|Title||Age Profiles of Cognitive Decline and Dementia in Late Life in the Aging, Demographics and Memory Study (ADAMS).|
|Publication Type||Journal Article|
|Year of Publication||2022|
|Authors||Walsh, CE, Yang, YC, Oi, K, Aiello, AE, Belsky, DW, Harris, KMullan, Plassman, BL|
|Journal||The Journals of Gerontology, Series B|
|Keywords||ADAMS, Cognition, joint models, latent class, longitudinal trajectories, Mortality|
OBJECTIVES: To better understand the temporal dynamics of progression from cognitive decline to onset of dementia in the dementia-free older population in the U.S.
METHODS: We used longitudinal data from a diverse national population-based sample of older adults (N=531) in the Aging, Demographics and Memory Study (ADAMS) from the Health and Retirement Study (HRS) with repeated measures of cognitive function and dementia diagnosis during 12 years of follow-up from 1996 to 2009. We employed joint latent class mixed models to estimate the association between cognitive change and competing risks of dementia and non-dementia death and identify heterogeneity in the age profiles of such association adjusting for baseline characteristics.
RESULTS: Our analyses found three latent classes with distinct age profiles of cognitive decline and associated risk of dementia and mortality: "Rapid Cognitive Decline" (19.6%), "Moderate Progression" (44.6%), and "Optimal Cognitive Aging" (35.8%). When simultaneously accounting for cognitive trajectories and time-to-dementia/death, we also found associations of baseline covariates with slope of cognitive decline (e.g., steeper decline among non-Hispanic Blacks and more educated) and risk of dementia (e.g., greater risk for females and apolipoprotein E [APOE-4] carriers, but no difference by education level) that differ substantially from those in separate longitudinal mixed models or survival models.
DISCUSSION: The differential age patterns of cognitive decline predicting dementia incidences identified in this study suggest variation in the course of cognitive aging in older adults that may inform future etiological and intervention studies.