Evidence map›Paper›PMID 42021246›Full record

ArticleBMC public health2026

Assessing the role of ultra-processed foods in colorectal cancer incidence: insights from the EPIC cohort.

Jeroen Berden, Oliver Langselius, Esther M González-Gil, Jessica Blanco Lopez, Geneviève Nicolas, Bernard Srour, Christopher Millett, Eszter P Vamos, Harriet Rumgay, Kiara Chang and 24 more

Abstract read
In one paragraph

Article in BMC public health, 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
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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

34 authors.

Jeroen BerdenNutrition and Metabolism Branch, International Agency for Research On Cancer, Section of Nutrition and Metabolism, 25 Avenue Tony Garnier, CS 90627, 69366, Lyon, CEDEX 07, France. jeroen.berden@ugent.be.
Oliver LangseliusCancer Surveillance Branch, International Agency for Research On Cancer, Lyon, France.
Esther M González-GilNutrition and Metabolism Branch, International Agency for Research On Cancer, Section of Nutrition and Metabolism, 25 Avenue Tony Garnier, CS 90627, 69366, Lyon, CEDEX 07, France.
Jessica Blanco LopezNutrition and Metabolism Branch, International Agency for Research On Cancer, Section of Nutrition and Metabolism, 25 Avenue Tony Garnier, CS 90627, 69366, Lyon, CEDEX 07, France.
Geneviève NicolasNutrition and Metabolism Branch, International Agency for Research On Cancer, Section of Nutrition and Metabolism, 25 Avenue Tony Garnier, CS 90627, 69366, Lyon, CEDEX 07, France.
Bernard SrourCentre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Bobigny, F-93017, France.
Christopher MillettPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.
Eszter P VamosPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.
Harriet RumgayCancer Surveillance Branch, International Agency for Research On Cancer, Lyon, France.
Kiara ChangPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.
Mathilde TouvierCentre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Bobigny, F-93017, France.
Alicia K HeathCancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, UK.
Cecilie KyrøDanish Cancer Institute, Copenhagen, Denmark.
Chloé MarquesParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Franziska JannaschDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Matteo FrancoDepartment of Clinical and Biological Sciences, University of Turin, Orbassano, Turin, Italy.
Ana M Jimenez ZabalaMinistry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Gipuzkoa, Spain.
Anne TjønnelandDanish Cancer Institute, Copenhagen, Denmark.
Carla H van GilsJulius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, GA, the Netherlands.
Charlotte Le CornetDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Claire CadeauParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Marcela GuevaraInstituto de Salud Pública y Laboral de Navarra, Pamplona, 31003, Spain.
Maria-José SanchezCIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Mariem Hajji-LouatiParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Marta Crous-BouUnit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, 08908, Spain.
Rosario TuminoHyblean Association for Epidemiology Research, AIRE ONLUS Ragusa, Ragusa, Italy.
Valeria PalaEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.
Verena KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Guri SkeieDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Paolo VineisCancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, UK.
Pietro FerrariNutrition and Metabolism Branch, International Agency for Research On Cancer, Section of Nutrition and Metabolism, 25 Avenue Tony Garnier, CS 90627, 69366, Lyon, CEDEX 07, France.
Vivian ViallonNutrition and Metabolism Branch, International Agency for Research On Cancer, Section of Nutrition and Metabolism, 25 Avenue Tony Garnier, CS 90627, 69366, Lyon, CEDEX 07, France.
Inge HuybrechtsNutrition and Metabolism Branch, International Agency for Research On Cancer, Section of Nutrition and Metabolism, 25 Avenue Tony Garnier, CS 90627, 69366, Lyon, CEDEX 07, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have reported associations between ultra-processed food (UPF) consumption and colorectal cancer (CRC) incidence, yet the magnitude of these associations remains unclear. This study estimated the cohort-associated fraction (CAF), adapted from the population-attributable fraction metric, between UPF consumption and CRC incidence and explored the potential benefits of substituting UPFs with unprocessed or minimally processed foods.

methodsUsing data from 416,081 middle-aged adults in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, including 5,845 incident CRC cases, Cox proportional hazards models were applied to estimate associations between UPF consumption (grams/day) and CRC, colon and rectal cancer risks. Substitution analyses were also carried out to estimate associations of replacing UPFs with unprocessed or minimally processed foods, to reflect potentially more interpretable estimates. CAFs quantified the magnitude of these associations.

resultsUPF consumption was positively associated with colon cancer (HR1-SD Increment: 1.04 [95%CI: 1.01; 1.08]) and CRC (HR1-SD Increment: 1.04 [95%CI: 1.01; 1.07]) but not with rectal cancer incidence. The CAF for UPF consumption was 5.58% (95%CI: 0.55; 10.50) for colon, and 5.10% (1.10; 9.02) for CRC incidence. Substituting 1-SD of UPFs with unprocessed or minimally processed foods was inversely associated with colon cancer (HR: 0.93, [95%CI: 0.89; 0.97]) and CRC incidence (HR: 0.94, [95%CI: 0.92; 0.98]), in energy- and nutrient-adjusted models. In substitution models, the CAF increased to 9.67% (4.36; 14.85) for colon cancer and 7.30% (3.05; 11.48) for CRC incidence.

conclusionWe estimated the magnitude of associations between UPF consumption and CRC incidence, highlighting the potential public health relevance of reducing UPF intake. Given the rising consumption of UPFs and burden of CRC incidence, public health interventions and continued research are needed to address this growing issue.

Indexed as

Colorectal NeoplasmsFast FoodsAdultCohort StudiesEuropeFemaleFood, ProcessedHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsCancer epidemiologyCohort-attributable fraction (CAF)Colorectal cancer (CRC)EPIC cohortFood processingUltra-processed foods (UPF)

Identifiers

PMID42021246
PMCPMC13235047

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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.