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Dataset Information

Food additive mixtures and type 2 diabetes incidence: Results from the NutriNet-Sante prospective cohort.


ABSTRACT:

Background

Mixtures of food additives are daily consumed worldwide by billions of people. So far, safety assessments have been performed substance by substance due to lack of data on the effect of multiexposure to combinations of additives. Our objective was to identify most common food additive mixtures, and investigate their associations with type 2 diabetes incidence in a large prospective cohort.

Methods and findings

Participants (n = 108,643, mean follow-up =  7.7 years (standard deviation (SD) =  4.6), age =  42.5 years (SD =  14.6), 79.2% women) were adults from the French NutriNet-Santé cohort (2009-2023). Dietary intakes were assessed using repeated 24h-dietary records, including industrial food brands. Exposure to food additives was evaluated through multiple food

SUBMITTER: Payen de la Garanderie M 

PROVIDER: S-EPMC11977966 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature