应用体脂测量代替简易人体参数评估福州成人代谢综合征的危险度

Objective To compare the application of two different definitions of MS (IDF2005 and ATP Ⅲ 2001)in this study population.Accroding to IDF2005.evaluate the impact of body fat content and its distribution for the risk of metabolic syndrome.Methods The sample of 818 subiects maseaure the simple anthropometric parameters including body mass index(BMI),waist circumference,waist-hip ratio (WHR),and so on. Body fat mass and distribution were measured by dual-energy X-ray abosorbtiometry (DEXA).Quatile method is used to analyse the relevance ratio of MS in different value of BF and TF.ROC curve is used in evaluating of tipping point of BF,TF,simple body composition parameters and reliability of diagnosis.The risk of MS were analyzed by logistic regression.Results According to IDF2005,when BF,TF≥P50.the relevance ratio of MS has a remarkable increasing(P＜0.01),its matching BMI is 24 and 23 kg/m2,according to NCEP ATPⅢ2001,when BF、TF≥P75,the relevance ratio of MS has a remarkable increasing,too(P＜0.01),its matching BMI value is 26 kg/m2,BF and TF of MS patients which diagnosed by IDF2005 are lower than ATPⅢ2001(P＜0.05).For each additional level of BF,the odds ratios of MS prevalence were 1.952(male) and 2.644(female);for each additional level of TF,the odds ratios of MS prevalence were 3.276(male) and 3.058(female),BMI,WHR were not into the equation.The AUCROC which used to evaluate the exist of MS by BF and TF is larger than 0.9.and has better performance in sensitivity and specificity than BMI and WHR;the best point of contact of MS in BF is 25%(male),35% (female),in TF is 30%(male),38%(female).Conclusion ATPⅢ standards may have been mi8Sed MS patients with normal high fasting blood glucose value and abdominal obesity.The applicaton of IDF2005 standards was proved better in this populatin.Compared with simple anthropometric parameters,the accmulation of body fat,especially trunk fat even more harmful,to is better to identify the risk of MS in Fuzhou adults population.

Use body fat determination instead of simple body composition parameters evaluate the risk of metabolic syndrome in Fuzhou adults