网络分析抑郁情绪抑制数字倦怠和保护心理因素的网络分析
1Department of Psychology, School of Education and Teach, Ningxia University, Yinchuan, 750021, Ningxia Province, China.
Scientific reports
|May 12, 2025
概括
压抑情绪与抑郁症和数字倦怠有很强的联系. 弹性和正念等保护因素形成了一个单独的集群,建议在数字时代为心理健康采取综合干预措施.
科学领域:
- 心理学 心理学 心理学
- 心理健康 心理健康
- 网络分析 网络分析
背景情况:
- 抑郁症是全球重要的健康问题.
- 数字倦怠是数字时代的一个新兴压力因素.
- 了解情绪调节和保护因素的相互作用对心理健康至关重要.
研究的目的:
- 调查抑郁症,数字倦怠,情绪调节和心理保护因素的网络结构.
- 为了确定这个心理网络中的关键节点和关系.
- 探索数字倦怠作为抑郁症潜在调解者的作用.
主要方法:
- 在大样本 (N=9400) 上使用EBIC-GLASSO规范化技术进行网络分析.
- 构建一个心理网络模型,包括抑郁症,数字倦怠,弹性,自我同情,情绪抑制,正念和睡眠质量.
- 进行了网络稳定性和社区检测分析.
主要成果:
- 压抑情绪成为最核心的节点,与抑郁和数字倦怠密切相关.
- 数字倦怠和情绪抑制形成了一个风险因素社区,而弹性,自我同情和正念构成了保护因素社区.
- 睡眠质量和弹性分别与抑郁症和数字倦怠有负面关联.
结论:
- 情绪调节,特别是情绪抑制,在抑郁症和数字倦怠中起着关键作用.
- 推数字健康和综合干预,重点关注多种保护因素 (弹性,自我同情,正念),以促进心理健康.
- 这些发现为数字时代的抑郁症提供了新的见解,为临床实践和公共卫生政策提供了信息.
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