Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Jianxing, Ma, Yonghui, Yang, Sen, Pang, Kai, Yu, Yaqin, Tao, Yuchun, Jin, Lina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
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
_version_ 1782412405543796736
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
work_keys_str_mv AT yujianxing riskfactorsforcardiovasculardiseaseandtheirclusteringamongadultsinjilinchina
AT mayonghui riskfactorsforcardiovasculardiseaseandtheirclusteringamongadultsinjilinchina
AT yangsen riskfactorsforcardiovasculardiseaseandtheirclusteringamongadultsinjilinchina
AT pangkai riskfactorsforcardiovasculardiseaseandtheirclusteringamongadultsinjilinchina
AT yuyaqin riskfactorsforcardiovasculardiseaseandtheirclusteringamongadultsinjilinchina
AT taoyuchun riskfactorsforcardiovasculardiseaseandtheirclusteringamongadultsinjilinchina
AT jinlina riskfactorsforcardiovasculardiseaseandtheirclusteringamongadultsinjilinchina