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Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population

The purpose of this study was to compare the predictive ability of five obesity indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHpR) and body adiposity index (BAI), to predict multiple non-adipose metabolic risk factors, includin...

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Autores principales: Gu, Zhan, Li, Dong, He, Huayu, Wang, Jianying, Hu, Xiaojuan, Zhang, Peihua, Hong, Yanlong, Liu, Baocheng, Zhang, Lei, Ji, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762873/
https://www.ncbi.nlm.nih.gov/pubmed/29321674
http://dx.doi.org/10.1038/s41598-017-18854-1
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author Gu, Zhan
Li, Dong
He, Huayu
Wang, Jianying
Hu, Xiaojuan
Zhang, Peihua
Hong, Yanlong
Liu, Baocheng
Zhang, Lei
Ji, Guang
author_facet Gu, Zhan
Li, Dong
He, Huayu
Wang, Jianying
Hu, Xiaojuan
Zhang, Peihua
Hong, Yanlong
Liu, Baocheng
Zhang, Lei
Ji, Guang
author_sort Gu, Zhan
collection PubMed
description The purpose of this study was to compare the predictive ability of five obesity indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHpR) and body adiposity index (BAI), to predict multiple non-adipose metabolic risk factors, including elevated blood pressure (BP), elevated fasting plasma glucose (FPG), elevated triglyceride (TG), reduced high-density lipoprotein cholesterol (HDL-C), elevated serum uric acid (SUA) and non-alcoholic fatty liver disease (NAFLD), in an elderly Chinese population. A total of 5685 elderly Chinese subjects (≥60 years) were recruited into our community-based cross-sectional study. Receiver operating characteristic curve (ROC) analyses were used to compare the predictive ability as well as determine the optimal cut-off values of the obesity indices for multiple metabolic risk factors. According to the areas under the receiver operating characteristic curve (AUC), BMI, WC and WHtR were able to similarly predict high metabolic risk in males (0.698 vs. 0.691 vs. 0.688), while in females, BMI and WC were able to similarly predict high metabolic risk (0.676 vs. 0.669). The optimal cut-off values of BMI, WC and WHtR in males were, respectively, 24.12 kg/m(2), 83.5 cm and 0.51, while in females, the values were 23.53 kg/m(2) and 77.5 cm.
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spelling pubmed-57628732018-01-17 Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population Gu, Zhan Li, Dong He, Huayu Wang, Jianying Hu, Xiaojuan Zhang, Peihua Hong, Yanlong Liu, Baocheng Zhang, Lei Ji, Guang Sci Rep Article The purpose of this study was to compare the predictive ability of five obesity indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHpR) and body adiposity index (BAI), to predict multiple non-adipose metabolic risk factors, including elevated blood pressure (BP), elevated fasting plasma glucose (FPG), elevated triglyceride (TG), reduced high-density lipoprotein cholesterol (HDL-C), elevated serum uric acid (SUA) and non-alcoholic fatty liver disease (NAFLD), in an elderly Chinese population. A total of 5685 elderly Chinese subjects (≥60 years) were recruited into our community-based cross-sectional study. Receiver operating characteristic curve (ROC) analyses were used to compare the predictive ability as well as determine the optimal cut-off values of the obesity indices for multiple metabolic risk factors. According to the areas under the receiver operating characteristic curve (AUC), BMI, WC and WHtR were able to similarly predict high metabolic risk in males (0.698 vs. 0.691 vs. 0.688), while in females, BMI and WC were able to similarly predict high metabolic risk (0.676 vs. 0.669). The optimal cut-off values of BMI, WC and WHtR in males were, respectively, 24.12 kg/m(2), 83.5 cm and 0.51, while in females, the values were 23.53 kg/m(2) and 77.5 cm. Nature Publishing Group UK 2018-01-10 /pmc/articles/PMC5762873/ /pubmed/29321674 http://dx.doi.org/10.1038/s41598-017-18854-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gu, Zhan
Li, Dong
He, Huayu
Wang, Jianying
Hu, Xiaojuan
Zhang, Peihua
Hong, Yanlong
Liu, Baocheng
Zhang, Lei
Ji, Guang
Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population
title Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population
title_full Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population
title_fullStr Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population
title_full_unstemmed Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population
title_short Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population
title_sort body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in chinese elderly population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762873/
https://www.ncbi.nlm.nih.gov/pubmed/29321674
http://dx.doi.org/10.1038/s41598-017-18854-1
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