Evidence map›Paper›PMID 41210925›Full record

ArticleDepression and anxiety2025

Postpartum Women's Childhood Trauma and Postpartum Depressive Symptoms: A Network Analysis.

Yanchi Wang, Wei Huang, Xujuan Xu, Jian Gu

Abstract read
In one paragraph

Article in Depression and anxiety, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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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

4 authors.

Yanchi WangNursing Department, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, China.ORCID 0000-0003-0496-0685
Wei HuangMedical School of Nantong University, Nantong, Jiangsu, China.ORCID 0009-0001-2222-2865
Xujuan XuNursing Department, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.ORCID 0009-0000-0332-1385
Jian GuDepartment of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.ORCID 0009-0001-3520-2513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is growing recognition of the connection between childhood trauma and postpartum depressive symptoms. However, the specific patterns and complex relationships among them remain largely unclear. This study employs network analysis to dissect the intricate associations between postpartum women's childhood trauma and postpartum depressive symptoms, aiming to lay a foundation for targeted interventions. Methods: A total of 625 mothers who were undergoing the 42-day postpartum checkups participated in this research. Participants completed the Edinburgh Postnatal Depression Scale (EPDS) and the Childhood Trauma Questionnaire-Short Form (CTQ-SF). Using network analysis, we constructed a network model, calculated the expected influence (EI) and bridge EI (BEI) of nodes, and estimated the network's stability and accuracy. Results: The findings indicate that E8 (I have felt sad or miserable), C14 (Family said hurtful or insulting things to me), and C13 (Family looked out for each other) exhibited the greatest EI within the network. Meanwhile, E10 (The thought of harming myself has occurred to me), C14 (Family said hurtful or insulting things to me), and C3 (People in my family called me things like "stupid," "lazy," or "ugly") emerged as the crucial bridge symptoms. Conclusions: This study uses network analysis to reveal the complex relationship between childhood trauma and postpartum depression (PPD). It highlights that hurtful childhood family remarks play a crucial role in this complex web and that early-life psychological traumas are reflected in postpartum self-harm tendencies. The findings enable healthcare providers to create targeted interventions.

Indexed as

Adult Survivors of Child Adverse EventsAdverse Childhood ExperiencesDepression, PostpartumPostpartum PeriodAdultFemaleHumansMothersYoung Adultchildhood traumadepressive symptomsnetwork analysispostpartum women

Identifiers

PMID41210925
PMCPMC12591809

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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.