Cargando…
Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China
OBJECTIVE: We aimed to estimate the prevalence of CRFs and investigate its associated social-economic factors among adults in coastal areas of Qinzhou, Guangxi. METHODS: A representative sample of 1836 participants aged 20 to 70 years was included in Qinzhou, Guangxi in 2020. Data were collected by...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912684/ https://www.ncbi.nlm.nih.gov/pubmed/36765357 http://dx.doi.org/10.1186/s13019-023-02137-0 |
_version_ | 1784885257595518976 |
---|---|
author | He, Fang Liao, Zhennan Li, Yu-Mei Luo, Yuanling Wu, Lili Lin, Liping Chen, Ying Deng, Weihong Huang, Junzhang |
author_facet | He, Fang Liao, Zhennan Li, Yu-Mei Luo, Yuanling Wu, Lili Lin, Liping Chen, Ying Deng, Weihong Huang, Junzhang |
author_sort | He, Fang |
collection | PubMed |
description | OBJECTIVE: We aimed to estimate the prevalence of CRFs and investigate its associated social-economic factors among adults in coastal areas of Qinzhou, Guangxi. METHODS: A representative sample of 1836 participants aged 20 to 70 years was included in Qinzhou, Guangxi in 2020. Data were collected by the questionnaire, anthropometric and laboratory measurements. The prevalence of CRFs, including hypertension, dyslipidemia, diabetes, overweight or obesity, alcohol consumption, and smoking were calculated by standardization. The multivariate logistic regression analysis was performed to explore the independent factors associated with the presence of CRFs. RESULTS: The age-standardized prevalence of hypertension, dyslipidemia, diabetes, overweight or obesity alcohol consumption, and smoking was 42.7%, 39.5%, 0.9%, 38.5%, 18.4% and 15.7%, respectively. The prevalence of clustering of at least one and at least two cardiovascular disease risk factors were 82.2% and 45.3% in total. There were differences in the aggregation of cardiovascular risk factors among different age, education, and income levels. There appeared higher clustering of at least one and at least two CRFs among adults with lower education level, higher income level and those elderly. CONCLUSIONS: Compared with other regions in China, a higher prevalence of CRFs exists among adults in Guangxi and several social-economic factors were associated with the presence of CRFs. These findings suggest that we should implement effective measures to control the CRFs, to reduce the risk of cardiovascular disease in adults. |
format | Online Article Text |
id | pubmed-9912684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99126842023-02-11 Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China He, Fang Liao, Zhennan Li, Yu-Mei Luo, Yuanling Wu, Lili Lin, Liping Chen, Ying Deng, Weihong Huang, Junzhang J Cardiothorac Surg Research OBJECTIVE: We aimed to estimate the prevalence of CRFs and investigate its associated social-economic factors among adults in coastal areas of Qinzhou, Guangxi. METHODS: A representative sample of 1836 participants aged 20 to 70 years was included in Qinzhou, Guangxi in 2020. Data were collected by the questionnaire, anthropometric and laboratory measurements. The prevalence of CRFs, including hypertension, dyslipidemia, diabetes, overweight or obesity, alcohol consumption, and smoking were calculated by standardization. The multivariate logistic regression analysis was performed to explore the independent factors associated with the presence of CRFs. RESULTS: The age-standardized prevalence of hypertension, dyslipidemia, diabetes, overweight or obesity alcohol consumption, and smoking was 42.7%, 39.5%, 0.9%, 38.5%, 18.4% and 15.7%, respectively. The prevalence of clustering of at least one and at least two cardiovascular disease risk factors were 82.2% and 45.3% in total. There were differences in the aggregation of cardiovascular risk factors among different age, education, and income levels. There appeared higher clustering of at least one and at least two CRFs among adults with lower education level, higher income level and those elderly. CONCLUSIONS: Compared with other regions in China, a higher prevalence of CRFs exists among adults in Guangxi and several social-economic factors were associated with the presence of CRFs. These findings suggest that we should implement effective measures to control the CRFs, to reduce the risk of cardiovascular disease in adults. BioMed Central 2023-02-10 /pmc/articles/PMC9912684/ /pubmed/36765357 http://dx.doi.org/10.1186/s13019-023-02137-0 Text en © The Author(s) 2023 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 He, Fang Liao, Zhennan Li, Yu-Mei Luo, Yuanling Wu, Lili Lin, Liping Chen, Ying Deng, Weihong Huang, Junzhang Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China |
title | Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China |
title_full | Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China |
title_fullStr | Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China |
title_full_unstemmed | Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China |
title_short | Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China |
title_sort | prevalence and clustering of cardiovascular risk factors among resident of coastal areas in qinzhou, guangxi, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912684/ https://www.ncbi.nlm.nih.gov/pubmed/36765357 http://dx.doi.org/10.1186/s13019-023-02137-0 |
work_keys_str_mv | AT hefang prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina AT liaozhennan prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina AT liyumei prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina AT luoyuanling prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina AT wulili prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina AT linliping prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina AT chenying prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina AT dengweihong prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina AT huangjunzhang prevalenceandclusteringofcardiovascularriskfactorsamongresidentofcoastalareasinqinzhouguangxichina |