Evidence map›Paper›PMID 41781936›Full record

ArticleBMC pregnancy and childbirth2026

Maternal and infant correlates of postpartum depression: a study from low socioeconomic communities in Karachi, Pakistan.

Gul Afshan, Sadia Parkar, Nadia Mazhar, Samreen Memon, Sonila Ali, Zahra Hoodbhoy, Sidra Kaleem Jafri

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Article in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Gul AfshanDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Sadia ParkarDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Nadia MazharDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Samreen MemonDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Sonila AliDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Zahra HoodbhoyDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Sidra Kaleem JafriDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan. sidra.kaleem@aku.edu.ORCID http://orcid.org/0000-0002-3104-6891

Funding

Gates Foundation INV-004939
6 · The paper itself

Abstract

backgroundPostpartum depression (PPD) is a significant community issue impacting maternal health, child growth and development and family life. In Pakistan, its prevalence is notably high, particularly in socioeconomically disadvantaged settings, however, there is still limited community-based research done in examining its multiple contributing factors.

objectiveTo estimate the point prevalence of PPD among three groups of mothers at 1, 3, and 6 months postpartum and to identify maternal, socioeconomic, and psychosocial correlates in low-income peri-urban communities of Karachi, Pakistan.

methodsA cross-sectional analysis was conducted among 268 mothers of infants with ages of 1, 3, and 6 months, in the low socioeconomic districts of Karachi. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS) with a country specific cut-off of 14 and above being the symptoms of clinically significant importance. Structured questionnaires were used to gather data on sociodemographic and obstetric and psychosocial characteristics. Data collected between July 2022 and December 2024. Poisson regression models were used to estimate crude prevalence ratios, adjusted prevalence ratios (aPR) with 95% confidence intervals (CIs).

resultsThe overall prevalence of possible PPD was 29.1% (95% CI: 23.7–34.5). Multivariable analysis identified significant associations of PPD with child’s male gender (aPR = 1.474, 95% CI:1.003–2.167), middle-born children (aPR = 2.104, 95% CI:1.119–3.956), intimate partner violence (aPR = 3.430, 95% CI:1.566–7.509), maternal employment (aPR = 2.706, 95% CI:1.468–4.987), household income (aPR = 0.259, 95% CI:0.088–0.761), and previously breastfeeding of two children (aPR = 0.413, 95% CI: (0.205–0.830) and three children (aPR = 0.181, 95% CI: (0.082–0.396). Additionally, significant intimate partner violence and household income interaction was observed (aPR = 7.049, 95% CI:1.714–28.982).

conclusionThis paper examined maternal and infant predictors of postpartum depression among low socioeconomic groups in Karachi, Pakistan. Our results highlight the necessity of context-based solutions to postpartum mental health in resource-constrained appropriations. Screening in communities, better houses, economical support and violence prevention helps are essential to decrease PPD load in resource constrained peri-urban environment.

Indexed as

Depression, PostpartumMothersPovertyAdultCross-Sectional StudiesFemaleHumansInfantLow Socioeconomic StatusMalePakistanPrevalenceRisk FactorsYoung AdultIntimate partner violenceLow-income communitiesMaternal mental healthPostpartum depressionPsychosocial stressors

Identifiers

PMID41781936
PMCPMC13067486

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LicenceCC BY
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