Latent profile categories and influencing factors of e-health literacy in elderly patients with type 2 diabetes mellitus
10.3760/cma.j.cn115682-20250120-00342
- VernacularTitle:老年2型糖尿病患者电子健康素养潜在剖面类型及其影响因素分析
- Author:
Xue CHANG
1
;
Tianxue ZHAO
1
;
Leyan ZHAO
1
;
Rui TAO
1
Author Information
1. 首都医科大学附属北京友谊医院医保内科，北京 100050
- Publication Type:Journal Article
- Keywords:
Diabetes mellitus, type 2;
Aged;
E-health literacy;
Latent profile analysis;
Influencing factors
- From:
Chinese Journal of Modern Nursing
2025;31(27):3733-3738
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the latent profile categories of e-health literacy in elderly patients with type 2 diabetes mellitus (T2DM), and analyze their influencing factors.Methods:Between March 2023 and August 2024, 210 patients with T2DM attending the Department of Endocrinology of Beijing Friendship Hospital Affiliated with Capital Medical University were selected for the study using convenience sampling method. The survey was conducted with the General Information Questionnaire, e-Health Literacy Scale (eHEALS) and Family APGAR Questionnaire. The eHEALS scores were modeled and categorized using latent profile analysis. Logistic regression was used to analyze the factors influencing the latent profile categories of e-health literacy in T2DM patients. A total of 210 questionnaires were distributed and 203 valid questionnaires were recovered, with an effective recovery rate of 96.67% (203/210) .Results:The e-HEALS score of 203 patients with T2DM was (12.25±2.95). Three latent profile categories of e-health literacy were identified, including "low application- evaluation decision group" ( n=111), "medium application-low evaluation decision group" ( n=57) ; and "low application-medium evaluation decision group" ( n=35). Logistic regression analysis showed that young age, experience of active internet searching for health information, frequent Internet access, living with children, and high family caring were protective factors for the moderate application-low evaluation decision group, using low application-evaluation decision as a reference ( P<0.05). Young age, use of medical and health mobile applications, living with children, and high family caring were protective factors for the low application-medium evaluation decision group ( P<0.05). Young age, living with children, and high family caring were co-protective factors ( P<0.05) . Conclusions:The e-health literacy of elderly patients with T2DM is low and there is population heterogeneity. Young age, living with children, and high family caring are conducive to promoting e-health literacy. Clinical care can be tailored to educate and manage patients according to their characteristics.
