Literature DB >> 20853965

Intraindividual variability is related to cognitive change in older adults: evidence for within-person coupling.

Allison A M Bielak1, David F Hultsch, Esther Strauss, Stuart W S MacDonald, Michael A Hunter.   

Abstract

In this study, the authors addressed the longitudinal nature of intraindividual variability over 3 years. A sample of 304 community-dwelling older adults, initially between the ages of 64 and 92 years, completed 4 waves of annual testing on a battery of accuracy- and latency-based tests covering a wide range of cognitive complexity. Increases in response-time inconsistency on moderately and highly complex tasks were associated with increasing age, but there were significant individual differences in change across the entire sample. The time-varying covariation between cognition and inconsistency was significant across the 1-year intervals and remained stable across both time and age. On occasions when intraindividual variability was high, participants' cognitive performance was correspondingly low. The strength of the coupling relationship was greater for more fluid cognitive domains such as memory, reasoning, and processing speed than for more crystallized domains such as verbal ability. Variability based on moderately and highly complex tasks provided the strongest prediction. These results suggest that intraindividual variability is highly sensitive to even subtle changes in cognitive ability. (c) 2010 APA, all rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20853965     DOI: 10.1037/a0019503

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


  31 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.  Level of recall, retrieval speed, and variability on the Cued-Recall Retrieval Speed Task (CRRST) in individuals with amnestic mild cognitive impairment.

Authors:  Wendy S Ramratan; Laura A Rabin; Cuiling Wang; Molly E Zimmerman; Mindy J Katz; Richard B Lipton; Herman Buschke
Journal:  J Int Neuropsychol Soc       Date:  2012-01-23       Impact factor: 2.892

3.  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

4.  Intraindividual variability in basic reaction time predicts middle-aged and older pilots' flight simulator performance.

Authors:  Quinn Kennedy; Joy Taylor; Daniel Heraldez; Art Noda; Laura C Lazzeroni; Jerome Yesavage
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2012-10-09       Impact factor: 4.077

5.  Psychometric properties of within-person across-session variability in accuracy of cognitive performance.

Authors:  Timothy A Salthouse
Journal:  Assessment       Date:  2012-03-02

6.  The Ups and Downs of Cognitive Function: Neuroticism and Negative Affect Drive Performance Inconsistency.

Authors:  Elizabeth Munoz; Robert S Stawski; Martin J Sliwinski; Joshua M Smyth; Stuart W S MacDonald
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-01-14       Impact factor: 4.077

7.  Fibrofog in Daily Life: An Examination of Ambulatory Subjective and Objective Cognitive Function in Fibromyalgia.

Authors:  Anna L Kratz; Daniel Whibley; Samsuk Kim; Martin Sliwinski; Daniel Clauw; David A Williams
Journal:  Arthritis Care Res (Hoboken)       Date:  2020-11-09       Impact factor: 4.794

8.  Comparing individual differences in inconsistency and plasticity as predictors of cognitive function in older adults.

Authors:  Jacob H G Grand; Robert S Stawski; Stuart W S MacDonald
Journal:  J Clin Exp Neuropsychol       Date:  2016-02-22       Impact factor: 2.475

9.  Change in intraindividual variability over time as a key metric for defining performance-based cognitive fatigability.

Authors:  Chao Wang; Mingzhou Ding; Benzi M Kluger
Journal:  Brain Cogn       Date:  2014-01-30       Impact factor: 2.310

10.  The STEP model: Characterizing simultaneous time effects on practice for flight simulator performance among middle-aged and older pilots.

Authors:  Quinn Kennedy; Joy Taylor; Art Noda; Jerome Yesavage; Laura C Lazzeroni
Journal:  Psychol Aging       Date:  2015-08-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.