Prevalence of metabolic syndrome (MetS) in Chinese subjects gradually increased with impaired glucose homeostasis: a multicenter, clinical based, cross-sectional study

BMC Public Health. 2012 Aug 20:12:675. doi: 10.1186/1471-2458-12-675.

Abstract

Background: Metabolic Syndrome (MetS) is a high risk factor for Cardiovascular Diseases (CVD). We estimated to investigate how MetS prevalence by glucose homeostasis varies across different age and gender groups.

Methods: We studied 9257 Chinese subjects over the age of 15 years in two cross-sectional surveys in 2006. With oral glucose tolerance test (OGTT) test, 2341 subjects were normal glucose tolerance (NGT), and 5448 were diagnosed as having type 2 diabetes (T2D). All other 1468 subjects were considered to be impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) subjects. Diabetes was diagnosis by WHO99 criteria. We used modified NCEP-III criteria for the diagnosis of MetS.

Results: The prevalences of MetS in the male NGT, IFG/IGT and T2D groups were 25.9% (404/1559), 65.6% (769/1172), and 73.5% (2483/3376), respectively. The prevalences of MetS in the female NGT, IFG/IGT and T2D groups were 13.4% (105/782), 51.0% (151/296), and 75.4% (1563/2072), respectively. The prevalence of MetS in the male IFG/IGT group gradually decreased from 73.26% to 41.08% in subjects over the age of 30 years. The prevalence of MetS in the female IFG/IGT group gradually increased from 30% to 75% with aging.

Conclusions: The prevalence of MetS in subjects with different glucose tolerances in China was high and gradually increased with impaired glucose homeostasis both in males and females.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Distribution
  • China / epidemiology
  • Cross-Sectional Studies
  • Diabetes Mellitus, Type 2 / epidemiology
  • Female
  • Glucose Metabolism Disorders / epidemiology*
  • Glucose Tolerance Test
  • Humans
  • Male
  • Metabolic Syndrome / epidemiology*
  • Middle Aged
  • Prevalence
  • Risk Factors
  • Sex Distribution