Zhou Jianlong, Li Yadi, Zhu Lv, Yue Rensong
Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Clinical Medical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Front Aging Neurosci. 2024 Sep 5;16:1458542. doi: 10.3389/fnagi.2024.1458542. eCollection 2024.
As the population ages, the occurrence of cognitive decline and dementia is continuously increasing. Frailty is a prevalent problem among older adults. Epidemiologic studies have shown a comorbidity between frailty and cognitive impairment. However, their relationship remains unclear. The frailty index is an important indicator for measuring frailty. This study aims to investigate the relationship between frailty index and cognitive dysfunction in older adults aged 60 years and older in the United States from the 2011-2014 National Health and Nutrition Examination Survey (NHANES).
Community-dwelling older adults aged 60 years or older from 2011 to 2014 were extracted from the NHANES database. The frailty index was calculated using the formula: frailty index = total number of deficits present/total number of deficits measured. The Animal Fluency (AF), the Digit Symbol Substitution Test (DSST), the Consortium to Establish a Registry for Alzheimer's disease Delayed Recall (CERAD-DR), and Word Learning (CERAD-WL) were used to evaluate cognitive dysfunction. Firstly, weighted logistic regression analysis was used to explore the relationship between frailty index and cognitive dysfunction. Secondly, the influence of covariates on the frailty index was evaluated by subgroup analysis and interaction. Finally, the non-linear relationship is discussed by using the restricted cubic spline regression model.
Our study included a total of 2,574 patients, weighted logistic regression analysis, after adjusting for all covariates, showed that the frailty index was associated with every test score. The interaction showed that covariates had no significant effect on this association in AF. The association between the frailty index and AF in the restricted cubic spline regression model is non-linear. As the frailty index increased, the risk of AF reduction increased, suggesting a higher risk of cognitive dysfunction.
In general, a high frailty index appears to be associated with an increased risk of cognitive dysfunction in the elderly. Consequently, protecting against cognitive decline necessitates making geriatric frailty prevention and treatment top priorities.
随着人口老龄化,认知能力下降和痴呆症的发生率不断上升。衰弱是老年人中普遍存在的问题。流行病学研究表明衰弱与认知障碍之间存在共病现象。然而,它们之间的关系仍不明确。衰弱指数是衡量衰弱的重要指标。本研究旨在利用2011 - 2014年美国国家健康与营养检查调查(NHANES),调查60岁及以上美国老年人的衰弱指数与认知功能障碍之间的关系。
从NHANES数据库中提取2011年至2014年居住在社区的60岁及以上老年人。使用公式计算衰弱指数:衰弱指数 = 存在的缺陷总数/测量的缺陷总数。采用动物流畅性测试(AF)、数字符号替换测试(DSST)、阿尔茨海默病注册协会延迟回忆测试(CERAD - DR)和单词学习测试(CERAD - WL)评估认知功能障碍。首先,采用加权逻辑回归分析探讨衰弱指数与认知功能障碍之间的关系。其次,通过亚组分析和交互作用评估协变量对衰弱指数的影响。最后,使用受限立方样条回归模型讨论非线性关系。
我们的研究共纳入2574例患者,加权逻辑回归分析在调整所有协变量后显示,衰弱指数与各项测试得分均相关。交互作用表明,协变量对AF中的这种关联无显著影响。受限立方样条回归模型中衰弱指数与AF之间的关联是非线性的。随着衰弱指数增加,AF降低的风险增加,提示认知功能障碍风险更高。
总体而言,高衰弱指数似乎与老年人认知功能障碍风险增加有关。因此,预防认知能力下降需要将老年衰弱的预防和治疗作为首要任务。