Abstract: Objective  To investigate the distribution and influencing factors of depression in convalescent patients after stroke and the screening effect of selfrating depression scale(SDS) on depressive disorder.Methods  A total of 43 patients in convalescence after stroke were included. The results of demography, heart rate, hypertension, BMI, glycosylated hemoglobin, blood cholesterol, blood triglyceride and coagulation factor activity were collected. Anxiety, depression and sleep quality were measured by Selfrating Anxiety Scale (SAS), Selfrating Depression Scale (SDS) and Pittsburgh Sleep Quality Index (PSQI). A regression model was established to observe the influence of the included variables on the SDS scores. Results  Of the 43 cases, 14 cases (32.6%) had a score of depression. The regression analysis showed that HbA1c（β=4.01, P<0.01） and  PSQI（β=0.83, P<0.05）  had significant influence on SDS score, and the regression coefficient of HbA1c was relatively large. ROC curve diagnosis revealed that the area under the ROC curve(AUC) was 0.841（95%CI：0.7130.969，P<0.01）,the best cutoff value was determined as 40.5, Youden index was 0.592, with a sensitivity of 69.2% and a specificity of 90%.Conclusion  Clinically, patients with high blood sugar and poor sleep quality after stroke should be screened and intervened in time. SDS scale can effectively screen for depressive disorder in patients.

Key words: cerebrovascular accident, depression, rehabilitation, factor analysis, , statistical