在大学生中,焦虑和睡眠质量之间的相互连接网络结构的创新分析
Yang He1,2,3, Tianqi Yang2, Qingjun Guo3
1School of Psychology, Shanghai Normal University, Shanghai, 200234, People's Republic of China.
Psychology research and behavior management
|March 19, 2025
概括
网络分析揭示了大学生的关键焦虑和睡眠质量症状. "疲劳"和"白天功能障碍"是干预焦虑睡眠障碍并发症的关键目标.
科学领域:
- 心理学 心理学 心理学
- 睡眠医学 睡眠医学
- 网络分析 网络分析
背景情况:
- 焦虑和睡眠质量有着复杂的关系,特别是在大学生中.
- 之前的研究经常使用总分数,缺少详细的症状级相互作用.
- 网络分析提供了一种新的方法来理解这些细微的关联.
研究的目的:
- 通过网络分析,研究大学生焦虑和睡眠质量之间的症状水平关联.
- 识别特定的症状,弥合焦虑和睡眠质量领域.
主要方法:
- 网络分析应用于自评焦虑量表 (SAS) 和匹兹堡睡眠质量指数 (PSQI) 的数据.
- 这项研究研究了大学生群体中焦虑和睡眠质量症状之间的关联.
主要成果:
- 该网络揭示了焦虑和睡眠质量症状之间的47个显著关联.
- "主观睡眠质量"",白天功能障碍"",恐慌"",头"",疲劳"和"睡眠障碍"显示了高的网络中心性.
- "疲劳"和"白天功能障碍"在各自的症状社区中表现出最高的桥梁中心性.
结论:
- 网络分析强调了大学生焦虑和睡眠质量之间的复杂病理相关性.
- "主观睡眠质量"",白天功能障碍"",恐慌"",头"",疲劳"和"睡眠障碍"是潜在的干预目标.
- 中心性和桥梁中心性指标可以指导干预措施,以减少焦虑睡眠障碍的并发症.
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