Clinical and Health Psychology, University of Edinburgh, Edinburgh, UK.
Oregon Research Institute, Eugene, USA.
J Affect Disord. 2024 Dec 1;366:290-299. doi: 10.1016/j.jad.2024.08.131. Epub 2024 Aug 24.
Approximately 10% of mothers experience depression each year, which increases risk for depression in offspring. Currently no research has analysed the linguistic features of depressed mothers and their adolescent offspring during dyadic interactions. We examined the extent to which linguistic features of mothers' and adolescents' speech during dyadic interactional tasks could discriminate depressed from non-depressed mothers.
Computer-assisted linguistic analysis (Linguistic Inquiry and Word Count; LIWC) was applied to transcripts of low-income mother-adolescent dyads (N = 151) performing a lab-based problem-solving interaction task. One-way multivariate analyses were conducted to determine linguistic features hypothesized to be related to maternal depressive status that significantly differed in frequency between depressed and non-depressed mothers and higher and lower risk offspring. Logistic regression analyses were performed to classify between dyads belonging to the two groups.
The results showed that linguistic features in mothers' and their adolescent offsprings' speech during problem-solving interactions discriminated between maternal depression status. Many, but not all effects, were consistent with those identified in previous research using primarily written text, highlighting the validity and reliability of language behaviour associated with depressive symptomatology across lab-based and natural environmental contexts.
Our analyses do not enable to ascertain how mothers' language behaviour may have influenced their offspring's communication patterns. We also cannot say how or whether these findings generalize to other contexts or populations.
The findings extend the existing literature on linguistic features of depression by indicating that mothers' depression is associated with linguistic behaviour during mother-adolescent interaction.
每年约有 10%的母亲会经历抑郁症,这会增加后代患抑郁症的风险。目前,尚无研究分析过抑郁母亲及其青少年子女在二元互动期间的语言特征。我们研究了母亲和青少年在进行基于实验室的解决问题的互动任务时,其语言特征在多大程度上可以区分抑郁母亲和非抑郁母亲。
对 151 名来自低收入家庭的母子进行了基于实验室的解决问题的互动任务,对其对话的文字记录进行了计算机辅助语言分析(语言探究和词汇计数;LIWC)。采用单变量多变量分析来确定与母亲抑郁状况相关的语言特征,这些特征在抑郁和非抑郁母亲以及高风险和低风险子女之间的出现频率存在显著差异。采用逻辑回归分析对属于两组的母子进行分类。
结果表明,在解决问题的互动过程中,母亲和青少年子女的语言特征可以区分母亲的抑郁状态。许多但不是所有的影响都与先前主要使用书面文字的研究结果一致,这突出了与抑郁症状相关的语言行为在基于实验室和自然环境背景下的有效性和可靠性。
我们的分析无法确定母亲的语言行为如何影响其子女的沟通模式。我们也无法确定这些发现如何或是否适用于其他情况或人群。
这些发现扩展了关于抑郁的语言特征的现有文献,表明母亲的抑郁与母子互动期间的语言行为有关。