Potential profile analysis of disease acceptance and its influencing factors in Parkinson's disease patients
10.3760/cma.j.cn115682-20240823-04740
- VernacularTitle:帕金森病患者疾病接受度的潜在剖面分析及影响因素研究
- Author:
Yanru LANG
1
;
Anchun YIN
1
Author Information
1. 大连医科大学附属第一医院护理部，大连 116000
- Publication Type:Journal Article
- Keywords:
Parkinson's disease;
Disease acceptance;
Latent profile analysis;
Influencing factors
- From:
Chinese Journal of Modern Nursing
2025;31(8):1065-1071
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the latent categories of disease acceptance in Parkinson's disease (PD) patients and analyze the influencing factors of different categories.Methods:This cross-sectional study employed convenience sampling to select 221 PD patients from the Neurology Outpatient Department of The First Affiliated Hospital of Dalian Medical University from April to July 2024. Participants were surveyed using a General Information Questionnaire, the Chinese version of the Acceptance of Illness Scale, and the Psychosocial Adaptation Scale for PD. Latent profile analysis was conducted using Mplus 8.3 software, and multinomial logistic regression analysis was performed to compare the influencing factors of disease acceptance among different categories.Results:A total of 221 questionnaires were distributed, with 200 valid responses, resulting in an effective response rate of 90.50%. The disease acceptance levels of the 200 PD patients were categorized into 3 latent groups: poor disease acceptance (38.0%), moderate disease acceptance (38.5%), and good disease acceptance (23.5%). Multinomial logistic regression analysis revealed that education level, psychosocial adaptation and its anxiety/depression dimension, self-efficacy dimension, self-acceptance dimension, self-esteem dimension, and social support dimension were influencing factors of disease acceptance in PD patients ( P<0.05) . Conclusions:There is significant heterogeneity in disease acceptance among PD patients. Nurses should focus on patients' education level, psychosocial adaptation, and other factors to develop targeted and individualized interventions for different categories of PD patients.
