Evidence map›Paper›PMID 39187178›Full record

ArticleJournal of affective disorders2024

Language use in depressed and non-depressed mothers and their adolescent offspring.

Laura A Cariola, Lisa B Sheeber, Nicholas Allen, Maneesh Bilalpur, Timothy Bird, Saurabh Hinduja, Louis-Philippe Morency, Jeffrey F Cohn

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Article in Journal of affective disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Laura A CariolaClinical and Health Psychology, University of Edinburgh, Edinburgh, UK. Electronic address: laura.cariola@ed.ac.uk.
Lisa B SheeberOregon Research Institute, Eugene, USA.
Nicholas AllenDepartment of Psychology, University of Oregon, Eugene, USA.
Maneesh BilalpurIntelligent Systems Program, University of Pittsburgh, Pittsburgh, USA.
Timothy BirdClinical and Health Psychology, University of Edinburgh, Edinburgh, UK.
Saurabh HindujaDepartment of Management, University of Akron, Ohio, USA.
Louis-Philippe MorencyLanguage Technologies Institute, Carnegie Mellon University, Pittsburgh, USA.
Jeffrey F CohnDepartment of Psychology, University of Pittsburgh, Deliberate.AI, NY, USA.

Funding

Automatic Multimodal Affect Detection for Research and Clinical Use R01MH096951 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COHN, JEFFREY F · 2012 to 2021
$5.6M
NIMH NIH HHS R01 MH096951
6 · The paper itself

Abstract

backgroundApproximately 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.

methodsComputer-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.

resultsThe 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. LIMITATIONS: 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.

conclusionThe findings extend the existing literature on linguistic features of depression by indicating that mothers' depression is associated with linguistic behaviour during mother-adolescent interaction.

Indexed as

Mother-Child RelationsMothersAdolescentAdultChild of Impaired ParentsDepressionFemaleHumansLanguageMalePovertyProblem SolvingAdolescentsDepressed mothersDepressionDyadic interactionLanguage behaviourLinguistic analysisSpoken language

Identifiers

PMID39187178
PMCPMC11654823

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