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Associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a Chinese rural population

AIMS/INTRODUCTION: Obesity plays a central role in metabolic syndrome. Obesity indexes are important in clinical work. In the present study, we sought to determine the relationships between obesity indexes and metabolic risk factors. MATERIALS AND METHODS: We studied 11,568 participants over 35 year...

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Autores principales: Guan, Xin, Sun, Guozhe, Zheng, Liqiang, Hu, Wenyu, Li, Wenna, Sun, Yingxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931212/
https://www.ncbi.nlm.nih.gov/pubmed/27181937
http://dx.doi.org/10.1111/jdi.12442
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author Guan, Xin
Sun, Guozhe
Zheng, Liqiang
Hu, Wenyu
Li, Wenna
Sun, Yingxian
author_facet Guan, Xin
Sun, Guozhe
Zheng, Liqiang
Hu, Wenyu
Li, Wenna
Sun, Yingxian
author_sort Guan, Xin
collection PubMed
description AIMS/INTRODUCTION: Obesity plays a central role in metabolic syndrome. Obesity indexes are important in clinical work. In the present study, we sought to determine the relationships between obesity indexes and metabolic risk factors. MATERIALS AND METHODS: We studied 11,568 participants over 35 years. Body mass index, waist circumference (WC), waist‐to‐height ratio (WHtR) and waist‐to‐hip ratio were measured and calculated. To compare the predictive ability of the obesity indexes in diagnosing multiple metabolic risk factors, the areas under receiver operating characteristic curves were calculated, and cut‐off values were determined. A partial correlation coefficient was used to assess the intercorrelations between the obesity indexes, and to evaluate the correlations between each index and each metabolic risk factor. RESULTS: The partial correlation coefficient for WHtR and WC was 0.947. In diagnosing multiple metabolic risk factors, the WHtR areas under receiver operating characteristic curves was greater than that for the other obesity indexes in both sexes. The cut‐off point for the WHtR was 0.50 in men and 0.52 in women. The cut‐off point for WC was 85 cm in men and 80 cm in women. CONCLUSIONS: WHtR strongly correlates with WC. The WHtR might show the same predictive ability as the WC in diagnosing multiple metabolic risk factors.
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spelling pubmed-49312122016-07-06 Associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a Chinese rural population Guan, Xin Sun, Guozhe Zheng, Liqiang Hu, Wenyu Li, Wenna Sun, Yingxian J Diabetes Investig Articles AIMS/INTRODUCTION: Obesity plays a central role in metabolic syndrome. Obesity indexes are important in clinical work. In the present study, we sought to determine the relationships between obesity indexes and metabolic risk factors. MATERIALS AND METHODS: We studied 11,568 participants over 35 years. Body mass index, waist circumference (WC), waist‐to‐height ratio (WHtR) and waist‐to‐hip ratio were measured and calculated. To compare the predictive ability of the obesity indexes in diagnosing multiple metabolic risk factors, the areas under receiver operating characteristic curves were calculated, and cut‐off values were determined. A partial correlation coefficient was used to assess the intercorrelations between the obesity indexes, and to evaluate the correlations between each index and each metabolic risk factor. RESULTS: The partial correlation coefficient for WHtR and WC was 0.947. In diagnosing multiple metabolic risk factors, the WHtR areas under receiver operating characteristic curves was greater than that for the other obesity indexes in both sexes. The cut‐off point for the WHtR was 0.50 in men and 0.52 in women. The cut‐off point for WC was 85 cm in men and 80 cm in women. CONCLUSIONS: WHtR strongly correlates with WC. The WHtR might show the same predictive ability as the WC in diagnosing multiple metabolic risk factors. John Wiley and Sons Inc. 2015-12-26 2016-07 /pmc/articles/PMC4931212/ /pubmed/27181937 http://dx.doi.org/10.1111/jdi.12442 Text en © 2015 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Articles
Guan, Xin
Sun, Guozhe
Zheng, Liqiang
Hu, Wenyu
Li, Wenna
Sun, Yingxian
Associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a Chinese rural population
title Associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a Chinese rural population
title_full Associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a Chinese rural population
title_fullStr Associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a Chinese rural population
title_full_unstemmed Associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a Chinese rural population
title_short Associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a Chinese rural population
title_sort associations between metabolic risk factors and body mass index, waist circumference, waist‐to‐height ratio and waist‐to‐hip ratio in a chinese rural population
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931212/
https://www.ncbi.nlm.nih.gov/pubmed/27181937
http://dx.doi.org/10.1111/jdi.12442
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