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14-02-2024

Automated Coding of Children’s Spoken Language is Associated with Internalizing Symptoms and Cortisol Reactivity to Stress

Auteurs: Bianca C. Iddiols, Andrew R. Daoust, Jennifer N. Mullen, Yuliya Kotelnikova, Elizabeth P. Hayden

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 2/2024

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Abstract

Automated coding has the potential to streamline otherwise laborious manual coding of psychologically relevant human behaviour. For example, automated coding of adults’ written language (e.g., social media posts) shows that incidental language patterns are associated with internal psychological processes, including symptoms of depression. However, it is unclear whether automated coding of children’s incidental spoken language is related to their symptoms and other indices of risk. We therefore examined associations between 146 children’s (Mage = 9.53 years, SD = 0.88; 82 girls) spoken language, transcribed for automated coding, and their internalizing symptoms and cortisol stress reactivity. Children completed self-reports of depression and anxiety, and cortisol reactivity to stress was measured using salivary cortisol samples during the Trier Social Stress Test for Children (TSST-C). Emotional and other linguistic indices derived using Linguistic Inquiry and Word Count software package were meaningfully correlated with children’s depressive symptoms and children’s cortisol reactivity, with medium mean effect sizes of |r| = 0.21 (range: 0.19-0.28) and |r| = 0.23 (range: 0.20-0.29), respectively, across significant correlations, providing preliminary evidence that children’s spoken language coded via automated methods is a valid marker of children’s internal states.
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Metagegevens
Titel
Automated Coding of Children’s Spoken Language is Associated with Internalizing Symptoms and Cortisol Reactivity to Stress
Auteurs
Bianca C. Iddiols
Andrew R. Daoust
Jennifer N. Mullen
Yuliya Kotelnikova
Elizabeth P. Hayden
Publicatiedatum
14-02-2024
Uitgeverij
Springer US
Gepubliceerd in
Journal of Psychopathology and Behavioral Assessment / Uitgave 2/2024
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI
https://doi.org/10.1007/s10862-024-10124-5