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Quantifying body size estimation accuracy and body dissatisfaction in body dysmorphic disorder using a digital avatar
Sameena Karsan1, Joel P Diaz-Fong2, Ronald Ly3
1Centre for Addiction and Mental Health, Ontario, Canada.
Comprehensive Psychiatry
|September 6, 2024
Summary
Individuals with body dysmorphic disorder (BDD) significantly misperceive body size and shape. A digital avatar tool revealed that greater body size estimation inaccuracy in BDD correlates with increased body dissatisfaction.
Area of Science:
- Psychiatry
- Psychology
- Human-Computer Interaction
Background:
- Body dysmorphic disorder (BDD) is characterized by body image disturbance.
- Quantification of body image disturbances in BDD, specifically body size estimation (BSE) accuracy and body dissatisfaction, has been limited.
- Digital avatar technology offers a novel approach to quantify these disturbances.
Purpose of the Study:
- To quantify body image disturbances in individuals with BDD using a digital avatar tool (Somatomap 3D).
- To assess body size estimation (BSE) accuracy and body dissatisfaction in BDD.
- To explore the relationship between BSE accuracy, body dissatisfaction, and BDD symptom severity.
Main Methods:
- Sixty-one adults (31 with BDD, 30 healthy controls) used Somatomap 3D to create avatars of their current and ideal bodies.
- 23 body part sizes and lengths were altered digitally and compared to physical measurements.
- Generalized estimating equations analyzed BSE accuracy and body dissatisfaction in relation to BDD severity.
Main Results:
- Individuals with BDD exhibited significant over- and under-estimation of specific body parts compared to controls.
- BDD group desired significantly thinner body parts.
- Worse BSE accuracy was associated with greater body dissatisfaction and poorer insight in individuals with BDD.
Conclusions:
- The Somatomap 3D digital avatar tool effectively quantifies body image disturbances in BDD.
- Findings suggest both perceptual (BSE accuracy) and cognitive/affective (body dissatisfaction, insight) components contribute to BDD.
- This technology may aid in understanding and potentially treating BDD.

