Literature DB >> 23842960

Keeping it steady: older adults perform more consistently on cognitive tasks than younger adults.

Florian Schmiedek1, Martin Lövdén, Ulman Lindenberger.   

Abstract

People often attribute poor performance to having bad days. Given that cognitive aging leads to lower average levels of performance and more moment-to-moment variability, one might expect that older adults should show greater day-to-day variability and be more likely to experience bad days than younger adults. However, both researchers and ordinary people typically sample only one performance per day for a given activity. Hence, the empirical basis for concluding that cognitive performance does substantially vary from day to day is inadequate. On the basis of data from 101 younger and 103 older adults who completed nine cognitive tasks in 100 daily sessions, we show that the contributions of systematic day-to-day variability to overall observed variability are reliable but small. Thus, the impression of good versus bad days is largely due to performance fluctuations at faster timescales. Despite having lower average levels of performance, older adults showed more consistent levels of performance across days.

Entities:  

Keywords:  adult development; aging; cognitive development; cognitive performance; daily fluctuations; normal aging; within-person variability

Mesh:

Year:  2013        PMID: 23842960     DOI: 10.1177/0956797613479611

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  15 in total

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7.  Computer-based tools for assessing micro-longitudinal patterns of cognitive function in older adults.

Authors:  Laura J E Brown; Tim Adlam; Faustina Hwang; Hassan Khadra; Linda M Maclean; Bridey Rudd; Tom Smith; Claire Timon; Elizabeth A Williams; Arlene J Astell
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8.  Within-person structures of daily cognitive performance differ from between-person structures of cognitive abilities.

Authors:  Florian Schmiedek; Martin Lövdén; Timo von Oertzen; Ulman Lindenberger
Journal:  PeerJ       Date:  2020-06-09       Impact factor: 2.984

9.  The brain ages optimally to model its environment: evidence from sensory learning over the adult lifespan.

Authors:  Rosalyn J Moran; Mkael Symmonds; Raymond J Dolan; Karl J Friston
Journal:  PLoS Comput Biol       Date:  2014-01-23       Impact factor: 4.475

10.  Ageing increases reliance on sensorimotor prediction through structural and functional differences in frontostriatal circuits.

Authors:  Noham Wolpe; James N Ingram; Kamen A Tsvetanov; Linda Geerligs; Rogier A Kievit; Richard N Henson; Daniel M Wolpert; James B Rowe
Journal:  Nat Commun       Date:  2016-10-03       Impact factor: 14.919

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