Abstract
Anxiety is one of the most common and debilitating mental health disorders, and is related to changes in interoception (perception of bodily states). While anxiety is more prevalent in women than men, gender differences in interoception-anxiety associations are often overlooked. Here, we examined gender-specific relationships between anxiety and interoception in the breathing domain, utilising multicentre data pooled from four study sites (N = 175; 51% women). State anxiety scores were quantified via the Spielberger State–Trait Anxiety Inventory, and breathing-related interoceptive dimensions via an inspiratory load task to quantify sensitivity, decision bias, metacognitive bias (confidence in interoceptive decisions), and metacognitive insight (congruency between performance and confidence). Regression analyses revealed a significant negative relationship between state anxiety and metacognitive bias (β = −0.28; p = 0.01) and insight (β = −0.09; 95% highest density interval [HDI] in a hierarchical Bayesian regression = [−0.18, −0.004]) across the whole sample, while state anxiety did not relate to interoceptive sensitivity nor decision bias. While no mean interoceptive effects relating to gender were observed, the relationship between anxiety and metacognitive insight towards breathing was driven by women (women: β = −0.18; HDI = [−0.31, −0.05]; men: β = 0.02; HDI = [−0.12, 0.15]) with a significant interaction effect (β difference = −0.20; HDI = [−0.37, −0.01]), which did not hold for trait anxiety nor depression measures. In summary, state anxiety was associated with decreased metacognitive bias across all participants, while decreased interoceptive insight was only associated with anxiety in women but not men. Therefore, treatment programmes focusing on interoceptive metacognitive bias may be useful for all anxiety patients, while interoceptive insight might represent a specific treatment target for women with anxiety.
Original language | English |
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Article number | e16672 |
Journal | European Journal of Neuroscience |
Volume | 61 |
Issue number | 1 |
Early online date | 13 Jan 2025 |
DOIs | |
Publication status | Published - 31 Jan 2025 |
Bibliographical note
The data that support the findings of this study are available on requestfrom the corresponding author. The data are not publicly available
due to privacy or ethical restrictions. All code is available open access
(https://github.com/IMAGEotago/BRIMA). All analyses were pre-
specified in a time-stamped analysis plan (https://gitlab.ethz.ch/tnu/
analysis-plans/harrison_breathing_ anxiety).
Funding
This work was supported by Personalized Health and Related Technologies; ETH, Royal Society Te Apārangi, H2020 Marie Skłodowska-Curie Actions (793580), René und Susanne Braginsky Stiftung, Wellcome Trust (203139/Z/16/Z and 206648/Z/17/Z), NIHR Oxford Biomedical Research Centre (RCF18/002), and Dunhill Medical Trust (R333/0214).
Keywords
- breathing
- computational psychiatry
- insight
- interoception
- metacognition
ASJC Scopus subject areas
- General Neuroscience