Observational studyPLoS medicine2023
Dietary exposure to nitrites and nitrates in association with type 2 diabetes risk: Results from the NutriNet-Santé population-based cohort study.
Observational study in PLoS medicine, 2023. 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 30 papers, 2 of them syntheses that pooled 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.
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
Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- Ultra-processed food intake and risk of type 2 diabetes: a pooled analysis of three prospective cohorts of Korean adults and an updated meta-analysis.European journal of epidemiology · 2025Pooled it
- Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses.BMJ (Clinical research ed.) · 2024Pooled it
- Eating jetlag based on meal timing discrepancies and risk of cardiovascular disease using the prospective cohort NutriNet-Santé.Communications medicine · 2026Article
- Review
- Review
- Assessing the role of ultra-processed foods in colorectal cancer incidence: insights from the EPIC cohort.BMC public health · 2026Article
- The association of nitrate exposure with bone mineral density in adolescents aged 12 to 19: A cross-sectional study.Medicine · 2026Article
- Dietary Nitrate Intake and 16S rRNA-Inferred Nitrite-Generating Capacity of the Subgingival Microbiome May Influence Glucose Metabolism: Results From the Oral Infections Glucose Intolerance and Insulin Resistance Study (ORIGINS).Journal of clinical periodontology · 2026Article
- A Clinician's Guide for Trending Cardiovascular Nutritional Controversies in 2026.JACC. Advances · 2026Review
- Association of Dietary Patterns with Incident Type 2 Diabetes Among Migrant and Nonmigrant Ghanaian Populations in the Prospective Research on Obesity and Diabetes in African Migrants (RODAM-Pros) Study.Current developments in nutrition · 2026Article
- Associations between preservative food additives and type 2 diabetes incidence in the NutriNet-Santé prospective cohort.Nature communications · 2026Article
- Not all ultra-processed foods are created equal: a review.BMJ nutrition, prevention & health · 2026Review
- Food additive mixtures in French children and adults: the nationally representative Esteban study.Scientific reports · 2025Article
- Revisiting the Link Between Meat Intake and the Risk of Type 2 Diabetes in American Indians: Insights Based on Lipidomic Profiles.Diabetes care · 2025Article
- The association between dietary intakes of nitrate with nitrite from animal and plant food sources and the incidence of metabolic syndrome: a prospective study.Nutrition journal · 2025Article
- The association between dietary intakes of nitrate with nitrite from animal and plant food sources and the incidence of pre-diabetes and type 2 diabetes: a prospective study.Nutrition & metabolism · 2025Article
- NutriNet-Brasil, a web-based prospective study on dietary patterns and risk of chronic diseases: cohort profile.BMJ open · 2025Article
- Excessive exposure to nitrate and nitrite boosts progression of isolated impaired fasting glucose to type 2 diabetes: a cohort study.Journal of diabetes and metabolic disorders · 2025Article
- Health impacts of exposure to synthetic chemicals in food.Nature medicine · 2025Review
- Food additive mixtures and type 2 diabetes incidence: Results from the NutriNet-Santé prospective cohort.PLoS medicine · 2025Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundNitrites and nitrates occur naturally in water and soil and are commonly ingested from drinking water and dietary sources. They are also used as food additives, mainly in processed meats, to increase shelf life and to avoid bacterial growth. Experimental studies suggested both benefits and harmful effects of nitrites and nitrates exposure on type 2 diabetes (T2D) onset, but epidemiological and clinical data are lacking. We aimed to study these associations in a large population-based prospective cohort study, distinguishing foods and water-originated nitrites/nitrates from those from food additives. METHODS AND
findingsOverall, 104,168 adults from the French NutriNet-Santé cohort study (2009 to 2021, 79.1% female, mean age [SD] = 42.7 [14.5]) were included. Associations between self-reported exposure to nitrites and nitrates (evaluated using repeated 24-h dietary records, linked to a comprehensive food composition database and accounting for commercial names/brands details of industrial products) and risk of T2D were assessed using cause-specific multivariable Cox proportional hazard models adjusted for known risk factors (sociodemographic, anthropometric, lifestyle, medical history, and nutritional factors). During a median follow-up duration of 7.3 years (interquartile range: [3.2; 10.1] years), 969 incident T2D cases were ascertained. Total nitrites and foods and water-originated nitrites were both positively associated with a higher T2D risk (HRtertile 3 vs.1 = 1.27 (95% CI 1.04 to 1.54), Ptrend = 0.009 and 1.26 (95% CI 1.03 to 1.54), Ptrend = 0.02, respectively). Participants with higher exposure to additives-originated nitrites (i.e., above the sex-specific median) and specifically those having higher exposure to sodium nitrite (e250) had a higher T2D risk compared with those who were not exposed to additives-originated nitrites (HR higher consumers vs. non-consumers = 1.53 (95% CI 1.24 to 1.88), Ptrend < 0.001 and 1.54 (95% CI 1.26 to 1.90), Ptrend < 0.001, respectively). There was no evidence for an association between total, foods and water-originated, or additives-originated nitrates and T2D risk (all Ptrend = 0.7). No causal link can be established from this observational study. Main limitations include possible exposure measurement errors and the lack of validation versus specific nitrites/nitrates biomarkers; potential selection bias linked to the healthier behaviors of the cohort's participants compared to the general population; potential residual confounding linked to the observational design, as well as a self-reported, yet cross-checked, case ascertainment.
conclusionsThe findings of this large prospective cohort did not support any potential benefits for dietary nitrites and nitrates. They suggested that a higher exposure to both foods and water-originated and additives-originated nitrites was associated with higher T2D risk in the NutriNet-Santé cohort. This study provides a new piece of evidence in the context of current debates about updating regulations to limit the use of nitrites as food additives. The results need to be replicated in other populations.
trial registrationClinicalTrials.gov NCT03335644 (https://clinicaltrials.gov/ct2/show/NCT03335644).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.