ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Anxiety and Stress Disorders
Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1663366
Network analysis of post-traumatic stress disorder symptoms in stroke patients
Provisionally accepted
Yingying Li1*
Zhang Zhenmei2- 1Qilu Institute of Technology (QIT), Jinan, China
- 2Shandong First Medical University, Jinan, China
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Background Stroke patients have a high incidence of Post-traumatic stress disorder (PTSD). Previous studies on PTSD in stroke patients mainly focus on the risk factors and possible harms caused by PTSD and use the overall score to explain the severity of PTSD. The interconnections and effects of symptoms are ignored. Network analysis is a statistical method that can discover and visualize complex relationships between multiple variables. The purpose of this study was to identify the central and core symptoms in the symptom network of PTSD in stroke patients. Methods 315 patients diagnosed with cerebral apoplexy were selected as the study objects. Symptoms of PTSD were assessed using the Event Impact Scale (IES-R). The graph Gaussian model is used to estimate the network model. To clarify the network relationship and core symptoms of PTSD in stroke patients. The network's stability and accuracy are tested using the discard example method and non-parametric bootstrap method. Result The network analysis found that A11 (I tried not to think about it) has the most substantial relationship with I3 (Other things kept making me think about it). I6 (I thought about it when I didn't mean to) has the most substantial relationship with I9 (Pictures about it popped into my mind). "I was jumpy and easily startled"(H10) is the core symptom of PTSD in stroke patients. The network structure is suitable for stability and accuracy tests. Conclusion It is possible to reduce the severity of PTSD in stroke patients and promote their personal growth by taking timely intervention measures according to the identified central symptoms of PTSD.
Keywords: PTSD, Stroke, Network analysis, Post-traumatic stress disorder, Symptoms
Received: 26 Jul 2025; Accepted: 28 Aug 2025.
Copyright: © 2025 Li and Zhenmei. 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: Yingying Li, Qilu Institute of Technology (QIT), Jinan, China
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