Medellena Glymour
Boston University, MA·Public Health & Epidemiology
Researchers have proposed that addressing changeable risk factors could prevent up to 40% of cases of Alzheimer's disease and related dementias (AD/ADRD). But most of that evidence comes from observational data, which can mislead.
- Fields
Public Health & Epidemiology
Mathematics & Statistics
Social Science
- Topics
Alzheimer's disease
dementia
cognitive aging
- Grants
- 3 known grants, through Aug 2029
What they work on
- Estimate how low-risk drinking, unhealthy drinking and alcohol use disorder each affect dementia risk, triangulating across ten cohorts, including Kaiser Permanente records and the UK Biobank, using doubly robust and instrumental variable methods.
- Test whether dementia risk depends on drink type, binge or blackout drinking, years of drinking, and personal factors such as genetic risk, sex, education, cannabis or medication use.
- Estimate how much dementia across U.S. adults and higher-risk subgroups could be prevented by changes in alcohol use, using population attributable fractions (the share of cases due to a risk factor) and transport estimators.
- Strengthen causal evidence on depression, vision and hearing impairment, and social isolation as dementia risk factors in the TIME-AD program, comparing genetic and policy natural experiments with observational models.
- Study how race and ethnicity, rural residence, disability, life-course social resources and policies shape dementia onset and outcomes, through BU-SHARP pilot projects and interdisciplinary collaboration.
More about the research
Hidden factors can explain the link (confounding), early dementia can change the behavior itself (reverse causation), and measurements can be wrong. The lab's work asks which risk factors truly cause dementia and how much prevention is actually possible. It also asks why dementia falls unevenly across populations. The projects range from a large methods-focused program to a study of alcohol to a hub that builds population research on cognitive aging.
Why it matters
Dementia prevention depends on knowing which risk factors actually cause disease. This work could tell clinicians and policymakers whether reducing drinking, treating depression, correcting vision or hearing loss, or reducing social isolation would lower dementia rates. It could also show which groups would benefit most. The aim is to guide prevention strategies and policy, and to help reduce disparities in cognitive aging by race, rural residence and disability.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Project 1: Alcohol use and AD/ADRD risk: innovative methods and data for new insights
NIH · Sep 2024 – Aug 2029
Improving causal inference in Alzheimer's Disease prevention research on modifiable risk factors: the Triangulation of Innovative Methods to EndAD (TIME-AD) project
NIH · Sep 2024 – Aug 2029
The Boston University-Quantitative Population Science and Healthy Cognitive Aging Research Program (BU-SHARP)
NIH · Jun 2026 – Aug 2027
Closest labs
Willa Brenowitz
Boston University, MA·Public Health & Epidemiology
Estimate whether hearing and vision impairments increase the risk of Alzheimer's disease and related dementias, applying causal inference methods and data triangulation across three longitudinal cohort studies.
Peng Liu
Iowa State University, IA·Mathematics & Statistics
Develop functional regression models for imaging outcomes built on a distributed learning framework, so that estimation and inference stay accurate yet scalable for large imaging datasets.
Ethan Cicero
Emory University, GA·Public Health & Epidemiology·Early-career
Examine the epidemiology of Alzheimer's disease and related dementias among middle-aged and older adults from under-resourced communities, including people receiving hormone replacement therapy, using Kaiser Permanente electronic health record data from the STRONG study.
The school
Boston University: 26 labs on PI Pages, $784M a year on research, 630 research doctorates a year.
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