Latent Profile Analysis and Influencing Factors of Return-to-work Self-efficacy Among Young and Middle-aged Patients with Stroke
Objective To explore the latent classification of return-to-work self-efficacy among young and middle-aged patients with stroke and to analyze the differences in the characteristics of different classes of young and middle-aged patients with stroke.Methods 350 young and middle-aged patients with stroke in two communities in Zhengzhou were selected as the research objects from November 2020 to April 2021.The general information questionnaire,modified Rankin Scale,Return-To-Work Self-Efficacy Scale,Fatigue Severity Scale,Patient Health Questionnaire 9-item Scale,and Generalized Anxiety Disorder-7 were used for investigation.Latent profile analysis was used to analyze the latent classification of patients'return-to-work self-efficacy and multivariable logistic regression analysis was used to evaluate the effect of different factors on different classes.Results RTW-SE of young and middle-aged patients with stroke was divided into three classes,including high intrinsic coping-low work coping group(19.9%),high work coping-low intrinsic coping group(55.8%),and broad intermediate group(24.3%).Marital status,monthly household income per person,occupation type,whether the patient provided the main financial support for the family before stroke,fatigue after stroke and physical dysfunction were predictors of the latent classification of re-turn-to-work self-efficacy among young and middle-aged patients with stroke(all P＜0.05).Conclusions There are three latent classes of return-to-work self-efficacy among young and middle-aged patients with stroke.Medical staff should pay attention to the characteristics of return-to-work self-efficacy and imple-ment targeted interventions to help them return to society as soon as possible.
strokeyoung and middle-aged patientreturn-to-work self-efficacylatent profile analysisinfluencing factor
NETL
NSTL
万方数据
维普
