2021
DOI: 10.1093/ageing/afab138
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Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study

Abstract: 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 cro… Show more

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Cited by 46 publications
(29 citation statements)
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“…Interestingly, it has been observed that unintentional weight loss involves mostly subcutaneous fat, leaving the abdominal fat, which is metabolically active in increasing inflammation and cardiovascular risk, more intact [43]. Older people affected by multimorbidity patterns conformed by neuropsychiatric diseases have an increased risk of incident frailty, mainly due to their detrimental impact on their nutritional status, fatigue, engagement in physical activity, and muscle fitness [44]. Previous research from our group has also shown that cardiovascular and, even more prominently, neuropsychiatric multimorbidity have a clear impact on functional decline and disability [21].…”
Section: Discussionmentioning
confidence: 99%
“…Interestingly, it has been observed that unintentional weight loss involves mostly subcutaneous fat, leaving the abdominal fat, which is metabolically active in increasing inflammation and cardiovascular risk, more intact [43]. Older people affected by multimorbidity patterns conformed by neuropsychiatric diseases have an increased risk of incident frailty, mainly due to their detrimental impact on their nutritional status, fatigue, engagement in physical activity, and muscle fitness [44]. Previous research from our group has also shown that cardiovascular and, even more prominently, neuropsychiatric multimorbidity have a clear impact on functional decline and disability [21].…”
Section: Discussionmentioning
confidence: 99%
“…Different multimorbidity patterns, characterized by the combination of cardiovascular, pulmonary, and neuropsychiatric diseases, have been defined [4]. These patterns are differentially associated with health outcomes, confirming that the effects of multimorbidity are strictly dependent on the underlying diseases combinations [5,6].…”
Section: Introductionmentioning
confidence: 87%
“…Classification is associated with unobserved groups of individuals called latent classes. This technique has often been used to identify multimorbidity patterns and their association with social determinants ( Jacob et al, 2020 ; Tazzeo et al, 2021 ; Zhu et al, 2020 ).…”
Section: Methodsmentioning
confidence: 99%