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Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults

PURPOSE: This study aimed to examine the prevalence and correlates of metabolic syndrome (MetS) in multi-ethnic populations of Northwest China based on Large-scale provincial health checking data. PATIENTS AND METHODS: A total of 9,745,640 Chinese aged ≥18 years in Xinjiang, the largest autonomous r...

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Autores principales: Su, Yinxia, Lu, Yaoqin, Li, Wenli, Xue, Mingyue, Chen, Chen, Haireti, Muyaseer, Li, Yuanyuan, Liu, Zhenhui, Liu, Yanshi, Wang, Shuxia, Yao, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737555/
https://www.ncbi.nlm.nih.gov/pubmed/33335411
http://dx.doi.org/10.2147/DMSO.S278346
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author Su, Yinxia
Lu, Yaoqin
Li, Wenli
Xue, Mingyue
Chen, Chen
Haireti, Muyaseer
Li, Yuanyuan
Liu, Zhenhui
Liu, Yanshi
Wang, Shuxia
Yao, Hua
author_facet Su, Yinxia
Lu, Yaoqin
Li, Wenli
Xue, Mingyue
Chen, Chen
Haireti, Muyaseer
Li, Yuanyuan
Liu, Zhenhui
Liu, Yanshi
Wang, Shuxia
Yao, Hua
author_sort Su, Yinxia
collection PubMed
description PURPOSE: This study aimed to examine the prevalence and correlates of metabolic syndrome (MetS) in multi-ethnic populations of Northwest China based on Large-scale provincial health checking data. PATIENTS AND METHODS: A total of 9,745,640 Chinese aged ≥18 years in Xinjiang, the largest autonomous region of multi-ethnic in China, were enrolled from Feb. to Sep. 2019. MetS was defined by modified Adult Treatment Panel (ATP III) criteria. RESULTS: The overall prevalence of MetS was 20.85% [Sex: 20.06% female, 21.56% male; Age: 39.22% 60-years and above, 26.32% 40- to 59-years and 9.56% 18- to 39-years; Ethnicity: 28.19% Hui followed by Han (26.39%), Uyghur (18.56%), Other (18.61%), Kazak (17.98%), Mongolian (17.87%), Kyrgyz (14.44%)]. People living in cities and towns (23.03%) or North (24.78%) had higher prevalence of MetS than rural (19.94%) and South (17.66%). Although the prevalence of hypertension, smoking, drinking and lack of physical activity were higher in Kyrgyz, Mongolian and Kazak than those of other ethnic groups, the risk of MetS was lower. CONCLUSION: The results indicated that a high prevalence of MetS in Hui and Han groups and people living in cities and towns. Living in North Xinjiang and elder population tend to have higher prevalence of MetS. The prevention and management of MetS in these populations should be prioritized.
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spelling pubmed-77375552020-12-16 Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults Su, Yinxia Lu, Yaoqin Li, Wenli Xue, Mingyue Chen, Chen Haireti, Muyaseer Li, Yuanyuan Liu, Zhenhui Liu, Yanshi Wang, Shuxia Yao, Hua Diabetes Metab Syndr Obes Original Research PURPOSE: This study aimed to examine the prevalence and correlates of metabolic syndrome (MetS) in multi-ethnic populations of Northwest China based on Large-scale provincial health checking data. PATIENTS AND METHODS: A total of 9,745,640 Chinese aged ≥18 years in Xinjiang, the largest autonomous region of multi-ethnic in China, were enrolled from Feb. to Sep. 2019. MetS was defined by modified Adult Treatment Panel (ATP III) criteria. RESULTS: The overall prevalence of MetS was 20.85% [Sex: 20.06% female, 21.56% male; Age: 39.22% 60-years and above, 26.32% 40- to 59-years and 9.56% 18- to 39-years; Ethnicity: 28.19% Hui followed by Han (26.39%), Uyghur (18.56%), Other (18.61%), Kazak (17.98%), Mongolian (17.87%), Kyrgyz (14.44%)]. People living in cities and towns (23.03%) or North (24.78%) had higher prevalence of MetS than rural (19.94%) and South (17.66%). Although the prevalence of hypertension, smoking, drinking and lack of physical activity were higher in Kyrgyz, Mongolian and Kazak than those of other ethnic groups, the risk of MetS was lower. CONCLUSION: The results indicated that a high prevalence of MetS in Hui and Han groups and people living in cities and towns. Living in North Xinjiang and elder population tend to have higher prevalence of MetS. The prevention and management of MetS in these populations should be prioritized. Dove 2020-12-09 /pmc/articles/PMC7737555/ /pubmed/33335411 http://dx.doi.org/10.2147/DMSO.S278346 Text en © 2020 Su et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Su, Yinxia
Lu, Yaoqin
Li, Wenli
Xue, Mingyue
Chen, Chen
Haireti, Muyaseer
Li, Yuanyuan
Liu, Zhenhui
Liu, Yanshi
Wang, Shuxia
Yao, Hua
Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults
title Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults
title_full Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults
title_fullStr Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults
title_full_unstemmed Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults
title_short Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults
title_sort prevalence and correlation of metabolic syndrome: a cross-sectional study of nearly 10 million multi-ethnic chinese adults
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737555/
https://www.ncbi.nlm.nih.gov/pubmed/33335411
http://dx.doi.org/10.2147/DMSO.S278346
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