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作 者:王柳生 张海燕 胡蕊[2,3] 赵霞 Wang Liusheng;Zhang Haiyan;Hu Rui;Zhao Xia
机构地区:[1]集美大学师范学院 [2]河北医科大学第一医院 [3]河北医科大学精神卫生研究所 [4]南通大学学工处
出 处:《外语教学》2025年第2期17-23,共7页Foreign Language Education
基 金:国家社会科学基金项目“基于多模态语料库的潜在抑郁风险识别与预警研究”(项目编号:20BYY071)的阶段性研究成果。
摘 要:抑郁个体话语文本的量化信息可以反映抑郁心理特征。本研究通过文本量化分析考察不同类型抑郁个体话语特征。110名被试参加个别访谈,访谈音频转化为文本,采用Nvivo、KH Coder等软件分析。结果发现,临床与亚临床抑郁组高频使用第一人称单数代词、负性主题词。临床组高频使用“他、没有、的、就、是、你”,亚临床组的“就、是”人均词频显著大于对照组。人称代词主题、“我、不、了”等人均词频随三组健康水平降低而增加。各组具有不同的词汇共现网络。抑郁个体的话语具有独特性,研究结果支持自我关注理论与抑郁风险模型。The quantitative textual information of utterances from individuals with depression can reflect the psychological characteristics of depression.This study investigates the discourse characteristics of different types of depression through quantitative text analysis.A total of 110 participants took part in individual interviews.The interview audio was converted into text,and analyzed by Nvivo and KH Coder software.Results show that both the clinical and subclinical depression groups used first-person singular pronouns and negative thematic words at high frequency.The clinical group used the words“TA,MEIYOU,DE,JIU,SHI,NI”frequently,and the subclinical group had significantly higher per capita word frequency of“JIU,SHI”than the control group.The per capita frequency of personal pronoun themes and words like“WO,BU,LIAO”increased with the decrease of the health level of the three groups.Each group had a different lexical co-occurrence network.Therefore,it can be seen that the discourse of individuals with different levels of depression is unique.This study supports self-focus attention theory and depression risk model.
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