Predictive Power for Type 2 Diabetes Mellitus using Dynamic Change of Metabolic Syndrome, Dynamic Change of Fasting Plasma Glucose, Metabolic Syndrome and Fasting Plasma Glucose.

Iranian Journal of Public Health

Chen Yang¹  Hui Zhou²  Zhengyuan Zhou³  Zhirong Guo³  Xiaoshu Hu³  Chen Dong⁴  Yong Xu⁵ 

[1] 2. The Center for Disease Control and Prevention of Suzhou Industry Park , SuZhou, China.;1. School of Public Health, Medical College of Soochow University , SuZhou, China ;1. School of Public Health, Medical College of Soochow University , SuZhou, China.;3. Center for Disease Control of Xiangcheng District in Suzhou City, Suzhou , Jiangsu, China.;4. Health Bureau of JiangSu Province , NanJing, China.;

关键词: Cohort study;    Dynamic change;    Metabolic syndrome (MS);    Type 2 diabetes (T2DM);   

DOI  :  

来源: DOAJ

【 摘 要 】

The aim was to compare the predictive power for Type 2 Diabetes mellitus (T2DM) using dynamic change (Difference) of metabolic syndrome (MS), Difference of fasting plasma glucose (FPG), baseline MS and FPG in cohort study.Overall, 3461 subjects were recruited from Prevention of Multiple Metabolic disorders and MS in Jiangsu of China Study with 3.8 years follow-up. Cox proportional-hazards regression and receiver operating characteristic were used to evaluate the predictive power for T2DM using Difference MS, Difference of FPG, baseline MS and FPG.Adjusted relative risk (aRR 5.24, 95% CI 4.28-6.42) of Difference of FPG to T2DM was highest than other. Difference of FPG owns the largest AUC (0.89, P

【 授权许可】

Unknown