Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old Age

It is well known that cognitive decline in older adults is of smaller amplitude in longitudinal than in cross-sectional studies. Yet, the measure of interest rests generally with aggregated group data. A focus on individual developmental trajectories is rare, mainly because it is difficult to assess...

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Main Authors: Nathalie Mella, Delphine Fagot, Olivier Renaud, Matthias Kliegel, Anik de Ribaupierre
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Journal of Intelligence
Subjects:
Online Access:http://www.mdpi.com/2079-3200/6/1/10
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spelling doaj-08735e5146214a1aa8b0eebb62581a212020-11-25T01:11:13ZengMDPI AGJournal of Intelligence2079-32002018-02-01611010.3390/jintelligence6010010jintelligence6010010Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old AgeNathalie Mella0Delphine Fagot1Olivier Renaud2Matthias Kliegel3Anik de Ribaupierre4Cognitive Aging Lab, University of Geneva, 1211 Geneva, SwitzerlandCenter for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, 1211 Geneva, SwitzerlandMethodology and Data Analysis, Section of psychology, University of Geneva, 1211 Geneva, SwitzerlandCognitive Aging Lab, University of Geneva, 1211 Geneva, SwitzerlandCenter for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, 1211 Geneva, SwitzerlandIt is well known that cognitive decline in older adults is of smaller amplitude in longitudinal than in cross-sectional studies. Yet, the measure of interest rests generally with aggregated group data. A focus on individual developmental trajectories is rare, mainly because it is difficult to assess intraindividual change reliably. Individual differences in developmental trajectories may differ quantitatively (e.g., larger or smaller decline) or qualitatively (e.g., decline vs improvement), as well as in the degree of heterogeneity of change across different cognitive domains or different tasks. The present paper aims at exploring, within the Geneva Variability Study, individual change across several cognitive domains in 92 older adults (aged 59–89 years at baseline) over a maximum of seven years and a half. Two novel, complementary methods were used to explore change in cognitive performance while remaining entirely at the intra-individual level. A bootstrap based confidence interval was estimated, for each participant and for each experimental condition, making it possible to define three patterns: stability, increase or decrease in performance. Within-person ANOVAs were also conducted for each individual on all the tasks. Those two methods allowed quantifying the direction, the amplitude and the heterogeneity of change for each individual. Results show that trajectories differed widely among individuals and that decline is far from being the rule.http://www.mdpi.com/2079-3200/6/1/10individual differencescognitive agingcognitive heterogeneitylongitudinal method
collection DOAJ
language English
format Article
sources DOAJ
author Nathalie Mella
Delphine Fagot
Olivier Renaud
Matthias Kliegel
Anik de Ribaupierre
spellingShingle Nathalie Mella
Delphine Fagot
Olivier Renaud
Matthias Kliegel
Anik de Ribaupierre
Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old Age
Journal of Intelligence
individual differences
cognitive aging
cognitive heterogeneity
longitudinal method
author_facet Nathalie Mella
Delphine Fagot
Olivier Renaud
Matthias Kliegel
Anik de Ribaupierre
author_sort Nathalie Mella
title Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old Age
title_short Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old Age
title_full Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old Age
title_fullStr Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old Age
title_full_unstemmed Individual Differences in Developmental Change: Quantifying the Amplitude and Heterogeneity in Cognitive Change across Old Age
title_sort individual differences in developmental change: quantifying the amplitude and heterogeneity in cognitive change across old age
publisher MDPI AG
series Journal of Intelligence
issn 2079-3200
publishDate 2018-02-01
description It is well known that cognitive decline in older adults is of smaller amplitude in longitudinal than in cross-sectional studies. Yet, the measure of interest rests generally with aggregated group data. A focus on individual developmental trajectories is rare, mainly because it is difficult to assess intraindividual change reliably. Individual differences in developmental trajectories may differ quantitatively (e.g., larger or smaller decline) or qualitatively (e.g., decline vs improvement), as well as in the degree of heterogeneity of change across different cognitive domains or different tasks. The present paper aims at exploring, within the Geneva Variability Study, individual change across several cognitive domains in 92 older adults (aged 59–89 years at baseline) over a maximum of seven years and a half. Two novel, complementary methods were used to explore change in cognitive performance while remaining entirely at the intra-individual level. A bootstrap based confidence interval was estimated, for each participant and for each experimental condition, making it possible to define three patterns: stability, increase or decrease in performance. Within-person ANOVAs were also conducted for each individual on all the tasks. Those two methods allowed quantifying the direction, the amplitude and the heterogeneity of change for each individual. Results show that trajectories differed widely among individuals and that decline is far from being the rule.
topic individual differences
cognitive aging
cognitive heterogeneity
longitudinal method
url http://www.mdpi.com/2079-3200/6/1/10
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