Objective To analyze the status quo of social avoidance and distress(SAD)in elderly patients with cervical cancer(CC)after surgery,and establish preliminarily a risk prediction model.Methods 156 elderly CC pa-tients after surgery treated in Cancer Hospital of Jiangsu Province from March 2022 to March 2023 were selected as the ob-servation subjects.According to whether SAD occurs,they were divided into SAD group(n=75)and non-SAD group(n=81).The univariate and multivariate analysis methods were used to analyze the risk factors for SAD.Results Lo-gistic regression analysis showed that education level,coping styles,cognitive integration,family support,self-efficacy,etc.were all independent risk factors for postoperative SAD in CC patients(P<0.05).According to the results of multi-variate logistic regression analysis,a risk prediction model was established as follows:P(SAD)=1/[1+e(-21.252+1.177 ×(low education level)+1.367 ×(negative coping style)+1.412 ×(high cognitive integration)+1.904 ×(low family support)+2.021 ×(GSES<20)+0.112 ×(total score of shame)]ROC curve analysis showed that the AUC of the risk prediction model was 0.857,the specificity was 0.802 5,and the sensitivity was 0.786 7,indicating that the model had good predictive performance.Hosmer-Lemeshow test showed that the goodness of fit test results of the prediction model were not significant(x2=9.214,df=8,P>0.05).Conclusion Elderly CC pa-tients are more likely to develop SAD after surgery,which may be related to their educational level,coping style,cognitive integration,family support,self-efficacy and other factors.The risk estimation model established based on these factors may have good predictive performance for SAD in CC patients.