Title of article
An Exploratory Analysis of Dynamic Change of Metabolic Syndrome in Relation to the Risk of Developing Cardiovascular Disease in a Chinese Cohort
Author/Authors
Zhou, H The Center for Disease Control and Prevention of Suzhou Industry Park, SuZhou, China , Yu, Lg The Center for Disease Control and Prevention of Suzhou Industry Park, SuZhou, China , Xu, Bh The Center for Disease Control and Prevention of Suzhou Industry Park, SuZhou, China , Guo, Zr Dept. of Epidemiology - School of Public Health - Soochow University, China , Yang, C Dept. of Epidemiology - School of Public Health - Soochow University, China , Hu, Xs Health Bureau of JiangSu Province, NanJing, China , Wu, M CDC of JiangSu Province, NanJing, China , Zhou, Zy CDCS of SuZhou, ChangShu, China
Pages
9
From page
26
To page
34
Abstract
Background: Metabolic syndrome (MS) is the syndrome closely related to cardiovascular disease (CVD) risk
factors. Few prospective studies have compared the impact of dynamic changes of MS on the development of
cardiovascular diseases (CVD).
Methods: Overall, 3461 subjects were recruited from a cohort study on Prevention of Multiple Metabolic disorders
and MS in Jiangsu of China (PMMJS) with a follow up of 3.8 years. The associations between the dynamic
changes (Difference, the value at first follow-up subtract the value at baseline) of MS, component numbers,
components and relative risk (RR) of CVD were analyzed by using Cox regression model.
Results: The total incidence standardized rate of CVD was 2.58%,and the incidence standardized rates of CVD
in MS-/follow-up MS-,baseline MS-/follow-up MS+, baseline MS+/follow-up MS- and baseline MS+/followup
groups were 2.05%,5.01%,1.65% and 4.39% separately. After adjustment confounding factors Difference in
FPG, BP and TG have significantly effects on the incidence of CVD.
Conclusion: Difference of MS component numbers had the prediction ability of CVD, but MS groups based on
baseline and first follow-up MS and/or non-MS had not. In Chinese, the dynamic change of MS component
numbers was a useful predict factor for CVD.
Keywords
Metabolic syndrome , Cardiovascular disease , Dynamic change , Age , China
Journal title
Astroparticle Physics
Serial Year
2012
Record number
2440718
Link To Document