Evidence map›Paper›PMID 40225700›Full record

ArticleAJPM focus2025

Patterns of Factors in the National Institute on Aging Health Disparities Research Framework Domains and Mild Cognitive Impairment Risk.

Maria Vassilaki, Jeremiah A Aakre, Timothy G Lesnick, Walter K Kremers, Jonathan Graff-Radford, David S Knopman, Thomas H Mosley, B Gwen Windham, Michael E Griswold, Yonas E Geda and 4 more

Abstract read
In one paragraph

Article in AJPM focus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Maria VassilakiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Jeremiah A AakreDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Timothy G LesnickDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Walter K KremersDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, Minnesota.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, Minnesota.
Thomas H MosleyDepartment of Medicine/Geriatrics, The Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, Mississippi.
B Gwen WindhamDepartment of Medicine/Geriatrics, The Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, Mississippi.
Michael E GriswoldDepartment of Medicine/Geriatrics, The Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, Mississippi.
Yonas E GedaDepartment of Neurology, Barrow Neurological Institute, Phoenix, Arizona.
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Ronald C PetersenDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.

Funding

Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
NIA NIH HHS R01 AG056366NIA NIH HHS R37 AG011378
6 · The paper itself

Abstract

Introduction: Alzheimer's disease and related dementias are public health and social care challenges. This study used the National Institute on Aging Health Disparities Research Framework to organize potential cognitive impairment risk factors. It aimed to examine patterns of environmental, sociocultural, behavioral, and biological factors and identify key components that predict mild cognitive impairment risk. Methods: This study comprised 2,812 participants from the Mayo Clinic Study of Aging who were cognitively unimpaired at baseline (aged ≥50 years, mean age [SD]=68.9 [9.7] years, 50.4% female). Analyses utilized a 2-stage approach using factor and principal component analyses to group factors from multiple National Institute on Aging Health Disparities Research Framework domains and identify components that predict cognitive impairment risk. Using a cohort study design, the resulting composite scores were considered as covariates for incident mild cognitive impairment analysis using Cox proportional hazards models. Results: Three principal components explained 40.30% of the variance and were differentially associated with mild cognitive impairment risk. One component (Principal Component 2), which included factors from all 4 domains of the National Institute on Aging Health Disparities Research Framework (including social, group, and playing game activities [sociocultural domain]; exercise and physical activity [behavioral domain]; education/occupation [environmental domain]; and absence of cardiometabolic risk factors/health self-rating [biological domain]), was associated with lower mild cognitive impairment risk (hazard ratio=0.80, 95% CI=0.73, 0.89). The other 2 principal components, also including factors from multiple framework domains, were associated with increased mild cognitive impairment risk. Conclusions: Derived principal components included factors from multiple framework domains, supporting the multietiology pathways leading to cognitive impairment. These principal components were differentially associated with mild cognitive impairment risk. Identifying key factors from multiple National Institute on Aging Health Disparities Research Framework domains associated with cognitive impairment risk has implications for effectively targeting interventions at multiple levels (e.g., medical, societal, policy) to avert or delay cognitive impairment risk.

Indexed as

behavioral factorsbiological factorsenvironmental factorsmild cognitive impairmentNIA Health Disparities Research Frameworksociocultural factors

Identifiers

PMID40225700
PMCPMC11987652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.