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Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study
BACKGROUND: the aim of this study was to examine the cross-sectional and longitudinal associations of different multimorbidity patterns with physical frailty in older adults. METHODS: we used data from the Swedish National study on Aging and Care in Kungsholmen to generate a physical frailty measure...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581386/ https://www.ncbi.nlm.nih.gov/pubmed/34228784 http://dx.doi.org/10.1093/ageing/afab138 |
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author | Tazzeo, Clare Rizzuto, Debora Calderón-Larrañaga, Amaia Roso-Llorach, Albert Marengoni, Alessandra Welmer, Anna-Karin Onder, Graziano Trevisan, Caterina Vetrano, Davide Liborio |
author_facet | Tazzeo, Clare Rizzuto, Debora Calderón-Larrañaga, Amaia Roso-Llorach, Albert Marengoni, Alessandra Welmer, Anna-Karin Onder, Graziano Trevisan, Caterina Vetrano, Davide Liborio |
author_sort | Tazzeo, Clare |
collection | PubMed |
description | BACKGROUND: the aim of this study was to examine the cross-sectional and longitudinal associations of different multimorbidity patterns with physical frailty in older adults. METHODS: we used data from the Swedish National study on Aging and Care in Kungsholmen to generate a physical frailty measure, and clusters of participants with similar multimorbidity patterns were identified through fuzzy c-means cluster analyses. The cross-sectional association (n = 2,534) between multimorbidity clusters and physical frailty was measured through logistic regression analyses. Six- (n = 2,122) and 12-year (n = 2,140) longitudinal associations were determined through multinomial logistic regression analyses. RESULTS: six multimorbidity patterns were identified at baseline: psychiatric diseases; cardiovascular diseases, anaemia and dementia; sensory impairments and cancer; metabolic and sleep disorders; musculoskeletal, respiratory and gastrointestinal diseases; and an unspecific pattern lacking any overrepresented diseases. Cross-sectionally, each pattern was associated with physical frailty compared with the unspecific pattern. Over 6 years, the psychiatric diseases (relative risk ratio [RRR]: 3.04; 95% confidence intervals [CI]: 1.59–5.79); cardiovascular diseases, anaemia and dementia (RRR 2.25; 95% CI: 1.13–4.49) and metabolic and sleep disorders (RRR 1.99; 95% CI: 1.25–3.16) patterns were associated with incident physical frailty. The cardiovascular diseases, anaemia and dementia (RRR: 4.81; 95% CI: 1.59–14.60); psychiatric diseases (RRR 2.62; 95% CI: 1.45–4.72) and sensory impairments and cancer (RRR 1.87; 95% CI: 1.05–3.35) patterns were more associated with physical frailty, compared with the unspecific pattern, over 12 years. CONCLUSIONS: we found that older adults with multimorbidity characterised by cardiovascular and neuropsychiatric disease patterns are most susceptible to developing physical frailty. |
format | Online Article Text |
id | pubmed-8581386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85813862021-11-12 Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study Tazzeo, Clare Rizzuto, Debora Calderón-Larrañaga, Amaia Roso-Llorach, Albert Marengoni, Alessandra Welmer, Anna-Karin Onder, Graziano Trevisan, Caterina Vetrano, Davide Liborio Age Ageing Research Paper BACKGROUND: the aim of this study was to examine the cross-sectional and longitudinal associations of different multimorbidity patterns with physical frailty in older adults. METHODS: we used data from the Swedish National study on Aging and Care in Kungsholmen to generate a physical frailty measure, and clusters of participants with similar multimorbidity patterns were identified through fuzzy c-means cluster analyses. The cross-sectional association (n = 2,534) between multimorbidity clusters and physical frailty was measured through logistic regression analyses. Six- (n = 2,122) and 12-year (n = 2,140) longitudinal associations were determined through multinomial logistic regression analyses. RESULTS: six multimorbidity patterns were identified at baseline: psychiatric diseases; cardiovascular diseases, anaemia and dementia; sensory impairments and cancer; metabolic and sleep disorders; musculoskeletal, respiratory and gastrointestinal diseases; and an unspecific pattern lacking any overrepresented diseases. Cross-sectionally, each pattern was associated with physical frailty compared with the unspecific pattern. Over 6 years, the psychiatric diseases (relative risk ratio [RRR]: 3.04; 95% confidence intervals [CI]: 1.59–5.79); cardiovascular diseases, anaemia and dementia (RRR 2.25; 95% CI: 1.13–4.49) and metabolic and sleep disorders (RRR 1.99; 95% CI: 1.25–3.16) patterns were associated with incident physical frailty. The cardiovascular diseases, anaemia and dementia (RRR: 4.81; 95% CI: 1.59–14.60); psychiatric diseases (RRR 2.62; 95% CI: 1.45–4.72) and sensory impairments and cancer (RRR 1.87; 95% CI: 1.05–3.35) patterns were more associated with physical frailty, compared with the unspecific pattern, over 12 years. CONCLUSIONS: we found that older adults with multimorbidity characterised by cardiovascular and neuropsychiatric disease patterns are most susceptible to developing physical frailty. Oxford University Press 2021-07-03 /pmc/articles/PMC8581386/ /pubmed/34228784 http://dx.doi.org/10.1093/ageing/afab138 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Paper Tazzeo, Clare Rizzuto, Debora Calderón-Larrañaga, Amaia Roso-Llorach, Albert Marengoni, Alessandra Welmer, Anna-Karin Onder, Graziano Trevisan, Caterina Vetrano, Davide Liborio Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study |
title | Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study |
title_full | Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study |
title_fullStr | Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study |
title_full_unstemmed | Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study |
title_short | Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study |
title_sort | multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581386/ https://www.ncbi.nlm.nih.gov/pubmed/34228784 http://dx.doi.org/10.1093/ageing/afab138 |
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