Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort
Université Sorbonne Paris Nord · Inserm · +4 more institutions
Abstract
Ultraprocessed foods (UPF) are widespread in Western diets. Their consumption has been associated in recent prospective studies with increased risks of all-cause mortality and chronic diseases such as cancer, cardiovascular diseases, hypertension, and dyslipidemia; however, data regarding diabetes are lacking.
To assess the associations between consumption of UPF and risk of type 2 diabetes (T2D). Design, Setting, and Participants: In this population-based prospective cohort study, 104 707 participants aged 18 years or older from the French NutriNet-Santé cohort (2009-2019) were included. Dietary intake data were collected using repeated 24-hour dietary records (5.7 per participant on average), designed to register participants' usual consumption for more than 3500 different food items. These were categorized according to their degree of processing by the NOVA classification system. Main Outcomes and Measures: Associations between UPF consumption 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).
Citation impact
- FWCI
- 52.67
- Percentile
- 100%
- References
- 88
Authors
13- BSBernard SrourCorresponding
Université Sorbonne Paris Nord, Inserm, Centre de Recherche Épidémiologie et Statistique
- LFLéopold Fezeu
Inserm, Centre de Recherche Épidémiologie et Statistique, Université Sorbonne Paris Nord
- EKEmmanuelle Kesse‐Guyot
Inserm, Centre de Recherche Épidémiologie et Statistique, Université Sorbonne Paris Nord
- BABenjamin Allès
Université Sorbonne Paris Nord, Centre de Recherche Épidémiologie et Statistique, Inserm
- CDCharlotte Debras
Centre de Recherche Épidémiologie et Statistique, Université Sorbonne Paris Nord, Inserm
Topics & keywords
- Medicine
- Hazard ratio
- Type 2 diabetes
- Prospective cohort study
- Population
- Environmental health
- Proportional hazards model
- Cohort
- Zero hunger