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Published on: March 17, 2020
Resilience in Patients With Lung Cancer: Structural Equation Modeling
Jie Zhang1, Yizhen Yin, Anni Wang
1Author Affiliations: Nursing Psychology Research Center of XiangYa School of Nursing, Central South University (Dr Jie Zhang, Mrs Yang, Mss Juan Li and Wu, and Dr Jingping Zhang); and Hunan Provincial People's Hospital (Mrs Yin), Changsha; School of Nursing, Fudan University, Shanghai (Dr Wang); and West China Hospital of Sichuan University, Chengdu (Ms Hui Li), China.
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.
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