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Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures

BACKGROUND AND OBJECTIVES: Cognitive reserve (CR) is meant to account for the mismatch between brain damage and cognitive decline or dementia. Generally, CR has been operationalized using proxy variables indicating exposure to enriching activities (activity-based CR). An alternative approach defines...

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Autores principales: Gallo, Federico, Kalpouzos, Grégoria, Laukka, Erika J., Wang, Rui, Qiu, Chengxuan, Bäckman, Lars, Marseglia, Anna, Fratiglioni, Laura, Dekhtyar, Serhiy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424183/
https://www.ncbi.nlm.nih.gov/pubmed/34512313
http://dx.doi.org/10.3389/fnagi.2021.737736
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author Gallo, Federico
Kalpouzos, Grégoria
Laukka, Erika J.
Wang, Rui
Qiu, Chengxuan
Bäckman, Lars
Marseglia, Anna
Fratiglioni, Laura
Dekhtyar, Serhiy
author_facet Gallo, Federico
Kalpouzos, Grégoria
Laukka, Erika J.
Wang, Rui
Qiu, Chengxuan
Bäckman, Lars
Marseglia, Anna
Fratiglioni, Laura
Dekhtyar, Serhiy
author_sort Gallo, Federico
collection PubMed
description BACKGROUND AND OBJECTIVES: Cognitive reserve (CR) is meant to account for the mismatch between brain damage and cognitive decline or dementia. Generally, CR has been operationalized using proxy variables indicating exposure to enriching activities (activity-based CR). An alternative approach defines CR as residual variance in cognition, not explained by the brain status (residual-based CR). The aim of this study is to compare activity-based and residual-based CR measures in their association with cognitive trajectories and dementia. Furthermore, we seek to examine if the two measures modify the impact of brain integrity on cognitive trajectories and if they predict dementia incidence independent of brain status. METHODS: We used data on 430 older adults aged 60+ from the Swedish National Study on Aging and Care in Kungsholmen, followed for 12 years. Residual-based reserve was computed from a regression predicting episodic memory with a brain-integrity index incorporating six structural neuroimaging markers (white-matter hyperintensities volume, whole-brain gray matter volume, hippocampal volume, lateral ventricular volume, lacunes, and perivascular spaces), age, and sex. Activity-based reserve incorporated education, work complexity, social network, and leisure activities. Cognition was assessed with a composite of perceptual speed, semantic memory, letter-, and category fluency. Dementia was clinically diagnosed in accordance with DSM-IV criteria. Linear mixed models were used for cognitive change analyses. Interactions tested if reserve measures modified the association between brain-integrity and cognitive change. Cox proportional hazard models, adjusted for brain-integrity index, assessed dementia risk. RESULTS: Both reserve measures were associated with cognitive trajectories [β × time (top tertile, ref.: bottom tertile) = 0.013; 95% CI: –0.126, –0.004 (residual-based) and 0.011; 95% CI: –0.001, 0.024, (activity-based)]. Residual-based, but not activity-based reserve mitigated the impact of brain integrity on cognitive decline [β (top tertile × time × brain integrity) = –0.021; 95% CI: –0.043, 0.001] and predicted 12-year dementia incidence, after accounting for the brain-integrity status [HR (top tertile) = 0.23; 95% CI: 0.09, 0.58]. INTERPRETATION: The operationalization of reserve based on residual cognitive performance may represent a more direct measure of CR than an activity-based approach. Ultimately, the two models of CR serve largely different aims. Accounting for brain integrity is essential in any model of reserve.
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spelling pubmed-84241832021-09-09 Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures Gallo, Federico Kalpouzos, Grégoria Laukka, Erika J. Wang, Rui Qiu, Chengxuan Bäckman, Lars Marseglia, Anna Fratiglioni, Laura Dekhtyar, Serhiy Front Aging Neurosci Neuroscience BACKGROUND AND OBJECTIVES: Cognitive reserve (CR) is meant to account for the mismatch between brain damage and cognitive decline or dementia. Generally, CR has been operationalized using proxy variables indicating exposure to enriching activities (activity-based CR). An alternative approach defines CR as residual variance in cognition, not explained by the brain status (residual-based CR). The aim of this study is to compare activity-based and residual-based CR measures in their association with cognitive trajectories and dementia. Furthermore, we seek to examine if the two measures modify the impact of brain integrity on cognitive trajectories and if they predict dementia incidence independent of brain status. METHODS: We used data on 430 older adults aged 60+ from the Swedish National Study on Aging and Care in Kungsholmen, followed for 12 years. Residual-based reserve was computed from a regression predicting episodic memory with a brain-integrity index incorporating six structural neuroimaging markers (white-matter hyperintensities volume, whole-brain gray matter volume, hippocampal volume, lateral ventricular volume, lacunes, and perivascular spaces), age, and sex. Activity-based reserve incorporated education, work complexity, social network, and leisure activities. Cognition was assessed with a composite of perceptual speed, semantic memory, letter-, and category fluency. Dementia was clinically diagnosed in accordance with DSM-IV criteria. Linear mixed models were used for cognitive change analyses. Interactions tested if reserve measures modified the association between brain-integrity and cognitive change. Cox proportional hazard models, adjusted for brain-integrity index, assessed dementia risk. RESULTS: Both reserve measures were associated with cognitive trajectories [β × time (top tertile, ref.: bottom tertile) = 0.013; 95% CI: –0.126, –0.004 (residual-based) and 0.011; 95% CI: –0.001, 0.024, (activity-based)]. Residual-based, but not activity-based reserve mitigated the impact of brain integrity on cognitive decline [β (top tertile × time × brain integrity) = –0.021; 95% CI: –0.043, 0.001] and predicted 12-year dementia incidence, after accounting for the brain-integrity status [HR (top tertile) = 0.23; 95% CI: 0.09, 0.58]. INTERPRETATION: The operationalization of reserve based on residual cognitive performance may represent a more direct measure of CR than an activity-based approach. Ultimately, the two models of CR serve largely different aims. Accounting for brain integrity is essential in any model of reserve. Frontiers Media S.A. 2021-08-25 /pmc/articles/PMC8424183/ /pubmed/34512313 http://dx.doi.org/10.3389/fnagi.2021.737736 Text en Copyright © 2021 Gallo, Kalpouzos, Laukka, Wang, Qiu, Bäckman, Marseglia, Fratiglioni and Dekhtyar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Gallo, Federico
Kalpouzos, Grégoria
Laukka, Erika J.
Wang, Rui
Qiu, Chengxuan
Bäckman, Lars
Marseglia, Anna
Fratiglioni, Laura
Dekhtyar, Serhiy
Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures
title Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures
title_full Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures
title_fullStr Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures
title_full_unstemmed Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures
title_short Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures
title_sort cognitive trajectories and dementia risk: a comparison of two cognitive reserve measures
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424183/
https://www.ncbi.nlm.nih.gov/pubmed/34512313
http://dx.doi.org/10.3389/fnagi.2021.737736
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