网络分析体育活动,睡眠障碍,抑郁和大学生焦虑之间的相互关系
Jinwei Yang1, Wei Li1, Xi Jin2
1Key Laboratory of Basic Research and Health Management on Chronic Diseases in Heilongjiang Province, Harbin Medical University, Daqing Campus, Xinyang Street 39, Daqing, 163319, Heilongjiang Province, China.
BMC psychiatry
|October 1, 2025
概括
这项研究利用网络分析,发现了大学生身体活动,睡眠,焦虑和抑郁症之间的关键症状. 针对"白天功能障碍"和"睡眠质量"可能会改善心理健康.
科学领域:
- 心理健康研究 心理健康研究
- 行为科学 行为科学
- 卫生中的网络分析.
背景情况:
- 身体活动,睡眠障碍,焦虑和抑郁之间的相互作用是复杂的.
- 以前的研究往往忽视了症状相互作用和触发效应.
- 本研究利用网络视角来分析这些关系.
研究的目的:
- 探索身体活动和睡眠障碍的症状网络.
- 在这个网络中识别核心和桥梁症状.
- 研究身体活动和睡眠障碍对抑郁和焦虑的影响.
主要方法:
- 利用4683名大学生的数据使用体力活动量表-3,匹兹堡睡眠质量指数量表,自我评价抑郁症量表和自我评价焦虑量表.
- 使用斯皮尔曼相关性来检查变量关系.
- 应用网络分析和流网络来绘制症状连接和影响的地图.
主要成果:
- 身体活动与睡眠障碍,抑郁和焦虑有负相关性.
- 睡眠障碍与抑郁和焦虑正面相关.
- 确定了"睡眠质量"和"白天功能障碍"作为核心症状",白天功能障碍"和"身体活动强度"作为身体活动-睡眠网络中的桥梁症状.
- "身体活动频率"和"白天功能障碍"与抑郁症有显著的相关性.
- "睡眠障碍"和"身体活动频率"与焦虑有很强的相关性.
结论:
- 该研究成功地绘制了身体活动和睡眠障碍的症状网络.
- 确定了影响焦虑和抑郁的关键症状.
- 针对已识别的核心和桥梁症状提供了一个潜在的策略,以减轻负面的心理健康结果,并提高大学生福祉.
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