ORIGINAL RESEARCH article
Front. Psychol.
Sec. Health Psychology
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1601198
Self-perceived burden in elderly patients with chronic co-morbidities: a latent profile analysis
Provisionally accepted
- 1The Fifth People's Hospital of Ningxia Hui Autonomous Region, Shizuishan, China
- 2Ningxia Fifth People's Hospital Hospital Dawukou Hospital, Shizuishan, China
- 3Department of Nursing,The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu,211100, China
- 4Department of Nursing, Jiangning Clinical Medical College of Kanda College of Nanjing Medical University, Nanjing, Jiangsu,211100, China
- 5The First Clinical Medical College Ningxia Medical University, Yinchuan,750000, China
- 6School of Nursing, Shanxi Medical University, Taiyuan, Shanxi Province, China
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Objective This study aims to identify latent categories and characteristics of self-perceived burden among elderly patients with chronic comorbidities through latent profile analysis, and to analyze influencing factors across different latent categories. Methods This study adopted a convenience sampling method, this research enrolled 632 hospitalized elderly patients with chronic comorbidities as study participants from January to April 2024. Data collection utilized surveys including general information questionnaires, the self-Perceived burden scale, the medication knowledge scale for elderly chronic disease Patients, and the technophobia scale. Latent profile analysis was conducted to characterize the self-perceived burden among respondents, with one-way ANOVA and logistic regression analysis employed to explore influencing factors across different categories. Results This study collected 611 valid questionnaires. Based on potential profile analysis, the self-perceived burden of elderly patients with chronic diseases was categorized into three groups: moderate, low, and high symptom groups, accounting for 43.54%, 36.49%, and 19.97%, respectively. Univariate analysis revealed that factors such as status of occupational,personal monthly income,caregivers, residential mode,medical insurance type ,daily exercise duration ,course of disease ,times of hospitalizations,self-rated sleep status,medication literacy and technology anxiety impact the self-perceived burden of chronic comorbidities across different categories. Conclusion Elderly patients with chronic comorbidities demonstrated heterogeneity in latent profiles of self-perceived burden, with those experiencing moderate burden accounting for the highest proportion. Medication literacy and technology-related anxiety significantly influenced self-perceived burden. Healthcare professionals should develop targeted health education programs and early intervention strategies to reduce patients' self-perceived burden levels. Clinical trial number: not applicable.
Keywords: Elderly patients with Chronic co-morbidities, Self-perceived burden, latent profile analysis, Medication literacy, Technology anxiety, Psychology
Received: 07 Apr 2025; Accepted: 12 Sep 2025.
Copyright: © 2025 Chen, Jia, Li, Lv, Du and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Silu Lv, lvsilu0915@163.com
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