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数字媒体使用和抑郁症状之间的网络动态:使用生态瞬间评估的计算表型方法

Yuting Zhan¹, Yu Wang²

¹Department of Psychology, School of Education and Teach, Ningxia University, Yinchuan, Ningxia Province, 750021, China.

Psychiatry research

|December 18, 2025

概括

数字媒体的使用对心理健康有多种影响,与抑郁症相关的不同模式. 识别这些模式可以帮助为年轻人定制干预措施.

科学领域:

数字心理健康数字心理健康
计算精神病学是一种计算精神病学.
心理学中的网络分析.

背景情况:

目前关于数字媒体使用和心理健康的研究缺乏对特定时间动态和机制的理解.
调查数字行为和心理健康之间的复杂相互作用对公共卫生至关重要.
由于使用率很高,年轻人是研究数字媒体影响的一个关键人口统计数据.

研究的目的:

用密集的纵向方法检查数字行为模式和抑郁症状之间的复杂网络关系.
识别数字媒体使用的不同类型及其与心理状态的关联.
探索环境背景和个体差异如何调节这些关联.

主要方法:

在60天内收集了1642名年轻成年人的生态瞬间评估 (EMA) 数据.
利用多级向量自回归建模与L1规范化来构建时间网络.
分析了智能手机使用指标,数字参与和瞬间的心理状态.

主要成果:

确定了四种网络类型:社会比较,时间移位,被动消费和主动沟通.
社会比较 (高社交媒体使用,负面自我评估) 和时间移位 (夜间使用,认知症状) 显示与抑郁症有显著的关联.
被动消费与无快感症状有关,而积极沟通显示出对孤独的保护作用. 网络结构因性别而异,在社会隔离期间被放大.

结论:

数字媒体的使用通过异质的途径与心理功能有关,而不是单一的效应.
来自网络分析的计算表型可以描述个人的数字媒体使用模式.
这些发现支持开发针对亚临床抑郁症状的个性化数字福祉干预措施.

关键词:

计算的表型化计算的表型化.抑郁症抑郁症抑郁症数字媒体是数字媒体.生态瞬间评价生态瞬间评价网络分析网络分析症状动态症状动态使用技术使用技术.

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