[A comparison of applicative effect with different diagnostic criteria of metabolic syndrome among the urban adult population].

OBJECTIVE

To compare the applicative effect of four diagnostic criteria of metabolic syndrome (MS) among the urban adult population of Zhejiang Province.

METHODS

According to multi-stage stratified and proportional to size, cluster, random sampling principle, 3 417 adults population at urban areas were extracted by random number method from 320 families of Shangcheng and Jianggan community in Hangzhou,Jiangdong community in Ningbo and Wucheng community in Jinhua in 2009 and 2010 respectively, which excluded pregnant, wet nurse, children, and those who were at least 18 years of age. Height, weight, waist, blood pressure, fasting plasma glucose (FBG) , 2-hour postprandial blood glucose (2h-PBG), TG and HDL-C of all the subjects were measured by standard method. MS was diagnosed and compared according to four diagnostic criteria:Chinese Medical Association Diabetic Society (CDS), Joint Committee for Developing Chinese Guidelines (JCDCG), American National Cholesterol Education Program Adult Treatment PaneI II in 2005 (ATPIII) and International Diabetes Federation (IDF), respectively.

RESULTS

The high prevalence of MS diagnosed by the criteria of ATPIII was 21.6% (737/3 417) , while the lowest prevalence diagnosed by CDS was 9.8% (335/3 417), the result of consistency check demonstrated the MS diagnostic criteria of ATPIII and IDF, ATPIII and JCDCG were in strong and the same accordance with the concordance rate, Kappa value was 0.75, while the consistency of the criteria of ATP III and CDS were in relatively weak agreement, Kappa value was 0.53; the detection result of MS abnormal components showed the highest proportion of having ≥ 3 risk factors was presented by ATPIII among subjects diagnosed as MS (100.0%) , meanwhile, the lowest proportion of having ≥ 3 risk factors was also found by ATPIII among those MS-free (0.8%) .

CONCLUSIONS

The criteria of ATPIII may have more sensitivity when screening MS and its abnormal components.However, it's limited to extrapolate the results from the cross-sectional survey to the total population.