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作者

Yingying Li, Yanchun Li, Zhenmei Zhang

作者单位

Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China. Affiliations ¹ School of Medicine, Qilu Institute of Technology, Jinan, Shandong, China. ² School of Nursing, Qilu Medical University, Zibo, Shandong, China. ³ Department of Nursing, Shandong Provincial Hospital Affiliated to Shandong First Medical University

刊名

Frontiers in psychiatry

年份

2025

卷号

Vol.16

页码

1663366

ISSN

1664-0640

关键词

PTSD network analysis post-traumatic stress disorder stroke symptoms.

摘要

Background: Stroke patients have a high incidence of Post-traumatic stress disorder . 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 ...更多

Background: Stroke patients have a high incidence of Post-traumatic stress disorder . 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 . 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 has the most substantial relationship with I3 . I6 has the most substantial relationship with I9 . 'I was jumpy and easily startled' 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.收起

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