Correlation Of Body Fat Percentage And Visceral Adiposity Lindex With Other Coronary Risk Factors And Their Clustering In Rural Population Of Jilin Province

Objective:To investigate the correlation of body fat percentage and visceral adiposity index with other coronary risk factors and their clustering in rural population of Jilin province. Methods:We selected 2562 people over 35 years old by radom sampling that came from Dong Feng and Jing Yu county in Jilin Province. We investigated the demographic characteristics, family history, blood lipids, blood glucose and blood pressure through questionnaires, laboratory tests, physical examination and instrument examination. Then we measured the body fat percentage, visceral adiposity index with body fat meter. All database were established in Epidata3.1 and analysised with SPSS17.0 software package. Measurement data were registered as mean ± standard deviation with non-parametric test, count data were registered as composition ratio and rate with chi-square test. The effects of body fat percentage and visceral fat index on other cardiovascular disease risk factors and ther clustering were analysised by Logistic multi-regression and the area under the Receiver Operating Characteristic curve. Results: 1. Basic information of the reaserch object There were 1165 males accounting for 45.47% and 1397 females accounting for 54.52%, and there average age respectively was 55.72 ± 10.44, 53.77±9.81. The prevalence rate of hypertension, dyslipidemia and diabetes respectively was 38.2%, 28.96% and 7.50%. The average visceral adiposity index of mals was higher than that in femals, but the body fat percentage was the opposite,the differences were statistically significant(p<0.001). The smoking, drinking, dyslipidemia, education level and hard physical labor were statistically significant higher in mals than those in femals(p<0.001). The obesity rate was statistically significant higher in femals than that in mals(p<0.05). 2.The body fat percentage were divided into three groups by using tertiles. There were statistically significant difference among them(P<0.05), and with the increase of body fat rate, hypertension, dyslipidemia and coronary risk factors clustering increased. The visceral adiposity index were divided into three groups by using tertiles. There were statistically significant difference among them(P<0.05), and with the increase of body fat rate, hypertension, dyslipidemia, diabetes and coronary risk factors Clustering increased. 3 Logistic regression analysis of body fat rate and visceral adiposity index’s OR and confidence interval(CI) on other cardiovascular risk factors and their aggregation. 3.1 PBF(OR = 1.043, 95%CI:1.014-1.072) and VAI(OR=1.102, 95%CI:1.068-1.137) were independent risk factors for Hypertension. 3.2 PBF(OR=1.051,95%CI:1.001-1.103) and VAI(OR=1.063,95%CI:1.015-1.115)were independent risk factors for Diabetes 3.3 PBF(OR=1.075,95%CI:1.044-1.107) and VAI(OR=1.077,95%CI:1.044-1.111)were independent risk factors for Dyslipidemia. 3.4 PBF(OR=1.080,95%CI:1.043-1.119)?VAI(OR=1.106,95%CI:1.067-1.145)were independent risk factors for risk factors’ clustering. 4.The area under the ROC curve(AUC) and the Cut-off point of VAI、PBF for other cardiovascular risk factors and their clustering. 4.1 The AUC and Cut-off of VAI for other cardiovascular risk factors and their clusteringVAI shows good predictive value for cardiovascular risk factors’ clustering(AUC = 0.741). and it shows higher cut-off point for dyslipidemia(the Cut- off = 10.5),and lower cut-off point for h igh blood pressure. 5.2 The AUC and Cut-off of PBF for other cardiovascular risk factors and their clusteringThe results showed that PBF has a good prediction value of the risk factors gathering, FBP has a higher cut-off point for high blood pressure(the Cut- off = 27.95),and a lower cut-off point for cardiovascular risk factors’ clustering(the Cut-off = 25.15). Conclusion:The prevanlences of hypertension, dyslipidemia and risk factors’ clustering showed a rising trend witn increasing body fat perentage and visceral adiposity index. The prevalence of diabetes increased with the increase of visceral fat index.Body fat percentage and visceral adiposity index were independent risk factors for hypertension, dyslipidemia, diabetes, and other risk factors aggregation.Body fat percentage and visceral adiposity index had a certain predictive value to hypertension, diabetes, dyslipidemia and risk factors clustering. In particular, they could better predict the risk factors’ clustering.