TY - JOUR AU - Ralph-Nearman, Christina AU - Arevian, Armen C AU - Puhl, Maria AU - Kumar, Rajay AU - Villaroman, Diane AU - Suthana, Nanthia AU - Feusner, Jamie D AU - Khalsa, Sahib S PY - 2019 DA - 2019/10/29 TI -一种用于评估身体图像感知的新型移动工具(Somatomap)，与时装模特和非模特进行了初步测试:横剖面研究JO - JMIR Ment Health SP - e14115 VL - 6 IS - 10kw -身体图像KW -身体感知KW -身体表征KW -身体图像障碍KW -饮食障碍KW -移动健康KW -心理健康KW -移动应用程序KW -数字健康AB -背景:一般来说，对身体和外观的扭曲感知是包括神经性厌食症和身体畸形障碍在内的几种精神疾病的核心特征，并在非临床人群中不同程度地发生。然而，鉴于身体形象知觉的主观性和多种表现形式，评估它具有挑战性。目前可用的方法有几个局限性，包括评估特定身体区域的感知能力有限。为了解决这些限制，我们创建了Somatomap，这是一种移动工具，使个人能够直观地表示他们对身体部分大小和形状的感知，以及身体关注的区域，并记录关注的情绪效价。目的:本研究旨在开发并试点测试一种用于评估2D和3D身体图像感知的新型移动工具的可行性。方法:我们开发了一个由人体模型组成的移动2D工具，参与者可以在该工具上概述身体关注的区域，并指出关注的性质、强度和情绪效价。我们还开发了一种移动3D工具，由一个角色组成，参与者可以在角色上选择身体的各个部位，并使用滑块来操作它们的大小和形状。该工具在103名女性中进行了试点测试:65名职业时装模特，一组人过多地暴露了自己的视觉外观，还有38名来自普通人群的非模特。 Acceptability was assessed via a usability rating scale. To identify areas of body concern in 2D, topographical body maps were created by combining assessments across individuals. Statistical body maps of group differences in body concern were subsequently calculated using the formula for proportional z-score. To identify areas of body concern in 3D, participants’ subjective estimates from the 3D avatar were compared to corresponding measurements of their actual body parts. Discrepancy scores were calculated based on the difference between the perceived and actual body parts and evaluated using multivariate analysis of covariance. Results: Statistical body maps revealed different areas of body concern between models (more frequently about thighs and buttocks) and nonmodels (more frequently about abdomen/waist). Models were more accurate at estimating their overall body size, whereas nonmodels tended to underestimate the size of individual body parts, showing greater discrepancy scores for bust, biceps, waist, hips, and calves but not shoulders and thighs. Models and nonmodels reported high ease-of-use scores (8.4/10 and 8.5/10, respectively), and the resulting 3D avatar closely resembled their actual body (72.7% and 75.2%, respectively). Conclusions: These pilot results suggest that Somatomap is feasible to use and offers new opportunities for assessment of body image perception in mobile settings. Although further testing is needed to determine the applicability of this approach to other populations, Somatomap provides unique insight into how humans perceive and represent the visual characteristics of their body. SN - 2368-7959 UR - http://mental.www.mybigtv.com/2019/10/e14115/ UR - https://doi.org/10.2196/14115 UR - http://www.ncbi.nlm.nih.gov/pubmed/31469647 DO - 10.2196/14115 ID - info:doi/10.2196/14115 ER -