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Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China
BACKGROUND: This study aimed to evaluate the association of the metabolic syndrome (MetS) with various anthropometric and atherogenic parameters in adult Kazakh population in China. METHODS: Four thousand ninety-four Kazakhs were recruited since 2007 to 2010. MetS and its components were confirmed a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5035440/ https://www.ncbi.nlm.nih.gov/pubmed/27664082 http://dx.doi.org/10.1186/s12944-016-0338-9 |
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author | Chen, Xiaocui He, Chunhui Ma, Yitong Yang, Yining Liu, Fen Ma, Xiang Li, Xiaomei Xie, Xiang Chen, Bangdang |
author_facet | Chen, Xiaocui He, Chunhui Ma, Yitong Yang, Yining Liu, Fen Ma, Xiang Li, Xiaomei Xie, Xiang Chen, Bangdang |
author_sort | Chen, Xiaocui |
collection | PubMed |
description | BACKGROUND: This study aimed to evaluate the association of the metabolic syndrome (MetS) with various anthropometric and atherogenic parameters in adult Kazakh population in China. METHODS: Four thousand ninety-four Kazakhs were recruited since 2007 to 2010. MetS and its components were confirmed according to IDF criteria. Area under the curve (AUC) of each variable was compared. Sensitivity (Sen), specificity (Spe), shortest distance in receiver’s operating characteristic curve (ROC) and cutoff of each variable to diagnose MetS were calculated. RESULTS: 28.6 % of men and 31.0 % of women had MetS in the Kazakh population. In men, WHtR had the highest AUC value 0.821, followed by BMI (0.801), TG/HDL-C (0.792), WHR (0.776) and BAI (0.666). In women, WHtR also had the highest AUC value (0.835), following by BMI (0.789), WHR (0.778), TG/HDL-C (0.778) and BAI (0.751). WHtR had the shortest ROC distance that was 0.37 and the optimal cutoff was 0.55 in men. In women, WHtR also had the shortest ROC distance of 0.35 and the optimal cutoff was 0.54. CONCLUSION: WHtR is the best predictor of MetS in both Kazakh men and women according to the IDF criteria. |
format | Online Article Text |
id | pubmed-5035440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50354402016-09-29 Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China Chen, Xiaocui He, Chunhui Ma, Yitong Yang, Yining Liu, Fen Ma, Xiang Li, Xiaomei Xie, Xiang Chen, Bangdang Lipids Health Dis Research BACKGROUND: This study aimed to evaluate the association of the metabolic syndrome (MetS) with various anthropometric and atherogenic parameters in adult Kazakh population in China. METHODS: Four thousand ninety-four Kazakhs were recruited since 2007 to 2010. MetS and its components were confirmed according to IDF criteria. Area under the curve (AUC) of each variable was compared. Sensitivity (Sen), specificity (Spe), shortest distance in receiver’s operating characteristic curve (ROC) and cutoff of each variable to diagnose MetS were calculated. RESULTS: 28.6 % of men and 31.0 % of women had MetS in the Kazakh population. In men, WHtR had the highest AUC value 0.821, followed by BMI (0.801), TG/HDL-C (0.792), WHR (0.776) and BAI (0.666). In women, WHtR also had the highest AUC value (0.835), following by BMI (0.789), WHR (0.778), TG/HDL-C (0.778) and BAI (0.751). WHtR had the shortest ROC distance that was 0.37 and the optimal cutoff was 0.55 in men. In women, WHtR also had the shortest ROC distance of 0.35 and the optimal cutoff was 0.54. CONCLUSION: WHtR is the best predictor of MetS in both Kazakh men and women according to the IDF criteria. BioMed Central 2016-09-23 /pmc/articles/PMC5035440/ /pubmed/27664082 http://dx.doi.org/10.1186/s12944-016-0338-9 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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. |
spellingShingle | Research Chen, Xiaocui He, Chunhui Ma, Yitong Yang, Yining Liu, Fen Ma, Xiang Li, Xiaomei Xie, Xiang Chen, Bangdang Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China |
title | Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China |
title_full | Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China |
title_fullStr | Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China |
title_full_unstemmed | Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China |
title_short | Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China |
title_sort | association of metabolic syndrome with various anthropometric and atherogenic parameters in the kazakh population in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5035440/ https://www.ncbi.nlm.nih.gov/pubmed/27664082 http://dx.doi.org/10.1186/s12944-016-0338-9 |
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