Evidence mapPaperPMID 40445244Full record

ArticleEuropean journal of nutrition2025

Plant-based diets, legumes, and prevalence of cardiometabolic risk factors in the NutriNet-Santé cohort.

Fie Langmann, Clémentine Prioux, Mathilde Touvier, Emmanuelle Kesse-Guyot, Léopold K Fezeu, Julia Baudry, Christina C Dahm, Benjamin Allès

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Article in European journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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4 · The record

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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.

Fie LangmannDepartment of Public Health, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-3474-9346
Clémentine PriouxCenter 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.ORCID http://orcid.org/0009-0005-8823-2870
Mathilde TouvierCenter 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.ORCID http://orcid.org/0000-0002-8322-8857
Emmanuelle Kesse-GuyotCenter 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.ORCID http://orcid.org/0000-0002-9715-3534
Léopold K FezeuCenter 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.ORCID http://orcid.org/0000-0002-7589-3179
Julia BaudryCenter 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.ORCID http://orcid.org/0000-0002-7919-6039
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-0481-2893
Benjamin AllèsCenter 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. b.alles@eren.smbh.univ-paris13.fr.ORCID http://orcid.org/0000-0002-7970-171X

Funding

Christian og Ottilia Brorsons Rejselegat for yngre videnskabsmænd- og kvinder 12038-1Etly og Jørgen Stjerngrens Fond Etly og Jørgen Stjerngrens FondRaimond og Dagmar Ringgård-Bohns Fond Raimond og Dagmar Ringgård-Bohns FondSundhedsvidenskabelige Fakultet, Aarhus Universitet 34503Th. Maigaards Eftf. Fru Lily Benthine Lunds Fond af 1.6. 1978 Th. Maigaards Eftf. Fru Lily Benthine Lunds Fond af 1.6. 1978Torben og Alice Frimodts Fond Torben og Alice Frimodts Fond
6 · The paper itself

Abstract

purposeLegumes are protein-rich foods with health benefits and low environmental impact. This study investigated associations between legume consumption, in isolation or as part of plant-based dietary patterns, and cardiometabolic risk factors.

methodsThis cross-sectional study used a subsample of the NutriNet-Santé cohort who completed three 24-hour dietary recalls at baseline (2009-2011) and underwent clinical and biochemical examinations (2011-2014, N = 16,358). Multivariable-adjusted Poisson regression analyses estimated prevalence ratios (PR) for associations between legume consumption and low high-density lipoprotein (HDL) cholesterol, elevated waist circumference, blood pressure, blood glucose, serum triglycerides, total cholesterol, or low-density lipoprotein (LDL) cholesterol. Associations with healthy and unhealthy plant-based diet indices were also assessed, stratified by ultra-processed food consumption or sex.

resultsHigh compared to low legume consumption was not significantly associated with lower prevalence of low HDL (PR: 1.18, 95% CI: 0.90; 1.53), elevated waist circumference (PR: 1.01, 95% CI: 0.90; 1.14), blood pressure (PR: 1.01, 95% CI: 0.93; 1.11), blood glucose (PR: 1.13, 95% CI: 0.92; 1.40), serum triglycerides (PR: 1.00, 95% CI: 0.76; 1.30), total cholesterol (PR: 0.97, 95% CI: 0.81; 1.15), or LDL cholesterol (PR: 0.93, 95% CI: 0.79; 1.08). However, adherence to the healthy plant-based diet index was associated with lower prevalences of all risk factors, and the opposite for the unhealthy plant-based diet index. Associations were not modified by ultra-processed food consumption or sex.

conclusionsDietary patterns rich in legumes, whole grains, fruits, vegetables, and nuts were associated with lower prevalences of cardiometabolic risk factors, while legumes in isolation were not.

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesDiet, VegetarianFabaceaeAdultBlood GlucoseBlood PressureCohort StudiesCross-Sectional StudiesDiet, Plant-BasedFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsBlood GlucoseTriglyceridesCardiometabolic healthDietary pulsesLegumesPlant-based dietUltra-processed food

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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.