Sargent L, Brown R
L. Sargent, Candidate at Medical University of South Carolina, Faculty of Virginia Commonwealth University, School of Nursing, Richmond, VA, USA,
J Nutr Health Aging. 2017;21(2):152-160. doi: 10.1007/s12603-016-0735-9.
Currently, an estimated 25-30% of people ages 85 or older have dementia, with a projected 115 million people worldwide living with dementia by 2050. With this worldwide phenomenon fast approaching, early detection of at-risk older adults and development of interventions focused on preventing loss in quality of life are increasingly important. A new construct defined by the International Consensus Group (I.A.N.A/I.A.G.G) as «cognitive frailty» combines domains of physical frailty with cognitive impairment and provides a framework for research that may provide a means to identify individuals with cognitive impairment caused by nonneurodegenerative conditions. Using the integrative review method of Whittemore and Knafl., 2005 this study examines and appraises the optimal measures for detecting cognitive frailty in clinical populations of older adults.
The integrative review was conducted using PubMed, CINAHL, Web of Science, PsycInfo, and ProQuest Dissertations and Theses. From the total 185 articles retrieved, review of titles and key words were conducted. Following the initial review, 168 articles did not meet the inclusion criteria for association of frailty and cognition. Of the 18 fulltext articles reviewed, 11 articles met the inclusion criteria; these articles were reviewed in-depth to determine validity and reliability of the cognitive frailty measures.
Predictive validity was established by the studies reviewed in four main areas: frailty and type of dementia MCI (OR 7.4, 95% CI 4.2-13.2), vascular dementia (OR 6.7, 95% CI 1.6-27.4) and Alzheimer's dementia (OR 3.2, 95% CI 1.7-6.2), frailty and vascular dementia (VaAD) is further supported by the rate of change in frailty x macroinfarcts (r = 0.032, p < 0.001); frailty and the individual domains of cognitive function established with the relationship of neurocognitive speed and change in cognition using regression coefficients; individual components of frailty and individual domains of cognitive function associations inculded slow gait and executive function (β -0.20, p < 0.008 ), attention (β -0.25 p < 0.008), processing speed (β -0.16, p < 0.008), word recall (β - 0.18, p = 0.02), and logical memory (β = 0.04, p =0.04). Weak grip was predictive for changes in executive function (β - 0.16, p =0.008). Physical activity was associated with changes in executive function (β = -0.18, p= 0.02) and word recall (β = 0.17, p= 0.02), individual components of frailty and global cognitive function were found in several studies which included grip strength (r = - 0.51, p < 0.001), gait speed (r = - 0.067, p < 0.001), and exhaustion (β - 0.18, p < 0.008).
This paper presents the first-known review of the measurement properties for the cognitive frailty construct since the published results from the International Consensus Group (I.A.N.A/I.A.G.G). Evidence presented in this review continues to support the link between physical frailty and cognition with developing validity to support distinct relationships between components of physical frailty and cognitive decline. Results call attention to inconsistencies in reporting of reliability, validity, and heterogeneity in the measurements and operational definition for cognitive frailty. Further research is needed to establish an operational definition and develop psychometrically appropriate clinical measures to construct an understanding of the relationship between physical frailty and cognitive decline.
目前,估计85岁及以上的人群中有25%-30%患有痴呆症,预计到2050年全球将有1.15亿痴呆症患者。随着这一全球现象的迅速临近,早期发现高危老年人并制定旨在防止生活质量下降的干预措施变得越来越重要。国际共识小组(I.A.N.A/I.A.G.G)定义的一种新结构“认知衰弱”将身体衰弱领域与认知障碍相结合,为研究提供了一个框架,该研究可能提供一种手段来识别由非神经退行性疾病引起的认知障碍个体。本研究采用Whittemore和Knafl.(2005年)的综合评价方法,对老年临床人群中检测认知衰弱的最佳措施进行了研究和评估。
使用PubMed、CINAHL、科学网、PsycInfo和ProQuest学位论文数据库进行综合评价。从检索到的185篇文章中,对标题和关键词进行了审查。初步审查后,168篇文章不符合衰弱与认知关联的纳入标准。在审查的18篇全文文章中,11篇文章符合纳入标准;对这些文章进行了深入审查,以确定认知衰弱测量方法的有效性和可靠性。
在四个主要领域的研究确立了预测效度:衰弱与痴呆症MCI类型(比值比7.4,95%置信区间4.2-13.2)、血管性痴呆(比值比6.7,95%置信区间1.6-27.4)和阿尔茨海默病性痴呆(比值比3.2,95%置信区间1.7-6.2),衰弱与血管性痴呆(VaAD)进一步得到衰弱x大面积梗死变化率的支持(r = 0.032,p < 0.001);衰弱与认知功能的各个领域通过使用回归系数建立了神经认知速度与认知变化的关系;衰弱的个体成分与认知功能的各个领域的关联包括步态缓慢和执行功能(β -0.20,p < 0.008)、注意力(β -0.25,p < 0.008)、处理速度(β -0.16,p < 0.008)、单词回忆(β - 0.18,p = 0.02)和逻辑记忆(β = 0.04, p =0.04)。握力弱可预测执行功能的变化(β - 0.16,p =0.008)。身体活动与执行功能的变化(β = -0.18,p= 0.02)和单词回忆(β = 0.17,p= 0.02)相关,在多项研究中发现了衰弱的个体成分与整体认知功能的关系,其中包括握力(r = - 0.51,p < 0.001)、步速(r = - 0.067,p < 0.001)和疲惫感(β - 0.18,p < 0.008)。
本文是自国际共识小组(I.A.N.A/I.A.G.G)发表结果以来对认知衰弱结构测量特性的首次已知综述。本综述中提供的证据继续支持身体衰弱与认知之间的联系,并发展了有效性以支持身体衰弱成分与认知衰退之间的独特关系。结果提醒人们注意认知衰弱测量和操作定义在可靠性、有效性和异质性报告方面的不一致性。需要进一步研究来建立操作定义并开发心理测量上合适的临床测量方法,以构建对身体衰弱与认知衰退之间关系的理解。