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Characterisation of community-dwelling older adults with poor appetite
PURPOSE: A poor appetite affects up to 27% of community-dwelling older adults in Europe and is an early predictor of malnutrition. Little is known about the factors associated with poor appetite. The present study, therefore, aims to characterise older adults with poor appetite. METHODS: As part of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349734/ https://www.ncbi.nlm.nih.gov/pubmed/36869911 http://dx.doi.org/10.1007/s00394-023-03129-5 |
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author | Scheufele, Pia Rappl, Anja Visser, Marjolein Kiesswetter, Eva Volkert, Dorothee |
author_facet | Scheufele, Pia Rappl, Anja Visser, Marjolein Kiesswetter, Eva Volkert, Dorothee |
author_sort | Scheufele, Pia |
collection | PubMed |
description | PURPOSE: A poor appetite affects up to 27% of community-dwelling older adults in Europe and is an early predictor of malnutrition. Little is known about the factors associated with poor appetite. The present study, therefore, aims to characterise older adults with poor appetite. METHODS: As part of the European JPI project APPETITE, data from 850 participants, aged ≥ 70 years of the Longitudinal Ageing Study Amsterdam (LASA) from 2015/16 were analysed. Appetite during the last week was assessed with a five-point scale and dichotomised into "normal" and "poor". Binary logistic regression was used to examine associations between 25 characteristics from 5 domains—physiological, emotional, cognitive, social, and lifestyle—and appetite. First, domain-specific models were calculated using stepwise backward selection. Second, all variables contributing to poor appetite were combined in a multi-domain model. RESULTS: The prevalence of self-reported poor appetite was 15.6%. Fourteen parameters from all five single-domain models contributed to poor appetite and were entered into the multi-domain model. Here, female sex (total prevalence: 56.1%, odds ratio: 1.95 [95% confidence interval 1.10–3.44]), self-reported chewing problems (2.4%, 5.69 [1.88–17.20]), any unintended weight loss in the last 6 months (6.7%, 3.07 [1.36–6.94]), polypharmacy defined as ≥ 5 medications in the past 2 weeks (38.4%, 1.87 [1.04–3.39]), and depressive symptoms (Centre for Epidemiologic Studies Depression Scale without appetite item) (1.12 [1.04–1.21]) were associated with an increased likelihood of having poor appetite. CONCLUSION: According to this analysis, older people with the characteristics described above are more likely to have a poor appetite. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-023-03129-5. |
format | Online Article Text |
id | pubmed-10349734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-103497342023-07-17 Characterisation of community-dwelling older adults with poor appetite Scheufele, Pia Rappl, Anja Visser, Marjolein Kiesswetter, Eva Volkert, Dorothee Eur J Nutr Original Contribution PURPOSE: A poor appetite affects up to 27% of community-dwelling older adults in Europe and is an early predictor of malnutrition. Little is known about the factors associated with poor appetite. The present study, therefore, aims to characterise older adults with poor appetite. METHODS: As part of the European JPI project APPETITE, data from 850 participants, aged ≥ 70 years of the Longitudinal Ageing Study Amsterdam (LASA) from 2015/16 were analysed. Appetite during the last week was assessed with a five-point scale and dichotomised into "normal" and "poor". Binary logistic regression was used to examine associations between 25 characteristics from 5 domains—physiological, emotional, cognitive, social, and lifestyle—and appetite. First, domain-specific models were calculated using stepwise backward selection. Second, all variables contributing to poor appetite were combined in a multi-domain model. RESULTS: The prevalence of self-reported poor appetite was 15.6%. Fourteen parameters from all five single-domain models contributed to poor appetite and were entered into the multi-domain model. Here, female sex (total prevalence: 56.1%, odds ratio: 1.95 [95% confidence interval 1.10–3.44]), self-reported chewing problems (2.4%, 5.69 [1.88–17.20]), any unintended weight loss in the last 6 months (6.7%, 3.07 [1.36–6.94]), polypharmacy defined as ≥ 5 medications in the past 2 weeks (38.4%, 1.87 [1.04–3.39]), and depressive symptoms (Centre for Epidemiologic Studies Depression Scale without appetite item) (1.12 [1.04–1.21]) were associated with an increased likelihood of having poor appetite. CONCLUSION: According to this analysis, older people with the characteristics described above are more likely to have a poor appetite. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-023-03129-5. Springer Berlin Heidelberg 2023-03-04 2023 /pmc/articles/PMC10349734/ /pubmed/36869911 http://dx.doi.org/10.1007/s00394-023-03129-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Contribution Scheufele, Pia Rappl, Anja Visser, Marjolein Kiesswetter, Eva Volkert, Dorothee Characterisation of community-dwelling older adults with poor appetite |
title | Characterisation of community-dwelling older adults with poor appetite |
title_full | Characterisation of community-dwelling older adults with poor appetite |
title_fullStr | Characterisation of community-dwelling older adults with poor appetite |
title_full_unstemmed | Characterisation of community-dwelling older adults with poor appetite |
title_short | Characterisation of community-dwelling older adults with poor appetite |
title_sort | characterisation of community-dwelling older adults with poor appetite |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349734/ https://www.ncbi.nlm.nih.gov/pubmed/36869911 http://dx.doi.org/10.1007/s00394-023-03129-5 |
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