Literature DB >> 11254936

Identifying and separating the effects of practice and of cognitive ageing during a large longitudinal study of elderly community residents.

P Rabbitt1, P Diggle, D Smith, F Holland, L Mc Innes.   

Abstract

In protracted longitudinal studies of cognitive changes in old age volunteers must be repeatedly tested. Even with intervals of several years between assessment, this raises the possibility that improvements due to practice mask other changes. This problem is much more acute in brief studies of cognitive changes associated with progressive pathologies such as Alzheimer's disease or the effects of clinical interventions. Both types of study also encounter problems of selective dropout of frail and less able individuals leaving relatively 'elite' survivors. An analysis of data from repeated testing at 2-3 years intervals on the AH4 (1) intelligence test is presented to illustrate how a random effects model can be used to identify and disassociate age-related changes and practice effects at the population level, after effects of selective dropout and of background demographical variables have been taken into consideration. This analysis also provides some new, substantive empirical findings. Age-related changes are relatively slight between 49 and 70 years but much more marked between 70 and 80 years. Even with assessment points, several years apart the population average effect of practice is large relative to that of age-related change. Variation between individuals increases as samples age, providing the first clear evidence from a longitudinal study for marked individual differences in trajectories of cognitive ageing.

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Year:  2001        PMID: 11254936     DOI: 10.1016/s0028-3932(00)00099-3

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  53 in total

1.  On the confounds among retest gains and age-cohort differences in the estimation of within-person change in longitudinal studies: a simulation study.

Authors:  Lesa Hoffman; Scott M Hofer; Martin J Sliwinski
Journal:  Psychol Aging       Date:  2011-05-30

2.  The scaling of spatial attention in visual search and its modification in healthy aging.

Authors:  P M Greenwood; Raja Parasuraman
Journal:  Percept Psychophys       Date:  2004-01

3.  Jump, Hop, or Skip: Modeling Practice Effects in Studies of Determinants of Cognitive Change in Older Adults.

Authors:  Alexandre Vivot; Melinda C Power; M Maria Glymour; Elizabeth R Mayeda; Andreana Benitez; Avron Spiro; Jennifer J Manly; Cécile Proust-Lima; Carole Dufouil; Alden L Gross
Journal:  Am J Epidemiol       Date:  2016-01-28       Impact factor: 4.897

4.  Multivariate modeling of age and retest in longitudinal studies of cognitive abilities.

Authors:  Emilio Ferrer; Timothy A Salthouse; John J McArdle; Walter F Stewart; Brian S Schwartz
Journal:  Psychol Aging       Date:  2005-09

5.  Pilot age and expertise predict flight simulator performance: a 3-year longitudinal study.

Authors:  Joy L Taylor; Quinn Kennedy; Art Noda; Jerome A Yesavage
Journal:  Neurology       Date:  2007-02-27       Impact factor: 9.910

6.  V. DESIGN-BASED APPROACHES FOR IMPROVING MEASUREMENT IN DEVELOPMENTAL SCIENCE.

Authors:  Jonathan Rush; Scott M Hofer
Journal:  Monogr Soc Res Child Dev       Date:  2017-06

7.  Cognitive decline in the elderly: an analysis of population heterogeneity.

Authors:  Kathleen M Hayden; Bruce R Reed; Jennifer J Manly; Douglas Tommet; Robert H Pietrzak; Gordon J Chelune; Frances M Yang; Andrew J Revell; David A Bennett; Richard N Jones
Journal:  Age Ageing       Date:  2011-09-02       Impact factor: 10.668

8.  Effects of Sex and Education on Cognitive Change Over a 27-Year Period in Older Adults: The Rancho Bernardo Study.

Authors:  Emilie T Reas; Gail A Laughlin; Jaclyn Bergstrom; Donna Kritz-Silverstein; Elizabeth Barrett-Connor; Linda K McEvoy
Journal:  Am J Geriatr Psychiatry       Date:  2017-03-16       Impact factor: 4.105

9.  Trajectories of cognitive function in late life in the United States: demographic and socioeconomic predictors.

Authors:  Arun S Karlamangla; Dana Miller-Martinez; Carol S Aneshensel; Teresa E Seeman; Richard G Wight; Joshua Chodosh
Journal:  Am J Epidemiol       Date:  2009-07-15       Impact factor: 4.897

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
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