Literature DB >> 17284738

BMI compared with 3-dimensional body shape: the UK National Sizing Survey.

Jonathan C K Wells1, Philip Treleaven, Tim J Cole.   

Abstract

BACKGROUND: Human body shape is a rich source of information about health and the risk of disease. Measuring anthropometry manually is time-consuming, however, and only a few indexes of shape (eg, body girths and their ratios) are used regularly in clinical practice or epidemiology, both of which still rely primarily on body mass index (BMI). Three-dimensional (3-D) body scanning provides high-quality digital information about shape.
OBJECTIVES: The objectives of the study were to investigate the relation of shape and BMI and to examine associations between age, sex, and shape.
DESIGN: In a cross-sectional study of 9617 adults (45% male) aged 16-91 y who were participating in the UK National Sizing Survey, body girths and their ratios were obtained with the use of a 3-D body scan. Data on weight and height were also obtained.
RESULTS: BMI was significantly associated with chest and waist in men and with hips and bust in women. In early adulthood, the sexes differed significantly in shape; however, these differences declined with age. Whereas male shape remained highly stable through adulthood, upper body girths, particularly waist, increased in women, but thigh decreased. After adjustment for other girths, waist was significantly and inversely associated with height, particularly in men. Waist varied widely in both sexes for a given BMI value.
CONCLUSIONS: Relations between BMI and shape differed significantly between the sexes, particularly in association with age. The inverse association between height and waist in men suggests either a genetic contribution or a link between early growth pattern and predisposition to obesity. The 3-D scans offer a novel approach for epidemiologic research into associations between body shape and health risks and outcomes.

Entities:  

Mesh:

Year:  2007        PMID: 17284738     DOI: 10.1093/ajcn/85.2.419

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  46 in total

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2.  Efficacy of thigh volume ratios assessed via stereovision body imaging as a predictor of visceral adipose tissue measured by magnetic resonance imaging.

Authors:  Jane J Lee; Jeanne H Freeland-Graves; M Reese Pepper; Wurong Yu; Bugao Xu
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3.  Clinical anthropometrics and body composition from 3D whole-body surface scans.

Authors:  B K Ng; B J Hinton; B Fan; A M Kanaya; J A Shepherd
Journal:  Eur J Clin Nutr       Date:  2016-06-22       Impact factor: 4.016

4.  State-of-the-art measurements in human body composition: A moving frontier of clinical importance.

Authors:  D Gallagher; I Shaheen; K Zafar
Journal:  Int J Body Compos Res       Date:  2008

5.  Cardiometabolic index: a new tool for screening the metabolically obese normal weight phenotype.

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6.  Evaluation of a rotary laser body scanner for body volume and fat assessment.

Authors:  M Reese Pepper; Jeanne H Freeland-Graves; Wurong Yu; Philip R Stanforth; Bugao Xu
Journal:  J Test Eval       Date:  2010-07-08       Impact factor: 1.264

7.  Individual differences and weight bias: Do people with an anti-fat bias have a pro-thin bias?

Authors:  Robert A Carels; Dara R Musher-Eizenman
Journal:  Body Image       Date:  2010-01-20

8.  The impact of target weight and gender on perceptions of likeability, personality attributes, and functional impairment.

Authors:  Dara Musher-Eizenman; Robert A Carels
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Review 9.  Assessment methods in human body composition.

Authors:  Seon Yeong Lee; Dympna Gallagher
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2008-09       Impact factor: 4.294

10.  Cut-off points for anthropometric indices of adiposity: differential classification in a large population of young women.

Authors:  Sarah L Duggleby; Alan A Jackson; Keith M Godfrey; Siân M Robinson; Hazel M Inskip
Journal:  Br J Nutr       Date:  2008-07-18       Impact factor: 3.718

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