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What Lies Beneath Trait-Anxiety? Testing the Self-Regulatory Executive Function Model of Vulnerability
Vulnerability to psychological disorder can be assessed with constructs such as trait anxiety and neuroticism which among others are transdiagnostic risk factors. However, trait-anxiety and related concepts have been criticised because they don’t illuminate the etiological mechanisms of psychopathol...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371045/ https://www.ncbi.nlm.nih.gov/pubmed/30804834 http://dx.doi.org/10.3389/fpsyg.2019.00122 |
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author | Nordahl, Henrik Hjemdal, Odin Hagen, Roger Nordahl, Hans M. Wells, Adrian |
author_facet | Nordahl, Henrik Hjemdal, Odin Hagen, Roger Nordahl, Hans M. Wells, Adrian |
author_sort | Nordahl, Henrik |
collection | PubMed |
description | Vulnerability to psychological disorder can be assessed with constructs such as trait anxiety and neuroticism which among others are transdiagnostic risk factors. However, trait-anxiety and related concepts have been criticised because they don’t illuminate the etiological mechanisms of psychopathology. In contrast, the metacognitive (S-REF) model offers a framework in which metacognitive knowledge conceptualised in trait terms is part of a core mechanism underlying trait-anxiety and related constructs. The present study therefore set out to explore metacognitions as potential underlying factors in trait-anxiety (the propensity to depression and anxiety). Nine hundred and eighty two participants completed self-report measures of metacognitions and trait-anxiety at time 1, and 425 individuals completed the same measures 8 weeks later. At the cross-sectional level, metacognitions accounted for 83% of the variance in anxiety- and 64% of depression propensity. Furthermore, despite both domains of trait-anxiety showing high stability over time, negative- and positive metacognitive beliefs were significant prospective predictors of both domains of vulnerability. These findings suggests that metacognitive beliefs may be an underlying mechanism of vulnerability attributed to trait-anxiety with the implication that the metacognitive (S-REF) model informs conceptualization of psychological vulnerability, and that metacognitive therapy applications might be employed to enhance psychological resilience. |
format | Online Article Text |
id | pubmed-6371045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63710452019-02-25 What Lies Beneath Trait-Anxiety? Testing the Self-Regulatory Executive Function Model of Vulnerability Nordahl, Henrik Hjemdal, Odin Hagen, Roger Nordahl, Hans M. Wells, Adrian Front Psychol Psychology Vulnerability to psychological disorder can be assessed with constructs such as trait anxiety and neuroticism which among others are transdiagnostic risk factors. However, trait-anxiety and related concepts have been criticised because they don’t illuminate the etiological mechanisms of psychopathology. In contrast, the metacognitive (S-REF) model offers a framework in which metacognitive knowledge conceptualised in trait terms is part of a core mechanism underlying trait-anxiety and related constructs. The present study therefore set out to explore metacognitions as potential underlying factors in trait-anxiety (the propensity to depression and anxiety). Nine hundred and eighty two participants completed self-report measures of metacognitions and trait-anxiety at time 1, and 425 individuals completed the same measures 8 weeks later. At the cross-sectional level, metacognitions accounted for 83% of the variance in anxiety- and 64% of depression propensity. Furthermore, despite both domains of trait-anxiety showing high stability over time, negative- and positive metacognitive beliefs were significant prospective predictors of both domains of vulnerability. These findings suggests that metacognitive beliefs may be an underlying mechanism of vulnerability attributed to trait-anxiety with the implication that the metacognitive (S-REF) model informs conceptualization of psychological vulnerability, and that metacognitive therapy applications might be employed to enhance psychological resilience. Frontiers Media S.A. 2019-01-30 /pmc/articles/PMC6371045/ /pubmed/30804834 http://dx.doi.org/10.3389/fpsyg.2019.00122 Text en Copyright © 2019 Nordahl, Hjemdal, Hagen, Nordahl and Wells. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Nordahl, Henrik Hjemdal, Odin Hagen, Roger Nordahl, Hans M. Wells, Adrian What Lies Beneath Trait-Anxiety? Testing the Self-Regulatory Executive Function Model of Vulnerability |
title | What Lies Beneath Trait-Anxiety? Testing the Self-Regulatory Executive Function Model of Vulnerability |
title_full | What Lies Beneath Trait-Anxiety? Testing the Self-Regulatory Executive Function Model of Vulnerability |
title_fullStr | What Lies Beneath Trait-Anxiety? Testing the Self-Regulatory Executive Function Model of Vulnerability |
title_full_unstemmed | What Lies Beneath Trait-Anxiety? Testing the Self-Regulatory Executive Function Model of Vulnerability |
title_short | What Lies Beneath Trait-Anxiety? Testing the Self-Regulatory Executive Function Model of Vulnerability |
title_sort | what lies beneath trait-anxiety? testing the self-regulatory executive function model of vulnerability |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371045/ https://www.ncbi.nlm.nih.gov/pubmed/30804834 http://dx.doi.org/10.3389/fpsyg.2019.00122 |
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