Analysis of fall risk factors and establishment of risk identification model in elderly stroke patients in Shanghai community

Objective: To investigate the risk for falling, and fall risk related factors by visiting elderly stroke patients in Shanghai Community Health Service Center. Methods: A total of 230 patients aged from 60 to 90 in the Service Center were randomly selected during 2019 using convenience sampling method. Biochemical indicators were detected,and Morse Fall Risk Assessment Scale was used to assess the falling risk of the subjects. According to the short-form mini-nutritional assessment (MNA-SF method), patients were divided into low-risk and high-risk groups. Multivariate Logistic regression model was used to analyze the falling risk factors, and receiver operator characteristic (ROC) curves was used to evaluate the value of risk factors in predicting falling risk in elderly stroke patients. Results: After baseline analysis, Multivariate Logistic regression analysis showed that MNA-SF (OR=0.338, 95%CI: 0.225-0.508, P