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Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study

BACKGROUND: The prevalence of dyslipidemia continue to increase in recent decades in China, however, little is known about the recent prevalence, awareness, treatment, control, and potential risk factors of dyslipidemia in the rural areas of China. METHODS: A total of 39,207 participants aged 18–79 ...

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Autores principales: Liu, Xiaotian, Yu, Songcheng, Mao, Zhenxing, Li, Yuqian, Zhang, Haiqing, Yang, Kaili, Zhang, Honglei, Liu, Ruihua, Qian, Xinling, Li, Linlin, Bie, Ronghai, Wang, Chongjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964901/
https://www.ncbi.nlm.nih.gov/pubmed/29788966
http://dx.doi.org/10.1186/s12944-018-0768-7
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author Liu, Xiaotian
Yu, Songcheng
Mao, Zhenxing
Li, Yuqian
Zhang, Haiqing
Yang, Kaili
Zhang, Honglei
Liu, Ruihua
Qian, Xinling
Li, Linlin
Bie, Ronghai
Wang, Chongjian
author_facet Liu, Xiaotian
Yu, Songcheng
Mao, Zhenxing
Li, Yuqian
Zhang, Haiqing
Yang, Kaili
Zhang, Honglei
Liu, Ruihua
Qian, Xinling
Li, Linlin
Bie, Ronghai
Wang, Chongjian
author_sort Liu, Xiaotian
collection PubMed
description BACKGROUND: The prevalence of dyslipidemia continue to increase in recent decades in China, however, little is known about the recent prevalence, awareness, treatment, control, and potential risk factors of dyslipidemia in the rural areas of China. METHODS: A total of 39,207 participants aged 18–79 years were recruited for the epidemiological research from the Henan Rural Cohort study. The age- and sex-adjusted means (95% confidence intervals, CI) of serum lipid levels or percentages of prevalence, awareness, treatment, and control overall and in various population subgroups were estimated and compared by multiple linear regression or logistic regression. The multivariable logistic regression model was used to explore the associations between the socio-demographic factors and the prevalence, awareness, treatment and control of dyslipidemia. RESULTS: The age- and sex-adjusted mean levels (95%CI) of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were 4.76(4.75–4.77), 1.68(1.67–1.69),1.33(1.32–1.33), and 2.87 (2.86–2.88) mmol/L, respectively. Overall, the age-standardized prevalence of dyslipidemia was 32.21% (42.85% in men vs. 26.16% in women) in Chinese rural adults, with 5.11, 16.00, 19.27, and 4.76% for high TC, high TG, low HDL-C and high LDL-C, respectively. The age-standardized awareness, treatment and control of dyslipidemia were 15.07, 7.23, and 3.25%, respectively, which were higher in women than men, and increased steeply with age (P(trend) < 0.05). The proportion of prevalence, awareness, treatment, control of dyslipidemia differed significantly among various subpopulations while the awareness, treatment, and control rates were universally low in all subgroups (< 54, 36, and 15%, respectively). Increasing age, men, unhealthy lifestyles, positive family history of dyslipidemia, abnormal weight, type 2 diabetes mellitus and hypertension were independent risk factors of dyslipidemia. CONCLUSION: Dyslipidemia was common with unacceptably low awareness, treatment and control rates in rural China. Therefore, effective strategies are necessary for improving the status of the prevention, diagnosis, treatment, control of dyslipidemia in Chinese rural residents. TRIAL REGISTRATION: ChiCTR-OOC-15006699
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spelling pubmed-59649012018-05-24 Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study Liu, Xiaotian Yu, Songcheng Mao, Zhenxing Li, Yuqian Zhang, Haiqing Yang, Kaili Zhang, Honglei Liu, Ruihua Qian, Xinling Li, Linlin Bie, Ronghai Wang, Chongjian Lipids Health Dis Research BACKGROUND: The prevalence of dyslipidemia continue to increase in recent decades in China, however, little is known about the recent prevalence, awareness, treatment, control, and potential risk factors of dyslipidemia in the rural areas of China. METHODS: A total of 39,207 participants aged 18–79 years were recruited for the epidemiological research from the Henan Rural Cohort study. The age- and sex-adjusted means (95% confidence intervals, CI) of serum lipid levels or percentages of prevalence, awareness, treatment, and control overall and in various population subgroups were estimated and compared by multiple linear regression or logistic regression. The multivariable logistic regression model was used to explore the associations between the socio-demographic factors and the prevalence, awareness, treatment and control of dyslipidemia. RESULTS: The age- and sex-adjusted mean levels (95%CI) of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were 4.76(4.75–4.77), 1.68(1.67–1.69),1.33(1.32–1.33), and 2.87 (2.86–2.88) mmol/L, respectively. Overall, the age-standardized prevalence of dyslipidemia was 32.21% (42.85% in men vs. 26.16% in women) in Chinese rural adults, with 5.11, 16.00, 19.27, and 4.76% for high TC, high TG, low HDL-C and high LDL-C, respectively. The age-standardized awareness, treatment and control of dyslipidemia were 15.07, 7.23, and 3.25%, respectively, which were higher in women than men, and increased steeply with age (P(trend) < 0.05). The proportion of prevalence, awareness, treatment, control of dyslipidemia differed significantly among various subpopulations while the awareness, treatment, and control rates were universally low in all subgroups (< 54, 36, and 15%, respectively). Increasing age, men, unhealthy lifestyles, positive family history of dyslipidemia, abnormal weight, type 2 diabetes mellitus and hypertension were independent risk factors of dyslipidemia. CONCLUSION: Dyslipidemia was common with unacceptably low awareness, treatment and control rates in rural China. Therefore, effective strategies are necessary for improving the status of the prevention, diagnosis, treatment, control of dyslipidemia in Chinese rural residents. TRIAL REGISTRATION: ChiCTR-OOC-15006699 BioMed Central 2018-05-22 /pmc/articles/PMC5964901/ /pubmed/29788966 http://dx.doi.org/10.1186/s12944-018-0768-7 Text en © The Author(s). 2018 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
Liu, Xiaotian
Yu, Songcheng
Mao, Zhenxing
Li, Yuqian
Zhang, Haiqing
Yang, Kaili
Zhang, Honglei
Liu, Ruihua
Qian, Xinling
Li, Linlin
Bie, Ronghai
Wang, Chongjian
Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study
title Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study
title_full Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study
title_fullStr Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study
title_full_unstemmed Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study
title_short Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study
title_sort dyslipidemia prevalence, awareness, treatment, control, and risk factors in chinese rural population: the henan rural cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964901/
https://www.ncbi.nlm.nih.gov/pubmed/29788966
http://dx.doi.org/10.1186/s12944-018-0768-7
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