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Updated: Feb 11, 2026

Reducing State Anxiety Using Working Memory Maintenance
Published on: July 19, 2017
Metacognitive biases in anxiety-depression and compulsivity extend across perception and memory
Tricia X F Seow1,2, Stephen M Fleming1,2,3, Tobias U Hauser1,2,4,5
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging Neuroscience, University College London, London, United Kingdom.
Metacognitive biases in mental health disorders like depression and obsessive-compulsive disorder (OCD) differ. This study found underconfidence linked to anxiety-depression and overconfidence to compulsivity, with varying effects across metacognitive levels.
Area of Science:
- Cognitive psychology
- Clinical psychology
- Neuroscience
Background:
- Metacognitive biases are common in mental health disorders such as depression and obsessive-compulsive disorder (OCD).
- Transdiagnostic research presents conflicting findings on metacognition in OCD, showing overconfidence in perception versus underconfidence in memory.
- Reconciling these discrepancies is crucial for understanding metacognitive alterations in psychopathology.
Purpose of the Study:
- To investigate the domain-specific and hierarchical nature of metacognitive biases across different mental health dimensions.
- To differentiate metacognitive patterns associated with anxiety-depression and compulsivity.
- To explore the influence of global self-esteem and metacognitive hierarchy levels on these biases.
Main Methods:
- Employed a transdiagnostic individual differences approach with a general population sample (N = 327).
- Quantified metacognitive patterns across memory and perception domains.
- Analyzed associations between metacognitive biases, anxiety-depression, compulsivity, self-esteem, and metacognitive hierarchy levels.
Main Results:
- Underconfidence in metacognition was associated with anxiety-depression.
- Overconfidence in metacognition was associated with compulsivity.
- Both anxiety-depression and compulsivity were largely explained by global low self-esteem, but compulsivity showed specific alterations at local metacognitive levels.
Conclusions:
- Metacognitive alterations are domain-general across mental health dimensions.
- Distinct levels of the metacognitive hierarchy contribute differentially to specific mental health conditions.
- Findings support a nuanced understanding of metacognitive biases in psychopathology, moving beyond simple clinical category distinctions.
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