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Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value

BACKGROUND: The prevalence of cardiovascular disease has been increasing worldwide. As a common pathogenic risk factor, dyslipidemia played a great role in the incidence and progress of these diseases. We investigated to achieve accurate and up-to-date information on the prevalence of dyslipidemia a...

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Autores principales: Gao, Nannan, Yu, Yong, Zhang, Bingchang, Yuan, Zhongshang, Zhang, Haiqing, Song, Yongfeng, Zhao, Meng, Ji, Jiadong, Liu, Lu, Xu, Chao, Zhao, Jiajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020547/
https://www.ncbi.nlm.nih.gov/pubmed/27619340
http://dx.doi.org/10.1186/s12944-016-0328-y
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author Gao, Nannan
Yu, Yong
Zhang, Bingchang
Yuan, Zhongshang
Zhang, Haiqing
Song, Yongfeng
Zhao, Meng
Ji, Jiadong
Liu, Lu
Xu, Chao
Zhao, Jiajun
author_facet Gao, Nannan
Yu, Yong
Zhang, Bingchang
Yuan, Zhongshang
Zhang, Haiqing
Song, Yongfeng
Zhao, Meng
Ji, Jiadong
Liu, Lu
Xu, Chao
Zhao, Jiajun
author_sort Gao, Nannan
collection PubMed
description BACKGROUND: The prevalence of cardiovascular disease has been increasing worldwide. As a common pathogenic risk factor, dyslipidemia played a great role in the incidence and progress of these diseases. We investigated to achieve accurate and up-to-date information on the prevalence of dyslipidemia and its associations with other lipid-related diseases in rural North China. METHODS: Using a complex, multistage, probability sampling design, we conducted a large-scale cross-sectional study of 8528 rural participants aged over 18 years in Shandong Province. Prevalence and characteristics of dyslipidemia were demonstrated. The odds ratios between dyslipidemia types and lipid-related diseases were further analyzed by logistic regression. RESULTS: Among the overall population, 45.8 % suffered from dyslipidemia. The prevalence of lipid abnormality (including high and very high levels) was 18.6, 12.7, 9.8 and 12.7 % for total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) cholesterol and triglycerides (TG), respectively. Among all participants with dyslipidemia, 23.9 % were aware, only 11.5 % were treated, 10.0 % were controlled. For subjects with dyslipidemia, the risk for non-alcoholic fatty liver disease (NAFLD) was highest with a 3.3-fold over that of non-dyslipidmia (OR = 3.30, P < 0.001); followed by hyperuricemia and diabetes mellitus (DM), while with 2-fold increase (OR = 1.99, P < 0.001; OR = 1.92, P < 0.001); with only 1.5-fold risk for atherosclerosis (AS) (OR = 1.47, P < 0.001). The presence of high cholesterol was mainly associated with AS, while abnormal TG was correlated with NAFLD and DM. CONCLUSIONS: Dyslipidemia has become a serious public health issue in rural North China. The rapid increase of high TC and incremental risk of high TG may contribute to the epidemic of AS, NAFLD and DM. It is imperative to develop individualized prevention and treatment guidelines according to dyslipidemia phenotypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12944-016-0328-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-50205472016-09-14 Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value Gao, Nannan Yu, Yong Zhang, Bingchang Yuan, Zhongshang Zhang, Haiqing Song, Yongfeng Zhao, Meng Ji, Jiadong Liu, Lu Xu, Chao Zhao, Jiajun Lipids Health Dis Research BACKGROUND: The prevalence of cardiovascular disease has been increasing worldwide. As a common pathogenic risk factor, dyslipidemia played a great role in the incidence and progress of these diseases. We investigated to achieve accurate and up-to-date information on the prevalence of dyslipidemia and its associations with other lipid-related diseases in rural North China. METHODS: Using a complex, multistage, probability sampling design, we conducted a large-scale cross-sectional study of 8528 rural participants aged over 18 years in Shandong Province. Prevalence and characteristics of dyslipidemia were demonstrated. The odds ratios between dyslipidemia types and lipid-related diseases were further analyzed by logistic regression. RESULTS: Among the overall population, 45.8 % suffered from dyslipidemia. The prevalence of lipid abnormality (including high and very high levels) was 18.6, 12.7, 9.8 and 12.7 % for total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) cholesterol and triglycerides (TG), respectively. Among all participants with dyslipidemia, 23.9 % were aware, only 11.5 % were treated, 10.0 % were controlled. For subjects with dyslipidemia, the risk for non-alcoholic fatty liver disease (NAFLD) was highest with a 3.3-fold over that of non-dyslipidmia (OR = 3.30, P < 0.001); followed by hyperuricemia and diabetes mellitus (DM), while with 2-fold increase (OR = 1.99, P < 0.001; OR = 1.92, P < 0.001); with only 1.5-fold risk for atherosclerosis (AS) (OR = 1.47, P < 0.001). The presence of high cholesterol was mainly associated with AS, while abnormal TG was correlated with NAFLD and DM. CONCLUSIONS: Dyslipidemia has become a serious public health issue in rural North China. The rapid increase of high TC and incremental risk of high TG may contribute to the epidemic of AS, NAFLD and DM. It is imperative to develop individualized prevention and treatment guidelines according to dyslipidemia phenotypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12944-016-0328-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-09-13 /pmc/articles/PMC5020547/ /pubmed/27619340 http://dx.doi.org/10.1186/s12944-016-0328-y Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Gao, Nannan
Yu, Yong
Zhang, Bingchang
Yuan, Zhongshang
Zhang, Haiqing
Song, Yongfeng
Zhao, Meng
Ji, Jiadong
Liu, Lu
Xu, Chao
Zhao, Jiajun
Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value
title Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value
title_full Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value
title_fullStr Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value
title_full_unstemmed Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value
title_short Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value
title_sort dyslipidemia in rural areas of north china: prevalence, characteristics, and predictive value
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020547/
https://www.ncbi.nlm.nih.gov/pubmed/27619340
http://dx.doi.org/10.1186/s12944-016-0328-y
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