Literature DB >> 15014091

Practice and drop-out effects during a 17-year longitudinal study of cognitive aging.

Patrick Rabbitt1, Peter Diggle, Fiona Holland, Lynn McInnes.   

Abstract

Interpretations of longitudinal studies of cognitive aging are misleading unless effects of practice and selective drop-out are considered. A random effects model taking practice and drop-out into account analyzed data from four successive presentations of each of two intelligence tests, two vocabulary tests, and two verbal memory tests during a 17-year longitudinal study of 5,899 community residents whose ages ranged from 49 to 92 years. On intelligence tests, substantial practice effects counteracted true declines observed over 3 to 5 years of aging and remained significant even with intervals of 7 years between successive assessments. Adjustment for practice and drop-out revealed accelerating declines in fluid intelligence and cumulative learning, linear declines in verbal free recall, and no substantial change in vocabulary. Socioeconomic status and basal levels of general fluid ability did not affect rates of decline. After further adjustment for demographics, variability between individuals was seen to increase as the sample aged.

Mesh:

Year:  2004        PMID: 15014091     DOI: 10.1093/geronb/59.2.p84

Source DB:  PubMed          Journal:  J Gerontol B Psychol Sci Soc Sci        ISSN: 1079-5014            Impact factor:   4.077


  48 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.  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

3.  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

4.  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

5.  Race-related disparities in 5-year cognitive level and change in untrained ACTIVE participants.

Authors:  Michael Marsiske; Joseph M Dzierzewski; Kelsey R Thomas; Linda Kasten; Richard N Jones; Kathy E Johnson; Sherry L Willis; Keith E Whitfield; Karlene K Ball; George W Rebok
Journal:  J Aging Health       Date:  2013-12

6.  Educational differentials in life expectancy with cognitive impairment among the elderly in the United States.

Authors:  Agnès Lièvre; Dawn Alley; Eileen M Crimmins
Journal:  J Aging Health       Date:  2008-06

7.  Terminal decline and practice effects in older adults without dementia: the MoVIES project.

Authors:  Hiroko H Dodge; Chia-Ning Wang; Chung-Chou H Chang; Mary Ganguli
Journal:  Neurology       Date:  2011-08-10       Impact factor: 9.910

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.  What predicts changes in useful field of view test performance?

Authors:  Melissa Lunsman; Jerri D Edwards; Ross Andel; Brent J Small; Karlene K Ball; Daniel L Roenker
Journal:  Psychol Aging       Date:  2008-12

10.  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

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