A Comparison of Three Diagnostic Criterions for Metabolic Syndrome Applied in Population of Xilinhaote City / 中国慢性病预防与控制

ABSTRACT

Objective To compare the differences of three diagnostic criterions for metabolic syndrome (MS) proposed by the International Diabetes Federation (IDF) in 2005, the Third Report of National Cholesterol Education Program-Adult Treatment Panel Ⅲ (NCEP-ATPⅢ) in 2005 and Chinese Diabetes Society(CDS)in 2004 in population of Xilinguole city in inner mongolia. Methods 1 060 employees aged more than 20 yrs in enterprises taken health examination in Xilinguole hospital were investigated by epidemiological survey and the prevalence rates of MS and its components were calculated according to these three definitions respectively, and compared the agreement rates and difference between these definitions. Results The age-adjusted MS prevalence rates were 25.0%, 27.9% and 22.5% according to IDF (2005), ATPⅢ (2005) and CDS (2004) respectively. The agreement rate of diagnosis between IDF and ATPⅢ was the highest, and the Kappa value was 0.929. The kappa values between IDF and CDS,ATPⅢ and CDS were 0.726 and 0.763, respectively. There were 4.3% and 10.8% subjects respectively without MS diagnosed by IDF and CDS criterion presented at least 3 risk factors respectively. For Mongolia nationality people, when the waist circumference was 90cm in male and BMI was 25kg/m2 in female, the sensitivity and specificity were relative better, and the distance of ROC curve was the shortest, but for Han nationality, BMI≥25 kg / m2 in male and waist circumference ≥80 cm was better. Conclusion ATPⅢ definition can screen out the highest prevalence of MS and risk factors aggregation among three definitions, and it's best for screening for the high risk population of cardio-cerebrovascular diseases. The cutoff value of waist circumference (WC) in IDF and ATP Ⅲ seems better for Mongolia nationality men; while the cutoff value in CDS was better for Han nationality men. We should combine waist circumference and body mass index to judge the condition of obesity.