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.

Objective:To investigate the symptoms and symptom clusters of elderly stroke patients in the acute phase, analyze the factors influencing the symptom clusters and to provide a basis for the implementation of targeted symptom management in elderly stroke patients.Methods:Convenience sampling method was used to select 257 acute-phase elderly stroke patients who attended Fenyang Hospital in Shanxi Province from October 2022 to January 2023, and a cross-sectional survey was conducted by the General Information Questionnaire, Memory Symptom Evaluation Inventory, Modified Barthel Index Scale (MBI), and the National Institutes of Health Stroke Scale (NIHSS), and the symptom clusters were extracted by means of exploratory factor analysis, and the factors influencing symptom clusters were explored by means of binary logistic regression analysis.Results:Of the 257 patients, 138 were male and 119 were female, aged 60 to 90 (70.34 ± 6.94) years old. Factor analysis yielded four symptom clusters, which were named oral-intestinal symptom cluster, negative emotional symptom cluster, fatigue symptom cluster, and perceptual symptom cluster according to the symptom characteristics; regression analysis showed that: stroke site and NIHSS scores were the influencing factors of the oral-intestinal symptom cluster (all P<0.05); per capita monthly family income, number of episodes and MBI scores were the influencing factors of the negative emotional symptom cluster (all P<0.05); number of chronic diseases, type of stroke, and gender were the influencing factors of the fatigue emotional symptom cluster (all P<0.05); and literacy and stroke site were influencing factors of the perception symptom cluster (all P<0.05). Conclusions:Elderly stroke patients in the acute phase of the existence of more symptoms, symptoms interact with each other to form symptom clusters, health care personnel should be symptom clusters as a unit, the implementation of interventions for their influencing factors, effective symptom management, in order to improve the quality of life of patients.