Categorizing the Morbidly Obese Body Shape and Estimating Body Appearance Outcome before Weight Loss Surgery Using 3D Anthropometric Data

Stefan, David B.; Gilbert, David A.

doi:10.15221/15.038

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…The indices are proposed by Stefan et al (2014) and Stefan and Gilbert (2015) and are based on measurements (linear and circumferential measurements, volume, and surface data) obtained from 3D scans of torso segments in morbidly obese individuals.…”

Section: Methodsmentioning

confidence: 99%

“…It has been shown that these "shape descriptors" remain consistent throughout the weight loss. Thus, both can be used to document the measurements of preoperative morbidly obese individuals and to track their measurement changes periodically after weight loss surgery as part of the postoperative follow-up visits (Stefan and Gilbert, 2015).…”

Section: Associated Health Aspectsmentioning

confidence: 99%

“…A scale has been described for PS indicator for determining morbidly obese body fat distribution as gynecoid (≥0.8), mixed (0.71-0.79), or android (≤0.7). A scale has also been described for ST, which informs about the degree of the PS (Stefan and Gilbert, 2015).…”

Section: Classification Criteriamentioning

confidence: 99%

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Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

et al. 2021

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Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators (AHIs). We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations.

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Section: Methodsmentioning

confidence: 99%

Section: Associated Health Aspectsmentioning

confidence: 99%

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Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

et al. 2021

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“…This secondary indicator was called the Shape Tendency. It has been described in previous papers and presentations and is only of concern to refine the shape definition of the morbidly obese and extremely obese and will not be discussed here 5 .…”

Section: Figure 7 Primary Shape Interpretationmentioning

confidence: 99%

The Cycle of the Shape Descriptor Suite: When do People Become Overweight?

Stefan¹,

Gilbert²

2016

Proceedings of the 7th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 30 Nov.-1 Dec. 2016

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New Tools for Body Image Analysis: A Modern Framework Using 3D Body Scanning

Stefan¹,

Gilbert²

2016

Proceedings of the 7th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 30 Nov.-1 Dec. 2016

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Background Body Image Analysis (BIA) is an important area of research. It attempts to assess how the subject perceives their physical appearance, which can often differ substantially with the actual appearance of their body. One practical application is its use in qualifying bariatric patients prior to undertaking a weight loss surgery procedure. The psychologist plays as important a part in approving the weight loss surgery as the surgeon. The psychologist must undercover disorders such as binge eating and other behavioral distortions that may jeopardize successful surgical results or complicate surgical recovery. The early visual tools used for BIA were developed in the 1970s and early 1980s and have remained relatively stagnant. This paper discusses replacing the traditional 2D paper diagrams in use today with realistic 3D body scanning images. It also provides architectural framework options to incorporate and expand the use of a 3D body scanner within a weight loss surgery clinic or conduct BIA within a cloud based environment without the use of an on-site 3D body scanner. Scope Body image analysis and its related assessment tools started to become an area of study in the 1970's, and blossomed into an active field of research in the late 1980's. Most of the early focus revolved around eating disorders affecting young women and teenage girls. This paper emphasizes body image assessment techniques for the morbidly obese. However, the ideas and architecture set forth are not limited to this area alone. It is extensible and can be applied to the traditional arenas that are concerned with body image analysis from a clinical assessment point of view. All that is needed is a large repository of relevant scan images. History of Body Image Analysis Body Image Analysis is something humans have been doing since early Man began walking the face of the Earth. It is something that we do either subconsciously or consciously every day. It is a qualitative evaluation. That is, we evaluate ourselves in front of a mirror, compare ourselves to others, and also compare ourselves to the myriad of images set forth in movies, television, advertisements and magazines. We also listen to the opinions of others, or overhear casual gossip and listen with interest about the features and impressions made by the appearance of others on these individuals. This is nothing new. Everyone has at one time or another been asked, "On a scale of 1 to 10, how would you rate yourself (or him or her, or this or that)? But, this can hardly be called a scientific effort to "quantify the qualitative." As a starting point for the discussion of body image, a reference as to just how the "ideal body" image creates itself is in order.

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Categorizing the Morbidly Obese Body Shape and Estimating Body Appearance Outcome before Weight Loss Surgery Using 3D Anthropometric Data

Cited by 3 publications

References 2 publications

Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

The Cycle of the Shape Descriptor Suite: When do People Become Overweight?

New Tools for Body Image Analysis: A Modern Framework Using 3D Body Scanning

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