Abstract
This study aimed to develop a model that specifies the predictive effects of factors on death anxiety among Chinese patients with cancer using structural equation modeling. Using convenience sampling, data were collected from 353 cancer patients. Self-administered questionnaires included Social Support Rating Scale, Rosenberg Self-Esteem Scale, Connor Davidson Resilience Scale, Templer's Death Anxiety Scale, and socio-demographic factors. The results showed that social support, self-esteem, and resilience significantly impacted death anxiety. The final model fitted the data acceptably (χ2 = 37.319, df =31, p = 0.201). Social support mediated death anxiety through self-esteem and resilience. Resilience mediated the buffer effect of self-esteem on death anxiety as an intermediary factor. Findings suggest the need for further studies to explore effective interventions to provide social support and improve self-esteem and resilience among patients with cancer to alleviate death anxiety.
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