Serum lipids and associated factors of dyslipidemia in the adult population in Shenzhen

Lipids Health Dis. 2015 Jul 14:14:71. doi: 10.1186/s12944-015-0073-7.

Abstract

Background: Dyslipidemia is one of the most important independent modifiable risk factors for cardiovascular diseases. The objective of this study was to determine the prevalence and risk factors for dyslipidemia in Shenzhen, a special economic zone and large metropolitan area neighboring Hong Kong.

Methods: A cross-sectional survey of 1,995 adults with a mean age of 46.56 years was conducted between February and July 2011 using a multistage stratified cluster random sampling. All the subjects were administered questionnaires regarding socio-demographic characteristics and other possible factors associated with the prevalence of dyslipidemia. Fasting venous blood samples were collected to assess the lipid profile. Weight, height, waist circumference, and blood pressure were measured.

Results: The mean concentrations of total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDL-C), and low density lipoprotein cholesterol (LDL-C) were 5.11 ± 1.15 mmol/L, 1.59 ± 1.47 mmol/L, 1.42 ± 0.33 mmol/L, and 3.22 ± 0.84 mmol/L, respectively. High values of TC, TG, low HDL-C, and high LDL-C were obtained in 14.49%, 16.14%, 8.82%, and 12.13 % of the 1,995 participants, respectively. The prevalence of dyslipidemia was 34.64%, among which 25.04% of subjects were aware. Presence of dyslipidemia was significantly associated with increasing age, smoking status, hypertension, diabetes, and body mass index.

Conclusions: High prevalence of dyslipidemia with relative low awareness in Shenzhen was found. A comprehensive strategy is required for the prevention, screening, treatment, and control of dyslipidemia in Shenzhen.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • China
  • Confidence Intervals
  • Demography
  • Dyslipidemias / blood*
  • Female
  • Hong Kong
  • Humans
  • Life Style
  • Lipids / blood*
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prevalence
  • Risk Factors
  • Young Adult

Substances

  • Lipids