Network analysis of post-traumatic stress disorder symptoms in stroke patients.

ABSTRACT:

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 mode

SUBMITTER: Li Y 

PROVIDER: S-EPMC12488678 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature