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 Blanca
Gerontology and Geriatrics Research Group, Universidade da Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Departamento de Psicología, Universidade da Coruña, Grupo DICOMOSA, CICA-Centro Interdisciplinar de Química e Bioloxía, A Coruña, Spain.
Geroscience. 2025 Apr;47(2):1897-1910. doi: 10.1007/s11357-024-01382-y. Epub 2024 Oct 14.
A 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.
认知储备指标对老年人虚弱可能具有保护作用。我们探讨了认知储备指标与虚弱表型之间的横断面关联。数据来自英国生物银行。我们纳入了31975名年龄≥60岁且无痴呆症的参与者(女性占50.7%,虚弱者占2.2%),他们完成了一项基于网络的认知评估(流体智力、工作记忆、视觉空间注意力和处理速度以及执行功能)。虚弱根据弗里德表型定义(非故意体重减轻、疲惫、低体力活动、行动迟缓及虚弱)。符合三项或更多标准的参与者被归类为虚弱。比较了非虚弱组和虚弱组的认知表现,并采用回归模型分析认知储备指标(教育程度、职业技能水平、社会支持和多重剥夺指数(MDI))与虚弱可能性之间的关联。虚弱组和非虚弱组在认知功能上存在显著差异,虚弱个体在除流体智力外的所有认知功能上表现较差(所有p<0.05)。回归分析表明,在调整年龄和性别后,较低的教育水平(优势比(OR)0.797,95%置信区间(CI)0.673 - 0.944,p = 0.009)、从事认知要求低的职业(OR 0.790,95%CI 0.668 - 0.936,p = 0.006)、社会支持较少(OR 0.755,95%CI 0.631 - 0.903,p = 0.002)以及生活在多重剥夺率高的地区(OR 1.025,95%CI 1.019 - 1.031,p < 0.001),均显著增加了虚弱的可能性。我们的研究结果支持认知功能下降与虚弱之间的关系,强调了实施公共卫生措施以增强认知储备的重要性。