RN. School of Nursing, Faculty of Health Sciences, Universitas Jenderal Soedirman, Indonesia .
RN. MN. Assistant Professor. School of Nursing, Faculty of Health Sciences, Universitas Jenderal Soedirman, Indonesia.
Invest Educ Enferm. 2023 Jun;41(2). doi: 10.17533/udea.iee.v41n2e13.
. This study aims to identify predictive factors of COVID-19-related health literacy (HL) among older adults living in rural areas.
This study used a cross-sectional design. A total of 106 respondents participated in this study. HL was measured by using a questionnaire modified from the HLS-COVID-Q22, in addition, the scales 'Health Information Seeking','Family's Social Support Scale', 'Health Service Utilization'; and information on some socio-demographic variables was also obtained. A multiple linear regression model was used to identify the predictors of HL.
About two-thirds of the respondents had a moderate level of HL (63.2%). Multiple linear regression analysis showed that education level, family support, information source, and gender were significant predictors for HL (p<0.01).
HL literacy was better among males, highly educated older people, media users, and those with adequate family support. This study provided insight for nurses and healthcare professionals to pay greater attention to vulnerable groups of older people (ie. female gender and those with less formal education) as well as involve family members in education or health promotion activities and use easily accessed media, such as television and radio.
。本研究旨在确定农村地区老年人群中与 COVID-19 相关的健康素养（HL）的预测因素。
本研究采用横断面设计。共有 106 名受访者参加了这项研究。HL 通过使用从 HLS-COVID-Q22 修改而来的问卷进行测量，此外，还获得了“健康信息寻求”、“家庭社会支持量表”、“健康服务利用”等量表的信息，以及一些社会人口统计学变量的信息。采用多元线性回归模型来确定 HL 的预测因素。
约三分之二的受访者具有中等水平的 HL（63.2%）。多元线性回归分析表明，教育程度、家庭支持、信息来源和性别是 HL 的显著预测因素（p<0.01）。
男性、受教育程度较高、媒体使用者和家庭支持充足的老年人 HL 水平较高。本研究为护士和医疗保健专业人员提供了一些见解，即需要更加关注老年人群体中的弱势群体（即女性和受正规教育程度较低的群体），并让家庭成员参与教育或健康促进活动，利用容易获取的媒体，如电视和广播。
