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
M EggerInstitute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.
A D HaasInstitute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-4849-181X

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924World Health Organization 001
6 · The paper itself

Abstract

aimsAbout one-third of South African women have clinically significant symptoms of postpartum depression (PPD). Several socio-demographic risk factors for PPD exist, but data on medical and obstetric risk factors remain scarce for low- and middle-income countries and particularly in sub-Saharan Africa. We aimed to estimate the proportion of women with PPD and investigate socio-demographic, medical and obstetric risk factors for PPD among women receiving private medical care in South Africa (SA).

methodsIn this longitudinal cohort study, we analysed reimbursement claims from beneficiaries of an SA medical insurance scheme who delivered a child between 2011 and 2020. PPD was defined as a new International Classification of Diseases, 10th Revision diagnosis of depression within 365 days postpartum. We estimated the frequency of women with a diagnosis of PPD. We explored several medical and obstetric risk factors for PPD, including pre-existing conditions, such as HIV and polycystic ovary syndrome, and conditions diagnosed during pregnancy and labour, such as gestational diabetes, pre-term delivery and postpartum haemorrhage. Using a multivariable modified Poisson model, we estimated adjusted risk ratios (aRRs) and 95% confidence intervals (CIs) for factors associated with PPD.

resultsOf the 47,697 participants, 2,380 (5.0%) were diagnosed with PPD. The cumulative incidence of PPD increased from 0.8% (95% CI 0.7-0.9) at 6 weeks to 5.5% (5.3-5.7) at 12 months postpartum. PPD risk was higher in individuals with history of depression (aRR 3.47, 95% CI [3.14-3.85]), preterm delivery (1.47 [1.30-1.66]), PCOS (1.37 [1.09-1.72]), hyperemesis gravidarum (1.32 [1.11-1.57]), gestational hypertension (1.30 [1.03-1.66]) and postpartum haemorrhage (1.29 [0.91-1.85]). Endometriosis, HIV, gestational diabetes, foetal stress, perineal laceration, elective or emergency C-section and preeclampsia were not associated with a higher risk of PPD.

conclusionsThe PPD diagnosis rate was lower than anticipated, based on the PPD prevalence of previous studies, indicating a potential diagnostic gap in SA's private sector. Identified risk factors could inform targeted PPD screening strategies.

Indexed as

Depression, PostpartumAdultCohort StudiesFemaleHumansIncidenceLongitudinal StudiesPregnancyRisk FactorsSouth AfricaYoung Adultdepressionepidemiologymood disorders postpartumrisk factorswomen

Identifiers

PMID40726088
PMCPMC12450542

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.