Malnutrition and related risk factors in older adults from different health-care settings

An enable study

Bibliographic Data

ID15097166
AuthorsEva Kiesswetter (0000-0003-1721-215X, Friedrich-Alexander-Universität Erlangen-Nürnberg, corresponding author), Miriam Giovanna Colombo (0000-0003-2814-1000, Helmholtz Zentrum München), Christa Meisinger (0000-0002-9026-6544, Ludwig-Maximilians-Universität München), Annette Peters (0000-0001-6645-0985, Helmholtz Zentrum München), Barbara Thorand (0000-0002-8416-6440, Helmholtz Zentrum München), Rolf Holle (0000-0001-5395-2695, Helmholtz Zentrum München), Karl-Heinz Ladwig (0000-0002-0221-311X), Karl‐heinz Ladwig (0000-0003-0710-1720, Helmholtz Zentrum München), Holger Schulz (0000-0001-5375-0030, Helmholtz Zentrum München), Eva Grill (0000-0002-0273-7984, Ludwig-Maximilians-Universität München), Rebecca Diekmann (0000-0001-9793-3832, Carl von Ossietzky Universität Oldenburg), Eva Schrader (Institute for Biomedicine), Peter Stehle (0000-0002-4596-8088, University of Bonn), Cornel Sieber (0000-0002-6271-7459, Institute for Biomedicine), Cornel C Sieber, Dorothee Volkert (0000-0002-1003-6395, Institute for Biomedicine)
Year2020
Volume23
Issue3
Pages446-456
Publication date2020-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980019002271
PMID31453792
OpenAlexW2970067742
LanguageEN
Citations received5
References cited48

Objective: The origin of malnutrition in older age is multifactorial and risk factors may vary according to health and living situation. The present study aimed to identify setting-specific risk profiles of malnutrition in older adults and to investigate the association of the number of individual risk factors with malnutrition. Design: Data of four cross-sectional studies were harmonized and uniformly analysed. Malnutrition was defined as BMI 2 and/or weight loss of >3 kg in the previous 3–6 months. Associations between factors of six domains (demographics, health, mental function, physical function, dietary intake-related problems, dietary behaviour), the number of individual risk factors and malnutrition were analysed using logistic regression. Setting: Community (CD), geriatric day hospital (GDH), home care (HC), nursing home (NH). Participants: CD older adults ( n 1073), GDH patients ( n 180), HC receivers ( n 335) and NH residents ( n 197), all ≥65 years. Results: Malnutrition prevalence was lower in CD (11 %) than in the other settings (16–19 %). In the CD sample, poor appetite, difficulties with eating, respiratory and gastrointestinal diseases were associated with malnutrition; in GDH patients, poor appetite and respiratory diseases; in HC receivers, younger age, poor appetite and nausea; and in NH residents, older age and mobility limitations. In all settings the likelihood of malnutrition increased with the number of potential individual risk factors. Conclusions: The study indicates a varying relevance of certain risk factors of malnutrition in different settings. However, the relationship of the number of individual risk factors with malnutrition in all settings implies comprehensive approaches to identify persons at risk of malnutrition early

Appetite · Cross-sectional study · Environmental health · Logistic regression · Malnutrition · Poor Appetite · Child Nutrition and Feeding Issues · Dysphagia Assessment and Management · Medicine · Nutrition and Health in Aging · Gerontology · Internal Medicine

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