Evidence map›Paper›PMID 40215425›Full record

Observational studyNeurology2025

Association of Body Mass Index in Late Life, and Change from Midlife to Late Life, With Incident Dementia in the ARIC Study Participants.

Ethan J Cannon, B Gwen Windham, Michael Griswold, Priya Palta, David S Knopman, Sanaz Sedaghat, Pamela L Lutsey

Abstract readObservational Study
In one paragraph

Observational study in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Does lifestyle intervention lower clinically significant cognitive impairment risk?Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Trial
  2. Trial
  3. Effects of obesity on brain health and cognition.Nature reviews. Neurology · 2026
    Review
  4. Article
  5. 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

7 authors.

Ethan J CannonDivision of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis.ORCID 0009-0001-1715-9152
B Gwen WindhamDivision of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson.ORCID 0000-0001-6240-5044
Michael GriswoldDivision of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson.ORCID 0000-0001-8106-5516
Priya PaltaDepartment of Neurology, University of North Carolina, Chapel Hill; and.ORCID 0009-0006-7153-5100
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-6544-066X
Sanaz SedaghatDivision of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis.ORCID 0000-0002-8296-1811
Pamela L LutseyDivision of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis.ORCID 0000-0002-1572-1340

Funding

ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
Mentoring and Research in Patient-Oriented Cardiovascular PharmacoepidemiologyK24HL159246 · NHLBI · UNIVERSITY OF MINNESOTA · PI PAMELA L. Lutsey · 2021 to 2026
$644k
NHLBI NIH HHS K24 HL159246NHLBI NIH HHS U01 HL096812
6 · The paper itself

Abstract

BACKGROUND AND

objectivesMidlife obesity is a risk factor of dementia, but late-life obesity has been associated with lower dementia risk. We investigated this paradox by exploring the relationship between late-life body mass index (BMI) category and dementia, with and without considering midlife to late-life BMI change.

methodsThis observational cohort study included participants of the community-based Atherosclerosis Risk in Communities (ARIC) study who were dementia-free at visit 5 (2011-2013). Dementia was ascertained by expert-adjudicated, algorithmic classification from an in-person neuropsychological battery, as well as telephone interviews and International Classification of Diseases codes from medical records. We first assessed the association of incident dementia with visit 5 BMI categories (normal weight, overweight, obese). Next, we used a cross-classification of visit 5 BMI categories with visit 4-visit 5 BMI change (decrease [loss of ≥2 kg/m

resultsA total of 5,129 participants were included in the study (59% female; 22% identified as Black; mean (standard deviation) age at visit 5 of 75 (5) years). Over 8 years of follow-up, 20% of the sample developed dementia (n = 1,026). After covariate adjustment, participants with high late-life BMI had a lower risk of dementia; the hazard ratio (95% CI) was 0.86 (0.73-1.00) for overweight and 0.81 (0.68-0.96) for obesity. In stratified models, elevated dementia risk was observed only for participants of each late-life BMI category whose BMI had decreased from midlife to late life. Compared with normal-weight individuals who had maintained BMI from midlife to late life, the hazard ratio (95% CI) for those with BMI loss was 2.08 (1.62-2.67) for normal-weight individuals, 1.62 (1.25-2.10) for those with overweight, and 1.36 (1.00-1.85) for those with obesity. DISCUSSION: Our results provide insight into the dementia obesity paradox at older ages, tempering a causal interpretation of high late-life BMI as protective against dementia. Instead, they highlight the importance of considering weight loss from midlife to late life in conjunction with late-life BMI in dementia risk stratification.

Indexed as

Body Mass IndexDementiaObesityAgedAged, 80 and overCohort StudiesFemaleHumansIncidenceMaleMiddle AgedRisk Factors

Identifiers

PMID40215425
PMCPMC11998017

What OpenQuestion holds

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Registered trials

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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.