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Gepubliceerd in: Research on Child and Adolescent Psychopathology 4/2023

29-12-2022

Computational Modeling of Self-Referential Processing Reveals Domain General Associations with Adolescent Anxiety Symptoms

Auteurs: Peter J. Castagna, Allison C. Waters, Michael J. Crowley

Gepubliceerd in: Research on Child and Adolescent Psychopathology | Uitgave 4/2023

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Abstract

What an adolescent thinks about themselves, commonly termed self-referential processing, has significant implications for youth long-term psychological well-being. Self-referential processing plays an important role in anticipatory and reactive processing in social contexts and contributes to symptoms of social anxiety. Previous work examining self-referential processing largely focuses on child and adolescent depression, relying on endorsement and reaction time for positive and negative self-describing adjectives in a self-referential encoding task (SRET). Here, we employ computational methods to interrogate the latent processes underlying choice reaction times to evaluate the fit of several drift–diffusion models of youth SRET performance. A sample of 106 adolescent, aged 12–17 (53% male; Mage = 14.49, SD = 1.70) completed the SRET and self-report measures of anxiety and depression. Our results support the utility of modeling the SRET, where the rate of evidence accumulation (i.e., drift rate) during negative self-referential processing was related to social anxiety above-and-beyond mean task performance. Our regression analyses indicated that youth efficiency in processing of self-referential views was domain general to anxiety, highlighting the importance of assessing both social and physiological anxiety symptoms when predicting SRET performance. The computational modeling results revealed that self-referential views are not uniquely related to depression-related constructs but also facets of anxiety.
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1
Both models were also run replacing negative mood with the CDI total score, where both positive and negative drift rate was only significantly predicted by the CDI total score (See Supplemental C).
 
2
Both models were also run replacing negative mood with the CDI total score; both positive and negative starting point bias models were significantly predicted by social anxiety and CDI total score, respectively (See Supplemental D).
 
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Metagegevens
Titel
Computational Modeling of Self-Referential Processing Reveals Domain General Associations with Adolescent Anxiety Symptoms
Auteurs
Peter J. Castagna
Allison C. Waters
Michael J. Crowley
Publicatiedatum
29-12-2022
Uitgeverij
Springer US
Gepubliceerd in
Research on Child and Adolescent Psychopathology / Uitgave 4/2023
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174
DOI
https://doi.org/10.1007/s10802-022-01012-1

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