Abstract: ObjectiveTo screen summary anthropometry index of each composition for the elderly in predicting metabolic syndrome in Renqiu. MethodsA cluster random sampling method was used to study Renqiu permanent residents the age 60 to 70 years， including 4 412  cases， using face to face health questionnaire， anthropometric measurements， and laboratory test. Gender grouping according， ROC curve analysis was used to determine the boundary value of neck circumference， body mass index and waistheight ratio. ResultsNeck circumference， body mass index and waistheight ratio had significant potential for predicting metabolic syndrome in the elderly（P<0.01）.In the male，the neck circumference 37.75 cm，body mass index 24.95  kg/m2 and waistheight ratio 0.56 were the optimal cutoff points for screening and predicting the presence of metabolic syndrome. The area under the AUC was 0.779，0.797，0.817. In the female， the neck circumference  34.15  cm，body mass index  24.55  kg/m2  and  waistheight ratio 0.56  were the optimal cutoff points for screening and predicting the presence of metabolic syndrome. The area under ROC curve (AUC) was 0.769，0.766，0.775. Waistheight ratio showed the highest AUC in all the parameters in men and women. ConclusionNeck circumference， body mass index and waistheight ratio play important roles in the prediction of metabolic syndrome， and waistheight ratio seems to be the best parameter in the prediction of metabolic syndrome in the elderly.

Key words: metabolic syndrome X, anthropometry；screening