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Completed OTHER RESEARCH-RELATED NIH (US)

Community Empowerment, Vascular Risk, and ADRD Disparities: Translating Research to Public Policy

$1.22M USD

Funder NATIONAL INSTITUTE ON AGING
Recipient Organization Boston University Medical Campus
Country United States
Start Date Sep 01, 2023
End Date Aug 31, 2025
Duration 730 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10723077
Grant Description

PROJECT SUMMARY ABSTRACT By 2050, racial disparities will persist among the projected 11 million adults with Alzheimer’s Disease and Related Dementias (AD/ADRD). Prior research links racial segregation to AD/ADRD, highlighting the need for structural solutions to mitigate the racially patterned cardiovascular disease (CVD) burden that

accelerates AD/ADRD onset. Economic disinvestment prevents Black, poor, and Stroke Belt neighborhoods from investing in their local infrastructure, while systemic barriers lead to political disenfranchisement among the very historically excluded groups who would benefit most from effective health policy. However, it is not known how disinvestment and disenfranchisement—factors produced by

structural racism—contribute to AD/ADRD disparities via excess CVD risk. This proposed K99/R00 harnesses the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study, Health and Retirement Study (HRS), and administrative claims from Medicare Beneficiaries. For my K99 phase, I will identify indicators of economic disinvestment and political

disenfranchisement that worsen AD/ADRD trajectories and widen racial disparities in REGARDS and HRS. Then I will use these results to calculate the population attributable fraction of disinvestment and disenfranchisement on AD/ADRD among Medicare Beneficiaries. During my R00 phase, I will analyze the

mediating role of CVD in associations of disinvestment or disenfranchisement and incident AD/ADRD in Medicare claims. Finally, I will utilize the CVD Policy Model to forecast nationwide community empowerment policies to reduce CVD risk factors for AD/ADRD up to three decades in the future. Building upon my foundation of data science, causal inference, and CVD epidemiology, my training plan

consists of new knowledge domains: 1) AD/ADRD science, 2) spatial modeling, 3) Medicare claims, and 4) estimation of public health impact attainable with structural interventions. Based at the richly resourced University of California, San Francisco, I have assembled a team of distinguished mentors with the ideal combination of expertise to facilitate my success. The integrated

science, training, mentorship, and professional development will prepare me for a faculty position at an R1 institution. My longterm goal is to become an independent investigator who develops interventions and policies to prevent AD/ADRD among low-income, Black, and Stroke Belt communities.

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Boston University Medical Campus

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