患者对疾病的恐惧 - 网络分析
Xiaoxiao Yin1, Shan Niu1, Qun Yu1
1Nursing Department, The Second Affiliated Hospital Zhejiang University School of Medicine (SAHZU), Hangzhou, China.
Frontiers in neurology
|March 22, 2024
概括
这项研究揭示了患者相互关联的恐惧症状,确定了针对性干预的关键领域. 发作频率并没有改变与疾病相关的恐惧网络结构.
科学领域:
- 精神病学是一个精神病学.
- 神经学 神经学
- 医学心理学 医学心理学
背景情况:
- 与疾病相关的恐惧显著影响患者的生活质量.
- 疾病相关恐惧量表 (D-RFS) 用于评估恐惧,但其内部结构和项目归因需要澄清.
- 了解疾病相关恐惧的结构对于开发有效的干预措施至关重要.
研究的目的:
- 为D-RFS建立一个适当的维度结构.
- 通过网络分析,研究患者恐惧症状领域之间的相互关系.
- 确定疾病相关恐惧的核心变量和潜在干预目标.
主要方法:
- 一项对609名患者的横截面调查,使用中文版本的D-RFS.
- 探索性网络分析以确定恐惧症状的结构.
- 网络分析,包括中心性指数,以检查基于发作频率的症状相互关系和差异.
主要成果:
- 与疾病相关的恐惧症状形成了一个相互连接的网络,没有孤立的症状.
- 特定的症状组 (节点3和4) 显示出最强的中心性.
- 发作频率没有显著改变恐惧症状的网络结构.
结论:
- 为D-RFS建立了一个新的5维结构.
- 患者的与疾病相关的恐惧是通过网络视角来概念化的.
- 这些发现为干预提供了潜在的目标,并为未来关于相关恐惧的研究提供了洞察力.
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