Neuropsychological test performance and cognitive reserve in healthy aging and the Alzheimer's disease spectrum: A theoretically driven factor analysis

Meghan B. Mitchell, Lynn W. Shaughnessy, Steven D. Shirk, Frances M. Yang, Alireza Atri

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Abstract Accurate measurement of cognitive function is critical for understanding the disease course of Alzheimer's disease (AD). Detecting cognitive change over time can be confounded by level of premorbid intellectual function or cognitive reserve and lead to under- or over-diagnosis of cognitive impairment and AD. Statistical models of cognitive performance that include cognitive reserve can improve sensitivity to change and clinical efficacy. We used confirmatory factor analysis to test a four-factor model composed of memory/language, processing speed/executive function, attention, and cognitive reserve factors in a group of cognitively healthy older adults and a group of participants along the spectrum of amnestic mild cognitive impairment to AD (aMCI-AD). The model showed excellent fit for the control group (χ2 = 100; df = 78; CFI =.962; RMSEA =.049) and adequate fit for the aMCI-AD group (χ2 = 1750; df = 78; CFI =.932; RMSEA =.085). Although strict invariance criteria were not met, invariance testing to determine if factor structures are similar across groups yielded acceptable absolute model fits and provide evidence in support of configural, metric, and scalar invariance. These results provide further support for the construct validity of cognitive reserve in healthy and memory impaired older adults. (JINS, 2012, 18, 1-10)

Original languageEnglish (US)
Pages (from-to)1071-1080
Number of pages10
JournalJournal of the International Neuropsychological Society
Volume18
Issue number6
DOIs
StatePublished - Nov 2012

Fingerprint

Cognitive Reserve
Neuropsychological Tests
Statistical Factor Analysis
Alzheimer Disease
Executive Function
Statistical Models
Cognition
Language
Control Groups
Cognitive Dysfunction

Keywords

  • Brain reserve
  • Cognition
  • Dementia
  • Executive function
  • Memory function
  • Mild cognitive impairment

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Psychology
  • Clinical Neurology
  • Psychiatry and Mental health

Cite this

Neuropsychological test performance and cognitive reserve in healthy aging and the Alzheimer's disease spectrum : A theoretically driven factor analysis. / Mitchell, Meghan B.; Shaughnessy, Lynn W.; Shirk, Steven D.; Yang, Frances M.; Atri, Alireza.

In: Journal of the International Neuropsychological Society, Vol. 18, No. 6, 11.2012, p. 1071-1080.

Research output: Contribution to journalArticle

Mitchell, Meghan B. ; Shaughnessy, Lynn W. ; Shirk, Steven D. ; Yang, Frances M. ; Atri, Alireza. / Neuropsychological test performance and cognitive reserve in healthy aging and the Alzheimer's disease spectrum : A theoretically driven factor analysis. In: Journal of the International Neuropsychological Society. 2012 ; Vol. 18, No. 6. pp. 1071-1080.
@article{952e5850241142e6a1bb772fa5a83be3,
title = "Neuropsychological test performance and cognitive reserve in healthy aging and the Alzheimer's disease spectrum: A theoretically driven factor analysis",
abstract = "Abstract Accurate measurement of cognitive function is critical for understanding the disease course of Alzheimer's disease (AD). Detecting cognitive change over time can be confounded by level of premorbid intellectual function or cognitive reserve and lead to under- or over-diagnosis of cognitive impairment and AD. Statistical models of cognitive performance that include cognitive reserve can improve sensitivity to change and clinical efficacy. We used confirmatory factor analysis to test a four-factor model composed of memory/language, processing speed/executive function, attention, and cognitive reserve factors in a group of cognitively healthy older adults and a group of participants along the spectrum of amnestic mild cognitive impairment to AD (aMCI-AD). The model showed excellent fit for the control group (χ2 = 100; df = 78; CFI =.962; RMSEA =.049) and adequate fit for the aMCI-AD group (χ2 = 1750; df = 78; CFI =.932; RMSEA =.085). Although strict invariance criteria were not met, invariance testing to determine if factor structures are similar across groups yielded acceptable absolute model fits and provide evidence in support of configural, metric, and scalar invariance. These results provide further support for the construct validity of cognitive reserve in healthy and memory impaired older adults. (JINS, 2012, 18, 1-10)",
keywords = "Brain reserve, Cognition, Dementia, Executive function, Memory function, Mild cognitive impairment",
author = "Mitchell, {Meghan B.} and Shaughnessy, {Lynn W.} and Shirk, {Steven D.} and Yang, {Frances M.} and Alireza Atri",
year = "2012",
month = "11",
doi = "10.1017/S1355617712000859",
language = "English (US)",
volume = "18",
pages = "1071--1080",
journal = "Journal of the International Neuropsychological Society",
issn = "1355-6177",
publisher = "Cambridge University Press",
number = "6",

}

TY - JOUR

T1 - Neuropsychological test performance and cognitive reserve in healthy aging and the Alzheimer's disease spectrum

T2 - A theoretically driven factor analysis

AU - Mitchell, Meghan B.

AU - Shaughnessy, Lynn W.

AU - Shirk, Steven D.

AU - Yang, Frances M.

AU - Atri, Alireza

PY - 2012/11

Y1 - 2012/11

N2 - Abstract Accurate measurement of cognitive function is critical for understanding the disease course of Alzheimer's disease (AD). Detecting cognitive change over time can be confounded by level of premorbid intellectual function or cognitive reserve and lead to under- or over-diagnosis of cognitive impairment and AD. Statistical models of cognitive performance that include cognitive reserve can improve sensitivity to change and clinical efficacy. We used confirmatory factor analysis to test a four-factor model composed of memory/language, processing speed/executive function, attention, and cognitive reserve factors in a group of cognitively healthy older adults and a group of participants along the spectrum of amnestic mild cognitive impairment to AD (aMCI-AD). The model showed excellent fit for the control group (χ2 = 100; df = 78; CFI =.962; RMSEA =.049) and adequate fit for the aMCI-AD group (χ2 = 1750; df = 78; CFI =.932; RMSEA =.085). Although strict invariance criteria were not met, invariance testing to determine if factor structures are similar across groups yielded acceptable absolute model fits and provide evidence in support of configural, metric, and scalar invariance. These results provide further support for the construct validity of cognitive reserve in healthy and memory impaired older adults. (JINS, 2012, 18, 1-10)

AB - Abstract Accurate measurement of cognitive function is critical for understanding the disease course of Alzheimer's disease (AD). Detecting cognitive change over time can be confounded by level of premorbid intellectual function or cognitive reserve and lead to under- or over-diagnosis of cognitive impairment and AD. Statistical models of cognitive performance that include cognitive reserve can improve sensitivity to change and clinical efficacy. We used confirmatory factor analysis to test a four-factor model composed of memory/language, processing speed/executive function, attention, and cognitive reserve factors in a group of cognitively healthy older adults and a group of participants along the spectrum of amnestic mild cognitive impairment to AD (aMCI-AD). The model showed excellent fit for the control group (χ2 = 100; df = 78; CFI =.962; RMSEA =.049) and adequate fit for the aMCI-AD group (χ2 = 1750; df = 78; CFI =.932; RMSEA =.085). Although strict invariance criteria were not met, invariance testing to determine if factor structures are similar across groups yielded acceptable absolute model fits and provide evidence in support of configural, metric, and scalar invariance. These results provide further support for the construct validity of cognitive reserve in healthy and memory impaired older adults. (JINS, 2012, 18, 1-10)

KW - Brain reserve

KW - Cognition

KW - Dementia

KW - Executive function

KW - Memory function

KW - Mild cognitive impairment

UR - http://www.scopus.com/inward/record.url?scp=84870184186&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870184186&partnerID=8YFLogxK

U2 - 10.1017/S1355617712000859

DO - 10.1017/S1355617712000859

M3 - Article

C2 - 23039909

AN - SCOPUS:84870184186

VL - 18

SP - 1071

EP - 1080

JO - Journal of the International Neuropsychological Society

JF - Journal of the International Neuropsychological Society

SN - 1355-6177

IS - 6

ER -