Analysis Impact of Positive Psychological Capital on Quality of Life Among Patients Post Percutaneous Coronary Intervention: A Cross-Sectional Study.

Objective: Using network analysis, this study examined the interactions between positive psychological capital (PsyCap) and quality of life (QoL) in patients after percutaneous coronary intervention (PCI), identifying core psychological dimensions and cross-domain bridging symptoms to inform targeted psychological interventions. Methods: In this cross-sectional study, 186 post-PCI patients were enrolled. PsyCap dimensions (resilience, optimism, hope, self-efficacy) were measured with the Positive Psychological Capital Scale (PPC), and QoL domains (physical strength, illness, medical conditions, daily activities, social psychology, work status) were assessed using the Chinese Quality of Life Questionnaire for Cardiovascular Patients (CQQC). Gaussian graphical models combined with LASSO regularization were employed to construct network structures. Centrality and bridge strength analyses identified key nodes, and bootstrap resampling was used to evaluate network stability. Results: PsyCap demonstrated a dual-core structure comprising "self-efficacy-hope" and "resilience-optimism." Among QoL dimensions, the strongest interaction was observed between "daily activities" and "social psychology." "hope" emerged as the central hub within the PsyCap network and a critical bridge node, forming a robust link with the "daily function" domain of QoL. Stability analyses confirmed high network reliability, with statistically significant differences in edge weights and node strength. Conclusion: As the first application of network analysis in this population, this study elucidates the multilevel psychological rehabilitation mechanisms post-PCI and reveals that "hope" is associated with synergistic improvements in both PsyCap and QoL through the integration of goal-directed cognitive and behavioral activation. These findings transcend conventional unidimensional intervention approaches and provide actionable network-based targets for implementing integrated psychological-functional rehabilitation models.