Evidence map›Paper›PMID 41212651›Full record

ArticleJournal of Alzheimer's disease : JAD2026

Obesity, cardiometabolic health status, and brain health in community-dwelling older adults.

Kathryn H Alphin, Cynthia K Suerken, Marc D Rudolph, Sarah Gaussoin, Samuel N Lockhart, Suzanne Craft, Tina E Brinkley

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kathryn H AlphinDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0009-0005-3215-0876
Cynthia K SuerkenDepartment of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0002-8589-524X
Marc D RudolphDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0001-7046-1169
Sarah GaussoinDepartment of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0003-0850-7888
Samuel N LockhartDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0002-0893-5420
Suzanne CraftDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0003-0591-8657
Tina E BrinkleyDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0002-1905-758X

Funding

Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
NIA NIH HHS P30 AG072947
6 · The paper itself

Abstract

BackgroundThough mid-life obesity is a known risk factor for dementia, how obesity in late life impacts brain health is not well understood, especially in the presence of comorbid risk factors like hypertension (HTN) and impaired glucose tolerance (IGT).ObjectiveWe investigated associations between obesity, neuroimaging measures, and cognition in middle aged and older adults, specifically testing whether higher body mass index (BMI), waist circumference (WC), and waist-to-hip ratio are associated with brain health independent of HTN and IGT.MethodsA total of 599 participants with brain MRI, cognitive testing, and anthropometric measurements were examined. Chi square and one-way ANOVA tests were performed to compare participant characteristics across BMI categories. Linear regression models assessed relationships between anthropometric, neuroimaging, and cognitive outcomes with and without adjustment for relevant covariates. We also explored interactions between anthropometric measures and

Indexed as

BrainHealth StatusObesityAgedAged, 80 and overBody Mass IndexCerebrovascular CirculationCognitionFemaleHumansIndependent LivingMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsWaist CircumferenceagedAlzheimer's diseasebraincognitiondiagnostic imagingmagnetic resonance imagingwhite matter

Identifiers

PMID41212651
PMCPMC13654192

What OpenQuestion holds

Textmetadata
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.