Nutritional status in older people – An explorative analysis
Autor: | Stina Engelheart, Daniela Andrén, Heléne Bertéus Forslund, Robert-Jan M. Brummer, Dirk Repsilber |
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Rok vydání: | 2021 |
Předmět: |
Male
Gerontology Nutrition and Dietetics Frailty business.industry Endocrinology Diabetes and Metabolism Malnutrition Nutritional Status Nutritional status Cognition medicine.disease Affect (psychology) Home Care Services Correlation Nutrition Assessment Sarcopenia Humans Medicine Female Set (psychology) business Older people Aged |
Zdroj: | Clinical Nutrition ESPEN. 46:424-433 |
ISSN: | 2405-4577 |
Popis: | BACKGROUND & AIMS The nutritional status is seldom defined in general, but is considered to be important throughout life span, especially in times of diseases and disabilities. We previously proposed a theoretical model of the nutritional status from a functional perspective [1], however without proposing a definition of the nutritional status. The model comprises four domains that might affect the nutritional and functional status in a bidirectional way. These four domains are: Food and nutrition; Health and somatic disorders; Physical function and capacity; and Cognitive, affective, and sensory function. This study contributes to the existing literature and knowledge by empirically analysing patterns and relationships of possible nutritional status indicators within and between the four domains. METHODS This study is based on a sample of 69 men and women; older than 65 years, receiving home health care. They were followed up for three years. A broad set of nutritional status indicators in the participants were assessed in their home yearly. Given the small sample size and large number of variables, we used both correlation and factor analysis to explore patterns of nutritional status indicators within the four domains and relationships between the four domains suggested by the theoretical model of nutritional status which we proposed earlier. RESULTS At baseline, between 4 and 18 components were extracted from the four domains, separately, using factor analysis. The first three components of each domain (called main components) were correlated (p |
Databáze: | OpenAIRE |
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