Percorrer por autor "Hemadeh, Ali"
A mostrar 1 - 3 de 3
Resultados por página
Opções de ordenação
- Association between cognitive reserve proxies and frailty phenotype: data from UK BiobankPublication . Lorenzo-López, Laura; Cibeira, Nuria; Hemadeh, Ali; López-López, Rocío; Lema-Arranz, Carlota; Maseda, Ana; Fernández-Bertólez, Natalia; Costa, Solange; Pásaro, Eduardo; Valdiglesias, Vanessa; Millán-Calenti, José C; Laffon, BlancaA potential protective role of cognitive reserve proxies against frailty has been suggested in older adults. We explored the cross-sectional association between cognitive reserve indicators and frailty phenotype. Data were obtained from the UK Biobank. We included 31,975 dementia-free participants aged ≥ 60 years (50.7% females, 2.2% frail) who completed a web-based cognitive assessment (fluid intelligence, working memory, visuospatial attention and processing speed, and executive functioning). Frailty was defined according to the Fried's phenotype (unintentional weight loss, exhaustion, low physical activity, slowness, and weakness). Participants meeting three or more criteria were classified as frail. Cognitive performance was compared between nonfrail and frail groups, and regression models were employed to analyze the associations between cognitive reserve proxies (education, skill level of occupation, social support, and multiple deprivation index (MDI)) and the likelihood of frailty. Frail and nonfrail groups significantly differed on cognitive function, with frail individuals demonstrating poorer performance on all cognitive functions (all p < .05) except fluid intelligence. Regression analysis showed that, after adjusting for age and sex, a lower educational level (odds ratio (OR) .797, 95% confidence interval (CI) .673-.944, p = .009), having maintained occupations with low cognitive requirements (OR .790, 95% CI .668-.936, p = .006), having less social support (OR .755, 95% CI .631-.903, p = .002), and living in a region with a high rate of multiple deprivation (OR 1.025, 95% CI 1.019-1.031, p < .001), significantly increased the probability of experiencing frailty. Our findings support the relationship between declined cognitive functions and frailty emphasizing the importance of implementing public health measures to enhance cognitive reserve.
- Association of inflammatory biomarkers with physical and cognitive frailty in a Spanish population of older adultsPublication . Lema-Arranz, Carlota; Hemadeh, Ali; Fernández-Bertólez, Natalia; Cibeira, Nuria; López-López, Rocío; Costa, Solange; Millán-Calenti, José Carlos; Lorenzo-López, Laura; Valdiglesias, Vanessa; Laffon, BlancaFrailty is a multifactorial geriatric syndrome characterized by increased vulnerability to stressors and associated with a higher risk of adverse health outcomes. Chronic low-grade inflammation has been proposed as a key pathophysiological mechanism underlying physical frailty, although its role in cognitive frailty remains undefined. In this cross-sectional study, we assessed the relationship between frailty status, both physical and cognitive, and plasma concentrations of six inflammatory biomarkers-C-reactive protein (CRP), interleukin 6 (IL-6), tumour necrosis factor alpha (TNF-α), soluble TNF-α receptor type II (sTNF-RII), high-temperature requirement serine protease A1 (HTRA1), and growth differentiation factor 15 (GDF15)-in a cohort of Spanish older adults (N = 150, ≥ 65 years old), classified according to Fried's frailty phenotype and frailty index. The results showed notable differences between frailty phenotype and frailty index, and highlighted CRP, TNF-α, sTNF-RII, and GDF15 as key biomarkers significantly associated with physical frailty status, with CRP and TNF-α also discriminating pre-frail individuals. sTNF-RII stood out for its high predictive capacity, while GDF15 added value as an indicator of sustained cellular stress. Regarding cognitive frailty, CRP, TNF-α, and GDF15 displayed significant associations with this condition. sTNF-RII and HTRA1, scarcely studied in this context, showed promising and significant associations (specific for cognitive frailty in the case of HTRA1) that justify their inclusion in future research aimed at better understanding the inflammatory mechanisms involved in cognitive frailty.
- Lifestyle, environment and other major determinants of frailty in older adults: a population-based study from the UK BiobankPublication . Hemadeh, Ali; Lema-Arranz, Carlota; Bonassi, Stefano; Buscarini, Leonardo; Infarinato, Francesco; Romano, Paola; Finti, Alessia; Marinozzi, Franco; Bini, Fabiano; Fernández-Bertólez, Natalia; Teixeira, João Paulo; Lorenzo-López, Laura; Valdiglesias, Vanessa; Laffon, BlancaFrailty is a geriatric multidimensional syndrome characterized by a loss of physiologic reserves and disproportionate vulnerability to external stressors and associated with increased risk of multiple negative health outcomes. Since frailty can be prevented, controlled, and even reverted in its early stages, identifying the main factors involved in its development is crucial to implement preventive and/or restorative interventions. The aim of this study was to assess the impact of a broad range of parameters, including host factors, lifestyle, diet, and environmental and occupational conditions, on the development of frailty in later life. A cross-sectional study was conducted on 221,896 individuals aged 60 and over classified as non-frail (119,332, 53.8%), pre-frail (93,180, 42.0%), and frail (9384, 4.2%) according to the frailty phenotype. Using principal component analysis and machine learning to streamline the data, significant associations were found between frailty risk and air quality, diet, smoking, working conditions, and heavy alcohol consumption. Early-life factors, including breastfed as a baby and maternal smoking around birth, also emerged as predictors of frailty, which was further characterized by clinical indicators like polypharmacy, levels of C-reactive protein and other biomarkers of inflammageing. This study provided robust and original evidence on the association between a large battery of potential risk factors, from early to later stages of life, and the occurrence of frailty in older age. These results will contribute to the development of effective prevention strategies and facilitate the early detection of individuals at high risk of developing frailty.
