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Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study
BACKGROUND: Few studies have reported the prevalence of metabolic syndrome (MS) and examined relationships between socioeconomic status and MS in rural China. This study aimed to evaluate the prevalence of MS and MS components as well as their associations with socioeconomic status among rural Chine...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572445/ https://www.ncbi.nlm.nih.gov/pubmed/34742269 http://dx.doi.org/10.1186/s12889-021-12074-z |
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author | Ying, Xuhua Yang, Shuyue Li, Songtao Su, Meifang Wang, Na Chen, Yue Jiang, Qingwu Fu, Chaowei |
author_facet | Ying, Xuhua Yang, Shuyue Li, Songtao Su, Meifang Wang, Na Chen, Yue Jiang, Qingwu Fu, Chaowei |
author_sort | Ying, Xuhua |
collection | PubMed |
description | BACKGROUND: Few studies have reported the prevalence of metabolic syndrome (MS) and examined relationships between socioeconomic status and MS in rural China. This study aimed to evaluate the prevalence of MS and MS components as well as their associations with socioeconomic status among rural Chinese adults. METHODS: A cross-sectional study of 26,836 participants aged 20 years and older was conducted from June to December 2012 in Yuhuan City, Zhejiang Province, China, which is located on Yuhuan Island. A multivariable logistic regression model was used to identify risk factors for MS and their possible interactions. RESULTS: Among 26,836 subjects with an average age of 53.4 ± 14.0 years, 59% were female. The overall prevalence of MS was 20.5%, and there was a significant sex difference in the prevalence (15.1% for males vs. 24.2% for females, P < 0.001). Compared with males, females also showed a significantly higher proportion of most MS components. A significantly higher prevalence of MS was found among subjects who were elderly, had a lower income level, had a lower level of education, or were unemployed. Multiple significant interactions were observed between the prevalence of MS and sex, age or socioeconomic status (P < 0.001). The risk of MS increased significantly with age in females but not in males. Additionally, a lower income level and a lower level of education were significantly related to an increased risk only in females, and unemployed males had a higher risk of MS than unemployed females. CONCLUSIONS: The prevalence of MS and its components was relatively high in a rural island Chinese population with rapid urbanization, and sex-specific associations between socioeconomic factors and MS were found. Targeted preventive interventions should be developed and implemented to prevent and control MS among those with low socioeconomic status, especially females. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12074-z. |
format | Online Article Text |
id | pubmed-8572445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85724452021-11-08 Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study Ying, Xuhua Yang, Shuyue Li, Songtao Su, Meifang Wang, Na Chen, Yue Jiang, Qingwu Fu, Chaowei BMC Public Health Research Article BACKGROUND: Few studies have reported the prevalence of metabolic syndrome (MS) and examined relationships between socioeconomic status and MS in rural China. This study aimed to evaluate the prevalence of MS and MS components as well as their associations with socioeconomic status among rural Chinese adults. METHODS: A cross-sectional study of 26,836 participants aged 20 years and older was conducted from June to December 2012 in Yuhuan City, Zhejiang Province, China, which is located on Yuhuan Island. A multivariable logistic regression model was used to identify risk factors for MS and their possible interactions. RESULTS: Among 26,836 subjects with an average age of 53.4 ± 14.0 years, 59% were female. The overall prevalence of MS was 20.5%, and there was a significant sex difference in the prevalence (15.1% for males vs. 24.2% for females, P < 0.001). Compared with males, females also showed a significantly higher proportion of most MS components. A significantly higher prevalence of MS was found among subjects who were elderly, had a lower income level, had a lower level of education, or were unemployed. Multiple significant interactions were observed between the prevalence of MS and sex, age or socioeconomic status (P < 0.001). The risk of MS increased significantly with age in females but not in males. Additionally, a lower income level and a lower level of education were significantly related to an increased risk only in females, and unemployed males had a higher risk of MS than unemployed females. CONCLUSIONS: The prevalence of MS and its components was relatively high in a rural island Chinese population with rapid urbanization, and sex-specific associations between socioeconomic factors and MS were found. Targeted preventive interventions should be developed and implemented to prevent and control MS among those with low socioeconomic status, especially females. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12074-z. BioMed Central 2021-11-06 /pmc/articles/PMC8572445/ /pubmed/34742269 http://dx.doi.org/10.1186/s12889-021-12074-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Ying, Xuhua Yang, Shuyue Li, Songtao Su, Meifang Wang, Na Chen, Yue Jiang, Qingwu Fu, Chaowei Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study |
title | Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study |
title_full | Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study |
title_fullStr | Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study |
title_full_unstemmed | Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study |
title_short | Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study |
title_sort | prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural china: a cross-sectional study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572445/ https://www.ncbi.nlm.nih.gov/pubmed/34742269 http://dx.doi.org/10.1186/s12889-021-12074-z |
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