Literature DB >> 18720183

Intraindividual variability across cognitive domains: investigation of dispersion levels and performance profiles in older adults.

Jennifer V Hilborn1, Esther Strauss, David F Hultsch, Michael A Hunter.   

Abstract

A growing body of research suggests that substantial variability exists among cognitive abilities within individuals. This within-person variability across cognitive domains is termed dispersion. The present study investigated the relationship between aging and dispersion of cognitive functions both quantitatively (overall levels of dispersion) and qualitatively (patterns of dispersion) in a sample of 304 nondemented, older adults aged 64 to 92 years (M = 74.02). Quantitatively, higher levels of dispersion were observed in the old-old adults (aged 75-92 years) and those identified as having experienced cognitive decline, suggesting that dispersion level may serve as a marker of cognitive integrity. Qualitatively, three distinct dispersion profiles were identified through clustering methods, and these were found to be related to demographic, health, and performance characteristics of the individuals, suggesting that patterns of dispersion may be meaningful indicators of individual differences.

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Year:  2009        PMID: 18720183     DOI: 10.1080/13803390802232659

Source DB:  PubMed          Journal:  J Clin Exp Neuropsychol        ISSN: 1380-3395            Impact factor:   2.475


  47 in total

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Journal:  Neuropsychology       Date:  2018-09-13       Impact factor: 3.295

4.  Cognitive dispersion is a sensitive marker for early neurodegenerative changes and functional decline in nondemented older adults.

Authors:  Katherine J Bangen; Alexandra J Weigand; Kelsey R Thomas; Lisa Delano-Wood; Lindsay R Clark; Joel Eppig; Madeleine L Werhane; Emily C Edmonds; Mark W Bondi
Journal:  Neuropsychology       Date:  2019-03-21       Impact factor: 3.295

5.  Changes in glycemic control are associated with changes in cognition in non-diabetic elderly.

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Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

6.  The nature and consequences of cognitive deficits among tobacco smokers with HIV: a comparison to tobacco smokers without HIV.

Authors:  Joseph D Harrison; Jessica A Dochney; Sonja Blazekovic; Frank Leone; David Metzger; Ian Frank; Robert Gross; Anita Hole; Karam Mounzer; Steven Siegel; Robert A Schnoll; Rebecca L Ashare
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7.  Mood is a key determinant of cognitive performance in community-dwelling older adults: a cross-sectional analysis.

Authors:  Nadine Correia Santos; Patrício Soares Costa; Pedro Cunha; Jorge Cotter; Adriana Sampaio; Joseph Zihl; Osborne F X Almeida; João J Cerqueira; Joana Almeida Palha; Nuno Sousa
Journal:  Age (Dordr)       Date:  2012-10-06

8.  Intraindividual variability in HIV infection: evidence for greater neurocognitive dispersion in older HIV seropositive adults.

Authors:  Erin E Morgan; Steven Paul Woods; Lisa Delano-Wood; Mark W Bondi; Igor Grant
Journal:  Neuropsychology       Date:  2011-09       Impact factor: 3.295

9.  Aerobic fitness and response variability in preadolescent children performing a cognitive control task.

Authors:  Chien-Ting Wu; Matthew B Pontifex; Lauren B Raine; Laura Chaddock; Michelle W Voss; Arthur F Kramer; Charles H Hillman
Journal:  Neuropsychology       Date:  2011-05       Impact factor: 3.295

10.  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

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