Cargando…

Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia

BACKGROUND: Non-demented cognitive aging trajectories are characterized by vast level and slope differences and a spectrum of outcomes, including dementia. OBJECTIVE: The goal of AD risk management (and its corollary, promoting healthy brain aging) is aided by two converging objectives: 1) classifyi...

Descripción completa

Detalles Bibliográficos
Autores principales: McFall, G. Peggy, McDermott, Kirstie L., Dixon, Roger A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700610/
https://www.ncbi.nlm.nih.gov/pubmed/30775975
http://dx.doi.org/10.3233/JAD-180571
_version_ 1783444900265590784
author McFall, G. Peggy
McDermott, Kirstie L.
Dixon, Roger A.
author_facet McFall, G. Peggy
McDermott, Kirstie L.
Dixon, Roger A.
author_sort McFall, G. Peggy
collection PubMed
description BACKGROUND: Non-demented cognitive aging trajectories are characterized by vast level and slope differences and a spectrum of outcomes, including dementia. OBJECTIVE: The goal of AD risk management (and its corollary, promoting healthy brain aging) is aided by two converging objectives: 1) classifying dynamic distributions of non-demented cognitive trajectories, and 2) identifying modifiable risk-elevating and risk-reducing factors that discriminate stable or normal trajectory patterns from declining or pre-impairment patterns. METHOD: Using latent class growth analysis we classified three episodic memory aging trajectories for n = 882 older adults (baseline Mage=71.6, SD=8.9, range = 53-95, female=66%): Stable (SMA; above average level, sustained slope), Normal (NMA; average level, moderately declining slope), and Declining (DMA; below average level, substantially declining slope). Using random forest analyses, we simultaneously assessed 17 risk/protective factors from non-modifiable demographic, functional, psychological, and lifestyle domains. Within two age strata (Young-Old, Old-Old), three pairwise prediction analyses identified important discriminating factors. RESULTS: Prediction analyses revealed that different modifiable risk predictors, both shared and unique across age strata, discriminated SMA (i.e., education, depressive symptoms, living status, body mass index, heart rate, social activity) and DMA (i.e., lifestyle activities [cognitive, self-maintenance, social], grip strength, heart rate, gait) groups. CONCLUSION: Memory trajectory analyses produced empirical classes varying in level and slope. Prediction analyses revealed different predictors of SMA and DMA that also varied by age strata. Precision approaches for promoting healthier memory aging—and delaying memory impairment—may identify modifiable factors that constitute specific targets for intervention in the differential context of age and non-demented trajectory patterns.
format Online
Article
Text
id pubmed-6700610
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher IOS Press
record_format MEDLINE/PubMed
spelling pubmed-67006102019-09-03 Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia McFall, G. Peggy McDermott, Kirstie L. Dixon, Roger A. J Alzheimers Dis Research Article BACKGROUND: Non-demented cognitive aging trajectories are characterized by vast level and slope differences and a spectrum of outcomes, including dementia. OBJECTIVE: The goal of AD risk management (and its corollary, promoting healthy brain aging) is aided by two converging objectives: 1) classifying dynamic distributions of non-demented cognitive trajectories, and 2) identifying modifiable risk-elevating and risk-reducing factors that discriminate stable or normal trajectory patterns from declining or pre-impairment patterns. METHOD: Using latent class growth analysis we classified three episodic memory aging trajectories for n = 882 older adults (baseline Mage=71.6, SD=8.9, range = 53-95, female=66%): Stable (SMA; above average level, sustained slope), Normal (NMA; average level, moderately declining slope), and Declining (DMA; below average level, substantially declining slope). Using random forest analyses, we simultaneously assessed 17 risk/protective factors from non-modifiable demographic, functional, psychological, and lifestyle domains. Within two age strata (Young-Old, Old-Old), three pairwise prediction analyses identified important discriminating factors. RESULTS: Prediction analyses revealed that different modifiable risk predictors, both shared and unique across age strata, discriminated SMA (i.e., education, depressive symptoms, living status, body mass index, heart rate, social activity) and DMA (i.e., lifestyle activities [cognitive, self-maintenance, social], grip strength, heart rate, gait) groups. CONCLUSION: Memory trajectory analyses produced empirical classes varying in level and slope. Prediction analyses revealed different predictors of SMA and DMA that also varied by age strata. Precision approaches for promoting healthier memory aging—and delaying memory impairment—may identify modifiable factors that constitute specific targets for intervention in the differential context of age and non-demented trajectory patterns. IOS Press 2019-08-13 /pmc/articles/PMC6700610/ /pubmed/30775975 http://dx.doi.org/10.3233/JAD-180571 Text en © 2019 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
McFall, G. Peggy
McDermott, Kirstie L.
Dixon, Roger A.
Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia
title Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia
title_full Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia
title_fullStr Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia
title_full_unstemmed Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia
title_short Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia
title_sort modifiable risk factors discriminate memory trajectories in non-demented aging: precision factors and targets for promoting healthier brain aging and preventing dementia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700610/
https://www.ncbi.nlm.nih.gov/pubmed/30775975
http://dx.doi.org/10.3233/JAD-180571
work_keys_str_mv AT mcfallgpeggy modifiableriskfactorsdiscriminatememorytrajectoriesinnondementedagingprecisionfactorsandtargetsforpromotinghealthierbrainagingandpreventingdementia
AT mcdermottkirstiel modifiableriskfactorsdiscriminatememorytrajectoriesinnondementedagingprecisionfactorsandtargetsforpromotinghealthierbrainagingandpreventingdementia
AT dixonrogera modifiableriskfactorsdiscriminatememorytrajectoriesinnondementedagingprecisionfactorsandtargetsforpromotinghealthierbrainagingandpreventingdementia