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High prevalence of dyslipidemia and associated risk factors among rural Chinese adults

BACKGROUND: Dyslipidemia is a key independent modifiable risk factor for Cardiovascular Disease, which is a leading contributor to morbidity and mortality in most developed and developing countries. This study was designed to investigate the current epidemiological features of dyslipidemia among adu...

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Autores principales: Sun, Guo-Zhe, Li, Zhao, Guo, Liang, Zhou, Ying, Yang, Hong-Mei, Sun, Ying-Xian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4292831/
https://www.ncbi.nlm.nih.gov/pubmed/25496459
http://dx.doi.org/10.1186/1476-511X-13-189
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author Sun, Guo-Zhe
Li, Zhao
Guo, Liang
Zhou, Ying
Yang, Hong-Mei
Sun, Ying-Xian
author_facet Sun, Guo-Zhe
Li, Zhao
Guo, Liang
Zhou, Ying
Yang, Hong-Mei
Sun, Ying-Xian
author_sort Sun, Guo-Zhe
collection PubMed
description BACKGROUND: Dyslipidemia is a key independent modifiable risk factor for Cardiovascular Disease, which is a leading contributor to morbidity and mortality in most developed and developing countries. This study was designed to investigate the current epidemiological features of dyslipidemia among adults in rural China. METHODS: Between January 2013 and August 2013, we conducted a cross-sectional study involving 11,956 subjects with age ≥35 years in a general Chinese population. Permanent residents of the population were invited to participate in the study and the response rate was at 85.3%. Dyslipidemia was identified based on serum lipids levels following the standards proposed by the National Cholesterol Education Program Adult Treatment Panel III. Multivariate logistic regression analysis was used to evaluate the associated risk factors for dyslipidemia. RESULTS: Within the study population, 16.4% had high TC, 13.8% had low HDL-C, 7.6% had high LDL-C, and 17.3% had high TG concentrations. Prevalence of lipid abnormality (including borderline dyslipidemia and dyslipidemia) was 47.8%, 13.8%, 25.7% and 30.7% for TC, HDL-C, LDL-C and TG, respectively. Detailed analysis indicated that 36.9% of this population had at least one type of dyslipidemia and 64.4% had at least one type of abnormal lipid concentration. Thus, this study observed an alarmingly higher prevalence of lipid abnormality, in a relatively large population, compared to previous studies. Further, we determined that not all of the risk factors studied, including age, gender, hypertension, diabetes mellitus, obesity, smoking, drinking, education level, marital status, and family income, influenced dyslipidemia to the same extent. CONCLUSIONS: Our present study, in a population of 11,956 adults in Liaoning Providence, demonstrated a very high prevalence of dyslipidemia, which represented an alarming rise since the publication of our previous study and other similar studies around the world, which report lower levels. We also examined various risk factors for dyslipidemia, many of which are modifiable risk factors for Cardiovascular Disease (CVD), to provide a comprehensive view that will help in designing strategies to slow the rapid spread and promote effective measures to treat dyslipidemia. Our ultimate goal is to prevent the increasing prevalence of lipid abnormality and reduce the burden of CVD in rural China.
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spelling pubmed-42928312015-01-14 High prevalence of dyslipidemia and associated risk factors among rural Chinese adults Sun, Guo-Zhe Li, Zhao Guo, Liang Zhou, Ying Yang, Hong-Mei Sun, Ying-Xian Lipids Health Dis Research BACKGROUND: Dyslipidemia is a key independent modifiable risk factor for Cardiovascular Disease, which is a leading contributor to morbidity and mortality in most developed and developing countries. This study was designed to investigate the current epidemiological features of dyslipidemia among adults in rural China. METHODS: Between January 2013 and August 2013, we conducted a cross-sectional study involving 11,956 subjects with age ≥35 years in a general Chinese population. Permanent residents of the population were invited to participate in the study and the response rate was at 85.3%. Dyslipidemia was identified based on serum lipids levels following the standards proposed by the National Cholesterol Education Program Adult Treatment Panel III. Multivariate logistic regression analysis was used to evaluate the associated risk factors for dyslipidemia. RESULTS: Within the study population, 16.4% had high TC, 13.8% had low HDL-C, 7.6% had high LDL-C, and 17.3% had high TG concentrations. Prevalence of lipid abnormality (including borderline dyslipidemia and dyslipidemia) was 47.8%, 13.8%, 25.7% and 30.7% for TC, HDL-C, LDL-C and TG, respectively. Detailed analysis indicated that 36.9% of this population had at least one type of dyslipidemia and 64.4% had at least one type of abnormal lipid concentration. Thus, this study observed an alarmingly higher prevalence of lipid abnormality, in a relatively large population, compared to previous studies. Further, we determined that not all of the risk factors studied, including age, gender, hypertension, diabetes mellitus, obesity, smoking, drinking, education level, marital status, and family income, influenced dyslipidemia to the same extent. CONCLUSIONS: Our present study, in a population of 11,956 adults in Liaoning Providence, demonstrated a very high prevalence of dyslipidemia, which represented an alarming rise since the publication of our previous study and other similar studies around the world, which report lower levels. We also examined various risk factors for dyslipidemia, many of which are modifiable risk factors for Cardiovascular Disease (CVD), to provide a comprehensive view that will help in designing strategies to slow the rapid spread and promote effective measures to treat dyslipidemia. Our ultimate goal is to prevent the increasing prevalence of lipid abnormality and reduce the burden of CVD in rural China. BioMed Central 2014-12-12 /pmc/articles/PMC4292831/ /pubmed/25496459 http://dx.doi.org/10.1186/1476-511X-13-189 Text en © Sun et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Sun, Guo-Zhe
Li, Zhao
Guo, Liang
Zhou, Ying
Yang, Hong-Mei
Sun, Ying-Xian
High prevalence of dyslipidemia and associated risk factors among rural Chinese adults
title High prevalence of dyslipidemia and associated risk factors among rural Chinese adults
title_full High prevalence of dyslipidemia and associated risk factors among rural Chinese adults
title_fullStr High prevalence of dyslipidemia and associated risk factors among rural Chinese adults
title_full_unstemmed High prevalence of dyslipidemia and associated risk factors among rural Chinese adults
title_short High prevalence of dyslipidemia and associated risk factors among rural Chinese adults
title_sort high prevalence of dyslipidemia and associated risk factors among rural chinese adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4292831/
https://www.ncbi.nlm.nih.gov/pubmed/25496459
http://dx.doi.org/10.1186/1476-511X-13-189
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