Resilience in Patients With Lung Cancer: Structural Equation Modeling.

BACKGROUND:Resilience is important for patients with cancer. However, the relationships among factors affecting the resilience of patients with lung cancer have not been studied sufficiently. OBJECTIVE:The aim of this study was to clarify the relationships among social support, resilience, self-efficacy, and symptom distress among patients with lung cancer. METHODS:Through simple random sampling, 303 patients with lung cancer from 4 tertiary hospitals in Changsha, China, were recruited for a cross-sectional descriptive correlational survey. Data were collected using demographic and disease-related information, the Connor-Davidson Resilience Scale, Strategies Used by People to Promote Health, the Perceived Social Support Scale, and the Symptom Distress Scale. RESULTS:Patients' mean total resilience score was 50.01 ± 15.25. The fit indices for the model indicated a good fit. Social support had multiple effects on resilience; specifically, it had direct and indirect effects through the mediating role of self-efficacy. Symptom distress had only an indirect effect on resilience through self-efficacy. CONCLUSIONS:Social support, symptom distress, and self-efficacy are key factors associated with resilience in patients with lung cancer. These factors had direct and indirect effects on each other and on resilience. IMPLICATIONS FOR PRACTICE:To enhance resilience among patients with lung cancer, interventions that strengthen self-efficacy, provide social support, and reduce symptom distress should be developed.