Evidence map›Paper›PMID 42137531›Full record

ArticleFrontiers in psychiatry2026

Network structure analysis of post-traumatic stress and depressive symptoms among college students: identification of central and bridge symptoms.

Yongtao Yan, Zongyu Liu, Haitao Niu

Abstract read
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Article in Frontiers in psychiatry, 2026. 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yongtao YanSchool of Physical Education, Shenzhen Polytechnic University, Shenzhen, China.
Zongyu LiuDepartment of Sports Science, College of Education, Zhejiang University, Hangzhou, China.
Haitao NiuSchool of Physical Education, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The comorbidity between post-traumatic stress disorder (PTSD) and depression has received increasing attention among college students; however, the interaction mechanisms at the symptom level remain unclear. This study employed network analysis to construct a cross-diagnostic network structure of post-traumatic stress and depressive symptoms among college students, identifying central symptoms and bridge symptoms to provide empirical evidence for precision-oriented psychological interventions. Methods: A cross-sectional survey was conducted among 501 college students from a Chinese university using the Impact of Event Scale-Revised (IES-R) and the Patient Health Questionnaire-9 (PHQ-9). A Gaussian Graphical Model (GGM) combined with graphical LASSO was used to construct the symptom network. Expected Influence (EI) was calculated to identify central symptoms, and Bridge Expected Influence (Bridge EI) was used to identify bridge symptoms connecting post-traumatic stress and depressive domains. Network accuracy and stability were examined using bootstrap procedures. Results: The symptom network revealed complex connectivity patterns among 31 symptom nodes. Central symptom analysis indicated that H2 (nervousness/exaggerated startle response, EI = 1.38), I4 (involuntary recall, EI = 1.33), and H4 (difficulty concentrating, EI = 1.09) exhibited the highest expected influence. Bridge symptom analysis showed that I8 (trauma-related dreams, Bridge EI = 0.88), H1 (irritability, Bridge EI = 0.85), and I7 (intense emotional fluctuations, Bridge EI = 0.80) were key bridges connecting the post-traumatic stress and depressive dimensions. The network demonstrated good stability, with a CS-coefficient of 0.75. Conclusion: Nervousness/exaggerated startle response and involuntary recall are central symptoms in the post-traumatic stress-depression network among college students, while trauma-related dreams, irritability, and emotional fluctuations serve as key bridge symptoms connecting the two disorders. Clinical interventions should prioritize these hub symptoms to maximize treatment efficacy and disrupt cross-diagnostic symptom connectivity.

Indexed as

bridge symptomscollege studentsdepressionmental healthnetwork analysispost-traumatic stress

Identifiers

PMID42137531
PMCPMC13168108

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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.