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在开发治疗方法中使用心理语言学来克服焦虑状态
M Zhylin1, O Starynska2, V Yatsynovych3
11Department of Practical Psychology, Odesa National Maritime University, Ukraine.
Georgian medical news
|January 9, 2026
概括
语音分析揭示了焦虑的心理语言标记. 高度焦虑的个体使用更简单的语言,消极的词汇,并专注于自我,帮助心理治疗诊断.
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:
- 焦虑症是普遍存在的,需要改进的诊断工具.
- 语音的心理语言特征可能为心理健康状况提供客观标记.
- 当前的诊断方法可能是主观的,耗时的.
研究的目的:
- 调查语音特征与焦虑水平之间的关系.
- 为了识别潜在的焦虑心理语言标记.
- 探索语音分析在心理治疗实践中的实用性.
主要方法:
- 160名参与者根据焦虑水平 (高,中,低) 进行了分层分类,使用国家特征焦虑清单 (STAI) 和贝克焦虑清单 (BAI).
- 语音模式的定量分析,包括句子长度,词汇多样性,词汇,代词使用和动词时代.
- 使用相关性和回归分析来评估语音指标和焦虑评分之间的关系.
主要成果:
- 在焦虑组之间观察到语言模式的显著差异.
- 高焦虑与短句,减少词汇多样性,增加负面词汇,更高的自我引用代词使用 ('I') 和更少的未来时的使用有关.
- 语音指标解释了贝克焦虑清单得分的多达48%的差异.
结论:
- 语音分析是焦虑程度的可靠指标.
- 心理语言标志物,如负面词汇,自我参考性,认知简化和低未来导向,是高度焦虑的个体的特征.
- 语音分析可以整合到心理治疗中,作为个性化干预和监测进展的诊断工具.
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