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Multimorbidity patt...
Multimorbidity patterns and risk of frailty in older community-dwelling adults : a population-based cohort study
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- Tazzeo, Clare (författare)
- Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI)
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- Rizzuto, Debora (författare)
- Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Stockholm Gerontology Research Centrum, Sweden
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- Calderón-Larrañaga, Amaia (författare)
- Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI)
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Roso-Llorach, Albert (författare)
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- Marengoni, Alessandra (författare)
- Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),University of Brescia, Italy
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- Welmer, Anna-Karin (författare)
- Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI)
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Onder, Graziano (författare)
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- Trevisan, Caterina (författare)
- Karolinska Institutet
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- Vetrano, Davide Liborio (författare)
- Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Italy; Università Cattolica del Sacro Cuore, Italy
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(creator_code:org_t)
- 2021-07-03
- 2021
- Engelska.
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Ingår i: Age and Ageing. - : Oxford University Press (OUP). - 0002-0729 .- 1468-2834. ; 50:6, s. 2183-2191
- Relaterad länk:
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https://doi.org/10.1...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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http://kipublication...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Annan medicin och hälsovetenskap -- Gerontologi, medicinsk/hälsovetenskaplig inriktning (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Other Medical and Health Sciences -- Gerontology, specialising in Medical and Health Sciences (hsv//eng)
Nyckelord
- multimorbidity
- frailty
- older people
- longitudinal population-based study
- personalised medicine
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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