Estimating Interoceptive Sensitivity from Physiological Breathing Parameters

Impairments in interoception (the process of sensing, perceiving, and interpreting internal stimuli from the body) are considered characteristic of many mental health conditions. Although there is a growing body of interoceptive research, accounting for the inherent physiological variability associated with interoceptive stimuli is a key challenge, particularly when estimating measures of sensitivity. Therefore, the purpose of this project was to develop and evaluate a physiological-adjusted measure of breathing-related interoceptive sensitivity. Seventy-seven participants completed questionnaires exploring general affect, anxiety and self-rated measures of interoception alongside a respiratory resistance sensitivity task. The proposed physiology-adjusted sensitivity metric (perceptual threshold) was positively correlated with symptoms of maladaptive anxiety and depression. In comparison, the previously established counterpart (absolute intensity) was positively correlated with state anxiety and the Multidimensional Assessment of Interoceptive Awareness Questionnaire (MAIA) emotional awareness subscale. Comparisons using Steiger's Z Test indicated the MAIA not-distracting subscale was more strongly correlated with the physiology-adjusted metric than its standard counterpart. Thus, the proposed metric of interoceptive sensitivity provides a measure that can adequately account for physiological variability and relates to maladaptive anxiety and depression.

Authors

Institutions

Publication Details

Journal
Journal of the Royal Society of New Zealand
Published
2026-05-11
DOI
https://doi.org/10.1002/snz2.70050
Primary Topic
Psychosomatic Disorders and Their Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating Interoceptive Sensitivity from Physiological Breathing Parameters

Faye Gorman, Bruce Russell, Ella McLeod, Olivia K. Harrison et al.
Journal of the Royal Society of New Zealand
Psychosomatic Disorders and Their Treatments
article

Estimating Interoceptive Sensitivity from Physiological Breathing Parameters

Faye Gorman, Bruce Russell, Ella McLeod, Olivia K. Harrison, Phoebe Chin
article en

Abstract

Impairments in interoception (the process of sensing, perceiving, and interpreting internal stimuli from the body) are considered characteristic of many mental health conditions. Although there is a growing body of interoceptive research, accounting for the inherent physiological variability associated with interoceptive stimuli is a key challenge, particularly when estimating measures of sensitivity. Therefore, the purpose of this project was to develop and evaluate a physiological-adjusted measure of breathing-related interoceptive sensitivity. Seventy-seven participants completed questionnaires exploring general affect, anxiety and self-rated measures of interoception alongside a respiratory resistance sensitivity task. The proposed physiology-adjusted sensitivity metric (perceptual threshold) was positively correlated with symptoms of maladaptive anxiety and depression. In comparison, the previously established counterpart (absolute intensity) was positively correlated with state anxiety and the Multidimensional Assessment of Interoceptive Awareness Questionnaire (MAIA) emotional awareness subscale. Comparisons using Steiger's Z Test indicated the MAIA not-distracting subscale was more strongly correlated with the physiology-adjusted metric than its standard counterpart. Thus, the proposed metric of interoceptive sensitivity provides a measure that can adequately account for physiological variability and relates to maladaptive anxiety and depression.

Journal of the Royal Society of New ZealandVol. 56(3)
Statistics New Zealand (NZ), University of Zurich (CH), ETH Zurich (CH), University of Oxford (GB), University of Otago (NZ)
Royal Society Te Apārangi
Good health and well-being
Openalex Percentile: Top 6%
Psychosomatic Disorders and Their Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.