Observational Study
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Mar 19, 2025; 15(3): 102571
Published online Mar 19, 2025. doi: 10.5498/wjp.v15.i3.102571
Psychological consistency network characteristics and influencing factors in patients after percutaneous coronary intervention treatment
Yue Li, Liang-Hong Wang, Huan Zeng, Yan Zhao, Yao-Qiong Lu, Tian-Ying Zhang, Hai-Bin Luo, Feng Tang
Yue Li, Liang-Hong Wang, Huan Zeng, Yan Zhao, Tian-Ying Zhang, Feng Tang, Department of Cardiovascular Medicine, The Second People’s Hospital of Guiyang, Guiyang 550023, Guizhou Province, China
Yao-Qiong Lu, Department of Cardiovascular Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
Hai-Bin Luo, Department of Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
Co-first authors: Yue Li and Huan Zeng.
Co-corresponding authors: Hai-Bin Luo and Feng Tang.
Author contributions: Li Y formally analyzed and wrote the original manuscript; Li Y, Zeng H, Zhao Y, Lu YQ, and Zhang TY contributed to the project management of the manuscript; Li Y and Zeng H contributed equally to this article, they are the co-first authors of this manuscript; Li Y and Wang LH organized the data; Li Y and Tang F conceptualized the manuscript; Luo HB contributed to the investigation of the manuscript; Luo HB, Tang F, and Li Y provided resources; Luo HB and Tang F supervised, wrote, reviewed and edited the manuscript, they contributed equally to this article, they are the co-corresponding authors of this manuscript; and all authors have read and agreed to the published version of the manuscript.
Supported by the Self-funded Research Project of Health Commission of Guangxi Zhuang Autonomous Region, No. Z-A20220509.
Institutional review board statement: This study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Guangxi Medical University, approval No. 2023-E236-01.
Informed consent statement: The participants were informed of intervention methods of this study at the time of recruitment. Each participant voluntarily took part in this study and signed informed consent.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: Upon reasonable request, the study data can be obtained from the corresponding author.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Feng Tang, Chief Physician, PhD, Department of Cardiovascular Medicine, The Second People’s Hospital of Guiyang, No. 547 Jinyang South Road, Guanshanhu District, Guiyang 550023, Guizhou Province, China. tangfengxin@163.com
Received: November 21, 2024
Revised: December 30, 2024
Accepted: January 14, 2025
Published online: March 19, 2025
Processing time: 96 Days and 20.9 Hours
Abstract
BACKGROUND

A psychological sense of coherence (SOC) in percutaneous coronary intervention (PCI) patients is important for disease prognosis, and there is considerable variation between their symptoms. In contrast, network analysis provides a new approach to gaining insight into the complex nature of symptoms and symptom clusters and identifying core symptoms.

AIM

To explore the psychological coherence of symptoms experienced by PCI patients, we aim to analyze differences in their associated factors and employ network analysis to characterize the symptom networks.

METHODS

A total of 472 patients who underwent PCI were selected for a cross-sectional study. The objective was to investigate the association between general patient demographics, medical coping styles, perceived stress status, and symptoms of psychological coherence. Data analysis was conducted using a linear regression model and a network model to visualize psychological coherence and calculate a centrality index.

RESULTS

Post-PCI patients exhibited low levels of psychological coherence, which correlated with factors such as education, income, age, place of residence, adherence to medical examinations, perceived stress, and medical coping style. Network analysis revealed that symptoms within the sense of psychological coherence were strongly interconnected, particularly with SOC2 and SOC8, demonstrating the strongest correlations. Among these, SOC10 emerged as the symptom with the highest intensity, centrality, and proximity, identifying it as the most central symptom.

CONCLUSION

The network model has strong explanatory power in describing the psychological consistency symptoms of patients after PCI, identifying the central SOC symptoms, among which SOC10 is the key to overall SOC enhancement, and there is a strong positive correlation between SOC2 and SOC8, emphasizing the need to consider the synergistic effect of symptoms in intervention measures.

Keywords: Percutaneous coronary intervention; Symptom network; Core symptoms; Sense of psychological coherence; Influencing factors

Core Tip: This study employs network analysis to investigate the core symptoms of sense of coherence (SOC) in post-percutaneous coronary intervention patients, assessing coping styles and perceived stress. It reveals that low SOC is linked to medical coping and stress. Network analysis identified central SOC symptoms, with SOC10 being pivotal for overall SOC enhancement. The study also notes a strong positive correlation between SOC2 and SOC8, emphasizing the need to consider symptom synergy in interventions.