摘要
目的结合脑卒中患者报告结局调查数据,比较结构方程模型全局估计、局部估计方法的差异,探讨脑卒中患者的心理成因。方法借助Stroke-PRO(patient reported outcome)量表随机调查475例脑卒中患者,分别使用两种方法对实际数据进行分析,并通过纳入不同随机效应进行敏感性分析。结果降维过程中,数据信息损失量均低于5%。敏感性分析发现本研究不存在分类变量随机效应,结构方程模型全局估计与结构模型结合局部估计两种方法结果有一定差异,后者反映的路径系数略大于前者。结合本研究实际数据,发现社会交往可降低抑郁与回避情绪,言语交流一定程度上可缓解焦虑情绪。结论结构模型结合局部估计方法可有效分析既存在潜变量,同时潜变量模型包含有随机效应项的数据,脑卒中患者心理问题成因复杂。
Objective To explore the psychological causes in stroke patients by comparing the global and local estimation methods of structural equation model with the survey data of reported outcomes.Methods 475 stroke patients were randomly investigated with the Stroke(patient reported outcome,PRO)scale.The actual data were analyzed with two methods,and the sensitivity of different random effects was analyzed.Results In the process of dimension reduction,the loss information of data was less than 5%.Sensitivity analysis shows that there are no random effects of categorical variables in this study,and there is a certain difference between the results of global and local estimation with structural equation model,and the standardized path coefficients reflected by the latter were slightly greater than the former.Based on the actual data of this study,it was found that social communication can reduce depression and avoidance,and verbal communication can alleviate anxiety to some extent.Conclusion The data involving latent variables and random effects were effectively analyzed by the traditional structural model combined with local estimation method.The causes of psychological problems in stroke patients are complex.
作者
张耀
杨婕
闫娟娟
杨洁
张岩波
Zhang Yao;Yang Jie;Yan Juanjuan(Department of Health Service and Management,Shanxi University of Chinese Medicine,Taiyuan 030024)
出处
《中国卫生统计》
CSCD
北大核心
2024年第5期658-661,共4页
Chinese Journal of Health Statistics
基金
国家自然科学基金资助项目(81872714)
山西中医药大学博士科研启动基金项目(2023BK27)
山西中医药管理局项目(2023ZYYB2034)。
