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Cognitive aging in black and white Americans: Cognition, cognitive decline, and incidence of Alzheimer disease dementia

Weuve, Jennifer; Barnes, Lisa L.; de Leon, Carlos F. Mendes; Rajan, Kumar B.; Beck, Todd; Aggarwal, Neelum T.; Hebert, Liesi E.; Bennett, David A.; Wilson, Robert S.; Evans, Denis A.
doi: 10.1097/EDE.0000000000000747
Original Article: PDF Only

Background:

US-based studies have reported that older blacks perform worse than older whites on cognitive tests and have higher risk of Alzheimer disease dementia (AD). It is unclear whether these findings reflect differences in cognitive decline.

Methods:

The Chicago Health and Aging Project followed individuals, 65+ years old (64% black, 36% white), for up to 18 years. Participants underwent triennial cognitive assessments; stratified randomized samples underwent assessments for AD. We compared black and white participants’ cognitive performance, cognitive decline rate (N=7735), and AD incidence (N=2144), adjusting for age and sex.

Results:

Black participants performed worse than white participants on the cognitive tests; 441 participants developed AD. Black participants’ incident AD risk was twice that of whites (RR=1.9; 95% CI, 1.4-2.7), with 58 excess cases/1000 occurring among blacks (95% CI, 28 to 88). Among non-carriers of APOE ε4, blacks had 2.3 times the AD risk (95% CI,1.5-3.6), but among carriers, race was not associated with risk (RR=1.1; 95% CI, 0.6-2.0; Pinteraction=0.05). However, cognitive decline was not faster among blacks: the black-white difference in 5-year change in global cognitive score was 0.007 standard unit (95% CI, -0.034 to 0.047). Years of education accounted for a sizable portion of racial disparities in cognitive level and AD risk, in analyses using a counterfactual approach.

Conclusions:

The higher risk of AD among blacks may stem from lower level of cognitive test performance persisting throughout the observation period rather than faster rate of late-life cognitive decline. Disparities in educational attainment may contribute to these performance disparities.

DATA AND STATISTICAL CODE SHARING: The statistical computing code and data used to generate the findings are available upon request. The text directly references the more novel components of the statistical code.

CONFLICTS OF INTEREST AND SOURCES OF FUNDING: The authors have no conflicts of interest to declare. This investigation was supported by NIH grant AG11101 (PI: Evans).

ACKNOWLEDGMENTS: The authors are grateful to the study participants for their engagement in and dedication to the Chicago Health and Aging Project.

CORRESPONDING AUTHOR: Jennifer Weuve (corresponding author), Associate Professor, Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, T331E, Boston, MA 02118, Tel 617 638 8384, Email jweuve@bu.edu

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