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A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals
OBJECTIVE: Visceral obesity, reflected by the amount of visceral adipose tissue (VAT), is associated with multiple chronic diseases and metabolic disorders. The visceral fat area (VFA), measured by MRI, is the ‘gold standard’ for diagnosis of visceral obesity. In this study, a simple model to predic...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261284/ https://www.ncbi.nlm.nih.gov/pubmed/35813621 http://dx.doi.org/10.3389/fendo.2022.916124 |
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author | Liu, Hanying Yang, Di Li, Shaobo Xiao, Yunfeng Tu, Yinfang Peng, Danfeng Bao, Yuqian Han, Junfeng Yu, Haoyong |
author_facet | Liu, Hanying Yang, Di Li, Shaobo Xiao, Yunfeng Tu, Yinfang Peng, Danfeng Bao, Yuqian Han, Junfeng Yu, Haoyong |
author_sort | Liu, Hanying |
collection | PubMed |
description | OBJECTIVE: Visceral obesity, reflected by the amount of visceral adipose tissue (VAT), is associated with multiple chronic diseases and metabolic disorders. The visceral fat area (VFA), measured by MRI, is the ‘gold standard’ for diagnosis of visceral obesity. In this study, a simple model to predict VFA was constructed to facilitate the identification and monitoring of patients who are at high risk of visceral obesity. METHODS: The 721 overweight and obese participants were divided into two groups according to sex, then randomly assigned to derivation and validation cohorts in a 1:2 ratio. Data from the derivation group were used to construct a multiple linear regression model; data from the validation group were used to verify the validity of the model. RESULTS: The following prediction equations, applicable to both sexes, were developed based on age, waist circumference (WC) and neck circumference (NC) that exhibited strong correlations with the VFA: VFA=3.7×age+2.4×WC+5.5×NC-443.6 (R(2) = 0.511, adjusted R(2) = 0.481, for men) and VFA=2.8×age+1.7×WC+6.5×NC-367.3 (R(2) = 0.442, adjusted R(2) = 0.433, for women). The data demonstrated good fit for both sexes. A comparison of the predicted and actual VFA in the verification group confirmed the accuracy of the equations: for men, R(2) = 0.489, adjusted R(2) = 0.484 and intra-class correlation coefficient (ICC) = 0.653 (p < 0.001) and for women: R(2) = 0.538, adjusted R(2)= 0.536 and ICC = 0.672 (p < 0.001). The actual and predicted VFAs also showed good agreement in a Bland-Altman plot, indicating the significant correlations of both equations with the actual VFA. CONCLUSIONS: Based on readily available anthropometric data, VFA prediction equations consisting of age, WC and NC were developed. The equations are robust, with good predictive power in both sexes; they provide ideal tools for the early detection of visceral obesity in Chinese overweight and obese individuals. |
format | Online Article Text |
id | pubmed-9261284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92612842022-07-08 A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals Liu, Hanying Yang, Di Li, Shaobo Xiao, Yunfeng Tu, Yinfang Peng, Danfeng Bao, Yuqian Han, Junfeng Yu, Haoyong Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: Visceral obesity, reflected by the amount of visceral adipose tissue (VAT), is associated with multiple chronic diseases and metabolic disorders. The visceral fat area (VFA), measured by MRI, is the ‘gold standard’ for diagnosis of visceral obesity. In this study, a simple model to predict VFA was constructed to facilitate the identification and monitoring of patients who are at high risk of visceral obesity. METHODS: The 721 overweight and obese participants were divided into two groups according to sex, then randomly assigned to derivation and validation cohorts in a 1:2 ratio. Data from the derivation group were used to construct a multiple linear regression model; data from the validation group were used to verify the validity of the model. RESULTS: The following prediction equations, applicable to both sexes, were developed based on age, waist circumference (WC) and neck circumference (NC) that exhibited strong correlations with the VFA: VFA=3.7×age+2.4×WC+5.5×NC-443.6 (R(2) = 0.511, adjusted R(2) = 0.481, for men) and VFA=2.8×age+1.7×WC+6.5×NC-367.3 (R(2) = 0.442, adjusted R(2) = 0.433, for women). The data demonstrated good fit for both sexes. A comparison of the predicted and actual VFA in the verification group confirmed the accuracy of the equations: for men, R(2) = 0.489, adjusted R(2) = 0.484 and intra-class correlation coefficient (ICC) = 0.653 (p < 0.001) and for women: R(2) = 0.538, adjusted R(2)= 0.536 and ICC = 0.672 (p < 0.001). The actual and predicted VFAs also showed good agreement in a Bland-Altman plot, indicating the significant correlations of both equations with the actual VFA. CONCLUSIONS: Based on readily available anthropometric data, VFA prediction equations consisting of age, WC and NC were developed. The equations are robust, with good predictive power in both sexes; they provide ideal tools for the early detection of visceral obesity in Chinese overweight and obese individuals. Frontiers Media S.A. 2022-06-23 /pmc/articles/PMC9261284/ /pubmed/35813621 http://dx.doi.org/10.3389/fendo.2022.916124 Text en Copyright © 2022 Liu, Yang, Li, Xiao, Tu, Peng, Bao, Han and Yu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Liu, Hanying Yang, Di Li, Shaobo Xiao, Yunfeng Tu, Yinfang Peng, Danfeng Bao, Yuqian Han, Junfeng Yu, Haoyong A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals |
title | A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals |
title_full | A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals |
title_fullStr | A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals |
title_full_unstemmed | A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals |
title_short | A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals |
title_sort | reliable estimate of visceral fat area from simple anthropometric measurements in chinese overweight and obese individuals |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261284/ https://www.ncbi.nlm.nih.gov/pubmed/35813621 http://dx.doi.org/10.3389/fendo.2022.916124 |
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