Literature DB >> 21386803

Body shape by 3-D photonic scanning in Thai and UK adults: comparison of national sizing surveys.

J C K Wells1, P Treleaven, S Charoensiriwath.   

Abstract

BACKGROUND: Body mass index (BMI) cut-offs associated with increased risk of diabetes and cardiovascular disease differ between European and Asian populations, and among Asian populations. Within-population and ethnic variability in body shape has likewise been linked with variability in cardiovascular risk in western settings.
OBJECTIVES: To explore differences between Thai and White UK adults in body shape and its associations with height, age and BMI.
METHODS: Data on weight and body shape by 3-D photonic scanning from National Sizing Surveys of UK (3542 men, 4130 women) and Thai (5889 men, 6499 women) adults aged 16-90 years, using a common protocol and methodology, were analysed.
RESULTS: Thai adults in both sexes had significantly smaller body girths than UK adults after adjusting for age and height. Matching for BMI, and adjusting for height and age, Thais in both sexes tended to have similar or greater limb girths, but significantly smaller torso girths (especially waist and hip) than UK individuals. These results were replicated within narrow BMI bands at ∼20 and ∼25 kg m(-2). Shape-age associations also differed between the populations. DISCUSSION: Young Thai adults have a significantly slighter physique than White UK adults, with a less central distribution of body weight. However these differences reduce with age, especially in males. The 3-D photonic scanning provides detailed digital anthropometric data capable of monitoring between- and within-individual shape variability. The technology merits further application to investigate whether variability in body shape is more sensitive to metabolic risk than BMI within and between-populations.

Entities:  

Mesh:

Year:  2011        PMID: 21386803     DOI: 10.1038/ijo.2011.51

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  10 in total

Review 1.  Multi-component molecular-level body composition reference methods: evolving concepts and future directions.

Authors:  S B Heymsfield; C B Ebbeling; J Zheng; A Pietrobelli; B J Strauss; A M Silva; D S Ludwig
Journal:  Obes Rev       Date:  2015-02-03       Impact factor: 9.213

2.  Anthropometric evaluation of a 3D scanning mobile application.

Authors:  Brooke Smith; Cassidy McCarthy; Marcelline E Dechenaud; Michael C Wong; John Shepherd; Steven B Heymsfield
Journal:  Obesity (Silver Spring)       Date:  2022-05-02       Impact factor: 9.298

3.  The effect of visceral obesity on clinicopathological features in patients with endometrial cancer: a retrospective analysis of 200 Chinese patients.

Authors:  Shuang Ye; Hao Wen; Zhaoxia Jiang; Xiaohua Wu
Journal:  BMC Cancer       Date:  2016-03-11       Impact factor: 4.430

4.  Comparison of 3D laser-based photonic scans and manual anthropometric measurements of body size and shape in a validation study of 123 young Swiss men.

Authors:  Frank J Rühli; Kaspar Staub; Nikola Koepke; Marcel Zwahlen; Jonathan C Wells; Nicole Bender; Maciej Henneberg
Journal:  PeerJ       Date:  2017-02-09       Impact factor: 2.984

5.  Multiple measures derived from 3D photonic body scans improve predictions of fat and muscle mass in young Swiss men.

Authors:  Roman Sager; Sabine Güsewell; Frank Rühli; Nicole Bender; Kaspar Staub
Journal:  PLoS One       Date:  2020-06-11       Impact factor: 3.240

6.  Waist circumference, not body mass index, is associated with renal function decline in korean population: hallym aging study.

Authors:  Hyunju Oh; Shan Ai Quan; Jin-Young Jeong; Soong-Nang Jang; Jung Eun Lee; Dong-Hyun Kim
Journal:  PLoS One       Date:  2013-03-25       Impact factor: 3.240

7.  Acceptability, Precision and Accuracy of 3D Photonic Scanning for Measurement of Body Shape in a Multi-Ethnic Sample of Children Aged 5-11 Years: The SLIC Study.

Authors:  Jonathan C K Wells; Janet Stocks; Rachel Bonner; Emma Raywood; Sarah Legg; Simon Lee; Philip Treleaven; Sooky Lum
Journal:  PLoS One       Date:  2015-04-28       Impact factor: 3.240

8.  Body shape and size in 6-year old children: assessment by three-dimensional photonic scanning.

Authors:  L P Santos; K K Ong; F Day; J C K Wells; A Matijasevich; I S Santos; C G Victora; A J D Barros
Journal:  Int J Obes (Lond)       Date:  2016-02-16       Impact factor: 5.095

Review 9.  Body composition and the monitoring of non-communicable chronic disease risk.

Authors:  J C K Wells; M K Shirley
Journal:  Glob Health Epidemiol Genom       Date:  2016-10-21

10.  Simulation of 3D Body Shapes for Pregnant and Postpartum Women.

Authors:  Chanjira Sinthanayothin; Piyanut Xuto; Wisarut Bholsithi; Duangrat Gansawat; Nonlapas Wongwaen; Nantaporn Ratisoontorn; Parut Bunporn; Supiya Charoensiriwath
Journal:  Sensors (Basel)       Date:  2022-03-05       Impact factor: 3.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.