Falls, fractures and trauma

Vass, Catherine D.; Sahota, Opinder; Drummond, Anne; Kendrick, Denise; Grainge, Matthew J.; Gladman, John; Sach, Tracey; Avis, Mark; O’Halloran, Aisling; King‐Kallimanis, Bellinda L.; Kenny, RoseAnne; Kumar, Arun; Carpenter, Hannah; Morris, Rosie; Iliffe, Steve; Bamford, Claire; Parry, SW; Deary, Vincent; Finch, Tracy; Cronin, Hilary; O’Regan, Claire; Kearney, PM; Sutton, Greg; Hussain, Rizal M; Bhangu, Jaspreet; Cunningham, Clodagh; Duggan, Eoin; Finucane, Ciarán; Loughman, James; Horgan, Frances; Shipway, David; Shipway, M. D. H.; Shah, Mamta; Jenkin, Rodric; Wang, Q.; Chua, Elise

doi:10.1093/ageing/aft019

Cited by 2 publications

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“…The severity of frailty is then categorized by simply summing the number of these phenotypes (e.g., "frail" is defined as the presence of at least three phenotypes). Although these protocols to characterize frailty phenotypes have been validated and implemented in clinics, little is known about the associations between the underlying neurophysiological procedures and these frailty phenotypes (Savva et al, 2013;Donoghue et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults

Jiang

Zhou

et al. 2023

Front. Aging Neurosci.

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BackgroundOlder adults oftentimes suffer from the conditions in multiple physiologic systems, interfering with their daily function and thus contributing to physical frailty. The contributions of such multisystem conditions to physical frailty have not been well characterized.MethodsIn this study, 442 (mean age = 71.4 ± 8.1 years, 235 women) participants completed the assessment of frailty syndromes, including unintentional weight loss, exhaustion, slowness, low activity, and weakness, and were categorized into frail (≥3 conditions), pre-frail (1 or 2 conditions), and robust (no condition) status. Multisystem conditions including cardiovascular diseases, vascular function, hypertension, diabetes, sleep disorders, sarcopenia, cognitive impairment, and chronic pain were assessed. Structural equation modeling examined the interrelationships between these conditions and their associations with frailty syndromes.ResultsFifty (11.3%) participants were frail, 212 (48.0%) were pre-frail, and 180 (40.7%) were robust. We observed that worse vascular function was directly associated with higher risk of slowness [standardized coefficient (SC) = −0.419, p < 0.001], weakness (SC = −0.367, p < 0.001), and exhaustion (SC = −0.347, p < 0.001). Sarcopenia was associated with both slowness (SC = 0.132, p = 0.011) and weakness (SC = 0.217, p = 0.001). Chronic pain, poor sleep quality, and cognitive impairment were associated with exhaustion (SC = 0.263, p < 0.001; SC = 0.143, p = 0.016; SC = 0.178, p = 0.004, respectively). The multinomial logistic regression showed that greater number of these conditions were associated with increased probability of being frail (odds ratio>1.23, p < 0.032).ConclusionThese findings in this pilot study provide novel insights into how multisystem conditions are associated with each other and with frailty in older adults. Future longitudinal studies are warranted to explore how the changes in these health conditions alter frailty status.

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Section: Introductionmentioning

confidence: 99%