目的 了解社区老年糖尿病患者电子健康素养的潜在类别，分析各类别与体力活动水平之间的关系，以期为制订提高老年糖尿病患者电子健康素养的干预措施提供理论依据。 方法 本研究为横断面调查，采用方便抽样法于2023年1—6月选取山西省汾阳市3个社区卫生服务中心的老年糖尿病患者为研究对象，采用一般资料调查表、电子健康素养量表及国际体力活动问卷对其进行调查。采用Mplus 8.0进行潜在剖面分析，SPSS 26.0软件比较不同类别电子健康素养在体力活动水平上的差异。 结果 248例社区老年糖尿病患者年龄为60~88（63.8 ± 6.4）岁，男135例（54.4%），女113例（45.6%），电子健康素养得分（17.70 ± 5.30）分，可分为3个潜在类别，分别为普遍低素养组占56.0%（139/248）、高评判能力-中素养组占18.2%（45/248）和高获取能力-高素养组占25.8%（64/248）。3个潜在类别体力活动水平分别为（1 464.74 ± 190.37）、（2 094.40 ± 139.70）、（2 368.44 ± 157.27）代谢当量-min/周，差异有统计学意义（F=118.83，P<0.001）。 结论 社区老年糖尿病患者电子健康素养可分为3个潜在类别，不同电子健康素养类别的患者体力活动水平存在差异，建议基于老年糖尿病患者电子健康素养同质群体，有针对性地进行干预，以期改善其体力活动水平。 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.
Relationship between potential profile analysis of e-health literacy and physical activity level in elderly diabetic patients in community
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.
万方数据
