Potential profiling analysis and influencing factors of apathy among stroke patients
10.3761/j.issn.0254-1769.2025.13.010
- VernacularTitle:脑卒中患者淡漠症状的潜在剖面及影响因素研究
- Author:
Hua LI
1
;
Jing ZHOU
;
Baifa ZU
;
Fuchen WU
;
Ensheng YAO
Author Information
1. 832008 新疆维吾尔自治区石河子市 石河子大学第一附属医院神经内科
- Publication Type:Journal Article
- Keywords:
Stroke;
Apathy;
Potential Profile Analysis;
Root Cause Analysis;
Nursing Care
- From:
Chinese Journal of Nursing
2025;60(13):1595-1602
- CountryChina
- Language:Chinese
-
Abstract:
Objective To identify the potential categories and influencing factors of apathy in stroke patients,providing a basis for precise typing and individualized interventions by healthcare professionals.Methods Using the convenience sampling method,stroke patients from 2 tertiary hospitals in Xinjiang Uggur Automous Region were selected from November 2023 to August 2024,and were surveyed using the General Information Questionnaire,Apathy Evaluation Scale-Informant,Perceived Autonomy Scale,and Stroke Self-Efficacy Questionnaire.The latent profile analysis was used to identify potential categories of apathy,and logistic regression analysis was used to explore the differences in the characteristics of patients in different categories.Results The apathy symptoms of 521 stroke patients could be divided into 3 potential categories:mild apathy group(23.6％),moderate apathy-low interest-low behavioral group(46.5％),and heavy apathy-low interest-low cognitive group(29.9％).Logistic regression showed that age 45～＜60 years,duration of the disease＜6 months,and high rehabilitation self-efficacy were the common protective factors of the moderate apathy-low interest-low behavioral group and the heavy apathy-low interest-low cognitive group.The dependence on activities of daily living was a risk factor for the moderate apathy-low interest-low behavioral group,and high perception of autonomy was a protective factor for the heavy apathy-low interest-low cognitive group.Conclusion Apathy symptoms in stroke patients are characterized by distinct categories,which are influenced by age,stroke duration,ADL,rehabilitation self-efficacy,and perception of autonomy.Healthcare professionals should adopt effective strategies to precisely intervene based on different potential categories of protective factors and risk factors to alleviate their apathy.
