Structural Equation Model of Factors Related to Death Anxiety for Chinese Patients with Cancer.

IF 1.5 4区心理学 Q3 PSYCHOLOGY, MULTIDISCIPLINARY

Omega-Journal of Death and Dying Pub Date : 2024-06-01 Epub Date: 2022-03-11 DOI:10.1177/00302228221078349

Hong Yang, Zhanying Wang, Wenhua Yu, Youhui Gu, Jinxing Shao, Yaru Zhang, Xiaoting Hou, Dongqin Kang, Yuhan Lu

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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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癌症患者死亡焦虑相关因素的结构方程模型。

本研究旨在建立一个模型，通过结构方程模型来确定癌症患者死亡焦虑因素的预测效果。采用方便抽样的方法，从353名癌症患者中收集数据。自我管理问卷包括社会支持量表、Rosenberg自尊量表、Connor Davidson韧性量表、Templer死亡焦虑量表和社会人口学因素。结果表明，社会支持、自尊和恢复力显著影响死亡焦虑。社会支持通过自尊和恢复力介导死亡焦虑。韧性作为中介因素介导自尊对死亡焦虑的缓冲作用。研究结果表明，需要进一步研究，以探索有效的干预措施，为癌症患者提供社会支持，提高自尊和复原力，缓解死亡焦虑。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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