Literature DB >> 22506746

Body image, shape, and volumetric assessments using 3D whole body laser scanning and 2D digital photography in females with a diagnosed eating disorder: preliminary novel findings.

Arthur D Stewart1, Susan Klein, Julie Young, Susan Simpson, Amanda J Lee, Kirstin Harrild, Philip Crockett, Philip J Benson.   

Abstract

We piloted three-dimensional (3D) body scanning in eating disorder (ED) patients. Assessments of 22 ED patients (including nine anorexia nervosa (AN) patients, 12 bulimia nervosa (BN) patients, and one patient with eating disorder not otherwise specified) and 22 matched controls are presented. Volunteers underwent visual screening, two-dimensional (2D) digital photography to assess perception and dissatisfaction (via computerized image distortion), and adjunctive 3D full-body scanning. Patients and controls perceived themselves as bigger than their true shape (except in the chest region for controls and anorexia patients). All participants wished to be smaller across all body regions. Patients had poorer veridical perception and greater dissatisfaction than controls. Perception was generally poorer and dissatisfaction greater in bulimia compared with anorexia patients. 3D-volume:2D-area relationships showed that anorexia cases had least tissue on the torso and most on the arms and legs relative to frontal area. The engagement of patients with the scanning process suggests a validation study is viable. This would enable mental constructs of body image to be aligned with segmental volume of body areas, overcoming limitations, and errors associated with 2D instruments restricted to frontal (coronal) shapes. These novel data could inform the design of clinical trials in adjunctive treatments for eating disorders.
© 2011 The British Psychological Society.

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Year:  2011        PMID: 22506746     DOI: 10.1111/j.2044-8295.2011.02063.x

Source DB:  PubMed          Journal:  Br J Psychol        ISSN: 0007-1269


  3 in total

Review 1.  A machine learning approach relating 3D body scans to body composition in humans.

Authors:  James D Pleuss; Kevin Talty; Steven Morse; Patrick Kuiper; Michael Scioletti; Steven B Heymsfield; Diana M Thomas
Journal:  Eur J Clin Nutr       Date:  2018-10-12       Impact factor: 4.016

2.  A Smartphone Application for Personal Assessments of Body Composition and Phenotyping.

Authors:  Gian Luca Farina; Fabrizio Spataro; Antonino De Lorenzo; Henry Lukaski
Journal:  Sensors (Basel)       Date:  2016-12-17       Impact factor: 3.576

3.  Body size estimation in women with anorexia nervosa and healthy controls using 3D avatars.

Authors:  Katri K Cornelissen; Kristofor McCarty; Piers L Cornelissen; Martin J Tovée
Journal:  Sci Rep       Date:  2017-11-17       Impact factor: 4.379

  3 in total

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