Department of Neurobiology, Care Sciences and Society, Division of Nursing, Karolinska Institutet, Stockholm, Sweden.
Department of health and caring sciences, Western Norway University of Applied Sciences, Bjørnsonsgate 45, 5528, Haugesund, Norway.
BMC Geriatr. 2020 Sep 4;20(1):323. doi: 10.1186/s12877-020-01733-2.
Assessing self-rated health by preventive home visits of older people can provide information about the person's well-being, quality of life and risk of developing illness. The aim of this study was to examine associations between self-rated health and factors related to demographics, lifestyle, health conditions and medical diagnoses by older people participating in a preventive home visit program.
A cross-sectional study including 233 participants (age 75-79) from three municipalities of Western Norway was conducted. Data were collected through preventive home visits performed by six nurses, using a questionnaire including self-rated health assessment and questions and tests related to demographics (e.g. education and housing), lifestyle (e.g. social activities, alcohol and smoking), health conditions (e.g. sensory impairment, pain and limited by disease) and medical diagnoses. Descriptive and inferential statistics including linear block-wise regression model were applied.
The block-wise regression model showed that the variables Limited by disease and Pain were negatively associated with self-rated health and Use internet was positively associated. The model had a R 0.432. The variable that contributed to largest change in the model was Limited by disease (R Change; 0.297, p-value< 0.001).
In the present study, being limited by disease and pain were strongly associated with poor self-rated health, indicating that these are important factors to assess during a preventive home visit. Also, digital competence (Use internet) was associated with a better self-rated health, suggesting that it could be useful to ask, inform and motivate for the use of digital tools that may compensate for or improve social support, social contact and access to health -related information.
通过对老年人的预防性家访来评估自感健康状况,可以提供有关个人福祉、生活质量和患病风险的信息。本研究的目的是调查参与预防性家访计划的老年人的自感健康状况与人口统计学、生活方式、健康状况和医疗诊断相关因素之间的关联。
这是一项横断面研究,包括来自挪威西部三个市的 233 名参与者(年龄 75-79 岁)。数据通过六名护士进行的预防性家访收集,使用的问卷包括自感健康评估以及与人口统计学(如教育和住房)、生活方式(如社交活动、饮酒和吸烟)、健康状况(如感觉障碍、疼痛和疾病限制)和医疗诊断相关的问题和测试。应用描述性和推断性统计,包括线性分块回归模型。
分块回归模型显示,疾病限制和疼痛这两个变量与自感健康呈负相关,而使用互联网与自感健康呈正相关。该模型的 R 0.432。对模型贡献最大的变量是疾病限制(R 变化;0.297,p 值<0.001)。
在本研究中,疾病限制和疼痛与自感健康不良密切相关,表明这些是在预防性家访中需要评估的重要因素。此外,数字能力(使用互联网)与自感健康状况较好相关,这表明询问、告知和鼓励使用可能补偿或改善社会支持、社会联系和获取健康相关信息的数字工具可能是有用的。