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Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017

The prevalence and influencing factors of metabolic syndrome (MetS) in Chinese residents aged 20 or older were investigated. The data were collected from China Nutrition and Health Surveillance (2015–2017), which used a stratified, multistage, random sampling method. A total of 130,018 residents age...

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Autores principales: Yao, Fan, Bo, Yacong, Zhao, Liyun, Li, Yaru, Ju, Lahong, Fang, Hongyun, Piao, Wei, Yu, Dongmei, Lao, Xiangqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705649/
https://www.ncbi.nlm.nih.gov/pubmed/34960027
http://dx.doi.org/10.3390/nu13124475
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author Yao, Fan
Bo, Yacong
Zhao, Liyun
Li, Yaru
Ju, Lahong
Fang, Hongyun
Piao, Wei
Yu, Dongmei
Lao, Xiangqian
author_facet Yao, Fan
Bo, Yacong
Zhao, Liyun
Li, Yaru
Ju, Lahong
Fang, Hongyun
Piao, Wei
Yu, Dongmei
Lao, Xiangqian
author_sort Yao, Fan
collection PubMed
description The prevalence and influencing factors of metabolic syndrome (MetS) in Chinese residents aged 20 or older were investigated. The data were collected from China Nutrition and Health Surveillance (2015–2017), which used a stratified, multistage, random sampling method. A total of 130,018 residents aged 20 years or older from 31 provinces were included in this study. The National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) criteria were used to define MetS. The standardised prevalence of high waist circumference, high blood pressure and low high-density lipoprotein cholesterol were 40.8%, 49.4% and 41.1%, respectively. The following factors were associated with a higher prevalence of MetS: female [odds ratio (OR) = 1.773, 95% CI = 1.709–1.840]; older age (OR = 1.037, 95% CI = 1.036–1.039); living in north China (OR = 1.087, 95% CI = 1.058–1.117); high body mass index (OR = 1.402, 95% CI = 1.395–1.408); higher income [OR (95% CI): 1.044 (1.007–1.083), 1.083 (1.044–1.124) and 1.123 (1.078–1.170) for moderate, high, and very high income, respectively]; family history of hypertension (OR = 1.237, 95% CI = 1.203–1.273); family history of diabetes (OR = 1.491, 95% CI = 1.426–1.558) and current smoking status (OR = 1.143, 95% CI = 1.098–1.191). Living in the countryside (OR = 0.960, 95% CI = 0.932–0.988), moderate alcohol consumption (OR = 0.917, 95% CI = 0.889–0.946) and being physically active (OR = 0.887, 95% CI = 0.862–0.913) were associated with a lower prevalence of MetS. The prevalence of MetS among residents aged 20 years or older in China is increasing, especially among women, people aged 45 years or older and urban residents. Preventive efforts, such as quitting smoking and engaging in physical activity, are recommended to reduce the risk of MetS.
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spelling pubmed-87056492021-12-25 Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017 Yao, Fan Bo, Yacong Zhao, Liyun Li, Yaru Ju, Lahong Fang, Hongyun Piao, Wei Yu, Dongmei Lao, Xiangqian Nutrients Article The prevalence and influencing factors of metabolic syndrome (MetS) in Chinese residents aged 20 or older were investigated. The data were collected from China Nutrition and Health Surveillance (2015–2017), which used a stratified, multistage, random sampling method. A total of 130,018 residents aged 20 years or older from 31 provinces were included in this study. The National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) criteria were used to define MetS. The standardised prevalence of high waist circumference, high blood pressure and low high-density lipoprotein cholesterol were 40.8%, 49.4% and 41.1%, respectively. The following factors were associated with a higher prevalence of MetS: female [odds ratio (OR) = 1.773, 95% CI = 1.709–1.840]; older age (OR = 1.037, 95% CI = 1.036–1.039); living in north China (OR = 1.087, 95% CI = 1.058–1.117); high body mass index (OR = 1.402, 95% CI = 1.395–1.408); higher income [OR (95% CI): 1.044 (1.007–1.083), 1.083 (1.044–1.124) and 1.123 (1.078–1.170) for moderate, high, and very high income, respectively]; family history of hypertension (OR = 1.237, 95% CI = 1.203–1.273); family history of diabetes (OR = 1.491, 95% CI = 1.426–1.558) and current smoking status (OR = 1.143, 95% CI = 1.098–1.191). Living in the countryside (OR = 0.960, 95% CI = 0.932–0.988), moderate alcohol consumption (OR = 0.917, 95% CI = 0.889–0.946) and being physically active (OR = 0.887, 95% CI = 0.862–0.913) were associated with a lower prevalence of MetS. The prevalence of MetS among residents aged 20 years or older in China is increasing, especially among women, people aged 45 years or older and urban residents. Preventive efforts, such as quitting smoking and engaging in physical activity, are recommended to reduce the risk of MetS. MDPI 2021-12-15 /pmc/articles/PMC8705649/ /pubmed/34960027 http://dx.doi.org/10.3390/nu13124475 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yao, Fan
Bo, Yacong
Zhao, Liyun
Li, Yaru
Ju, Lahong
Fang, Hongyun
Piao, Wei
Yu, Dongmei
Lao, Xiangqian
Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017
title Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017
title_full Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017
title_fullStr Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017
title_full_unstemmed Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017
title_short Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017
title_sort prevalence and influencing factors of metabolic syndrome among adults in china from 2015 to 2017
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705649/
https://www.ncbi.nlm.nih.gov/pubmed/34960027
http://dx.doi.org/10.3390/nu13124475
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