Evidence map›Paper›PMID 40480603›Full record

ArticleOsteoarthritis and cartilage2025

Ultra-processed food consumption is associated with knee osteoarthritis: Data from the Osteoarthritis Initiative.

Zehra Akkaya, Wynton M Sims, John A Lynch, Maximilian T Löffler, Felix Gassert, Michael Nevitt, Charles E McCulloch, Nancy E Lane, Valentina Pedoia, Katharina Ziegeler and 2 more

Abstract read
In one paragraph

Article in Osteoarthritis and cartilage, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The gut-joint axis in osteoarthritis.Nature reviews. Rheumatology · 2026
    Review
  2. Review
  3. 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

12 authors.

Zehra AkkayaDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA; Department of Radiology, Ankara University, Ankara, Turkey. Electronic address: zehraakkaya@gmail.com.
Wynton M SimsDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA. Electronic address: wynton.sims@ucsf.edu.
John A LynchDepartment of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA. Electronic address: John.lynch@ucsf.edu.
Maximilian T LöfflerDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA; Department of Radiology, Klinikum Rechts der Isar, School of Medicine Technical University of Munich, Munich, Germany; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg im Breisgau, Germany. Electronic address: M_loeffler@web.de.
Felix GassertDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA; Department of Radiology, Klinikum Rechts der Isar, School of Medicine Technical University of Munich, Munich, Germany. Electronic address: Felix.gassert@tum.de.
Michael NevittDepartment of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA. Electronic address: Michael.nevitt@ucsf.edu.
Charles E McCullochDepartment of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA. Electronic address: Charles.mcculloch@ucsf.ed.
Nancy E LaneDepartment of Medicine, University of California, Davis, Sacramento, CA, USA. Electronic address: nelane@ucdavis.edu.
Valentina PedoiaDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA. Electronic address: Valentina.pedoia@ucsf.edu.
Katharina ZiegelerDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA. Electronic address: Katharina.ziegeler@ucsf.edu.
Thomas M LinkDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA. Electronic address: Thomas.link@ucsf.edu.
Gabby B JosephDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA. Electronic address: Gabby.joseph@ucsf.edu.

Funding

Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wenhan Chang · 2019 to 2026
$7.1M
Understanding the mechanisms by which weight change affects progression of knee osteoarthritis in obese and overweight individuals: An analysis of the Osteoarthritis Initiative DatasetR01AR078917 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GABRIELLE JOSEPH, THOMAS M LINK · 2021 to 2026
$3.4M
The Study of Muscle, Mobility and Aging with Knee OAR01AG070647 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Nancy E Lane · 2021 to 2026
$2.5M
Impact of Weight loss on Knee Joint Biochemical and Structural DegenerationR01AR064771 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINK, THOMAS M · 2014 to 2019
$1.6M
NIAMS NIH HHS P30 AR075055NIAMS NIH HHS R01 AR064771NIAMS NIH HHS R01 AR078917NIA NIH HHS R01 AG070647
6 · The paper itself

Abstract

objectiveTo explore the relationship between ultra-processed food (UPF) intake and knee osteoarthritis (KOA)-related imaging and clinical outcomes in men and women.

designOsteoarthritis Initiative participants with sufficient dietary and sociodemographic data (n = 4403) were included in this cross-sectional study. UPF was assessed by food frequency questionnaire-based NOVA Classification, categorizing diet according to processing level, with NOVA-4 indicating UPF. The exposure variable was standardized UPF proportion/day (%)-the proportion of NOVA-4 servings in the daily diet. The outcomes were Western Ontario and McMaster University OA Index (WOMAC) pain, activities of daily living (ADL), stiffness, total scores, average cartilage thickness (quantified using 3D-dual echo steady-state sequences on 3T MRI), Chair Stand Test (CST) and gait speed. Mixed effects and linear regression models were used for knee-level and participant-level outcomes, respectively. Models were adjusted for age, race, BMI, daily calories, physical activity, and medical insurance availability. Sex differences were tested by interactions between UPF and sex.

resultsSex interactions were significant for WOMAC-pain, ADL, total, gait speed, cartilage thickness (p-interaction-range < 0.001-0.006). Greater UPF was associated with significantly worse pain (β = 0.17 [0.093, 0.242], p < 0.001), ADL (β = 0.59 [0.365, 0.832], p < 0.001), total scores (β = 0.81 [0.483, 1.13], p < 0.001), thinner cartilage (β = -0.013 [-0.02, -0.006], p < 0.001), slower gait (β = -0.035 [-0.042, -0.027], p < 0.001) in women. Sex interactions were non-significant for CST and WOMAC-stiffness (p-interaction = 0.319, 0.573, respectively). With greater UPF, CST and WOMAC-stiffness showed significant poor outcomes (β = -0.008 [-0.013, -0.004], p < 0.001, β = 0.04 [0.008, 0.064], p = 0.011, respectively). WOMAC-stiffness results were not significant after Bonferroni corrections.

conclusionsUPF-rich diet is linked to worse KOA outcomes disproportionately more in women.

Indexed as

Fast FoodsOsteoarthritis, KneeActivities of Daily LivingAgedCartilage, ArticularCross-Sectional StudiesFemaleFood, ProcessedHumansMagnetic Resonance ImagingMaleMiddle AgedSex FactorsCartilageDietMRIOsteoarthritisUltra-processed food

Identifiers

PMID40480603
PMCPMC12353177

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.