Objective This study aimed to identify high?risk groups for metabolic syndrome(MS)among Chinese children and adolescents by calculating the cutoff values of adiposity measures and insulin resistance(IR). Methods From December 2010 to January 2011,data from 933 Chinese subjects(492 boys and 436 girls,aged 11?16 years)from Liaoyang City,China,were included. Questionnaires were administered,and da?ta such as anthropometric parameters(height,waist circumference,and hip circumference),blood pressure,fasting blood glucose level,blood lip?id level,serum uric acid level,and fasting insulin level were collected. Receiver?operating characteristic(ROC)curve analysis was used to deter?mine the optimal cutoff waist?to?height ratio(WHtR),waist?to?hip ratio(WHR),homeostasis model assessment?insulin resistance(HOMA?IR) index,triglyceride level,glucose index(TyG index),and serum uric acid(SUA)level for identification of children and adolescents with MS. Results The AUC of WHtR,WHR,TyG index,HOMA?IR index,and SUA level were larger than 0.5,with P values of<0.01. The optimal cutoff WHtR and WHR derived from the ROC analysis were respectively 0.48(87.0%,84.1%)and 0.84(83.3%,70.3%)for boys and 0.46(95.1%, 81.8%)and 0.80(90.5%,71.8%)for girls. Conclusion This study demonstrated that WHtR and WHR are useful predictive markers of MS , while HOMA?IR,TyG index,and SUA level are not. The usefulness of these criteria needs to be verified by further evaluation.