Evidence map›Paper›PMID 41026332›Full record

ArticleDiscover mental health2025

Postpartum depression prevalence, risk factors, and interventions among women in Punjab, Pakistan.

Jannat Yousaf, Fiza Yousaf, Ayesha Sana, Isra Khalid, Najam-Us-Sahar, Hafsah Arshad, Kashif Iqbal

Abstract read
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Article in Discover mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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

7 authors.

Jannat Yousaf *University of Lahore, Islamabad, Pakistan.
Fiza Yousaf *University of Lahore, Islamabad, Pakistan.
Ayesha SanaIbadat International University, Islamabad, Pakistan. ayesha.sana@pharm.iiui.edu.pk.
Isra KhalidUniversity of Lahore, Islamabad, Pakistan.
Najam-Us-SaharIbadat International University, Islamabad, Pakistan.
Hafsah ArshadIbadat International University, Islamabad, Pakistan.
Kashif IqbalIbadat International University, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to look at the prevalence and risk factors for postpartum depression among Pakistani women.

methodsA cross-sectional study was conducted on 400 women who gave birth within the past three weeks to one year. The time frame for data collection was from December 2023 to April 2024, from different hospitals in Punjab, Pakistan. There were 5 sections in the questionnaire, Section 1 aimed at assessing the socio-demographic characteristics of the participants, Section 2 contained 3 questions about pregnancy and postpartum experience, Section 3 contained 10 questions about postpartum depression screening, Section 4 contained 12 questions related to risk factors and Section 5 contained 10 questions of Edinburgh Postnatal Depression Scale (EPDS). Statistical test, i.e. binary logistic regression, was employed to investigate associations between the dependent and independent variables. A significance level of p ≤ 0.05 was adopted to determine statistically significant findings. The research was carried out after approval from the University`s Research and Ethics Committee.

resultsAccording to the Edinburgh postnatal depression scale (EPDS), the incidence of postpartum depression in the current study population was 12.5%. We found that the education of respondents was significantly associated with an increased frequency of postpartum depression. (p = 0.002). Further, in women having a family history of mental disorders, unplanned or unwanted pregnancies, complications during pregnancy, unsatisfying relationships, and previous anxiety symptoms, the chances of postpartum depression were higher (p < 0.05).

conclusionThe postnatal period is when women are most vulnerable to developing postpartum mental diseases, including postpartum depression and psychosis. Because there is a strong link between the prevalence of postpartum depression and particular psychosocial variables, healthcare practitioners must pay close attention to this issue and design strategies for the effective detection and management of individuals with this condition.

Identifiers

PMID41026332
PMCPMC12484497

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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.