Objective To create a screening tool for postmenopausal osteoporosis（PMOP） in the community population in Beijing and Shanghai based on TCM theory.Methods The high risk population with postmenopausal osteoporosis was selected in Xuhui District

Shanghai and Dongcheng District

Beijing.A screening questionnaire survey was conducted with the questionnaire on osteoporosis risk factors and TCM syndromes of 40 to 65 years old community women.On the basis of generalized partial linear model（GPLM） analysis results

a PMOP screening tool was created.Receiver operating characteristic curve（ROC） was used to evaluate the discriminative accuracy of PMOP screening tool.The area under ROC curve（AUC） was used to assess the diagnostic value of PMOP screening tool.Results According to the parameters from GPLM

a mathematical formula of the PMOP screening tool was formed.i.e.score=31.3×whether menopause+11.4×duration of menopause-8.5×body mass index+14.4×lower limb cramps+13.8×lower limb pains.AUC value of the PMOP screening tool was 0.789（95%CI: 0.766 to 0.812）

with a statistical significance as compared with AUC=0.5（P<0.05）.The sensitivity of the PMOP screening tool was 55.67%（95%CI: 50.6% to 60.6%）

and specificity was 84.62%（95%CI: 82.0% to 87.0%）

the positive predictive value was 63.0%（95%CI: 57.7% to 68.0%）

the negative predictive value was 80.2%（95%CI: 77.5% to 82.8%）

and Youden index was 0.403.According to the cun-off value-80

out of the high risk population（score≥-80）

the osteoporosis group accounted for 63.0% and the normal bone mass group accounted for 37.0%.Whereas

for the low-risk population（score<-80）

80.2% were normal bone mass

and only 19.8% were osteoporosis.Conclusion The addition of TCM syndrome into PMOP screening tool is more sensitive

specific and accurate for screening high risk PMOP population.