Abstract
Purpose: We examined the association of Stroke Belt birth state with late-life cognition in The Study of Healthy Aging in African Americans (STAR). Methods: STAR enrolled 764 Black Americans ages 50+ who were long-term Kaiser Permanente Northern California members. Participants completed Multiphasic Health Check-ups (MHC; 1964–1985) where early-life overweight/obesity, hypertension, diabetes, and hyperlipidemia were measured. At STAR (2018), birth state, self-reported early-life socioeconomic status (SES), and executive function, verbal episodic memory, and semantic memory scores were collected. We used linear regression to examine the association between Stroke Belt birth and late-life cognition adjusting for birth year, gender, and parental education. We evaluated early-life SES and cardiovascular risk factors (CVRF) as potential mechanisms. Results: Twenty-seven percent of participants were born in the Stroke Belt with a mean age of 69 (standard deviation = 9) at STAR. Stroke Belt birth was associated with worse late-life executive function (β [95% confidence interval]: −0.18 [−0.33, −0.02]) and semantic memory (−0.37 [−0.53, −0.21]), but not verbal episodic memory (−0.04 [−0.20, 0.12]). Adjustment for SES and CVRF attenuated associations of Stroke Belt birth with cognition (executive function [−0.05 {−0.25, 0.14}]; semantic memory [−0.28 {−0.49, −0.07}]). Conclusions: Black Americans born in the Stroke Belt had worse late-life cognition than those born elsewhere, underscoring the importance of early-life exposures on brain health.
| Original language | English |
|---|---|
| Pages (from-to) | 26-32 |
| Number of pages | 7 |
| Journal | Annals of Epidemiology |
| Volume | 64 |
| DOIs | |
| State | Published - Dec 2021 |
Funding
Dr. George was supported by the National Institutes of Health (NIH)/ National Institute on Aging (NIA) Neuroscience of Cognitive Aging Training Grant ( T32AG050061 ). This work was funded by the NIH/NIA under grant numbers RF1AG05078202 (PI: Whitmer) and R00AG053410 (PI: Mayeda).
| Funder number |
|---|
| R00AG053410, T32AG050061, RF1AG050782 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Alzheimer disease
- Cardiovascular diseases
- Cerebrovascular disease
- Cognitive dysfunction
- Dementia
- Health status disparities
- Heart disease risk factors
- Minority health
- Social determinants of health
- Socioeconomic status
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