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Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review

BACKGROUND: Cognitive aging is a dynamic process in late life with significant heterogeneity across individuals. OBJECTIVE: To review the evidence for latent classes of cognitive trajectories and to identify the associated predictors and outcomes. METHODS: A systematic search was performed in MEDLIN...

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Autores principales: Wu, Zimu, Phyo, Aung Zaw Zaw, Al-harbi, Tagrid, Woods, Robyn L., Ryan, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683100/
https://www.ncbi.nlm.nih.gov/pubmed/33283167
http://dx.doi.org/10.3233/ADR-200232
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author Wu, Zimu
Phyo, Aung Zaw Zaw
Al-harbi, Tagrid
Woods, Robyn L.
Ryan, Joanne
author_facet Wu, Zimu
Phyo, Aung Zaw Zaw
Al-harbi, Tagrid
Woods, Robyn L.
Ryan, Joanne
author_sort Wu, Zimu
collection PubMed
description BACKGROUND: Cognitive aging is a dynamic process in late life with significant heterogeneity across individuals. OBJECTIVE: To review the evidence for latent classes of cognitive trajectories and to identify the associated predictors and outcomes. METHODS: A systematic search was performed in MEDLINE and EMBASE for articles that identified two or more cognitive trajectories in adults. The study was conducted following the PRISMA statement. RESULTS: Thirty-seven studies were included, ranging from 219 to 9,704 participants, with a mean age of 60 to 93.4 years. Most studies (n = 30) identified distinct cognitive trajectories using latent class growth analysis. The trajectory profile commonly consisted of three to four classes with progressively decreasing baseline and increasing rate of decline—a ‘stable-high’ class characterized as maintenance of cognitive function at high level, a ‘minor-decline’ class or ‘stable-medium’ class that declines gradually over time, and a ‘rapid-decline’ class with the steepest downward slope. Generally, membership of better classes was predicted by younger age, being female, more years of education, better health, healthier lifestyle, higher social engagement and lack of genetic risk variants. Some factors (e.g., education) were found to be associated with cognitive function over time only within individual classes. CONCLUSION: Cognitive aging in late life is a dynamic process with significant inter-individual variability. However, it remains unclear whether similar patterns of cognitive aging are observed across all cognitive domains. Further research into unique factors which promote the maintenance of high-cognitive function is needed to help inform public policy.
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spelling pubmed-76831002020-12-03 Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review Wu, Zimu Phyo, Aung Zaw Zaw Al-harbi, Tagrid Woods, Robyn L. Ryan, Joanne J Alzheimers Dis Rep Review BACKGROUND: Cognitive aging is a dynamic process in late life with significant heterogeneity across individuals. OBJECTIVE: To review the evidence for latent classes of cognitive trajectories and to identify the associated predictors and outcomes. METHODS: A systematic search was performed in MEDLINE and EMBASE for articles that identified two or more cognitive trajectories in adults. The study was conducted following the PRISMA statement. RESULTS: Thirty-seven studies were included, ranging from 219 to 9,704 participants, with a mean age of 60 to 93.4 years. Most studies (n = 30) identified distinct cognitive trajectories using latent class growth analysis. The trajectory profile commonly consisted of three to four classes with progressively decreasing baseline and increasing rate of decline—a ‘stable-high’ class characterized as maintenance of cognitive function at high level, a ‘minor-decline’ class or ‘stable-medium’ class that declines gradually over time, and a ‘rapid-decline’ class with the steepest downward slope. Generally, membership of better classes was predicted by younger age, being female, more years of education, better health, healthier lifestyle, higher social engagement and lack of genetic risk variants. Some factors (e.g., education) were found to be associated with cognitive function over time only within individual classes. CONCLUSION: Cognitive aging in late life is a dynamic process with significant inter-individual variability. However, it remains unclear whether similar patterns of cognitive aging are observed across all cognitive domains. Further research into unique factors which promote the maintenance of high-cognitive function is needed to help inform public policy. IOS Press 2020-10-24 /pmc/articles/PMC7683100/ /pubmed/33283167 http://dx.doi.org/10.3233/ADR-200232 Text en © 2020 – 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 Review
Wu, Zimu
Phyo, Aung Zaw Zaw
Al-harbi, Tagrid
Woods, Robyn L.
Ryan, Joanne
Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review
title Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review
title_full Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review
title_fullStr Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review
title_full_unstemmed Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review
title_short Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review
title_sort distinct cognitive trajectories in late life and associated predictors and outcomes: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683100/
https://www.ncbi.nlm.nih.gov/pubmed/33283167
http://dx.doi.org/10.3233/ADR-200232
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