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Burden of Metabolic Syndrome Among a Low-Income Population in China: A Population-Based Cross-Sectional Study

INTRODUCTION: Metabolic syndrome (MetS) is a chronic and complex disease associated with all-cause mortality, cardiovascular disease, and type 2 diabetes. The present study aimed to evaluate the prevalence of MetS and its risk factors among middle-aged and older adults in low-income, low-education r...

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Autores principales: Bao, Jie, Wang, Lifeng, Hu, Peng, Liu, Jie, Tu, Jun, Wang, Jinghua, Li, Jidong, Ning, Xianjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9451033/
https://www.ncbi.nlm.nih.gov/pubmed/36091482
http://dx.doi.org/10.2147/DMSO.S377490
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author Bao, Jie
Wang, Lifeng
Hu, Peng
Liu, Jie
Tu, Jun
Wang, Jinghua
Li, Jidong
Ning, Xianjia
author_facet Bao, Jie
Wang, Lifeng
Hu, Peng
Liu, Jie
Tu, Jun
Wang, Jinghua
Li, Jidong
Ning, Xianjia
author_sort Bao, Jie
collection PubMed
description INTRODUCTION: Metabolic syndrome (MetS) is a chronic and complex disease associated with all-cause mortality, cardiovascular disease, and type 2 diabetes. The present study aimed to evaluate the prevalence of MetS and its risk factors among middle-aged and older adults in low-income, low-education rural areas with a high incidence of stroke. METHODS: This cross-sectional study of the general population was performed from April 2019 to June 2019 in rural areas of Tianjin, China. All eligible residents aged ≥ 45 years and without active malignant tumors, hepatic failure, and severe renal disease underwent routine medical examinations, which included a questionnaire, physical examination, and routine blood and biochemical tests. The modified International Diabetes Federation criteria for the Asian population was used to identify patients with MetS. RESULTS: A total of 3175 individuals (44.8% men, 55.2% women) were included in the final analysis. The prevalence of MetS was 52.8%, with higher prevalence in women than in men (62.4%and 40.9%, respectively). Of the five MetS components, high blood pressure and abdominal obesity were the two most prevalent in both women and men, accounting for 89.3% and 62.0%, respectively, followed by elevated fasting plasma glucose, low high-density lipoprotein cholesterol, and elevated triglycerides. Multivariate logistic regression analysis revealed the following traits to be risk factors for MetS: female sex, self-reported smoking, self-reported snoring, high body mass index, high waist-to-hip ratio, and high serum urate level. CONCLUSION: The prevalence of MetS was quite high in rural areas with a low-income, low-education population. Implementing preventive and therapeutic interventions based on these risk factors is essential to prevent metabolic abnormalities.
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spelling pubmed-94510332022-09-08 Burden of Metabolic Syndrome Among a Low-Income Population in China: A Population-Based Cross-Sectional Study Bao, Jie Wang, Lifeng Hu, Peng Liu, Jie Tu, Jun Wang, Jinghua Li, Jidong Ning, Xianjia Diabetes Metab Syndr Obes Original Research INTRODUCTION: Metabolic syndrome (MetS) is a chronic and complex disease associated with all-cause mortality, cardiovascular disease, and type 2 diabetes. The present study aimed to evaluate the prevalence of MetS and its risk factors among middle-aged and older adults in low-income, low-education rural areas with a high incidence of stroke. METHODS: This cross-sectional study of the general population was performed from April 2019 to June 2019 in rural areas of Tianjin, China. All eligible residents aged ≥ 45 years and without active malignant tumors, hepatic failure, and severe renal disease underwent routine medical examinations, which included a questionnaire, physical examination, and routine blood and biochemical tests. The modified International Diabetes Federation criteria for the Asian population was used to identify patients with MetS. RESULTS: A total of 3175 individuals (44.8% men, 55.2% women) were included in the final analysis. The prevalence of MetS was 52.8%, with higher prevalence in women than in men (62.4%and 40.9%, respectively). Of the five MetS components, high blood pressure and abdominal obesity were the two most prevalent in both women and men, accounting for 89.3% and 62.0%, respectively, followed by elevated fasting plasma glucose, low high-density lipoprotein cholesterol, and elevated triglycerides. Multivariate logistic regression analysis revealed the following traits to be risk factors for MetS: female sex, self-reported smoking, self-reported snoring, high body mass index, high waist-to-hip ratio, and high serum urate level. CONCLUSION: The prevalence of MetS was quite high in rural areas with a low-income, low-education population. Implementing preventive and therapeutic interventions based on these risk factors is essential to prevent metabolic abnormalities. Dove 2022-09-03 /pmc/articles/PMC9451033/ /pubmed/36091482 http://dx.doi.org/10.2147/DMSO.S377490 Text en © 2022 Bao et al. https://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/ (https://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
Bao, Jie
Wang, Lifeng
Hu, Peng
Liu, Jie
Tu, Jun
Wang, Jinghua
Li, Jidong
Ning, Xianjia
Burden of Metabolic Syndrome Among a Low-Income Population in China: A Population-Based Cross-Sectional Study
title Burden of Metabolic Syndrome Among a Low-Income Population in China: A Population-Based Cross-Sectional Study
title_full Burden of Metabolic Syndrome Among a Low-Income Population in China: A Population-Based Cross-Sectional Study
title_fullStr Burden of Metabolic Syndrome Among a Low-Income Population in China: A Population-Based Cross-Sectional Study
title_full_unstemmed Burden of Metabolic Syndrome Among a Low-Income Population in China: A Population-Based Cross-Sectional Study
title_short Burden of Metabolic Syndrome Among a Low-Income Population in China: A Population-Based Cross-Sectional Study
title_sort burden of metabolic syndrome among a low-income population in china: a population-based cross-sectional study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9451033/
https://www.ncbi.nlm.nih.gov/pubmed/36091482
http://dx.doi.org/10.2147/DMSO.S377490
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