Literature DB >> 14518812

Performance variability is related to change in cognition: evidence from the Victoria Longitudinal Study.

Stuart W S MacDonald1, David F Hultsch, Roger A Dixon.   

Abstract

Performance variability across repeated task administrations may be an important indicator of age-related cognitive functioning. In the present investigation, the authors examined whether age differences and change in inconsistency were related to 6-year (3 occasion) cognitive change. Inconsistency scores were computed from 4 reaction time tasks performed by 446 older adults (54-89 years). Replicating previous cross-sectional results, greater inconsistency was observed for older participants even after controlling for differences in response speed. New longitudinal results demonstrated (a) associations between inconsistency at baseline measurement and 6-year change in cognitive performance; (b) longitudinal change in inconsistency; and (c) intraindividual covariation between 6-year change in inconsistency and 6-year change in level of cognitive function. These findings support the view that performance variability serves as a marker of cognitive aging.

Entities:  

Mesh:

Year:  2003        PMID: 14518812     DOI: 10.1037/0882-7974.18.3.510

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


  68 in total

1.  A Monte Carlo simulation study of the reliability of intraindividual variability.

Authors:  Ryne Estabrook; Kevin J Grimm; Ryan P Bowles
Journal:  Psychol Aging       Date:  2012-01-23

2.  Neurocognitive speed and inconsistency in Parkinson's disease with and without incipient dementia: an 18-month prospective cohort study.

Authors:  Cindy M de Frias; Roger A Dixon; Richard Camicioli
Journal:  J Int Neuropsychol Soc       Date:  2012-05-24       Impact factor: 2.892

Review 3.  The cognitive neuroscience of ageing.

Authors:  Cheryl Grady
Journal:  Nat Rev Neurosci       Date:  2012-06-20       Impact factor: 34.870

4.  Reaction time variability in HIV-positive individuals.

Authors:  Mark L Ettenhofer; Jessica Foley; Nina Behdin; Andrew J Levine; Steven A Castellon; Charles H Hinkin
Journal:  Arch Clin Neuropsychol       Date:  2010-08-26       Impact factor: 2.813

5.  From Noise to Signal: The Age and Social Patterning of Intra-Individual Variability in Late-Life Health.

Authors:  Jielu Lin; Jessica A Kelley-Moore
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2015-08-29       Impact factor: 4.077

6.  An EZ-diffusion model for response time and accuracy.

Authors:  Eric-Jan Wagenmakers; Han L J van der Maas; Raoul P P P Grasman
Journal:  Psychon Bull Rev       Date:  2007-02

7.  Performance variability during a multitrial list-learning task as a predictor of future cognitive decline in healthy elders.

Authors:  Michael A Sugarman; John L Woodard; Kristy A Nielson; J Carson Smith; Michael Seidenberg; Sally Durgerian; Andria L Norman; Nathan C Hantke; Stephen M Rao
Journal:  J Clin Exp Neuropsychol       Date:  2014-02-19       Impact factor: 2.475

8.  Multivariate Longitudinal Modeling of Cognitive Aging: Associations Among Change and Variation in Processing Speed and Visuospatial Ability.

Authors:  Annie Robitaille; Graciela Muniz; Andrea M Piccinin; Boo Johansson; Scott M Hofer
Journal:  GeroPsych (Bern)       Date:  2012

9.  Between-person and within-person associations among processing speed, attention switching, and working memory in younger and older adults.

Authors:  Robert S Stawski; Martin J Sliwinski; Scott M Hofer
Journal:  Exp Aging Res       Date:  2013       Impact factor: 1.645

10.  Using derivative estimates to describe intraindividual variability at multiple time scales.

Authors:  Pascal R Deboeck; Mignon A Montpetit; C S Bergeman; Steven M Boker
Journal:  Psychol Methods       Date:  2009-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.