Intraindividual Variability across Neuropsychological Tests: Dispersion and Disengaged Lifestyle Increase Risk for Alzheimer’s Disease

Objective: Increased intraindividual variability (IIV) in function has been linked to various age-related outcomes including cognitive decline and dementia. Most studies have operationalized IIV as fluctuations across trials (e.g., response latencies) for a single task, with comparatively few studie...

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Main Authors: Drew W. R. Halliday, Robert S. Stawski, Eric S. Cerino, Correne A. DeCarlo, Karl Grewal, Stuart W. S. MacDonald
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Journal of Intelligence
Subjects:
Online Access:http://www.mdpi.com/2079-3200/6/1/12
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spelling doaj-10a39a25a2c1451fb5954972986e99972020-11-24T22:02:26ZengMDPI AGJournal of Intelligence2079-32002018-03-01611210.3390/jintelligence6010012jintelligence6010012Intraindividual Variability across Neuropsychological Tests: Dispersion and Disengaged Lifestyle Increase Risk for Alzheimer’s DiseaseDrew W. R. Halliday0Robert S. Stawski1Eric S. Cerino2Correne A. DeCarlo3Karl Grewal4Stuart W. S. MacDonald5Department of Psychology, University of Victoria, Victoria, BC V8P 5C2, CanadaSchool of Social and Behavioral Health Sciences, Oregon State University, Corvallis, OR 97331, USASchool of Social and Behavioral Health Sciences, Oregon State University, Corvallis, OR 97331, USADepartment of Psychology, University of Victoria, Victoria, BC V8P 5C2, CanadaDepartment of Psychology, University of Victoria, Victoria, BC V8P 5C2, CanadaDepartment of Psychology, University of Victoria, Victoria, BC V8P 5C2, CanadaObjective: Increased intraindividual variability (IIV) in function has been linked to various age-related outcomes including cognitive decline and dementia. Most studies have operationalized IIV as fluctuations across trials (e.g., response latencies) for a single task, with comparatively few studies examining variability across multiple tasks for a given individual. In the present study, we derive a multivariable operationalization of dispersion across a broad profile of neuropsychological measures and use this index along with degree of engaged lifestyle to predict risk of cognitive impairment. Participants and Methods: Participants (n = 60) were community-dwelling older adults aged 65+ years (M = 74.1, SD = 6.5) participating in a cross-sectional investigation of risk factors for amnestic mild cognitive impairment (a-MCI) and probable Alzheimer’s Disease (AD). Participants were classified into three subgroups based on test performance and clinical judgement. Healthy controls (n = 30) scored better than −1 SD relative to existing norms on all classification measures, in the absence of memory complaints or functional impairments. The a-MCI group (n = 23) had self- or informant-reported memory complaints and scored 1 SD or more below the mean for at least one memory task while scoring better than 1 SD below the mean for all other cognitive domains, in the absence of functional impairments. The AD group (n = 7) scored at least 2 SD below the mean for two cognitive domains (including memory) with impairments in functioning. Measures spanned a range of cognitive domains (episodic memory, executive function, language), with the derived dispersion estimates reflecting variability across an individual’s neuropsychological profile relative to the group average. Further, an Activities Lifestyle Questionnaire, indexing social, cognitive, and physical behaviors, was administered to assess the protective benefits of engaged lifestyle. Results: Multinomial logistic regression models examined the risk of being classified as a-MCI or AD as a function of increased dispersion, (dis)engaged lifestyle, and their interaction. Greater dispersion was associated with an increased likelihood of being classified with AD, with protective engaged-lifestyle benefits apparent for a-MCI individuals only. Conclusion: As a measure of IIV, dispersion across neuropsychological profiles holds promise for the detection of cognitive impairment.http://www.mdpi.com/2079-3200/6/1/12intraindividual variabilitydispersioncognitive impairmentmild cognitive impairmentAlzheimer’s Diseaseneuropsychological assessment
collection DOAJ
language English
format Article
sources DOAJ
author Drew W. R. Halliday
Robert S. Stawski
Eric S. Cerino
Correne A. DeCarlo
Karl Grewal
Stuart W. S. MacDonald
spellingShingle Drew W. R. Halliday
Robert S. Stawski
Eric S. Cerino
Correne A. DeCarlo
Karl Grewal
Stuart W. S. MacDonald
Intraindividual Variability across Neuropsychological Tests: Dispersion and Disengaged Lifestyle Increase Risk for Alzheimer’s Disease
Journal of Intelligence
intraindividual variability
dispersion
cognitive impairment
mild cognitive impairment
Alzheimer’s Disease
neuropsychological assessment
author_facet Drew W. R. Halliday
Robert S. Stawski
Eric S. Cerino
Correne A. DeCarlo
Karl Grewal
Stuart W. S. MacDonald
author_sort Drew W. R. Halliday
title Intraindividual Variability across Neuropsychological Tests: Dispersion and Disengaged Lifestyle Increase Risk for Alzheimer’s Disease
title_short Intraindividual Variability across Neuropsychological Tests: Dispersion and Disengaged Lifestyle Increase Risk for Alzheimer’s Disease
title_full Intraindividual Variability across Neuropsychological Tests: Dispersion and Disengaged Lifestyle Increase Risk for Alzheimer’s Disease
title_fullStr Intraindividual Variability across Neuropsychological Tests: Dispersion and Disengaged Lifestyle Increase Risk for Alzheimer’s Disease
title_full_unstemmed Intraindividual Variability across Neuropsychological Tests: Dispersion and Disengaged Lifestyle Increase Risk for Alzheimer’s Disease
title_sort intraindividual variability across neuropsychological tests: dispersion and disengaged lifestyle increase risk for alzheimer’s disease
publisher MDPI AG
series Journal of Intelligence
issn 2079-3200
publishDate 2018-03-01
description Objective: Increased intraindividual variability (IIV) in function has been linked to various age-related outcomes including cognitive decline and dementia. Most studies have operationalized IIV as fluctuations across trials (e.g., response latencies) for a single task, with comparatively few studies examining variability across multiple tasks for a given individual. In the present study, we derive a multivariable operationalization of dispersion across a broad profile of neuropsychological measures and use this index along with degree of engaged lifestyle to predict risk of cognitive impairment. Participants and Methods: Participants (n = 60) were community-dwelling older adults aged 65+ years (M = 74.1, SD = 6.5) participating in a cross-sectional investigation of risk factors for amnestic mild cognitive impairment (a-MCI) and probable Alzheimer’s Disease (AD). Participants were classified into three subgroups based on test performance and clinical judgement. Healthy controls (n = 30) scored better than −1 SD relative to existing norms on all classification measures, in the absence of memory complaints or functional impairments. The a-MCI group (n = 23) had self- or informant-reported memory complaints and scored 1 SD or more below the mean for at least one memory task while scoring better than 1 SD below the mean for all other cognitive domains, in the absence of functional impairments. The AD group (n = 7) scored at least 2 SD below the mean for two cognitive domains (including memory) with impairments in functioning. Measures spanned a range of cognitive domains (episodic memory, executive function, language), with the derived dispersion estimates reflecting variability across an individual’s neuropsychological profile relative to the group average. Further, an Activities Lifestyle Questionnaire, indexing social, cognitive, and physical behaviors, was administered to assess the protective benefits of engaged lifestyle. Results: Multinomial logistic regression models examined the risk of being classified as a-MCI or AD as a function of increased dispersion, (dis)engaged lifestyle, and their interaction. Greater dispersion was associated with an increased likelihood of being classified with AD, with protective engaged-lifestyle benefits apparent for a-MCI individuals only. Conclusion: As a measure of IIV, dispersion across neuropsychological profiles holds promise for the detection of cognitive impairment.
topic intraindividual variability
dispersion
cognitive impairment
mild cognitive impairment
Alzheimer’s Disease
neuropsychological assessment
url http://www.mdpi.com/2079-3200/6/1/12
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