Evidence map›Paper›PMID 39853453›Full record

ArticleEuropean journal of epidemiology2025

Associations of Global Burden of Diseases study-derived dietary scores with mortality and chronic disease risk: a comprehensive analysis from the prospective NutriNet-Santé study.

Emmanuelle Kesse-Guyot, Julia Baudry, Justine Berlivet, Elie Perraud, Benjamin Allès, Chantal Julia, Léopold K Fezeu, Serge Hercberg, François Mariotti, Mathilde Touvier and 1 more

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Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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.

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Emmanuelle Kesse-GuyotCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France. e.kesse@eren.smbh.univ-paris13.fr.ORCID http://orcid.org/0000-0002-9715-3534
Julia BaudryCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Justine BerlivetCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Elie PerraudCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Benjamin AllèsCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Chantal JuliaCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Léopold K FezeuCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Serge HercbergCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
François MariottiUniversité Paris-Saclay, INRAE, UMR PNCA, Palaiseau, AgroParisTech, 91120, France.
Mathilde TouvierCenter of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Hélène FouilletUniversité Paris-Saclay, INRAE, UMR PNCA, Palaiseau, AgroParisTech, 91120, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Global Burden of Diseases (GBD) network has proposed theoretical minimum risk exposure level (TMREL) for leading risk factors associated with diet that minimize the risk of morbimortality from chronic diseases. TMREL can be applied to develop follow-up or evaluation indicators in individual studies. The validity of these scores can be tested by assessing associations with health outcomes in prospective cohorts. In this study conducted within the NutriNet-Santé cohort, four dietary scores (TMREL-Risk Score, TMREL-Probability of adequacy, TMREL-standardized distance, and TMREL dietary score) using different scoring methods were developed, with higher scores reflecting less healthy diets. Associations of these scores with the risk of type 2 diabetes, cancer, cardiovascular diseases (CVD) and mortality were estimated using multivariable Cox proportional hazards models, adjusted for a wide range of covariates. Counterfactual and marginal structural models were used to infer causality. Analyses were conducted in a sample of up to103,324 participants ((78.3% women, mean age of 43.6 years old (y) (SD = 14.6)), followed for a median of 8.47 (IQR = 14.7) years (2009-2024). The association with dietary scores (for 1SD-increase) varied in magnitude for each health outcome. For mortality, HR varied from 1.12 (95%CI = 1.07-1.18, ) to 1.18 (95%CI = 1.12-1.24) for TMREL-Stdis and TMREL-DI, for overall cancer from 1.07 (95%CI = 1.03-1.12) to 1.09 (1.04-1.13) for TMREL-RS and TMREL-PA, for CVD from 1.07 (95%CI = 1.00-1.16) to 1.12 (95%CI = 1.04-1.20) for TMREL-PA and TMREL-RS, and for type 2 diabetes from 1.33 (95%CI = 1.23-1.43) to 1.47 (95%CI = 1.36-1.59) for TMREL-DI and TMREL-PA. Marginal structural Cox models strengthened all associations compared to classical analyses. Standardized survival curves showed clear associations, especially for the risk of cancer and type 2 diabetes. Dietary scores based on GBD TMREL can serve as key indicators for characterizing diet quality in relation to long-term health, and using different scoring systems helped evaluate the robustness of these associations.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2DietGlobal Burden of DiseaseMortalityNeoplasmsAdultChronic DiseaseFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsDietModelingPublic healthRisk

Identifiers

PMID39853453

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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.