重度抑郁症的语言标记:使用自动化程序进行横截面研究
Raluca Nicoleta Trifu1, Bogdan Nemeș1, Dana Cristina Herta1
1Department of Neurosciences, Discipline of Medical Psychology and Psychiatry, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Frontiers in psychology
|March 21, 2024
概括
患有严重抑郁症 (MDD) 的人表现出不同的语言模式,使用更短的句子和更多负面影响的词汇. 识别这些语言标志物有助于早期发现抑郁症.
科学领域:
- 心理语言学 心理语言学
- 临床心理学 临床心理学
- 计算语言学 计算语言学
背景情况:
- 早期识别精神健康障碍,如主要抑郁症 (MDD),对于及时干预至关重要.
- 语言标记,包括形式和内容,为开发创新的诊断工具提供了潜力.
- 现有的研究还处于新生阶段,面临着语言变化和文化影响带来的挑战.
研究的目的:
- 使用自动化文本分析识别MDD的特定语言标记.
- 为此分析利用RO-2015 LIWC (语言查询和词汇计数) 软件.
主要方法:
- 评估了62名接受药物治疗的MDD患者和43名对照人群,收集描述愉快经历的语言样本.
- 用于MDD诊断的使用查测试 (MADRS,DASS-21).
- 雇佣了Ro-LIWC2015软件用于罗马尼亚语文本的形态学,语法和语义的自动分析.
主要成果:
- 患有MDD的患者使用更短,更长的句子,表明思想交换有限.
- 语言模式包括更多地使用非个人代名词,复数第一人称代名词,连接词,辅助动词,否定词和过去式动词.
- 在使用负面影响词 (增加) 与积极影响词 (减少) 中观察到的显著差异.
- 患有MDD的患者最喜欢的话题包括休,时间和金钱.
结论:
- 与非抑郁症患者相比,抑郁症患者表现出明显不同的语言模式.
- 这些形式和内容的语言差异可能受到教育,性别和文化因素的影响.
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