超越单词:通过LIWC对文本特征的分析,了解大学申请人的焦虑和抑郁
Ana Abutara1, Aline Kissimoto1, Felipe Oliveira de Aguiar1,2
1Department of Mental Health, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Frontiers in psychology
|December 22, 2025
概括
学生的论文揭示了焦虑和抑郁的语言标记. 分析书面文本中的词语使用可以帮助检测大学前学生的情绪困扰,帮助早期干预.
科学领域:
- 心理语言学 心理语言学
- 心理健康查 心理健康查
- 教育心理学教育心理学
背景情况:
- 预大学生面临高水平的焦虑和抑郁症,加剧了学术压力.
- 对书面文本的语言分析提供了一种新的,非侵入性的方法,用于早期检测心理健康状况.
- 入学考试显著增加了准备进入高等教育的学生的心理负担.
研究的目的:
- 研究学生作文中的特定语言特征与自我报告的焦虑和抑郁水平之间的相关性.
- 识别与大学前学生的焦虑和抑郁相关的独特语言模式.
- 探索语言分析作为在学术环境中对情绪困扰的选工具的实用性.
主要方法:
- 在巴西圣保罗,对62名大学预科学生进行了横截面研究.
- 参与者填写了社会人口统计问卷,GAD-7 (通用焦虑障碍7项表),PHQ-9 (患者健康问卷-9).
- 用语言调查和词汇计数 (LIWC) 软件分析了论证性论文,以识别单词类别和频率;采用多变量回归模型.
主要成果:
- 焦虑与更多地使用与归属和家庭有关的词汇有关,以及减少使用与休和金钱有关的术语.
- 抑郁症与更高的"驱动"频率和与数字相关的单词以及较少的与运动相关的术语相关.
- 特定的语言模式被确定为学生群体中情绪困扰的潜在指标.
结论:
- 对论文的语言分析显示,作为识别大学前学生情绪困扰的工具,它是有前途的.
- 这种方法可以支持教育和心理健康框架内的早期查和干预策略.
- 这些发现突显了心理语言学在理解和解决学生心理健康方面的潜力.
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