在计算机介导的健康平台上提出的人与焦虑相关的担忧的主题建模和内容分析
1School of Applies Foreign Languages, Zhejiang International Studies University, Hangzhou, 310023, China.
Scientific reports
|November 11, 2024
概括
中国人经常表达焦虑的担忧,特别是关于耳恐惧症和神经症. 了解这些普遍的主题可以改善焦虑诊断和干预策略.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 计算语言学 计算语言学
- 公共卫生 公共卫生
背景情况:
- 焦虑症影响中国人口的很大一部分,终身患病率为4.8%.
- 许多患有焦虑症的人由于诊断挑战而没有得到及时的识别或治疗.
- 需要更好地了解中国人口与焦虑相关的具体问题.
研究的目的:
- 探索中国用户在YOU WEN BI DA健康平台上表达的与焦虑相关的担忧.
- 通过主题建模来识别与焦虑相关的主题和主题.
- 为改善对焦虑的诊断,教育,干预和政策制定提供见解.
主要方法:
- 数据是从YOU WEN BI DA平台 (2022年5月至2023年2月) 中提取的.
- 在数据清理和优化后,使用了隐性迪里克莱特分配 (LDA) 主题建模.
- 主题被可视化并使用pyLDAvis进行分类以进行定性分析.
主要成果:
- 确定了与焦虑相关的五个主要主题.
- 耳恐惧症 (25.1%),神经病 (20.1%) 和睡眠/睡眠障碍 (24.3%) 是最普遍的担忧.
- 社会恐惧症 (16.8%) 和自主神经功能障碍 (13.6%) 也是重要的主题.
- 在耳恐惧症和社会恐惧症之间,在自主神经功能障碍和社会恐惧症之间,经常与心理状态和药物治疗有关,注意到了相似之处.
结论:
- 这项研究是首次使用主题建模来分析在中国You WEN BI DA平台上的焦虑问题.
- 这些发现揭示了公众焦虑的关键领域,包括耳恐惧症,神经病,睡眠问题和社会恐惧症.
- 结果为卫生专业人员和政策制定者提供了实际影响,以加强焦虑管理策略.
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