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Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China
Cardiovascular disease (CVD) has become a serious public health problem in recent years in China. Aggregation of CVD risk factors in one individual increases the risk of CVD and the risk increases substantially with each additional risk factor. This study aims to explore the relationship between the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4962226/ https://www.ncbi.nlm.nih.gov/pubmed/27399751 http://dx.doi.org/10.3390/ijerph13070685 |
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author | Zhang, Peng Wang, Rui Gao, Chunshi Song, Yuanyuan Lv, Xin Jiang, Lingling Yu, Yaqin Wang, Yuhan Li, Bo |
author_facet | Zhang, Peng Wang, Rui Gao, Chunshi Song, Yuanyuan Lv, Xin Jiang, Lingling Yu, Yaqin Wang, Yuhan Li, Bo |
author_sort | Zhang, Peng |
collection | PubMed |
description | Cardiovascular disease (CVD) has become a serious public health problem in recent years in China. Aggregation of CVD risk factors in one individual increases the risk of CVD and the risk increases substantially with each additional risk factor. This study aims to explore the relationship between the number of clustered CVD risk factors and different types of obesity. A multistage stratified random cluster sampling design was used in this population-based cross-sectional study in 2012. Information was collected by face to face interviews. One-way analysis of variance (ANOVA), chi-square test, Kruskal-Wallis test and multiple logistic regression were used in this study. The prevalence of general obesity, central obesity and compound obesity were 0.3%, 36.1% and 14.7%, respectively. The prevalence of hypertension, hyperlipidemia and diabetes in the compound obesity group were higher than those in other groups (compound obesity > central obesity > general obesity > non-obesity), while smoking rate in the non-obesity group was higher than those in other groups (non-obesity > general obesity > central obesity > compound obesity). People with obesity were more likely to have one or more CVD risk factor compared with non-obesity subjects (general obesity (OR: 2.27, 95% CI: 1.13–4.56), central obesity (OR: 2.64, 95% CI: 2.41–2.89), compound obesity (OR: 5.09, 95% CI: 4.38–5.90). The results were similar when the number of clustered CVD risk factors was ≥ 2 and ≥ 3. As a conclusion, more than half of the residents in Jilin Province have a problem of obesity, especially central obesity. Government and health department should take measures to improve people’s awareness of central obesity in Jilin Province of China. The prevalence of hypertension, hyperlipidemia and diabetes are associated with obesity types. Compound obesity has a greater risk to cluster multiple CVD risk factors than central obesity and general obesity. Taking measures to control obesity will reduce the prevalence of CVD in Jilin Province. |
format | Online Article Text |
id | pubmed-4962226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-49622262016-08-01 Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China Zhang, Peng Wang, Rui Gao, Chunshi Song, Yuanyuan Lv, Xin Jiang, Lingling Yu, Yaqin Wang, Yuhan Li, Bo Int J Environ Res Public Health Article Cardiovascular disease (CVD) has become a serious public health problem in recent years in China. Aggregation of CVD risk factors in one individual increases the risk of CVD and the risk increases substantially with each additional risk factor. This study aims to explore the relationship between the number of clustered CVD risk factors and different types of obesity. A multistage stratified random cluster sampling design was used in this population-based cross-sectional study in 2012. Information was collected by face to face interviews. One-way analysis of variance (ANOVA), chi-square test, Kruskal-Wallis test and multiple logistic regression were used in this study. The prevalence of general obesity, central obesity and compound obesity were 0.3%, 36.1% and 14.7%, respectively. The prevalence of hypertension, hyperlipidemia and diabetes in the compound obesity group were higher than those in other groups (compound obesity > central obesity > general obesity > non-obesity), while smoking rate in the non-obesity group was higher than those in other groups (non-obesity > general obesity > central obesity > compound obesity). People with obesity were more likely to have one or more CVD risk factor compared with non-obesity subjects (general obesity (OR: 2.27, 95% CI: 1.13–4.56), central obesity (OR: 2.64, 95% CI: 2.41–2.89), compound obesity (OR: 5.09, 95% CI: 4.38–5.90). The results were similar when the number of clustered CVD risk factors was ≥ 2 and ≥ 3. As a conclusion, more than half of the residents in Jilin Province have a problem of obesity, especially central obesity. Government and health department should take measures to improve people’s awareness of central obesity in Jilin Province of China. The prevalence of hypertension, hyperlipidemia and diabetes are associated with obesity types. Compound obesity has a greater risk to cluster multiple CVD risk factors than central obesity and general obesity. Taking measures to control obesity will reduce the prevalence of CVD in Jilin Province. MDPI 2016-07-07 2016-07 /pmc/articles/PMC4962226/ /pubmed/27399751 http://dx.doi.org/10.3390/ijerph13070685 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Peng Wang, Rui Gao, Chunshi Song, Yuanyuan Lv, Xin Jiang, Lingling Yu, Yaqin Wang, Yuhan Li, Bo Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China |
title | Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China |
title_full | Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China |
title_fullStr | Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China |
title_full_unstemmed | Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China |
title_short | Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China |
title_sort | types of obesity and its association with the clustering of cardiovascular disease risk factors in jilin province of china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4962226/ https://www.ncbi.nlm.nih.gov/pubmed/27399751 http://dx.doi.org/10.3390/ijerph13070685 |
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