Latent profile analysis and influencing factors of symptom burden among stroke patients
10.3761/j.issn.0254-1769.2025.17.010
- VernacularTitle:脑卒中患者症状负担潜在剖面及影响因素分析
- Author:
Shiqing ZHANG
1
;
Xuejun XU
;
Man DENG
;
Yue YANG
;
Min LI
;
Xiumu YANG
Author Information
1. 233030 蚌埠市 蚌埠医科大学护理学院
- Publication Type:Journal Article
- Keywords:
Stroke;
Symptom Burden;
Latent Profile Analysis;
Root Cause Analysis;
Nursing Care
- From:
Chinese Journal of Nursing
2025;60(17):2110-2117
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the potential profiles of symptom burden among stroke patients and to analyze the differences in the characteristics of different classes of stroke patients,providing references for clinical nursing practice.Methods A convenience sampling method was used to select 485 stroke patients treated at 4 tertiary-level general hospitals in Anhui Province from July to December 2024 as the study population.The general information questionnaire,Stroke Symptom Cluster Scale,Personal Mastery Scale,and Cognitive Reserve Index questionnaire.Latent profile analysis was employed to explore the categories of symptom burden among stroke patients,and multiple logistic regression was used to assess the influence factors of each category.Results A total of 456 valid questionnaires were collected,with a valid response rate of 94.02％.Symptom burden among stroke patients can be divided into 4 latent profiles:low symptom burden group(69.08％),multiple symptom burden group(8.12％),moderate burden-physical activity impairment group(11.18％),and moderate burden-emotional and cognitive language impairment group(11.62％).The patient's age,number of stroke episodes,number of chronic diseases,systemic inflammation response index,personal mastery,and cognitive reserve were the factors influencing the latent profiles of symptom burden in stroke patients(P＜0.05).Conclusion The symptom burden of stroke patients shows significant heterogeneity.Medical staff can develop targeted nursing interventions based on the category characteristics and influencing factors of the symptom burden in stroke patients.
