Evidence map›Paper›PMID 40110008›Full record

ArticleWorld journal of psychiatry2025

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

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Article in World journal of psychiatry, 2025. 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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5 · Who and what money

Authors and funding

8 authors.

Yue LiDepartment of Cardiovascular Medicine, The Second People's Hospital of Guiyang, Guiyang 550023, Guizhou Province, China.
Liang-Hong WangDepartment of Cardiovascular Medicine, The Second People's Hospital of Guiyang, Guiyang 550023, Guizhou Province, China.
Huan ZengDepartment of Cardiovascular Medicine, The Second People's Hospital of Guiyang, Guiyang 550023, Guizhou Province, China.
Yan ZhaoDepartment of Cardiovascular Medicine, The Second People's Hospital of Guiyang, Guiyang 550023, Guizhou Province, China.
Yao-Qiong LuDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Tian-Ying ZhangDepartment of Cardiovascular Medicine, The Second People's Hospital of Guiyang, Guiyang 550023, Guizhou Province, China.
Hai-Bin LuoDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Feng TangDepartment of Cardiovascular Medicine, The Second People's Hospital of Guiyang, Guiyang 550023, Guizhou Province, China. tangfengxin@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA 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.

aimTo 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.

methodsA 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.

resultsPost-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.

conclusionThe 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.

Indexed as

Core symptomsInfluencing factorsPercutaneous coronary interventionSense of psychological coherenceSymptom network

Identifiers

PMID40110008
PMCPMC11886314

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