Factors associated with self-rated health in a Norwegian population of older people participating in a preventive home visit program: a cross-sectional study
| Autor: | Lars Malvin Røsseland Kvinge, Åke Seiger, Anne-Marie Boström, Arvid Rongve, Knut Skaug, Berit Cronfalk Seiger, Astrid Fjell, Monica Hermann, Jörg Aßmus |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Gerontology
Cross-sectional study Population Disease lcsh:Geriatrics self-rated health 03 medical and health sciences Social support 0302 clinical medicine Quality of life (healthcare) Preventive Health Services Medicine Humans 030212 general & internal medicine education information and communication technology older adults Self-rated health Aged Aged 80 and over education.field_of_study business.industry preventive home visits Norway 030503 health policy & services linear regression model House Calls lcsh:RC952-954.6 limited by disease Cross-Sectional Studies Health assessment VDP::Medisinske Fag: 700::Helsefag: 800 Quality of Life Geriatrics and Gerontology 0305 other medical science business cross-sectional study design Research Article |
| Zdroj: | BMC Geriatrics 20:323 BMC Geriatrics, Vol 20, Iss 1, Pp 1-12 (2020) |
| Popis: | Background 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. Methods 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. Results 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 R2 0.432. The variable that contributed to largest change in the model was Limited by disease (R2 Change; 0.297, p-value Conclusions 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. |
| Databáze: | OpenAIRE |
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