Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03335644 (The NutriNet-Santé Study. A Web-based Prospective Cohort Study of the Relationship Between Nutrition and Health and of Dietary Patterns and Nutritional Status Predictors), which is not on this map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing 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.
The NutriNet-Santé Study. A Web-based Prospective Cohort Study of the Relationship Between Nutrition and Health and of Dietary Patterns and Nutritional Status Predictors
TypeobservationalSponsorUniversity of Paris 13Ran2009 to 2029Enrolled170,000ConditionsDiet, Food, and Nutrition, Exercise, Diseases Category, Cohort Studies
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.
Anaïs HasenböhlerUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France. anais.hasenbohler@eren.smbh.univ-paris13.fr.ORCID http://orcid.org/0009-0008-3256-8836
Guillaume JavauxUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0009-0001-9005-9094
Marie Payen de la GaranderieUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0009-0006-9449-7805
Fabien Szabo de EdelenyiUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-8487-6557
Laurent BourhisUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.
Cédric AgaësseUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-6159-4717
Alexandre De SaUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.
Chantal JuliaUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0003-2006-5269
Emmanuelle Kesse-GuyotUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-9715-3534
Benjamin AllèsUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-7970-171X
Léopold K FezeuUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-7589-3179
Serge HercbergUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-3168-1350
Mélanie Deschasaux-TanguyUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-3359-420X
Emmanuel CossonUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-8785-3385
Sopio TatulashviliUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0001-7358-8667
Bernard SrourUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.ORCID http://orcid.org/0000-0002-1277-3380
Mathilde TouvierUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France. m.touvier@eren.smbh.univ-paris13.fr.ORCID http://orcid.org/0000-0002-8322-8857
Funding
EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) grant agreement No 864219, ADDITIVESEC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) grant agreement No. ERC-2018-StG- 804135 INVADERSEC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) grant agreement No. ERC-2024-CoG-101170920Fondation Bettencourt Schueller (Bettencourt Schueller Foundation) Research Prize 2021Institut National de la Santé et de la Recherche Médicale (National Institute of Health and Medical Research) MicrobioteInstitut National Du Cancer (French National Cancer Institute) INCa_14059World Health Organization 001
6 · The paper itself
Abstract
Experimental studies suggested potential adverse effects of preservative food additives, but epidemiological data are lacking. We aim to investigate associations between exposure to these compounds and type 2 diabetes incidence in the NutriNet-Santé prospective cohort (n = 108,723; 79.2%women; mean age=42.5 (SD = 14.6); France, 2009-2023). Dietary intakes are assessed using repeated 24h-dietary records. Exposure is evaluated through multiple composition databases and ad-hoc laboratory assays in food matrices. Associations between cumulative exposures to preservatives and diabetes incidence are characterised using multi-adjusted Cox models. The sum of total preservatives encompasses 58 substances. Among those, 17 are consumed by at least 10% of the study population and thus individually investigated. Thirteen (12 after multiple test correction) widely used individual preservatives are associated with higher diabetes incidence (n=1131cases): potassium sorbate, potassium metabisulfite, sodium nitrite, acetic, citric and phosphoric acids, sodium acetates, calcium propionate, sodium ascorbate, alpha-tocopherol, sodium erythorbate, and rosemary extracts. These findings call for their safety re-evaluation and support recommendations to favour fresh and minimally processed foods without superfluous additives. Trial registration: The NutriNet-Santé cohort is registered at clinicaltrials.gov (NCT03335644).
Indexed as
Diabetes Mellitus, Type 2Food AdditivesFood PreservativesAdultFemaleFranceHumansIncidenceMaleMiddle AgedProspective StudiesFood AdditivesFood Preservatives
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.
Associations between preservative food additives and type 2 diabetes incidence in the NutriNet-Santé prospective cohort. · full record | OpenQuestion