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30 de ene. de 2024 · Cognitive frailty is characterized by the simultaneous presence of physical frailty and mild cognitive impairment (MCI) that does not fulfil the diagnostic criteria for dementia . MCR is a clinical condition that encompasses slowness of gait and subjective cognitive complaints in the absence of cognitive impairment or disability [ 45 ].
Frailty markers included 5 of 6 markers specifically related to cognition and 6 of 12 markers associated with hypomobility. These overlapping sets of markers included ... While a total of 22 metabolites were identified relative to frailty, cognitive impairment, and hypomobility, levels of 16 compounds—acetyl-carnosine, ET, S-methyl-ET, OA ...
31 de may. de 2019 · Background: Long-term changes in (bio)markers for cognitive frailty are not well characterized. Therefore, our aim is to explore (bio)marker trajectories in adults who became cognitively frail ...
Abstract. In older adults, physical frailty and cognitive impairment contribute to adverse outcomes. However, the research on mechanisms underlying physical frailty and cognitive impairment is limited. Low-grade chronic inflammation is a characteristic of aging. Particularly, an imbalance in pro- and anti-inflammatory mechanisms may be involved ...
1 de nov. de 2013 · In parallel, usual physical frailty markers (such as weight loss and gait speed) should be assessed in persons exhibiting a cognitive decline, even if at early stages. Some markers may be able to well capture both the risk of future physical and cognitive declines, such as inflammatory biomarkers [e.g. C-reactive protein (CRP) and Interleukin-6 (IL-6)] ( 28 , 75 , 76. , 77. , 78.
9 de mar. de 2020 · Metabolomic markers may also contribute to the link between physical frailty and cognitive decline. Dysregulation of lipid metabolisms, such as higher phosphatidylcholine (PC) and lysophosphatidylcholine (LPC) levels, play a prominent role in age-related diseases such as dementia [ 176 , 177 ].
17 de ene. de 2024 · The sample consisted of 2722 adults aged 50 and over. Sleep duration and quality were assessed by self-report. Sleep trajectories were determined by applying growth mixture models. Mixed-effects logistic (mild cognitive impairment) and ordinal logistic (frailty), and Cox proportional hazards (all-cause mortality) models were fitted.
