The metacognitive model of generalized anxiety disorder (GAD) places worrying, meta-worry ("worry about worry") and corresponding underlying metacognitive beliefs (i.e., beliefs about worry) as central in the maintenance of symptoms. Previous research has demonstrated significant relationships between these factors and symptoms, but no study has tested the statistical fit of this influential model including its hypothesized components and the suggested paths between them. The aim of the current study was therefore to evaluate the fit of the metacognitive model of GAD. A total of 312 participants constituting an analogue GAD sample were included in a cross-sectional study and completed self-report measures of anxiety and depression symptoms and scales relevant to the metacognitive model. Metacognitions, worry, and meta-worry in their hypothesized order provided a good model fit and explained significant and substantial variance in symptoms. These results provide further support for the metacognitive model of GAD and demonstrates separate and unique contributions from worry and meta-worry to generalized anxiety symptoms of which meta-worry was the most influential.

Download full-text PDF

Source
http://dx.doi.org/10.1111/sjop.12884DOI Listing

Publication Analysis

Top Keywords

metacognitive model
20
generalized anxiety
12
model generalized
8
anxiety disorder
8
model gad
8
worry meta-worry
8
model
7
metacognitive
6
symptoms
5
empirical test
4

Similar Publications

Metacognition in the listening brain.

Trends Neurosci

January 2025

Department of Psychology, University of Lübeck, 23562 Lübeck, Germany; Center of Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany. Electronic address:

How do you know you have heard right? Metacognition, the ability to assess and monitor one's own cognitive state, is key to understanding human communication in complex environments. However, the foundational role of metacognition in hearing and communication is only beginning to be explored, and the neuroscience behind it is an emerging field: how does confidence express in neural dynamics of the listening brain? What is known about auditory metaperceptual alterations as a hallmark phenomenon in psychosis, dementia, or hearing loss? Building on Bayesian ideas of auditory perception and auditory neuroscience, 'meta-listening' offers a framework for more comprehensive research into how metacognition in humans and non-humans shapes the listening brain.

View Article and Find Full Text PDF

Background: Although personality trait models have become consolidated as the hegemonic taxonomical models for describing personality and provide excellent capacity for predicting variables of psychological interest (i.e., mental disorders), there are still important gaps in our knowledge about why personality traits predict those variables.

View Article and Find Full Text PDF

Metacognition, the ability to monitor and regulate one's own cognitive processes, is subject to varying degrees of modification in patients suffering from neurodegenerative diseases. The literature suggests the existence of dissociations within metacognitive abilities, with some patients exhibiting, for example, specific impairments in self-assessing their memory (and not other cognitive domains). The specific assessment of metacognition in patients' social-cognitive abilities is underdeveloped, although it has significant implications for both clinical and theoretical purposes.

View Article and Find Full Text PDF

When we collaborate with others to tackle novel problems, we anticipate how they will perform their part of the task to coordinate behavior effectively. We might estimate how well someone else will perform by extrapolating from estimates of how well we ourselves would perform. This account predicts that our metacognitive model should make accurate predictions when projected onto people as good as, or worse than, us but not on those whose abilities exceed our own.

View Article and Find Full Text PDF

Large Language Models have demonstrated expert-level accuracy on medical board examinations, suggesting potential for clinical decision support systems. However, their metacognitive abilities, crucial for medical decision-making, remain largely unexplored. To address this gap, we developed MetaMedQA, a benchmark incorporating confidence scores and metacognitive tasks into multiple-choice medical questions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!