Relationship between potential profile analysis of e-health literacy and physical activity level in elderly diabetic patients in community
10.3760/cma.j.cn211501-20231011-00720
- VernacularTitle:社区老年糖尿病患者电子健康素养潜在剖面分析与体力活动水平的关系
- Author:
Hongyu LI
1
;
Jinmei ZHANG
;
Zheqing WEN
;
Qiong ZHAO
Author Information
1. 山西省汾阳医院神经内科，汾阳 032200
- Keywords:
Diabetes mellitus;
E-health literacy;
Potential profile analysis;
Physical activity
- From:
Chinese Journal of Practical Nursing
2024;40(7):540-547
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the potential categories of e-health literacy of elderly diabetic patients in community, and analyze the relationship between each category and physical activity level, in order to provide theoretical basis for formulating intervention measures to improve e-health literacy of elderly diabetic patients.Methods:This study was across-sectional survey. Elderly diabetic patients from 3 community health service centers in Fenyang City, Shanxi Province were selected by convenient sampling method from January to June 2023. General data questionnaire, e-Health Literacy Scale and International Physical Activity Questionnaire were used to investigate the elderly diabetic patients. Mplus8.0 was used for potential profile analysis, and SPSS 26.0 software was used to compare the differences in physical activity levels among different categories of e-health literacy.Results:Totally 248 elderly diabetes patients in the community aged 60-88 (63.8 ± 6.4) years, 135 males (54.4%) and 113 females (45.6%). The e-health literacy scores of 248 elderly diabetic patients in community were (17.70 ± 5.30), which could be divided into three potential categories: general low literacy group (56.0%, 139/248), high evaluation ability-medium literacy group (18.2%, 45/248) and high access ability-high literacy group (25.8%, 64/248). Three potential categories of physical activity levels were (1 464.74 ± 190.37), (2 094.40 ± 139.70), (2 368.44 ± 157.27) metabolic equivalent-min per week, and the difference was statistically significant ( F=118.83, P<0.001). Conclusions:The e-health literacy of elderly diabetic patients in community can be divided into three potential categories, and the physical activity level of patients with different e-health literacy categories is different. It is suggested that targeted intervention should be conducted based on the homogenous group of elderly diabetic patients with e-health literacy to improve their physical activity level.
