Abstract: Objective To construct multivariate linear equations based on anthropometric data of height, weight, foot length and sex to predict acetabular cup size during total hip arthroplasty. Methods A total of 182 patients who underwent total hip arthroplasty in our hospital were enrolled, and the height, weight, foot length, gender, age, surgical approach and other data of the patients were collected, and the whole cohort data were randomly divided into training set and validation set according to 7:3 by SPSS 26.0 software, and the height, weight, foot length, gender, age, surgical approach and acetabular cup size used during surgery were analyzed by the person correlation analysis of the height, weight, foot length and acetabular cup size of the patients in the training cohort. Multiple linear regression equations were established with gender as the independent variable and acetabular cup size as the dependent variable, and the accuracy of the equation was calculated by substituting the data of the verification group into the equation compared with the actual acetabular cup size. Results The correlation analysis of the training set showed that surgical approach (r=0.049) and age（r=-0.140）were not correlated with the size of acetabular cup used during surgery, while height (r=0.653), weight (r=0.627), foot length (r=0.633), sex (r=0.278) were correlated with acetabular cup size used during surgery, and the prediction equation Y(acetabular cup size mm)=20.702+0.465× foot length (cm)+0.090× Height (cm) + 0.086× weight (kg) . The equation predicts 70.91% accuracy within one size, 90.91% accuracy in predicting within two sizes. Conclusion Demographic data can accurately predict the size of acetabular cup during total hip replacement, improve the working efficiency of implant suppliers and the operation efficiency of the operating room, and reduce the potential economic burden to a certain extent.