Evidence map›Paper›PMID 39529810›Full record

ArticleThe Lancet regional health. Europe2024

Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC).

Samuel J Dicken, Christina C Dahm, Daniel B Ibsen, Anja Olsen, Anne Tjønneland, Mariem Louati-Hajji, Claire Cadeau, Chloé Marques, Matthias B Schulze, Franziska Jannasch and 23 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  19. Not all ultra-processed foods are created equal: a review.BMJ nutrition, prevention & health · 2026
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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

33 authors.

Samuel J DickenCentre for Obesity Research, Department of Medicine, University College London (UCL), London WC1E 6JF, UK.
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Daniel B IbsenDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Anja OlsenDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Anne TjønnelandDanish Cancer Institute, Copenhagen, Denmark.
Mariem Louati-HajjiParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Claire CadeauParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Chloé MarquesParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Franziska JannaschDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Ivan BaldassariDepartment of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Luca ManfrediCentre for Biostatistics, Epidemiology, and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, Regione Gonzole 10, Orbassano (TO), Italy.
Maria Santucci de MagistrisA.O.U. Federico II, Naples, Italy.
Maria-Jose SánchezEscuela Andaluza de Salud Pública (EASP), Granada 18011, Spain.
Carlota Castro-EspinUnit of Nutrition and Cancer, Catalan Institute of Oncology-ICO, L'Hospitalet de Llobregat, Barcelona, Spain.
Daniel Rodríguez PalaciosDepartment of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain.
Pilar AmianoMinistry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain.
Marcela GuevaraInstituto de Salud Pública y Laboral de Navarra, Pamplona 31003, Spain.
Yvonne T van der SchouwJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Jolanda M A BoerNational Institute for Public Health and the Environment, Bilthoven, the Netherlands.
W M Monique VerschurenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Stephen J SharpMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge Clinical School, Cambridge, UK.
Nita G ForouhiMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge Clinical School, Cambridge, UK.
Nicholas J WarehamMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge Clinical School, Cambridge, UK.
Eszter P VamosPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W12 0BZ, UK.
Kiara ChangPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W12 0BZ, UK.
Paolo VineisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Alicia K HeathDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Marc J GunterDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Geneviève NicolasNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization (IARC-WHO), Lyon, France.
Elisabete WeiderpassInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
Inge HuybrechtsNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization (IARC-WHO), Lyon, France.
Rachel L BatterhamCentre for Obesity Research, Department of Medicine, University College London (UCL), London WC1E 6JF, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: It is unknown whether the association between ultra-processed food (UPF) intake and type 2 diabetes mellitus differs from other degrees of food processing. We examined the association between degree of food processing and incident type 2 diabetes mellitus. Methods: This was a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC). Dietary intake was assessed at baseline using dietary questionnaires and classified according to the Nova classification into unprocessed/minimally processed food (MPF), processed culinary ingredients (PCI), processed food (PF) and UPF. Type 2 diabetes mellitus cases were verified through multiple methods. Cox regression and statistical substitution analysis was used to estimate associations between MPF + PCI, PF and UPF intake and incident type 2 diabetes mellitus. To investigate heterogeneity in the association between UPF and incident type 2 diabetes mellitus, UPF sub-group analysis was conducted. Different reference groups were used in each analysis. Findings: Over an average 10.9 years follow-up of 311,892 individuals, 14,236 type 2 diabetes mellitus cases were identified. Each 10% increment of total daily food intake from UPF (%g/day) was associated with 17% (95% confidence interval (95%CI): 1.14-1.19) higher incident type 2 diabetes mellitus. Each 10% increment in MPF + PCI or PF intake was associated with lower incident type 2 diabetes mellitus (MPF + PCI hazard ratio: 0.94 (95%CI: 0.92-0.96); PF hazard ratio: 0.92 (95%CI: 0.89-0.95)). Replacing UPF with MPF + PCI or PF was associated with lower incident type 2 diabetes mellitus. However, heterogeneity was observed across UPF sub-groups, with breads, biscuits and breakfast cereals, sweets and desserts, and plant-based alternatives associated with lower incident type 2 diabetes mellitus. Interpretation: These findings support recommendations to focus on reducing intake of specific UPF for lowering type 2 diabetes mellitus risk. Funding: International Agency for Research on Cancer.

Indexed as

DietEuropeFood processingNova classificationType 2 diabetes mellitusUltra-processed food

Identifiers

PMID39529810
PMCPMC11551512

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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.