数字睡眠障碍:通过网络分析解开技术使用和睡眠问题的网络结构
Haoqing Gan1,2, Lingjia Xu2,3, Chenglin Tong1,2
1Department of Emergency, Shaoxing Second Hospital, Shaoxing, Zhejiang, China.
CNS neuroscience & therapeutics
|February 16, 2026
概括
技术使用显著影响睡眠. 蓝光暴露和昼夜节律扰乱是关键因素,其他数字习惯间接贡献. 了解这些联系对于在数字时代改善睡眠质量至关重要.
科学领域:
- 数字健康数字健康
- 睡眠科学 睡眠科学
- 网络分析 网络分析
背景情况:
- 在数字时代,睡眠问题越来越令人担忧.
- 之前的研究经常孤立地检查技术睡眠的联系.
- 这项研究使用网络分析来探索相互关联的数字因素和睡眠问题.
研究的目的:
- 研究多种技术相关因素与睡眠问题之间的复杂关系.
- 确定直接和间接的途径,将数字行为与睡眠障碍联系起来.
- 为针对技术诱导的睡眠问题进行干预提供经验指导.
主要方法:
- 对9443名中国成年人的网络分析.
- 评估屏幕时间,设备使用,社交媒体焦虑,信息过载,蓝光暴露,昼夜节律,游戏成和工作与生活融合.
- 被排除的参与者有睡眠障碍,轮班工作或最近的时区旅行.
主要成果:
- 蓝光暴露显示出与睡眠问题的最强直接联系 (r=0.31).
- 循环节律障碍也是一个显著的直接因素 (r=0.26).
- 屏幕时间,睡前使用设备和虚拟社会压力通过诸如在线游戏成和社交媒体焦虑等媒介产生间接影响.
结论:
- 网络分析揭示了技术使用与睡眠问题之间的多方面的联系.
- 干预措施应解决直接的生理影响 (如蓝光) 和间接的心理路径.
- 识别高中心性因素为缓解技术引起的睡眠障碍提供了有针对性的策略.
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