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Quantifying body size estimation accuracy and body dissatisfaction in body dysmorphic disorder using a digital avatar.

Authors :
Karsan S
Diaz-Fong JP
Ly R
Hellemann G
Feusner JD
Source :
Comprehensive psychiatry [Compr Psychiatry] 2024 Nov; Vol. 135, pp. 152529. Date of Electronic Publication: 2024 Sep 02.
Publication Year :
2024

Abstract

Background: A core feature of body dysmorphic disorder (BDD) is body image disturbance. Many with BDD misperceive and are dissatisfied with the sizes and shapes of body parts, but detailed quantification and analysis of this has not yet been performed. To address this gap, we applied Somatomap 3D, a digital avatar tool, to quantify body image disturbances by assessing body size estimation (BSE) accuracy and body dissatisfaction.<br />Methods: Sixty-one adults (31 with BDD, 30 healthy controls) created avatars to reflect their perceived current body and ideal body by altering 23 body part sizes and lengths using Somatomap 3D. Physical measurements of corresponding body parts were recorded for comparison. BSE accuracy (current minus actual) and body dissatisfaction (ideal minus current) were compared between groups and in relation to BDD symptom severity using generalized estimating equations.<br />Results: Individuals with BDD significantly over- and under-estimated certain body parts compared to healthy controls. Individuals with BDD overall desired significantly thinner body parts compared to healthy controls. Moreover, those with worse BSE accuracy had greater body dissatisfaction and poorer insight.<br />Conclusion: In sum, this digital avatar tool revealed disturbances in body image in individuals with BDD that may have perceptual and cognitive/affective components.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1532-8384
Volume :
135
Database :
MEDLINE
Journal :
Comprehensive psychiatry
Publication Type :
Academic Journal
Accession number :
39241374
Full Text :
https://doi.org/10.1016/j.comppsych.2024.152529