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Prevalence of metabolic syndrome among ethnic groups in China

BACKGROUND: Metabolic syndrome (MetS) is common in China, which has a multi-ethnic population of 1·3 billion. We set out to determine the prevalence of MetS and its components in different ethnic groups. METHODS: This nationwide cross-sectional survey involved 24,796 participants from eight ethnicit...

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Autores principales: Qin, Xuzhen, Qiu, Ling, Tang, Guodong, Tsoi, Man-Fung, Xu, Tao, Zhang, Lin, Qi, Zhihong, Zhu, Guangjin, Cheung, Bernard M. Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060543/
https://www.ncbi.nlm.nih.gov/pubmed/32143667
http://dx.doi.org/10.1186/s12889-020-8393-6
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author Qin, Xuzhen
Qiu, Ling
Tang, Guodong
Tsoi, Man-Fung
Xu, Tao
Zhang, Lin
Qi, Zhihong
Zhu, Guangjin
Cheung, Bernard M. Y.
author_facet Qin, Xuzhen
Qiu, Ling
Tang, Guodong
Tsoi, Man-Fung
Xu, Tao
Zhang, Lin
Qi, Zhihong
Zhu, Guangjin
Cheung, Bernard M. Y.
author_sort Qin, Xuzhen
collection PubMed
description BACKGROUND: Metabolic syndrome (MetS) is common in China, which has a multi-ethnic population of 1·3 billion. We set out to determine the prevalence of MetS and its components in different ethnic groups. METHODS: This nationwide cross-sectional survey involved 24,796 participants from eight ethnicities in six provinces in China from 2008 to 2011. MetS was defined using the modified National Cholesterol Education Program Adult Treatment Panel III criteria. Results were analysed using SPSS version 22·0 in 2018. Logistic regression was used for deriving odds ratios and 95% confidence intervals of risk factors for the MetS. RESULTS: The prevalence of MetS increased with age from 3·60% to 21·68%. After age standardization, the prevalence of MetS, in descending order, was 35·42% (Korean), 22·82% (Hui), 19·80% (Han), 13·72% (Miao), 12·90% (Tujia), 12·04% (Li), 11·61% (Mongolian), 6·17% (Tibetan). Korean ethnicity was associated with a higher prevalence in five components of MetS, while Tibetan ethnicity was associated with lower prevalence except decreased HDL cholesterol. Logistic regression analyses showed that age, drinking and being non-Tibetan were associated with a higher risk of MetS. CONCLUSIONS: Within one country, albeit a large one, the prevalence of MetS can vary greatly. Chinese of Korean ethnicity had a much higher prevalence than Tibetan ethnicity. Measures to tackle MetS should be tailored to the ethnic groups within a population.
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spelling pubmed-70605432020-03-12 Prevalence of metabolic syndrome among ethnic groups in China Qin, Xuzhen Qiu, Ling Tang, Guodong Tsoi, Man-Fung Xu, Tao Zhang, Lin Qi, Zhihong Zhu, Guangjin Cheung, Bernard M. Y. BMC Public Health Research Article BACKGROUND: Metabolic syndrome (MetS) is common in China, which has a multi-ethnic population of 1·3 billion. We set out to determine the prevalence of MetS and its components in different ethnic groups. METHODS: This nationwide cross-sectional survey involved 24,796 participants from eight ethnicities in six provinces in China from 2008 to 2011. MetS was defined using the modified National Cholesterol Education Program Adult Treatment Panel III criteria. Results were analysed using SPSS version 22·0 in 2018. Logistic regression was used for deriving odds ratios and 95% confidence intervals of risk factors for the MetS. RESULTS: The prevalence of MetS increased with age from 3·60% to 21·68%. After age standardization, the prevalence of MetS, in descending order, was 35·42% (Korean), 22·82% (Hui), 19·80% (Han), 13·72% (Miao), 12·90% (Tujia), 12·04% (Li), 11·61% (Mongolian), 6·17% (Tibetan). Korean ethnicity was associated with a higher prevalence in five components of MetS, while Tibetan ethnicity was associated with lower prevalence except decreased HDL cholesterol. Logistic regression analyses showed that age, drinking and being non-Tibetan were associated with a higher risk of MetS. CONCLUSIONS: Within one country, albeit a large one, the prevalence of MetS can vary greatly. Chinese of Korean ethnicity had a much higher prevalence than Tibetan ethnicity. Measures to tackle MetS should be tailored to the ethnic groups within a population. BioMed Central 2020-03-06 /pmc/articles/PMC7060543/ /pubmed/32143667 http://dx.doi.org/10.1186/s12889-020-8393-6 Text en © The Author(s). 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Qin, Xuzhen
Qiu, Ling
Tang, Guodong
Tsoi, Man-Fung
Xu, Tao
Zhang, Lin
Qi, Zhihong
Zhu, Guangjin
Cheung, Bernard M. Y.
Prevalence of metabolic syndrome among ethnic groups in China
title Prevalence of metabolic syndrome among ethnic groups in China
title_full Prevalence of metabolic syndrome among ethnic groups in China
title_fullStr Prevalence of metabolic syndrome among ethnic groups in China
title_full_unstemmed Prevalence of metabolic syndrome among ethnic groups in China
title_short Prevalence of metabolic syndrome among ethnic groups in China
title_sort prevalence of metabolic syndrome among ethnic groups in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060543/
https://www.ncbi.nlm.nih.gov/pubmed/32143667
http://dx.doi.org/10.1186/s12889-020-8393-6
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