title: [The components of metabolic syndrome that influencing the prevalence of cardiovascular disease in a follow-up study].
abstract: OBJECTIVE
  To investigate metabolic syndrome components that influencing the prevalence of cardiovascular disease (CVD).
  
  
  METHODS
  Five hundred persons were selected from a unit in Nanning city, Guangxi, based on the cross-sectional study on a distribution of population with metabolic syndrome in 2004 and followed them up for 3.5 more years. Physical examination would include detection on blood pressure, glucose, serum cholesterol and body index etc. When someone suffered from cardiovascular disease would be viewed as an 'end-point event'. Criteria of diagnosis were under the basis of CVD from the WHO-MONICA.
  
  
  RESULTS
  (1) The mean value of physical and biochemical index as BMI, waist circumstance, systolic pressure, diastolic pressure. Fast serum glucose, triglyceride in the population with more MS components were higher than the ones with less components. (2) The prevalence rates of CVD in the four groups were 2.97%, 4.19%, 7.97%, 11.88% respectively with significant differences between the groups (P = 0.0008). (3) Data from the logistic analysis manifested that when compared to the 0 group, the risk rate of CVD for groups having 1, 2, 3 components were 1.41, 2.68, 4.00 respectively. After adjusted age and sex, time of occurrences, results from the Cox model showed that the risk rate of CVD for groups with 1, 2, 3 components were 1.29, 2.47, 3.67 (RR 95%CI: 1.02 - 13.14) respectively. (4) Kaplan-Meier analysis showed that the cum hazard of CVD in the 3rd group was higher than in the 0, 1 group, and at the end of follow-up, the cum hazard of CVD was 12.7% in the 3rd group among population with metabolic syndrome.
  
  
  CONCLUSIONS
  When increasing the number of components of metabolic syndrome, the higher risk ratio for population to suffer from CVD was seen. With the natural process of disease, the more components of metabolic syndrome in population, the higher cum hazard would influence the occurrence of CVD in the future.
authors.affiliation: Geriatric Institute of the Ministry of Public Health Beijing Hospital, Beijing 100730, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Wan
authors.forename: Bin-you
authors.initials: BY
authors.lastname: Wang
authors.forename: Jie
authors.initials: J
authors.lastname: Feng
authors.forename: Ze-ping
authors.initials: ZP
authors.lastname: Lv
authors.forename: Hui
authors.initials: H
authors.lastname: Huang
authors.forename: Cai-you
authors.initials: CY
authors.lastname: Hu
authors.forename: Ze
authors.initials: Z
authors.lastname: Yang
mesh_terms: D001794:Blood Pressure; D002318:Cardiovascular Diseases / Q000209:etiology*; D002561:Cerebrovascular Disorders / Q000209:etiology*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000378:metabolism / Q000503:physiopathology*; D008875:Middle Aged; D011446:Prospective Studies; D012307:Risk Factors