Evidence map›Paper›PMID 41872947›Full record

ArticleReproductive health2026

A network analysis of post-traumatic stress disorder, anxiety, and depression in women with pregnancy loss.

Wenjun Fu, Xiujuan Wang, Lintao Nie, Juan Ding, Qingqing Shao, Ruoming Wang, Ke Zhao, Quanhui Li, Yali Li, Xiao Ma

Abstract read
In one paragraph

Article in Reproductive health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

10 authors.

Wenjun Fu *Department of Obstetrics, The First Affiliated Hospital of Zhengzhou university, Zhengzhou, Henan Province, 450052, China.
Xiujuan Wang *Department of Obstetrics, The First Affiliated Hospital of Zhengzhou university, Zhengzhou, Henan Province, 450052, China.
Lintao NieDepartment of Obstetrics, The First Affiliated Hospital of Zhengzhou university, Zhengzhou, Henan Province, 450052, China.
Juan DingDepartment of Nursing, The First Affiliated Hospital of Zhengzhou university, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan Province, 450052, China. dingjuan241@163.com.
Qingqing ShaoDepartment of Obstetrics, The First Affiliated Hospital of Zhengzhou university, Zhengzhou, Henan Province, 450052, China.
Ruoming WangDepartment of Obstetrics, The First Affiliated Hospital of Zhengzhou university, Zhengzhou, Henan Province, 450052, China.
Ke ZhaoDepartment of Obstetrics, The First Affiliated Hospital of Zhengzhou university, Zhengzhou, Henan Province, 450052, China.
Quanhui LiDepartment of Obstetrics, The First Affiliated Hospital of Zhengzhou university, Zhengzhou, Henan Province, 450052, China.
Yali LiDepartment of Obstetrics, Women & infants Hospital of Zhengzhou, Zhengzhou, Henan Province, 450052, China.
Xiao MaDepartment of Obstetrics, The First Affiliated Hospital of Zhengzhou university, Zhengzhou, Henan Province, 450052, China.

Funding

Key Scientific Research Project Plan of Colleges and Universities in Henan Province 26A320048Key Scientific Research Project Plan of Colleges and Universities in Henan Province 26A320054Medical Science and Technology Project of Henan Province SBGJ202103077Nursing Research Fund of the First Affiliated Hospital of Zhengzhou University HLKY2023015
6 · The paper itself

Abstract

backgroundPregnancy loss represents a significant public health concern within the realm of female reproductive health. In the current landscape of research, post-traumatic stress disorder (PTSD), anxiety, and depression are often investigated as an undifferentiated whole. However, this approach overlooks the unique symptomatic relationships and nuances that may exist among these mental health conditions in women who have endured pregnancy loss.

objectiveThis study aimed to dissect the symptomatic interconnections among PTSD, anxiety, and depression in women who have experienced pregnancy loss.

methodsA cross-sectional study was carried out at a tertiary hospital in Zhengzhou, China. Women with pregnancy loss were surveyed using a general information questionnaire, the Posttraumatic Stress Disorder Checklist-Civilian Version, and the Hospital Anxiety and Depression Scale. Network analysis was performed using R software to examine pairwise associations among symptoms, identify core symptoms (i.e., key nodes with the strongest connectivity within the network), and detect bridge symptoms (i.e., symptoms that link post-traumatic stress, anxiety, and depressive symptom clusters). We also evaluated the accuracy and stability of the estimated network structure.

resultsOf the 691 women with pregnancy loss included in the analyses, PTSD entry 6 (Try to avoid thoughts and feelings that remind you of it) and PTSD entry 7 (Make an effort to avoid conversations, people, places and activities that remind you of the matter) had the strongest association, with a regularized partial correlation coefficient of 0.485. PTSD entry 7 was the most central symptom in the network, with a centrality strength of 1.748. Entry 5 (Muscle tension, shortness of breath, rapid heartbeat, dry mouth, and stomach cramps) had the strongest bridging effect. The accuracy and stability of the network was tested to be better, and the network model was more reliable.

conclusionsThrough the innovative application of network analysis, this study successfully explored the associations between PTSD items and symptoms of anxiety and depression in women with pregnancy loss. By identifying the core and bridging symptoms, it provides valuable insights into the underlying mechanisms of these co-occurring mental health conditions.

Indexed as

Abortion, SpontaneousAnxietyDepressionStress Disorders, Post-TraumaticAdultChinaCross-Sectional StudiesFemaleHumansPregnancyAnxietyDepressionNetwork analysisPregnancy lossPTSD

Identifiers

PMID41872947
PMCPMC13130444

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LicenceCC BY-NC-ND
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Registered trials

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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.