| Objectives To explore the influencing factors of symptom burden,everyday perceived discrimination and post-stroke depression in stroke patients,and to construct a structural equation model among them,so as to clarify the relationship between symptom burden,everyday perceived discrimination and post-stroke depression in stroke patients,and to provide a basis for the effective improvement of post-stroke depression in patients.Methods A questionnaire survey was conducted among 488 eligible stroke patients in Taihe Rehabilitation Hospital of Baoding City from October 2019 to September 2020using the method of convenience sampling.The subjects were investigated by using general condition questionnaire,Hamilton depression scale,symptom burden scale of stroke patients,everyday perceived discrimination scale,stroke knowledge scale,family care scale and social support scale.All data were analyzed by SPSS22.0 and AMOS21.0statistical software packages.Measurement data were analyzed by t-test and analysis of variance for single factors,and multivariate linear regression analysis for multiple factors.Enumeration data were analyzed by n,%and X~2tests for single factors,and regression analysis was performed by binary Logistic for multiple factors.Pearson correlation was used to explore the correlation between the three,and structural equation model was used to explore the mediating effect of perceived discrimination.Results 1 The symptom burden score(2.58±0.61)of stroke patients was the highest in the dimension of physical and self-care ability.Multiple linear regression analysis showed that female,elderly,spousal,low educational level,the first stroke,smoking,long-term drug use,poor family care,low social support level of stroke patients with higher symptom burden score.2.Old age,spouse,stroke frequency,illness time,number of children,good family care,and satisfactory social support score higher in everyday perceived discrimination.3.The incidence of post-stroke depression in stroke patients was 52.7%.Age,spouse status,monthly income,nature of work,chronic diseases,stroke frequency,stroke knowledge,number of children,family care,social support were independent influencing factors for post-stroke depression.4 Pearson correlation analysis showed that symptom burden score of stroke patients was positively correlated with post-stroke depression score(r=0.768,P<0.05),the scores of everyday perceived discrimination were negatively correlated with the scores of post-stroke depression(r=-0.709,P<0.05).5Structural equation model showed that the symptom burden of stroke patients had a direct positive effect on post-stroke depression(β=0.576,P<0.05).Everyday perceived discrimination had a direct negative effect on post-stroke depression(β=-0.367,P<0.05),Symptom burden also positively affected post-stroke depression with everyday perceived discrimination as a mediating variablethe(β=0.228,P<0.05).Conclusions 1 The symptom burden of stroke patients was the highest in the dimension of physical and self-care ability.Female,old age,no spouse,low educational level,the first stroke,smoking,long-term drug use,poor family care,low level of social support are the risk factors for the symptom burden of stroke patients.2 Old age,spouse,stroke frequency,illness time,number of children,good degree of family care,and satisfied level of social support are the protective factors of patients’everyday perceived discrimination.3 The incidence of post-stroke depression in stroke patients was 52.7%.Age,spouse status,monthly income,type of work,number of chronic disease,stroke frequency,knowledge level of stroke,number of children,family care and social support were independent influencing factors for post-stroke depression.4 Symptom burden and everyday perceived discrimination in stroke patients were associated with post-stroke depression.Symptom burden positively affected post-stroke depression,and everyday perceived discrimination negatively affected post-stroke depression.Symptom burden also positively affected post-stroke depression with everyday perceived discrimination as a mediating variable.Figure 3;Table 21;Reference 164... |