Validation of a 3-Dimensional Laser Body Scanner for Assessment of Waist and Hip Circumference

Pepper, M. Reese; Freeland‐Graves, Jeanne H.; Yu, Wangjie; Stanforth, Philip R.; Cahill, Jodi M; Mahometa, Michael J.; Xu, Bugao

doi:10.1080/07315724.2010.10719832

Cited by 25 publications

(25 citation statements)

References 22 publications

(35 reference statements)

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“…In recent years, this technique has been integrated for obesity assessment as the technique is easy-to-use, safe, cost-effective, and accurate [18]. This laboratory previously used 3D laser body scanner to assess body composition, including waist and hip circumferences [36], and body volume [37]. The ability to measure body volume compared to hydrodensitometry was highly accurate with a correlation between these two methods of 0.99 ( p <0.01) and an intraclass correlation coefficient of 0.99 ( p <0.01) [37].…”

Section: Discussionmentioning

confidence: 99%

Prediction of Android and Gynoid Body Adiposity via a Three-dimensional Stereovision Body Imaging System and Dual-Energy X-ray Absorptiometry

Lee

Freeland‐Graves

Pepper

et al. 2015

Journal of the American College of Nutrition

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Objective Current methods for measuring regional body fat are expensive and inconvenient compared to the relative cost-effectiveness and ease-of-use of a stereovision body imaging (SBI) system. The primary goal of this research is to develop prediction models for android and gynoid fat by body measurements assessed via SBI and dual-energy x-ray absorptiometry (DXA). Subsequently, mathematical equations for prediction of total and regional (trunk, leg) body adiposity were established via parameters measured by SBI and DXA. Methods A total of 121 participants were randomly assigned into primary and cross-validation groups. Body measurements were obtained via traditional anthropometrics, SBI, and DXA. Multiple regression analysis was conducted to develop mathematical equations by demographics and SBI assessed body measurements as independent variables and body adiposity (fat mass and percent fat) as dependent variables. The validity of the prediction models was evaluated by a split sample method and Bland-Altman analysis. Results The R2 of the prediction equations for fat mass and percent body fat were 93.2% and 76.4% for android, and 91.4% and 66.5% for gynoid, respectively. The limits of agreement for the fat mass and percent fat were − 0.06 ± 0.87 kg and − 0.11 ± 1.97 % for android and − 0.04 ± 1.58 kg and − 0.19 ± 4.27 % for gynoid. Prediction values for fat mass and percent fat were 94.6% and 88.9% for total body, 93.9% and 71.0% for trunk, and 92.4% and 64.1% for leg, respectively. Conclusions The three-dimensional (3D) SBI produces reliable parameters that can predict android and gynoid, as well as total and regional (trunk, leg) fat mass.

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Section: Discussionmentioning

confidence: 99%

Prediction of Android and Gynoid Body Adiposity via a Three-dimensional Stereovision Body Imaging System and Dual-Energy X-ray Absorptiometry

Lee

Freeland‐Graves

Pepper

et al. 2015

Journal of the American College of Nutrition

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“…Although 3D body scanners are regarded as the most precise and rapid measuring tools, vast majority of individuals in the related research or industrial application are adults or older than 16 years old [28][29][30][31]. 3D body scanner are commonly used to measure local dimensions of heads, hands or feet, as well as circumference of segments because they are simple and quick [32,33].…”

Section: Discussionmentioning

confidence: 99%

Anthropometric Database of the Preschool Children from 2 to 6 Years in Taiwan

et al. 2018

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Anthropometry is important in product or environment designs based on humanfactors. Specific anthropometric databases should be established for certain ofpopulations, especially for different genders, ages and races. In this study, 5772preschool children (from two to six years old) were recruited. An electromagneticmotion analysis system, measuring tape, an electronic scale and electronic caliperswere used to measure the basic data, structural and postural dimensions. Differencesin stature and weights were found in preliminary comparisons with children of the sameage in Japan and the United States. It is supposed that ethnic diversity leads to variedbody dimensions in children. This study established a large-scale and reliableanthropometric database of preschoolers which provides a practical reference fordesigns aimed at Taiwanese children. Accordingly, it is anticipated that the safety andsuitability of products and environments made for Taiwanese children can advancewith regard to ergonomics.

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“…The 3D body scanner has its uniqueness in including the fat tissue underneath the skin as part of body dimension during the scanning process, which manual measurements unable to provide (Pepper et al 2010 Lacking of awareness and poorer early intervention would lead to the development of non-communicable diseases such as cardiovascular disease in these subjects as well as others (Norafidah et al 2013). Thus, the 3D body scanner along with 3D images can be used to obtain precise measurements of body circumferences for early detection of abdominal obesity.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Abdominal Obesity using 3D Body Scanning Technology

Japar¹,

Manaharan²,

Shariff³

et al. 2017

JSM

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Validation of a 3-Dimensional Laser Body Scanner for Assessment of Waist and Hip Circumference

Abstract: These findings indicate that the 3-dimensional laser body scanner is a reliable and valid technique for the estimation of waist and hip circumferences as compared with tape measure. This instrument is promising as a quick and simple method of body circumference analysis.

Cited by 25 publications

References 22 publications

Prediction of Android and Gynoid Body Adiposity via a Three-dimensional Stereovision Body Imaging System and Dual-Energy X-ray Absorptiometry

Prediction of Android and Gynoid Body Adiposity via a Three-dimensional Stereovision Body Imaging System and Dual-Energy X-ray Absorptiometry

Anthropometric Database of the Preschool Children from 2 to 6 Years in Taiwan

Assessment of Abdominal Obesity using 3D Body Scanning Technology

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