通过互联网搜索引擎检查人口情绪健康趋势的新视角:一个新兴的复合焦虑和抑郁指数
Yu Wang1,2, Heming Deng2, Sunan Gao2
1Center for Applied Statistics, Renmin University of China, Beijing 100872, China.
International journal of environmental research and public health
|February 24, 2024
概括
这项研究引入了一个新的综合焦虑和抑郁指数 (CADI),使用在线数据来跟踪人口的心理健康. 糟糕的经济状况和高昂的医疗费用与增加的焦虑和抑郁症有关.
科学领域:
- 计算社会科学 计算社会科学
- 心理评估 心理评估
- 公共卫生信息学 公共卫生信息学
背景情况:
- 传统的心理健康评估与群体趋势分析作斗争.
- 在线数据为研究人口情绪及其相关因素提供了新的机会.
- 现有的方法缺乏区域精神健康的动态指标.
研究的目的:
- 开发一种新的指数,用于评估人口层面的心理健康趋势.
- 探索公共心理健康与社会经济因素之间的关系.
- 验证一种新的数据驱动的精神健康监测方法.
主要方法:
- 从社交媒体文本构建了一个公众论词典 (POD).
- 使用POD,词向量和搜索趋势开发了复合焦虑和抑郁指数 (CADI).
- 与外部数据 (CHARLS) 相对验证的CADI和使用的回归分析.
主要成果:
- CADI有效地表明了区域心理健康水平和精神障碍的患病率.
- 负面的经济发展和高昂的医疗费用与较差的公共心理健康有很大关系.
- 可支配收入和失业率显示出不同GDP子组中的特定关联.
结论:
- 综合焦虑和抑郁指数 (CADI) 为监测人口心理健康提供了一个可行的工具.
- 经济和医疗负担显著影响公众的心理健康.
- 在线数据分析为公共心理健康研究和监测提供了一个有希望的途径.
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