Cognitive trajectories: exploring the predictive role of subjective cognitive decline and awareness of age-related changes for cognitive functioning

Frontiers in Psychiatry

Psychiatry

Silvia Chapman¹  Anne Corbett²  Clive Ballard²  Helen Brooker³  Serena Sabatini⁴  Blossom C. M. Stephan⁵  Stephanie Cosentino⁶ 

[1] Department of Neurology, Columbia University, New York, NY, United States;Faculty of Health and Life Science, University of Exeter, Exeter, United Kingdom;Faculty of Health and Life Science, University of Exeter, Exeter, United Kingdom;Ecog Pro Ltd., Bristol, United Kingdom;School of Medicine, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom;School of Medicine, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom;Faculty of Health Sciences, Curtin enAble Institute, Curtin University, Bentley, WA, Australia;Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, New York, NY, United States;Department of Neurology, Columbia University, New York, NY, United States;

关键词: AARC-gains;    AARC-losses;    self-perceptions of aging;    subjective cognitive decline;    objective cognitive change;   

DOI  :  10.3389/fpsyt.2023.1270798

 received in 2023-08-01, accepted in 2023-10-02,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundWe investigated whether aspects of subjective cognitive aging, including awareness of age-related gains and losses in cognition (AARC-gains, AARC-losses) and subjective cognitive decline (SCD), predict change in objective cognitive function as measured by verbal reasoning (VR) and working memory (WM).MethodsWe used longitudinal data for 3,299 cognitively healthy UK residents aged 65+. We used data on AARC and SCD assessed in 2019, and cognitive tasks assessed in 2019, 2020, and 2021. We used latent growth curve modeling, latent class growth analysis, and growth mixture modeling.ResultsFor VR, multiple growth trajectories were not evident. Mean VR at baseline was 37.45; this remained stable over time. Higher AARC-gains in cognition (mean intercept = −0.23; 95%CI: −0.31; −0.16), higher AARC-losses in cognition (mean intercept = −0.37; 95%CI: −0.46; −0.28), and lower SCD (mean intercept = 2.92; 95%CI: 2.58; 3.58) were associated with poorer VR at baseline. A three-class growth mixture model–class varying best represented trajectories of WM. In Class 1 (N = 182) mean WM at baseline was 31.20; this decreased by 2.48 points each year. In Class 2 (N = 119) mean WM at baseline was 23.12; this increased by 3.28 points each year. In Class 3 (N = 2,998) mean WM at baseline was 30.11; and it remained stable. Higher AARC-gains (Odds Ratio = 1.08; 95%CI: 1.03; 1.14) and AARC-losses (Odds Ratio = 1.10; 95%CI: 1.04; 1.16) in cognition predicted greater likelihood of being in Class 2 than Class 3.ConclusionAlthough both higher AARC-gains and AARC-losses indicate poorer concurrent cognition, higher AARC-gains may be a resource that facilitates future cognitive improvement.

【 授权许可】

Unknown   
Copyright © 2023 Sabatini, Cosentino, Chapman, Ballard, Brooker, Corbett and Stephan.