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使用数字虚拟形象来量化身体畸形障碍中对体型的估计准确性和身体不满。

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

机构信息

Centre for Addiction and Mental Health, Ontario, Canada.

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.

出版信息

Compr Psychiatry. 2024 Nov;135:152529. doi: 10.1016/j.comppsych.2024.152529. Epub 2024 Sep 2.

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.

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

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

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

摘要

背景

躯体变形障碍(BDD)的一个核心特征是身体意象障碍。许多患有 BDD 的人对身体部位的大小和形状存在误解和不满,但尚未对此进行详细的量化和分析。为了弥补这一空白,我们应用了 Somatomap 3D 这一数字虚拟化身工具,通过评估身体大小估计(BSE)的准确性和身体不满程度来量化身体意象障碍。

方法

61 名成年人(31 名 BDD 患者,30 名健康对照者)使用 Somatomap 3D 改变 23 个身体部位的大小和长度来创建反映他们当前身体和理想身体的虚拟化身,从而量化身体意象。记录相应身体部位的实际测量值以供比较。使用广义估计方程比较组间以及与 BDD 症状严重程度的 BSE 准确性(当前-实际)和身体不满(理想-当前)。

结果

与健康对照组相比,BDD 患者对某些身体部位的过度和低估。BDD 患者总体上希望身体的某些部位更瘦,与健康对照组相比。此外,BSE 准确性较差的患者身体不满和洞察力较差。

结论

总之,这种数字虚拟化身工具揭示了 BDD 个体的身体意象障碍,可能具有感知和认知/情感成分。

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