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Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China)
Background: Clustering of cardiovascular disease (CVD) risk factors constitutes a major public health challenge. Although a number of researchers have investigated the CVD risk factor clusters in China, little is known about the related prevalence and clustering associated with demographics in Jilin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730461/ https://www.ncbi.nlm.nih.gov/pubmed/26703706 http://dx.doi.org/10.3390/ijerph13010070 |
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author | Yu, Jianxing Ma, Yonghui Yang, Sen Pang, Kai Yu, Yaqin Tao, Yuchun Jin, Lina |
author_facet | Yu, Jianxing Ma, Yonghui Yang, Sen Pang, Kai Yu, Yaqin Tao, Yuchun Jin, Lina |
author_sort | Yu, Jianxing |
collection | PubMed |
description | Background: Clustering of cardiovascular disease (CVD) risk factors constitutes a major public health challenge. Although a number of researchers have investigated the CVD risk factor clusters in China, little is known about the related prevalence and clustering associated with demographics in Jilin Province in China; this study aims to reveal that relationship. Methods: A cross-sectional survey based on a sample of 16,834 adults aged 18 to 79 years was conducted in Jilin in 2012. The prevalence and clustering of CVD risk factors were analysed through complex weighted computation. Quantitative variables were compared by the t test, and categorical variables were compared by the Rao-Scott-χ(2) test. Finally, multivariable logistic regression analysis was used to evaluate the CVD risk factor clusters associated with demographics. Results: The prevalences of hypertension, diabetes, dyslipidemia, overweight and smoking were 37.3%, 8.2%, 36.8%, 47.3%, and 31.0%, respectively, and these risk factors were associated with gender, education level, age, occupation and family income (p < 0.05). Overall, compared with females, the adjusted ORs of ≥1, ≥2 and ≥3 risk factors clusters in males were 3.70 (95%CI 3.26 to 4.20), 4.66 (95%CI 4.09 to 5.31), and 5.76 (95%CI 5.01 to 6.63), respectively. In particular, the adjusted ORs of ≥1, ≥2 and ≥3 risk factors increased with age. Conclusions: CVD risk factor clusters are common among adults in northeast China, and they constitute a major public health challenge. More effective attention and interventions should be directed toward the elderly and toward persons with lower incomes and low levels of education. |
format | Online Article Text |
id | pubmed-4730461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-47304612016-02-11 Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China) Yu, Jianxing Ma, Yonghui Yang, Sen Pang, Kai Yu, Yaqin Tao, Yuchun Jin, Lina Int J Environ Res Public Health Article Background: Clustering of cardiovascular disease (CVD) risk factors constitutes a major public health challenge. Although a number of researchers have investigated the CVD risk factor clusters in China, little is known about the related prevalence and clustering associated with demographics in Jilin Province in China; this study aims to reveal that relationship. Methods: A cross-sectional survey based on a sample of 16,834 adults aged 18 to 79 years was conducted in Jilin in 2012. The prevalence and clustering of CVD risk factors were analysed through complex weighted computation. Quantitative variables were compared by the t test, and categorical variables were compared by the Rao-Scott-χ(2) test. Finally, multivariable logistic regression analysis was used to evaluate the CVD risk factor clusters associated with demographics. Results: The prevalences of hypertension, diabetes, dyslipidemia, overweight and smoking were 37.3%, 8.2%, 36.8%, 47.3%, and 31.0%, respectively, and these risk factors were associated with gender, education level, age, occupation and family income (p < 0.05). Overall, compared with females, the adjusted ORs of ≥1, ≥2 and ≥3 risk factors clusters in males were 3.70 (95%CI 3.26 to 4.20), 4.66 (95%CI 4.09 to 5.31), and 5.76 (95%CI 5.01 to 6.63), respectively. In particular, the adjusted ORs of ≥1, ≥2 and ≥3 risk factors increased with age. Conclusions: CVD risk factor clusters are common among adults in northeast China, and they constitute a major public health challenge. More effective attention and interventions should be directed toward the elderly and toward persons with lower incomes and low levels of education. MDPI 2015-12-23 2016-01 /pmc/articles/PMC4730461/ /pubmed/26703706 http://dx.doi.org/10.3390/ijerph13010070 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yu, Jianxing Ma, Yonghui Yang, Sen Pang, Kai Yu, Yaqin Tao, Yuchun Jin, Lina Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China) |
title | Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China) |
title_full | Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China) |
title_fullStr | Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China) |
title_full_unstemmed | Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China) |
title_short | Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China) |
title_sort | risk factors for cardiovascular disease and their clustering among adults in jilin (china) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730461/ https://www.ncbi.nlm.nih.gov/pubmed/26703706 http://dx.doi.org/10.3390/ijerph13010070 |
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