The study of anthropometric estimates in the visceral fat of healthy individuals

Nutrition Journal

Research

Li-Ming Chiang¹  Shu-Min Chiao²  Yu-Yawn Chen³  Chih-Lin Chuang⁴  Kuen-Chang Hsieh⁵  Chun-Hao Chen⁶ 

[1] College of Health Science, Movement Activities and Lifetime Fitness Department, East Stroudsburg University of Pennsylvania, 18301, East Stroudsburg, PA, USA;Department of Chemical and Materials Engineering, Tunghai University, Taichung City, Taiwan;Department of Physical Education, National Taiwan University of Physical Education and Sport, Taipei City, Taiwan;Department of Radiology, Jen-Ai Hospital, Taichung City, Taiwan;Office of Physical Education and Sport, National Chung Hsing University, Taichung City, Taiwan;Research Center, Charder Electronic Co., LTD, No. 103, Guozhong Rd, Dail Dist., Taichung City, Taiwan;Office of Physical Education, Tunghai University, Taichung City, Taiwan;

关键词: Computed tomography;    Stepwise linear regression analysis;    Subcutaneous fat thickness;    Waist circumference;    Waist-to-hip ratio;   

DOI  :  10.1186/1475-2891-13-46

 received in 2013-12-18, accepted in 2014-05-14,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundAbdominal visceral fat affects the metabolic processes, and is an important risk factor for morbidity and mortality. The purpose of the study was to develop a quick and accurate estimate in the visceral fat area (VFA) of the L4-L5 vertebrae using anthropometric predictor variables that can be measured conveniently.MethodsA total of 227 individuals participated in this study and were further divided into a Modeling group (MG) and a Validation group (VG). Anthropometrics measurements (height, weight, waist circumference, hip circumference, age, and subcutaneous fat thickness) and VFACT were measured using computer assisted tomography for all participants. Multivariate linear regression analysis was applied to the MG to construct a VFA estimator using anthropometric predictor variables and to evaluate its performance using the VG.ResultsThe estimate equation obtained from the MG were VFAANT = -144.66 + 1.84X1 + 1.35X2 + 0.52X3 (r = 0.92, SEE =14.58 cm2, P < 0.001, n = 152). The X1, X2, and X3 variables in the equation were denoted as waist circumference (WC), age, and abdomen subcutaneous fat thickness (AS). In addition, the correlation between VFAANT and VFACT showed a high correlation (r = 0.92).ConclusionA rapid and accurate VFA estimation can be achieved by using only age, WC, and AS. The approach in the present study provides an easy and reliable estimate that can be applied widely in health and epidemiology studies.

【 授权许可】

Unknown   
© Chen et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.