探索青少年互联网成,焦虑和孤独之间的动态相互作用:一个纵向交叉滞后面板模型模型
1Faculty of Education, Yunnan Normal University, Kunming, China.
Frontiers in psychiatry
|December 25, 2025
概括
青少年互联网成 (IA) 预测了以后的焦虑和孤独. 孤独也预测了焦虑的增加,强调这些作为干预年轻人的关键目标.
科学领域:
- 心理学 心理学 心理学
- 公共卫生 公共卫生
- 数字福利 数字福利
背景情况:
- 互联网成 (IA) 在青少年中是一个日益严重的全球性问题.
- 艾滋病常与焦虑和孤独等心理健康问题同时发生.
- 了解AI,焦虑和孤独之间的相互作用对于青少年福祉至关重要.
研究的目的:
- 调查青少年互联网成,焦虑和孤独之间的动态相互关系.
- 为了检查这些三个因素之间的因果路径,随着时间的推移.
主要方法:
- 对中国1720名中学生进行长度两波研究.
- 使用了互联网成测试 (IAT),GAD-7和UCLA孤独度量表.
- 采用交叉滞后面板模型 (CLPM) 来分析时间关系.
主要成果:
- 互联网成 (IA) 显示时间稳定.
- 预测AI显著增加了焦虑和孤独的预测.
- 孤独是随后焦虑水平的重要预测因素.
结论:
- 这些发现支持并扩展了补偿性互联网使用模型.
- 经验证据强调了影响青少年心理健康的动态机制.
- 对中国青少年的临床和政策干预来说,AI和孤独是关键目标.
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