Age Profiles of Cognitive Decline and Dementia in Late Life in the Aging, Demographics, and Memory Study

被引:6
|
作者
Walsh, Christine E. [1 ]
Yang, Yang C. [2 ,3 ]
Oi, Katsuya [4 ]
Aiello, Allison [5 ]
Belsky, Daniel [6 ]
Harris, Kathleen Mullan [7 ]
Plassman, Brenda L. [8 ]
机构
[1] Univ N Carolina, Dept Hlth Behav, Carolina Populat Ctr, Chapel Hill, NC 27599 USA
[2] Univ N Carolina, Dept Sociol, Lineberger Canc Ctr, Chapel Hill, NC 27599 USA
[3] Univ N Carolina, Carolina Populat Ctr, Chapel Hill, NC 27599 USA
[4] No Arizona Univ, Dept Sociol, Flagstaff, AZ USA
[5] Univ N Carolina, Dept Epidemiol, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA
[6] Columbia Univ, Dept Epidemiol, Mailman Sch Publ Hlth, New York, NY USA
[7] Univ N Carolina, Dept Sociol, Carolina Populat Ctr, Chapel Hill, NC 27599 USA
[8] Duke Univ, Dept Psychiat & Behav Sci, Durham, NC USA
关键词
Cognition; Joint models; Latent class; Longitudinal trajectories; Mortality; UNITED-STATES; CLASS MODELS; RISK; TRAJECTORIES; PREDICTORS; HEALTH; RETIREMENT; MORTALITY; DISEASE; STROKE;
D O I
10.1093/geronb/gbac038
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Objectives To better understand the temporal dynamics of progression from cognitive decline to onset of dementia in the dementia-free older population in the United States. Methods We used longitudinal data from a diverse national population-based sample of older adults (N = 531) in the Aging, Demographics, and Memory Study from the Health and Retirement Study 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 nondementia death and identify heterogeneity in the age profiles of such association adjusting for baseline characteristics. Results Our analyses found 3 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-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.
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页码:1880 / 1891
页数:12
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