Comparison of postprandial insulin and fasting insulin on the evaluation of cardiovascular risk factors
Fang, F.-s.; Tian, H.; Li, C.-l.; Yan, S.-t.; Miao, X.-y.; Cheng, X.-l.
Zhonghua Yi Xue Za Zhi 91(14): 946-949
2011
ISSN/ISBN: 0376-2491 PMID: 21609543 Document Number: 652417
To study the feasibility of using postprandial insulin (2hINS) and fasting insulin (FINS) on evaluation of insulin resistance, comparison was conducted between 2hINS and FINS on evaluation of cardiovascular risk factors. A survey were conducted among individuals in the community in May 2008 and data of routine clinical examination were collected. All subjects were investigated and received 75 g oral glucose tolerance test (OGTT), and fasting and OGTT2 h blood glucose as well as insulin concentrations were determined. Hyperinsulinemia was defined as a FINS or 2hINS concentration at or above the 95th percentile of the distribution among normal glucose tolerance individuals. 1148 individuals were investigated and insulin concentration in male was similar to female. Prevalence of 2hHINS (40.8%) in individuals with abnormal glucose metabolism was higher than FHINS (18.4%, P < 0.01). The number of metabolic risk factors in subjects with 2hHINS was similar to subjects with FHINS. After adjustment by sex, age, BMI and waist circumference, partial correlation analysis showed that the correlation between 2hINS and 2hPG (r = 0.370) was higher than that of FINS and FPG (r = 0.104); FINS was higher correlated with TG and HDL- cholesterol than 2hINS, however, 2hINS was higher correlated with diastolic blood pressure, total cholesterol and LDL-cholesterol than FINS. Logistic regression analysis showed that FHINS and 2hHINS were both the independent risk factor of metabolic syndrome, the OR (95%CI) were 5.11 (2.953 - 8.842) and 3.46 (2.109 - 5.687). 2hINS and FINS were both closely associated with cardiovascular risk factors. The correlation was inconsistent when 2hINS and FINS were related to different risk factors. The combination of 2hINS and FINS might be more helpful on evaluation of insulin resistance.