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Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden
BACKGROUND: We aimed to evaluate the burden of cardiovascular (CV) risk factors in the community populations of Guangdong Province and its association with sociodemographic status (SDS). METHOD: The data were from the community populations of Guangdong Province who have participated in the China PEA...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624018/ https://www.ncbi.nlm.nih.gov/pubmed/36316767 http://dx.doi.org/10.1186/s12889-022-14374-4 |
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author | Cai, Anping Nie, Zhiqiang Ou, Yanqiu Wang, Jiabin Chen, Yanshuang Lu, Zhisheng Liang, Yanhua Zhou, Yingling Feng, Yingqing |
author_facet | Cai, Anping Nie, Zhiqiang Ou, Yanqiu Wang, Jiabin Chen, Yanshuang Lu, Zhisheng Liang, Yanhua Zhou, Yingling Feng, Yingqing |
author_sort | Cai, Anping |
collection | PubMed |
description | BACKGROUND: We aimed to evaluate the burden of cardiovascular (CV) risk factors in the community populations of Guangdong Province and its association with sociodemographic status (SDS). METHOD: The data were from the community populations of Guangdong Province who have participated in the China PEACE Million Persons Project between 2016 and 2020 (n = 102,358, women 60.5% and mean age 54.3 years). The prevalence of CV risk factors (smoking, drinking, overweight/obesity, hypertension, dyslipidemia and diabetes mellitus) and its association with SDS (age, sex and socioeconomic status [SES]) was evaluated cross-sectionally. RESULTS: The prevalence of overweight/obesity was 48.9%, hypertension 39.9%, dyslipidemia 18.6%, smoking 17.2%, diabetes mellitus 16.1% and drinking 5.3%. Even in young adults (aged 35–44), nearly 60% had at least 1 CV risk factor. Overweight/obesity often coexisted with other risk factors, including smoking, hypertension, dyslipidemia and diabetes mellitus. The proportion of people with no risk factor decreased with increasing age. Women were more likely than men to have no CV risk factor (29.4% vs. 12.7%). People with ≥ high school degree were more likely than those with < high school to have no risk factor (28.5% vs. 20.4%), and farmers were less likely than non-farmers to have no risk factor (20.8% vs. 23.1%). CONCLUSION: The burden of CV risk factors is high and varied by SDS in the community populations of Guangdong Province. Cost-effective and targeted interventions are needed to reduce the burden of CV risk factors at the population level. |
format | Online Article Text |
id | pubmed-9624018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96240182022-11-02 Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden Cai, Anping Nie, Zhiqiang Ou, Yanqiu Wang, Jiabin Chen, Yanshuang Lu, Zhisheng Liang, Yanhua Zhou, Yingling Feng, Yingqing BMC Public Health Research BACKGROUND: We aimed to evaluate the burden of cardiovascular (CV) risk factors in the community populations of Guangdong Province and its association with sociodemographic status (SDS). METHOD: The data were from the community populations of Guangdong Province who have participated in the China PEACE Million Persons Project between 2016 and 2020 (n = 102,358, women 60.5% and mean age 54.3 years). The prevalence of CV risk factors (smoking, drinking, overweight/obesity, hypertension, dyslipidemia and diabetes mellitus) and its association with SDS (age, sex and socioeconomic status [SES]) was evaluated cross-sectionally. RESULTS: The prevalence of overweight/obesity was 48.9%, hypertension 39.9%, dyslipidemia 18.6%, smoking 17.2%, diabetes mellitus 16.1% and drinking 5.3%. Even in young adults (aged 35–44), nearly 60% had at least 1 CV risk factor. Overweight/obesity often coexisted with other risk factors, including smoking, hypertension, dyslipidemia and diabetes mellitus. The proportion of people with no risk factor decreased with increasing age. Women were more likely than men to have no CV risk factor (29.4% vs. 12.7%). People with ≥ high school degree were more likely than those with < high school to have no risk factor (28.5% vs. 20.4%), and farmers were less likely than non-farmers to have no risk factor (20.8% vs. 23.1%). CONCLUSION: The burden of CV risk factors is high and varied by SDS in the community populations of Guangdong Province. Cost-effective and targeted interventions are needed to reduce the burden of CV risk factors at the population level. BioMed Central 2022-10-31 /pmc/articles/PMC9624018/ /pubmed/36316767 http://dx.doi.org/10.1186/s12889-022-14374-4 Text en © The Author(s) 2022 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 Cai, Anping Nie, Zhiqiang Ou, Yanqiu Wang, Jiabin Chen, Yanshuang Lu, Zhisheng Liang, Yanhua Zhou, Yingling Feng, Yingqing Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden |
title | Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden |
title_full | Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden |
title_fullStr | Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden |
title_full_unstemmed | Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden |
title_short | Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden |
title_sort | association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624018/ https://www.ncbi.nlm.nih.gov/pubmed/36316767 http://dx.doi.org/10.1186/s12889-022-14374-4 |
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