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Association Between Cognitive Abilities and Physical Functional Status in a Sample of Non-Demented Community-Dwelling Older Adults.

机译:在非胶粘的社区居住老年人中,认知能力与身体机能状态之间的关联。

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Multiple cross-sectional studies have shown a positive association between cognitive decline and physical functional decline in demented older adults, and new research has begun to look at the temporal ordering of decline in physical and cognitive functioning prior to and following physical disability and diagnoses of mild cognitive impairment (MCI) or dementia. With the physical and mental health fields moving toward a preventative treatment approach, it will be necessary to identify modifiable factors that influence progression to physical disability and dementia in older populations. Due to difficulties recruiting older adults for clinical research trials, the inequitable geographic distribution of clinical research trials for older adults, and limitations imposed by financial problems on many of the nation's elderly, it will be important to identify clinical interventions that can be implemented by clinicians across a broad array of clinical settings. In addition, because of increasing job commands faced by many of today's clinicians, future research must provide improved metrics for the clinical assessment of cognitive and physical functioning in everyday clinical settings in ways that are not only efficacious, but also efficient and cost-effective. However, our current understanding of the association between physical functioning and cognitive status is insufficient. A gap in the existing literature exists with regard to the interplay between cognitive functioning and physical proficiency in the absence of pathology. Little research has examined the association between cognitive and physical functioning in cognitively and physically healthy older adults. What is also unclear is how the variance in demographic variables (age, gender, years of education) affects the association between cognition and physical proficiency. The present study used retrospective data from the National Alzheimer's Coordinating Center (NACC), a national database of data from participants participating in ongoing standardized clinical research at the nearly 30 Alzheimer Disease Centers (ADCs) nationwide. Data from 119 cognitively healthy, community-dwelling older adults were analyzed using confirmatory factor analyses (CFA) within a structural equation modeling (SEM) format. First, one-factor models evaluated cognitive functioning and physical functional speed as two individual latent constructs. Cognitive functioning was defined with four reflective indicators: Category Fluency -- Animals, Stroop Color Naming, Digit Symbol, and Block Design. Physical functional speed was defined as a latent factor with five reflective indicators: Step Test, Time Up and Go, Walk 50 Feet, and 5-Second Chair Rise. Both one-factor models had adequate model fit, with all indicators significantly loading on their respective factors. A two-factor model then examined the relationship between the two latent constructs, and fit indices showed adequate model fit. The final model included multiple indicators multiple causes (MIMIC) to examine the moderating effects of three indicators (age, gender, and years of education) on the strength of the relationship between cognitive functioning and physical functional speed and overall model fit. After adjusting for covariates, model estimates were smaller but still demonstrated acceptable model fit. Finally, Differential Item Functioning (DIF) was employed to examine direct effects of covariates on specific indicators selected based on modification indices. Findings from the present study demonstrate an association between cognition and physical functioning without evidence of pathology, and highlight the ways in which the interplay between both factors are affected by demographic characteristics. The study also illustrates a parsimonious way of assessing for cognitive status and physical ability in older adult populations. These findings are significant as they contribute to the improved understanding of the interplay between physical and cognitive health among older adult populations. This information serves to better inform research directed toward better defining characteristics of the normal aging process, improving interventions for cognitive and physical functional decline, and continuing existing efforts to maximize the overall functioning of older adults.
机译:多项横断面研究表明,痴呆的老年人认知能力下降与身体机能衰退之间存在正相关关系,新研究已开始着眼于身体残疾和轻度诊断前后身体和认知功能衰退的时间顺序认知障碍(MCI)或痴呆。随着身体和精神健康领域朝着预防性治疗的方向发展,有必要找出影响老年人口身体残疾和痴呆症进展的可改变因素。由于招募老年人参加临床研究试验有困难,老年人临床研究试验的地域分布不均以及经济困难对美国许多老年人造成的限制,因此,确定可由临床医生实施的临床干预措施将非常重要。涵盖广泛的临床环境。此外,由于当今许多临床医生所面临的工作命令越来越多,因此,未来的研究必须以一种不仅有效而且高效且具有成本效益的方式,为日常临床环境中认知和身体功能的临床评估提供改进的指标。但是,我们目前对身体机能与认知状态之间关系的理解还不够。在缺乏病理学的情况下,现有文献在认知功能和身体熟练度之间的相互作用方面存在差距。很少有研究检查认知和身体健康的老年人的认知和身体机能之间的关系。还不清楚的是人口统计学变量(年龄,性别,受教育年限)的差异如何影响认知与身体熟练程度之间的关联。本研究使用了国家阿尔茨海默氏症协调中心(NACC)的回顾性数据,该数据库是来自参与全国近30个阿尔茨海默氏病中心(ADC)正在进行的标准化临床研究的参与者的数据的国家数据库。使用结构方程模型(SEM)格式的验证性因子分析(CFA)对来自119名认知健康,居住在社区的老年人的数据进行了分析。首先,单因素模型将认知功能和身体功能速度评估为两个单独的潜在构造。认知功能由四个反射性指标定义:类别流畅性-动物,Stroop颜色命名,数字符号和模块设计。身体功能速度被定义为具有五个反射性指标的潜在因素:步测,起跑和起步,步行50英尺和5秒椅子上升。两种单因素模型均具有足够的模型拟合度,所有指标均显着加重了各自的因素。然后,两因素模型检查了两个潜在构造之间的关系,拟合指数显示了足够的模型拟合。最终模型包括多指标多原因(MIMIC),以检验三个指标(年龄,性别和受教育年限)对认知功能与身体功能速度之间的关系以及整体模型拟合的强度的调节作用。调整协变量后,模型估计值较小,但仍显示可接受的模型拟合。最后,使用差分项功能(DIF)来检查协变量对基于修饰指数选择的特定指标的直接影响。本研究的发现表明,在没有病理证据的情况下,认知与身体机能之间存在关联,并强调了人口统计学特征影响这两个因素之间相互作用的方式。这项研究还说明了一种评估老年人口的认知状态和身体能力的简约方法。这些发现意义重大,因为它们有助于增进对老年人群身体与认知健康之间相互作用的理解。这些信息有助于更好地指导旨在更好地定义正常衰老过程的特征的研究,改善对认知和身体功能下降的干预措施,并继续进行现有的努力以最大化老年人的整体功能。

著录项

  • 作者单位

    University of Kansas.;

  • 授予单位 University of Kansas.;
  • 学科 Counseling Psychology.;Aging.;Psychology.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 98 p.
  • 总页数 98
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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