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A latent state-trait analysis of interoceptive accuracy
被引:41
|作者:
Wittkamp, Martin F.
[1
,2
]
Bertsch, Katja
[3
]
Voegele, Claus
[1
]
Schulz, Andre
[1
]
机构:
[1] Univ Luxembourg, Inst Hlth & Behav, Clin Psychophysiol Lab, 11 Porte Sci, L-4366 Esch Sur Alzette, Luxembourg
[2] Univ Hamburg, Dept Psychol, Clin Psychol & Psychotherapy, Hamburg, Germany
[3] Heidelberg Univ, Ctr Psychosocial Med, Dept Gen Psychiat, Heidelberg, Germany
关键词:
heartbeat counting;
heartbeat discrimination;
heartbeat perception;
interoception;
interoceptive accuracy;
latent state-trait model;
HEART BEAT PERCEPTION;
CARDIAC AWARENESS;
PANIC DISORDER;
STRESS;
RELIABILITY;
REACTIVITY;
ASYMMETRY;
CORTISOL;
MODEL;
SENSE;
D O I:
10.1111/psyp.13055
中图分类号:
B84 [心理学];
学科分类号:
04 ;
0402 ;
摘要:
Interoceptive accuracy (IAc), that is, 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, M-Age=23.4 years) on three consecutive measurement occasions, approximately 1 week apart, in a rest and poststress condition, using a heartbeat counting and a heartbeat discrimination task. The results showed fair temporal stability (intraclass correlation coefficients0.38) 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, approximately 27% was 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.
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