Work

Risk perception of disease aggravation among older patients with non-communicable diseases: a latent profile analysis

Year: 2025

Type: article

Abstract: • The study concluded four latent profiles of risk perception of disease aggravation risk among older patients living with non-communicable diseases: higher risk perception − lower affection experience (Profile 1), moderate risk perception (Profile 2), lower risk perception (Profile 3) and higher risk perception − higher serious outcome (Profile 4). • Influencing factors of the latent profiles were different. Medical workers can develop personalized interventions to assist older patients obtaining comprehensive and accurate risk perception of disease aggravation based on the influencing factors. This study aimed to explore potential profiles and influencing factors of risk perception of disease aggravation for older patients with non-communicable diseases. Applying convenience sampling, we recruited 598 participants. Latent profile analysis and multivariate disordered logistic regression analysis were conducted to explore profiles and influencing factors. Four latent profiles were identified: higher risk perception − lower affection experience (Profile 1), moderate risk perception (Profile 2), lower risk perception (Profile 3) and higher risk perception − higher serious outcome (Profile 4). Compared with patients in Profile 2, patients in Profile 1 were male and had longer time since diagnosis; patients in Profile 3 had primary school or lower education level; and patients in Profile 4 had higher age, reimbursement proportion of medical insurance <30 % or 30 % − 50 %, and longer time since diagnosis. Personalized interventions for improving risk perception of disease aggravation can be developed according to the results.

Source: Geriatric Nursing

DOI: 10.1016/j.gerinurse.2025.103681

Authors: Jizhe WANG, Xiaohong LU, Xinyang YU, Tong QIN, Fan LI, Xiuli ZHU

Institutions: Affiliated Hospital of Qingdao University, Qingdao University, Jilin University

Language: English

Topic: Health Education and Validation

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,280