| Objective To establish an economical and effective screening method for undiagnosed diabetes.Methods Based on an epidemiological survey of diabetes mellitus, two target-population was selected to develop risk factors scoring method to identify people at increased risk for undiagnosed diabetes. Logistic regression analysis on the original data of group A was carried out to screen the main risk factors of diabetes. The score of the variables was determined based on theβ-coefficients, the aggregate score was used to predict the risk of undiagnosed diabetes. Both validity and effectiveness of the method were evaluated in group B.Results Age, BMI, WHR, systolic pressure, diastolic pressure, pulse, family history of diabetes, history of high glucose were selected as categorical variables. The Diabetes Risk Score value varied from 0 to 124.Results showed that the risk of having diabetes in the population increased along with aggregate scores of the method. Trend x~2 test showed statistical significance (P<0. 001). When the threshold value was set up at 51, both sensitivity and specificity for identifying undiagnosed diabetes were 83. 3% and 66.5%, respectively making the positive predictive value 12. 83% and negative predictive value 98. 54%. The AUC was 0. 820.Conclusion The benefits of our screen method are simple, fast, inexpensive, noninvasive, and it is a reliable tool to identify individuals at high risk for type 2 diabetes. It' s helpful to obtain a satisfactory examination rate. The method could be used for health education and to identify people (community) at high risk for potential diabetes . It was predicted that this screening method could serve as an effective and useful tool for mass screening of NIDDM.
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