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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...

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Autores principales: Tazzeo, Clare, Rizzuto, Debora, Calderón-Larrañaga, Amaia, Roso-Llorach, Albert, Marengoni, Alessandra, Welmer, Anna-Karin, Onder, Graziano, Trevisan, Caterina, Vetrano, Davide Liborio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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.
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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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