Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults
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Lu, Yaoqin
Li, Wenli
Xue, Mingyue
Chen, Chen
Haireti, Muyaseer
Li, Yuanyuan
Liu, Zhenhui
Liu, Yanshi
Wang, Shuxia
Yao, Hua
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Abstract
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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Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
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13
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© 2020 Su et al. 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.
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Medical biochemistry and metabolomics
Endocrinology
Science & Technology
Life Sciences & Biomedicine
metabolic syndrome
MetS
Metabolism
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Su, Y; Lu, Y; Li, W; Xue, M; Chen, C; Haireti, M; Li, Y; Liu, Z; Liu, Y; Wang, S; Yao, H, Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults, Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 2020, 13, pp. 4869-4883