Evidence mapPaperPMID 40420034Full record

ArticleBMC psychiatry2025

Network analysis of depression and anxiety symptoms and their associations with cognitive fusion among pregnant women.

Haiyan Liu, Fanyan Huang, Yaqin Gao, Muyao Wang, Qianzhi Lin, Youjing Kong, Rufang Zhou, Chichen Zhang, Yu Chen

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

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5citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Stable structure, shifting links: How depression-anxiety symptom networks reconfigure from pregnancy to postpartum.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Haiyan Liu *School of Nursing, Southern Medical University, Guangzhou, China.
Fanyan Huang *School of Nursing, Southern Medical University, Guangzhou, China.
Yaqin Gao *School of Nursing, Southern Medical University, Guangzhou, China.
Muyao WangSchool of Nursing, Southern Medical University, Guangzhou, China.
Qianzhi LinSchool of Nursing, Southern Medical University, Guangzhou, China.
Youjing KongSchool of Nursing, Southern Medical University, Guangzhou, China.
Rufang ZhouSchool of Nursing, Southern Medical University, Guangzhou, China.
Chichen ZhangSchool of Health Management, Southern Medical University, Guangzhou, China. zhangchichen@sina.com.
Yu ChenSchool of Nursing, Southern Medical University, Guangzhou, China. 958977423@qq.com.

Funding

2022 Ministry of Education Industry School Cooperation Collaborative Education Project 220605695305103Graduate Education Reform Project of Southern Medical University in 2022 Xiaoyanzi〔2023〕No. 21Southern Medical University 2023 Undergraduate Innovation and Entrepreneurship Training Program S202312121143the National Natural Science Foundation of China 72274090
6 · The paper itself

Abstract

backgroundPregnant women often exhibit comorbidities of depression and anxiety, adversely affecting maternal and foetal health. Cognitive fusion is a cognitive process in which individuals excessively identify with ideas, and it is closely related to depression and anxiety; however, their symptom-level associations are still unclear. Network analysis provides a robust method to reveal important associations between symptoms. This study employed network analysis to explore the characteristics of depression and anxiety symptoms in pregnant women and their relationship with cognitive fusion.

methodsThis cross-sectional study was conducted from June 2021 to August 2023 at two Asian hospital obstetric outpatient clinics in Guangzhou and Zhongshan, Guangdong Province, China, and included a total of 1691 pregnant women. Depression, anxiety symptoms and cognitive fusion were measured with the Edinburgh Postpartum Depression Scale (EPDS), the seven-item Generalized Anxiety Disorder Scale (GAD-7), and the Cognitive Fusion Questionnaire-Fusion (CFQ-F), respectively. Central and bridge symptoms were identified via centrality indices and bridge centrality indices. Network stability and accuracy were estimated.

resultsThe prevalence of depression (EPDS score ≥ 9) was 43.00% (95% confidence interval [CI]: 40.60-45.40%), the prevalence of anxiety (GAD-7 score ≥ 7) was 31.70% (95% CI: 29.50-33.90%), and the prevalence of comorbid depression and anxiety (EPDS score ≥ 9 and GAD-7 score ≥ 7) was 25.00% (95% CI: 22.90-27.10%). "Sad or miserable", "trouble relaxing" and "scared or panicked" were the central symptoms in the whole depression‒anxiety network. "Feeling afraid", "scared or panicked" and "trouble relaxing" were the key bridge symptoms linking depression and anxiety. Three symptoms ("excessive worry", "nervousness" and "sleep difficulties") were the strongest edges connected to cognitive fusion.

conclusionsThis study identified the central and bridging symptoms of depression and anxiety in pregnant women using network analysis, as well as their relationships with cognitive fusion. The results highlight the clinical relevance of these symptoms in perinatal mental health management. Close monitoring of these symptoms may be crucial for reducing depression and anxiety in pregnant women. Further research is needed to verify whether these symptoms are actionable treatment priorities. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AnxietyCognitionDepressionPregnancy ComplicationsPregnant PeopleAdultChinaCross-Sectional StudiesFemaleHumansPregnancyPrevalencePsychiatric Status Rating ScalesYoung AdultAnxietyCognitive fusionDepressionNetwork analysisPregnant people

Identifiers

PMID40420034
PMCPMC12105220

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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 Socratic graph.