Literature DB >> 27655600

[Prevalence and risk factors of dyslipidemia in a rural population of Henan Province, China].

J M Zhou1, X P Luo, S Wang, L Yin, C Pang, G A Wang, Y X Shen, D T Wu, L Zhang, Y C Ren, B Y Wang, X Y Yang, H Y Zhang, C Y Han, Y Zhao, L L Li, C J Wang, T P Feng, J Z Zhao, D S Hu, M Zhang.   

Abstract

Objective: The purpose of this study was to investigate the prevalence and risk factors of dyslipidemia in a rural population of Henan Province, China.
Methods: A total of 20 194 participants aged ≥18 years were selected randomly by cluster sampling from two townships(towns)in Henan Province from July to August 2007 and July to August 2008. Investigations included questionnaires, anthropometric measurements, fasting plasma glucose, and lipid profile examination at baseline. A total of 16 155 participants were followed up from July to August 2013 and July to October 2014. Overall, 13 869 participants were included in the study, after excluding 2 286 participants with incomplete dyslipidemia follow-up data. Distributions of the characteristics of dyslipidemia were determined, and prevalence was standardized by age according to data of the 2010 Sixth National Population Census. Risk factors for dyslipidemia were analyzed using a logistic regression model after adjusting for sex, age, education level, marital status, and income status.
Results: The prevalence of dyslipidemia was 53.72%(7 450/13 869)for residents aged ≥22 years living in rural areas of Henan Province(59.32%(3 069/5 174)for men and 50.39%(4 381/8 695)for women). The adjusted prevalence of dyslipidemia was 50.50%(59.27% for men and 45.53% for women). The prevalence of hypercholesterolemia, hypertriglyceridemia, low HDL-C, and high LDL-C was 4.34%(602/13 868), 20.42%(2 826/13 837), 42.75%(5 927/13 865), and 3.14%(420/13 375), respectively, and the adjusted prevalence was 2.44%, 18.84%, 41.42%, and 1.86%, respectively. Logistic regression analyses showed that alcohol consumption(OR=1.27, 95% CI: 1.05-1.53), family history of hyperlipidemia(OR=1.29, 95% CI: 1.17-1.43), overweight(OR=1.40, 95% CI: 1.22-1.61), obesity(OR= 1.65, 95% CI: 1.39- 1.96), abnormal waist circumference(OR=1.22, 95% CI: 1.04- 1.43), and abnormal waist-height ratio(OR=1.21, 95% CI: 1.01-1.45)were significant independent risk factors, and high levels of physical activity(OR=0.85, 95% CI: 0.77- 0.95)and underweight(OR=0.52, 95% CI: 0.36- 0.75)were protective factors for dyslipidemia after adjusting for sex, age, education level, marital status, and income status.
Conclusion: The prevalence of dyslipidemia was very high for this rural population. Alcohol consumption, family history of hyperlipidemia, overweight, obesity, abnormal waist circumference, and abnormal waist-height ratio were significant independent risk factors for dyslipidemia.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27655600     DOI: 10.3760/cma.j.issn.0253-9624.2016.09.010

Source DB:  PubMed          Journal:  Zhonghua Yu Fang Yi Xue Za Zhi        ISSN: 0253-9624


  3 in total

1.  The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients.

Authors:  Bokai Cheng; Nan Lu; Ge Song; Jiaojiao Qiu; Jing Dong; Shuang Cai; Yongkang Su; Jin Sun; Anhang Zhang; Qiligeer Bao; Man Li; Shouyuan Ma; Yan Zhang; Ping Zhu; Shuxia Wang
Journal:  Int J Hypertens       Date:  2022-05-17       Impact factor: 2.434

Review 2.  Prevalence of plasma lipid disorders with an emphasis on LDL cholesterol in selected countries in the Asia-Pacific region.

Authors:  Zhen-Vin Lee; Elmer Jasper Llanes; Renan Sukmawan; Nuntakorn Thongtang; Huynh Quang Tri Ho; Philip Barter
Journal:  Lipids Health Dis       Date:  2021-04-15       Impact factor: 3.876

3.  Functional Capacity, Lipid Profile, and Associated Factors in Older Adults Living in Urban and Rural Areas.

Authors:  Francieli Cristina Comelli Medeiros; Clodoaldo Antônio De Sá; Eduardo Ottobeli Chielle; Fátima Ferretti; Rosana Amora Ascari; Gabriela Peretro; Vanessa da Silva Corralo
Journal:  J Aging Res       Date:  2022-10-10
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.