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ORIGINAL RESEARCH article

Front. Psychol.

Sec. Health Psychology

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1604013

Network Analysis of Postpartum Depression Symptoms and Perinatal Risk Factors in Chinese Women: A Prospective Observational Study

Provisionally accepted
Xian  ZhangXian Zhang1Jiasi  YaoJiasi Yao2Hongxiao  HeHongxiao He3Jiahe  LiJiahe Li3JUNYING  LIJUNYING LI3HONG  LUHONG LU3Xiaona  HuangXiaona Huang4Xiaobo  TianXiaobo Tian4Junxiao  LiangJunxiao Liang4Luxia  GongLuxia Gong5Ruyan  PangRuyan Pang5Qiong  LuoQiong Luo6Jinbing  AnJinbing An6*Xiu  ZhuXiu Zhu3*
  • 1School of Nursing and Health, Zhengzhou University, Zhengzhou, China
  • 2School of Nursing, Hebei Medical University, Shijiazhuang, Hebei Province, China
  • 3School of Nursing, Peking University, Beijing, China
  • 4Child Health and Development Section, United Nations Children's Fund China Office, Beijing, China
  • 5Chinese Maternal and Child Health Association, Beijing, China
  • 6School of Health Humanities, Peking University, Beijing, China

The final, formatted version of the article will be published soon.

Background: Postpartum depression (PPD) is a prevalent mental health issue with significant implications for maternal and infant well-being. Despite extensive research, the complex interplay of perinatal factors contributing to PPD remains inadequately characterized. This study utilizes a network analysis approach to identify central depressive symptoms, critical perinatal risk factors, and pathways contributing to PPD among Chinese postpartum women. Methods: A prospective observational study enrolled 377 women from 10 tertiary hospitals in China. Sociodemographic and perinatal factors were assessed shortly after childbirth. At 4–6 weeks postpartum, PPD symptoms were evaluated using the Edinburgh Postnatal Depression Scale (EPDS). Maternal and infant health outcomes, breastfeeding experiences, and family support were captured through self-administered questionnaires. Random forest and Bayesian network analyses were employed to identify influential factors and their interrelationships. Results: Among the participants, 98 women (26.0%, 95% CI: 21.6%-30.7%) screened positive for PPD (EPDS score ≥10). Anxiety/Worry emerged as the most central symptom in the network, with the highest strength and centrality (Degree=0.893, Betweenness=0.888). Key risk factors included breastfeeding challenges (RF=0.752), maternal physical complaints (RF=0.431), and adverse infant health conditions (RF=0.350). Protective effects were observed for prolonged skin-to-skin contact, family support for breastfeeding, and positive childbirth self-perception. Hospital type served as a central bridging node within the network, strongly connected with factors related to peripartum care services, childbirth experience and PPD. Conclusion: This study reveals a significant prevalence of PPD among mothers in China. It underscores the positive impact of skin-to-skin contact, continuous postpartum care and tailored breastfeeding support in addressing PPD. These findings will advance PPD prevention strategies and inform evidence-based clinical practice in postpartum care.

Keywords: postpartum depression, Edinburgh Postnatal Depression Scale, breastfeeding, Network analysis, random forest, Bayesian network, Perinatal risk factors

Received: 02 Apr 2025; Accepted: 08 Oct 2025.

Copyright: © 2025 Zhang, Yao, He, Li, LI, LU, Huang, Tian, Liang, Gong, Pang, Luo, An and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Jinbing An, termison@sina.cn
Xiu Zhu, zhuxiu@bjmu.edu.cn

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