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Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China

BACKGROUND: Metabolic syndrome (MS) has abruptly increased in China in the past two decades, gradually representing an important public health threat over the years. Here, we firstly reported the prevalence and associated factors of metabolic syndrome in Jiangxi province, China. METHODS: A populatio...

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Autores principales: Wu, Li Ting, Shen, Yun Feng, Hu, Lei, Zhang, Mei Ying, Lai, Xiao Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993347/
https://www.ncbi.nlm.nih.gov/pubmed/32000739
http://dx.doi.org/10.1186/s12889-020-8207-x
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author Wu, Li Ting
Shen, Yun Feng
Hu, Lei
Zhang, Mei Ying
Lai, Xiao Yang
author_facet Wu, Li Ting
Shen, Yun Feng
Hu, Lei
Zhang, Mei Ying
Lai, Xiao Yang
author_sort Wu, Li Ting
collection PubMed
description BACKGROUND: Metabolic syndrome (MS) has abruptly increased in China in the past two decades, gradually representing an important public health threat over the years. Here, we firstly reported the prevalence and associated factors of metabolic syndrome in Jiangxi province, China. METHODS: A population-based cross-sectional survey was performed in Jiangxi province, China, from April to August 2015. MS was diagnosed by International Diabetes Federation (IDF) and Chinese Diabetes Society (CDS) criteria, respectively. Factors associated with MS were investigated by multivariate logistic regression. RESULTS: A total of 2665 residents aged over 18 years were enrolled, and 2580 effectively participated. According to IDF and CDS criteria, age-standardized prevalence of MS were 21.1 and 15.2% in all participants, respectively; prevalence were 19.6% or 17.1% in men, and 22.7% or 13.0% in women, based on these respective criteria. Rural participants had a significantly higher prevalence than urban individuals, so did rural females. Prevalence in males did not differ between rural and urban participants. Factors independently associated with MS were low education level and menopausal state. CONCLUSIONS: To the best of our knowledge, this was the latest study on MS prevalence in Jiangxi province. In conclusion, MS prevalence is high in Jiangxi province. Considering the unhealthy lifestyle, education is urgently needed to prevent the rapid increase of MS prevalence.
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spelling pubmed-69933472020-02-04 Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China Wu, Li Ting Shen, Yun Feng Hu, Lei Zhang, Mei Ying Lai, Xiao Yang BMC Public Health Research Article BACKGROUND: Metabolic syndrome (MS) has abruptly increased in China in the past two decades, gradually representing an important public health threat over the years. Here, we firstly reported the prevalence and associated factors of metabolic syndrome in Jiangxi province, China. METHODS: A population-based cross-sectional survey was performed in Jiangxi province, China, from April to August 2015. MS was diagnosed by International Diabetes Federation (IDF) and Chinese Diabetes Society (CDS) criteria, respectively. Factors associated with MS were investigated by multivariate logistic regression. RESULTS: A total of 2665 residents aged over 18 years were enrolled, and 2580 effectively participated. According to IDF and CDS criteria, age-standardized prevalence of MS were 21.1 and 15.2% in all participants, respectively; prevalence were 19.6% or 17.1% in men, and 22.7% or 13.0% in women, based on these respective criteria. Rural participants had a significantly higher prevalence than urban individuals, so did rural females. Prevalence in males did not differ between rural and urban participants. Factors independently associated with MS were low education level and menopausal state. CONCLUSIONS: To the best of our knowledge, this was the latest study on MS prevalence in Jiangxi province. In conclusion, MS prevalence is high in Jiangxi province. Considering the unhealthy lifestyle, education is urgently needed to prevent the rapid increase of MS prevalence. BioMed Central 2020-01-30 /pmc/articles/PMC6993347/ /pubmed/32000739 http://dx.doi.org/10.1186/s12889-020-8207-x Text en © The Author(s). 2020 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 Article
Wu, Li Ting
Shen, Yun Feng
Hu, Lei
Zhang, Mei Ying
Lai, Xiao Yang
Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China
title Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China
title_full Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China
title_fullStr Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China
title_full_unstemmed Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China
title_short Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China
title_sort prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in jiangxi province, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993347/
https://www.ncbi.nlm.nih.gov/pubmed/32000739
http://dx.doi.org/10.1186/s12889-020-8207-x
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