Laureate Institute for Brain Research (LIBR), Tulsa, OK, USA.
Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, USA.
Sci Rep. 2021 Jun 10;11(1):12262. doi: 10.1038/s41598-021-90739-w.
Body image disturbance (BID) is a core feature of eating disorders, for which there are few objective markers. We examined the feasibility of a novel digital tool, "Somatomap", to index BID related to anorexia nervosa (AN) severity. Fifty-five AN inpatients and 55 healthy comparisons (HC) outlined their body concerns on a 2-Dimensional avatar. Next, they indicated sizes/shapes of body parts for their current and ideal body using sliders on a 3-Dimensional avatar. Physical measurements of corresponding body parts, in cm, were collected for reference. We evaluated regional differences in BID using proportional z-scores to generate statistical body maps, and multivariate analysis of covariance to assess perceptual discrepancies for current body, ideal body, and body dissatisfaction. The AN group demonstrated greater regional perceptual inaccuracy for their current body than HC, greater discrepancies between their current and ideal body, and higher body dissatisfaction than HCs. AN body concerns localized disproportionately to the chest and lower abdomen. The number of body concerns and perceptual inaccuracy for individual body parts was strongly associated with Eating Disorder Examination Questionnaire (Global EDE-Q) scores across both groups. Somatomap demonstrated feasibility to capture multidimensional aspects of BID. Several implicit measures were significantly associated with illness severity, suggesting potential utility for identifying objective BID markers.
体像障碍(BID)是饮食失调的核心特征,目前针对这种障碍几乎没有客观的标记物。我们研究了一种新颖的数字工具“Somatomap”在索引神经性厌食症(AN)严重程度相关体像障碍方面的可行性。55 名 AN 住院患者和 55 名健康对照者(HC)在二维头像上勾勒出他们的身体关注点。接下来,他们使用三维头像上的滑块来表示他们当前和理想身体的身体部位的大小/形状。为了参考,我们以厘米为单位收集了相应身体部位的实际测量值。我们使用比例 z 分数评估体像障碍的区域差异,以生成统计体图,并进行协方差的多变量分析,以评估当前身体、理想身体和身体不满之间的感知差异。与 HC 相比,AN 组对其当前身体的区域感知准确性较差,当前身体和理想身体之间的差异更大,身体不满程度更高。AN 的身体关注点不成比例地集中在胸部和下腹部。两组个体的身体关注点数量和身体部位的感知不准确性与饮食障碍检查问卷(EDE-Q)的全球评分显著相关。Somatomap 能够捕捉到体像障碍的多维方面。一些隐性测量指标与疾病严重程度显著相关,这表明其可能有助于识别客观的体像障碍标记物。