Evidence map›Paper›PMID 40447055›Full record

ArticleThe Journal of nutrition2025

Dietary Choline Intake and Risk of Alzheimer's Dementia in Older Adults.

Tasija Karosas, Taylor C Wallace, Muya Li, Yongyi Pan, Puja Agarwal, David A Bennett, Paul F Jacques, Mei Chung

Abstract read
In one paragraph

Article in The Journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Functional PET imaging of gut microbiota with [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Effect of choline supplementation in presymptomaticAlzheimer's & dementia (New York, N. Y.)
    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

8 authors.

Tasija KarosasGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States; International Life Sciences Institute, Washington, DC, United States.
Taylor C WallaceGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States; Think Healthy Group, LLC, Washington, DC, United States; School of Medicine and Health Sciences, George Washington University, Washington, DC, United States.
Muya LiGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Yongyi PanGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Puja AgarwalRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States.
Paul F JacquesGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States; USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, United States.
Mei ChungGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States. Electronic address: mei_chun.chung@tufts.edu.

Funding

EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
NIA NIH HHS R01 AG017917
6 · The paper itself

Abstract

backgroundDietary choline intake has been associated with a lower risk of cognitive dysfunction, lessened brain white-matter hyperintensity volume, and a reduced risk of incident dementia.

objectivesThis study aims to evaluate the relationship between dietary choline intake and risk of clinical diagnosis of Alzheimer's dementia (AD) in participants enrolled in the Rush Memory and Aging Project prospective cohort.

methodsParticipants who were free of AD at baseline and had completed ≥1 food frequency questionnaire were included in the present analyses. Clinical AD was assessed among participants annually using a 3-stage process of neurological examinations and standardized diagnostic criteria. Dietary choline intake was quantified using the United States Department of Agriculture Database for the Choline Content of Common Foods. Multivariable Cox proportional hazard models were used to assess risk of incident of AD by quantiles of dietary choline intake. Mixed-effect Poisson regression models were used to investigate potential nonlinear relationships.

resultsMean baseline age of the study participants (N = 991) was 81.4 (±7.2) y. During a mean follow-up of 7.67 y, 266 participants (27%) were clinically diagnosed with AD (incident rate = 38/1000 person-year). In the fully adjusted model, compared with the lowest quantile of dietary choline intake, consumption of 200-250, 251-300, 301-350, and >350 mg/d were associated with a 23% [hazard ratio (HR): 0.73; 95% confidence interval (CI): 0.45, 1.17; P = 0.10], 40% (HR = 0.60; 95% CI: 0.60, 0.98; P = 0.04), 38% (HR = 0.62; 95% CI: 0.36, 1.07; P = 0.09), and 51% (HR: 0.49; 95% CI: 0.25, 0.95; P = 0.04) reduced rate of AD, respectively. Results of the curve linear Poisson regression model showed the point of lowest risk for AD to be ∼350 mg/d with effects being similar based on apolipoprotein E gene genotype.

conclusionsDietary choline intake ∼ 350 mg/d was associated with the lowest risk of clinical diagnosis of AD in older adults.

Indexed as

Alzheimer DiseaseCholineDietAgedAged, 80 and overFemaleHumansMaleProportional Hazards ModelsProspective StudiesRisk FactorsCholineAlzheimer’s diseaseapolipoproteinsbraincholinecognitive dysfunctiondementia

Identifiers

PMID40447055
PMCPMC12493116

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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.