Evidence map›Paper›PMID 40492563›Full record

ArticleInternational journal of epidemiology2025

Protein diversity, type 2 diabetes, and effect modifiers: a multi-country prospective study.

Hadis Mozaffari, Fumiaki Imamura, Rachel A Murphy, Mahsa Jessri, Stephen J Sharp, Nita G Forouhi, Nicholas J Wareham, Daniel B Ibsen, Christina C Dahm, José María Huerta and 11 more

Abstract readMulticenter Study
In one paragraph

Article in International journal of epidemiology, 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. Article
  2. Article
  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

21 authors.

Hadis MozaffariFaculty of Land and Food Systems, University of British Columbia, Vancouver, Canada.
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID 0000-0002-6841-8396
Rachel A MurphySchool of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Mahsa JessriFaculty of Land and Food Systems, University of British Columbia, Vancouver, Canada.
Stephen J SharpMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Nita G ForouhiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID 0000-0002-5041-248X
Nicholas J WarehamMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Daniel B IbsenMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID 0000-0002-7038-4770
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus, Denmark.
José María HuertaDepartment of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain.
Esther Molina-MontesCentro de investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Daniela V NickelDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Olov RolandssonDepartment of Public Health and Clinical Medicine, Family Medicine, Umeå University, 90187, Umeå, Sweden.
Carlotta SacerdoteUnit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy.ORCID 0000-0002-8008-5096
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.ORCID 0000-0002-0830-5277
Jon Ander Gonzalez-MartinOsakidetza Basque Health Service, Cruces University Hospital, Preventive Medicine Deparment, Barakaldo, Spain.
Marcela GuevaraCentro de investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Peter M NilssonDepartment of Clinical Sciences and Medicine, Lund University, University Hospital Malmö, Malmö, Sweden.
Salvatore PanicoDipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy.ORCID 0000-0002-5498-8312
Anna WinkvistSustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Annalijn I ConklinFaculty of Land and Food Systems, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-6532-8790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary diversity may affect type 2 diabetes (T2D) but no studies have examined protein diversity by source. We examined five diversity scores and the 10-year risk of T2D and effect modification.

methodsA prospective study of 10 363 incident T2D cases and a representative sub-cohort of 13 937 individuals sampled from a cohort of 340 234 participants in eight European countries (1993-2007). Five diversity scores were derived from self-reported diet data (gr/day): diversity of food groups (range: 0-5); and diversity within subtype of vegetables (0-4); meat/alternatives (0-6); animal-protein (0-8); and plant-protein sources (0-5). Country-specific hazard ratios (HRs) and 95% confidence intervals (CIs) were obtained by using Prentice-weighted Cox regression and combined by using mixed-effects models. Models were stratified by sex (male/female) and obesity status (body mass index ≥ 30 kg/m2; waist circumference ≥ 88 cm for females and ≥102 cm for males).

resultsDaily intake of five food groups (versus up to three) was linked to lower T2D incidence overall [HR 0.86 (95% CI 0.75, 0.98)], in females [0.86 (0.77, 0.96)], and in people without central obesity [0.79 (0.70, 0.89)]. Three or more subtypes of plant protein were inversely associated with T2D overall [0.78 (0.65, 0.98)], in females [0.75 (0.62, 0.90)] and people without central obesity [0.82 (0.68, 1.00)]. Additionally, consuming three subtypes of vegetables was inversely associated with T2D overall [0.90 (0.83, 0.98)] and in males [0.85 (0.73, 0.99)].

conclusionDiabetes prevention may benefit not only from a diet consisting of five different food groups, but also from a diet that is diverse in plant-protein sources, with specific benefits for female Europeans and those without central obesity.

Indexed as

Diabetes Mellitus, Type 2DietDietary ProteinsAdultAgedBody Mass IndexEuropeFemaleHumansIncidenceMaleMeatMiddle AgedObesityProportional Hazards ModelsProspective StudiesDietary Proteinscase–cohort studydietary diversityprotein diversitytype 2 diabetes

Identifiers

PMID40492563
PMCPMC12150025

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.