Literature DB >> 15027038

Assessing the cognitive abilities that differentiate patients with Alzheimer's disease from normals: single and multiple factor models.

Raymond L Ownby1, David A Loewenstein, Lynn Schram, Amarilis Acevedo.   

Abstract

BACKGROUND: Understanding the structure of cognitive abilities in Alzheimer's disease (AD) has considerable practical and theoretical importance. Some investigators have argued that a single cognitive process underlies the deficits seen in AD, while others have argued for multiple cognitive processes. As deficits in cognitive abilities may reflect the pathological process or processes occurring in AD, determination of the structure of abilities in AD is important.
OBJECTIVES: The purpose of this study was to assess the utility of single and multiple ability factor models in differentiating patients with AD from normals.
RESULTS: Findings show that although a single factor model accounts for a large part of the variability of a battery of measures used to differentiate patients and normals, a multiple factor model performed substantially better based on multiple fit criteria.
CONCLUSIONS: At least in this sample, a multiple ability factor model of cognitive abilities fit data better than a single factor model in differentiating patients with AD from normals. Copyright 2004 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2004        PMID: 15027038     DOI: 10.1002/gps.1056

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  5 in total

1.  Cognitive Variability Predicts Incident Alzheimer's Disease and Mild Cognitive Impairment Comparable to a Cerebrospinal Fluid Biomarker.

Authors:  Carey E Gleason; Derek Norton; Eric D Anderson; Michelle Wahoske; Danielle T Washington; Emre Umucu; Rebecca L Koscik; N Maritza Dowling; Sterling C Johnson; Cynthia M Carlsson; Sanjay Asthana
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

2.  Latent structure of cognitive performance in the adult children study.

Authors:  Denise Head; Samantha Allison; Nathaniel Lucena; Jason Hassenstab; John C Morris
Journal:  J Clin Exp Neuropsychol       Date:  2016-11-20       Impact factor: 2.475

3.  Cognitive profiles in dementia: Alzheimer disease vs healthy brain aging.

Authors:  D K Johnson; M Storandt; J C Morris; Z D Langford; J E Galvin
Journal:  Neurology       Date:  2008-11-25       Impact factor: 9.910

4.  Cognitive variability-A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative.

Authors:  Eric D Anderson; Michelle Wahoske; Mary Huber; Derek Norton; Zhanhai Li; Rebecca L Koscik; Emre Umucu; Sterling C Johnson; Jana Jones; Sanjay Asthana; Carey E Gleason
Journal:  Alzheimers Dement (Amst)       Date:  2016-05-26

5.  Establishing robust cognitive dimensions for characterization and differentiation of patients with Alzheimer's disease, mild cognitive impairment, frontotemporal dementia and depression.

Authors:  Irene R Beck; Nicole S Schmid; Manfred Berres; Andreas U Monsch
Journal:  Int J Geriatr Psychiatry       Date:  2013-11-14       Impact factor: 3.485

  5 in total

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