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

3D Body image disturbance avatars digital health

Journal

Comprehensive psychiatry
ISSN: 1532-8384
Titre abrégé: Compr Psychiatry
Pays: United States
ID NLM: 0372612

Informations de publication

Date de publication:
02 Sep 2024
Historique:
received: 14 03 2024
revised: 07 08 2024
accepted: 01 09 2024
medline: 7 9 2024
pubmed: 7 9 2024
entrez: 6 9 2024
Statut: aheadofprint

Résumé

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. 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. 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. In sum, this digital avatar tool revealed disturbances in body image in individuals with BDD that may have perceptual and cognitive/affective components.

Sections du résumé

BACKGROUND 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.
METHODS 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.
RESULTS 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.
CONCLUSION CONCLUSIONS
In sum, this digital avatar tool revealed disturbances in body image in individuals with BDD that may have perceptual and cognitive/affective components.

Identifiants

pubmed: 39241374
pii: S0010-440X(24)00080-4
doi: 10.1016/j.comppsych.2024.152529
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152529

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

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.

Auteurs

Sameena Karsan (S)

Centre for Addiction and Mental Health, Ontario, Canada.

Joel P Diaz-Fong (JP)

Centre for Addiction and Mental Health, Ontario, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Ontario, Canada; Semel Institute for Neuroscience & Human Behavior, Department of Psychiatry & Biobehavioral Science, University of California Los Angeles, California, United States.

Ronald Ly (R)

Semel Institute for Neuroscience & Human Behavior, Department of Psychiatry & Biobehavioral Science, University of California Los Angeles, California, United States.

Gerhard Hellemann (G)

School of Public Health, University of Alabama at Birmingham, AL, United States.

Jamie D Feusner (JD)

Centre for Addiction and Mental Health, Ontario, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Ontario, Canada; Semel Institute for Neuroscience & Human Behavior, Department of Psychiatry & Biobehavioral Science, University of California Los Angeles, California, United States; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Ontario, Canada; Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden. Electronic address: jamie.feusner@utoronto.ca.

Classifications MeSH