Reference : A Latent State-Trait Analysis of Interoceptive Accuracy
Scientific journals : Article
Social & behavioral sciences, psychology : Neurosciences & behavior
http://hdl.handle.net/10993/33439
A Latent State-Trait Analysis of Interoceptive Accuracy
English
Wittkamp, M. []
Bertsch, K. []
Vögele, Claus mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Schulz, André mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
In press
Psychophysiology
Cambridge University Press
Yes (verified by ORBilu)
International
0048-5772
1469-8986
New York
NY
[en] Interoceptive accuracy (IAc), i.e. the ability to accurately perceive one’s
own bodily signals, is widely assumed to be a trait, although experimental
manipulations, such as stress, may affect IAc. We used structural equation
modeling to estimate the reliability of IAc, and the proportions of individual
differences in IAc, explained by a trait and occasion-specific effects of
situation and person-situation interactions. We assessed IAc in 59 healthy
participants (40 women, MAge = 23.4 years) on three consecutive
measurement occasions, approx. one week apart, in a ‘rest’ and ‘poststress’
condition, using a heartbeat counting and a heartbeat discrimination
task. The results show fair temporal stability (intraclass correlation
coefficients ≥ 0.38) and good reliability (Mdn = .63; range .49-.83) for
both methods. While around 40% of the variance of a single IAc
measurement could be explained by a trait, approx. 27% were accounted
for by occasion-specific effects of situation and person-situation interaction.
These results suggest that IAc measures are relatively consistent and that
situations and person-situation interactions impact IAc as measured at a
certain point in time. An aggregation across at least two measurements is
recommended when using IAc as a trait variable.
http://hdl.handle.net/10993/33439

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
PsyP-2017-0194.R2.pdfAuthor preprint835.13 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.