Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort
- PMID: 31841598
- PMCID: PMC6990737
- DOI: 10.1001/jamainternmed.2019.5942
Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort
Abstract
Importance: 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.
Objective: 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).
Results: A total of 104 707 participants (21 800 [20.8%] men and 82 907 [79.2%] women) were included. Mean (SD) baseline age of participants was 42.7 (14.5) years. Absolute T2D rates in the lowest and highest UPF consumers were 113 and 166 per 100 000 person-years, respectively. Consumption of UPF was associated with a higher risk of T2D (multi-adjusted hazard ratio [HR] for an absolute increment of 10 in the percentage of UPF in the diet, 1.15; 95% CI, 1.06-1.25; median follow-up, 6.0 years; 582 252 person-years; 821 incident cases). These results remained statistically significant after adjustment for several markers of the nutritional quality of the diet, for other metabolic comorbidities (HR, 1.13; 95% CI, 1.03-1.23), and for weight change (HR, 1.13; 95% CI, 1.01-1.27). The absolute amount of UPF consumption (grams per day) was consistently associated with T2D risk, even when adjusting for unprocessed or minimally processed food intake (HR for a 100 g/d increase, 1.05; 95% CI, 1.02-1.08).
Conclusions and relevance: In this large observational prospective study, a higher proportion of UPF in the diet was associated with a higher risk of T2D. Even though these results need to be confirmed in other populations and settings, they provide evidence to support efforts by public health authorities to recommend limiting UPF consumption.
Trial registration: ClinicalTrials.gov Identifier: NCT03335644.
Figures
Similar articles
-
Ultra-processed food intake in association with BMI change and risk of overweight and obesity: A prospective analysis of the French NutriNet-Santé cohort.PLoS Med. 2020 Aug 27;17(8):e1003256. doi: 10.1371/journal.pmed.1003256. eCollection 2020 Aug. PLoS Med. 2020. PMID: 32853224 Free PMC article.
-
Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé).BMJ. 2019 May 29;365:l1451. doi: 10.1136/bmj.l1451. BMJ. 2019. PMID: 31142457 Free PMC article.
-
Prospective association between organic food consumption and the risk of type 2 diabetes: findings from the NutriNet-Santé cohort study.Int J Behav Nutr Phys Act. 2020 Nov 9;17(1):136. doi: 10.1186/s12966-020-01038-y. Int J Behav Nutr Phys Act. 2020. PMID: 33167995 Free PMC article.
-
Ultra-Processed Foods and Human Health: A Systematic Review and Meta-Analysis of Prospective Cohort Studies.Adv Nutr. 2024 Jan;15(1):100121. doi: 10.1016/j.advnut.2023.09.009. Epub 2023 Dec 18. Adv Nutr. 2024. PMID: 38245358 Free PMC article. Review.
-
Impact of ultra-processed food consumption on metabolic health.Curr Opin Lipidol. 2021 Feb 1;32(1):24-37. doi: 10.1097/MOL.0000000000000728. Curr Opin Lipidol. 2021. PMID: 33315618 Review.
Cited by
-
Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC).Lancet Reg Health Eur. 2024 Sep 16;46:101043. doi: 10.1016/j.lanepe.2024.101043. eCollection 2024 Nov. Lancet Reg Health Eur. 2024. PMID: 39529810 Free PMC article.
-
An unbiased, sustainable, evidence-informed Universal Food Guide: a timely template for national food guides.Nutr J. 2024 Oct 18;23(1):126. doi: 10.1186/s12937-024-01018-z. Nutr J. 2024. PMID: 39425106 Free PMC article. Review.
-
Ultra-processed food consumption and renal cell carcinoma incidence and mortality: results from a large prospective cohort.BMC Med. 2024 Oct 14;22(1):459. doi: 10.1186/s12916-024-03677-5. BMC Med. 2024. PMID: 39396995 Free PMC article.
-
Ultra-processed foods and the incidence of pre-diabetes and type 2 diabetes among Iranian adults: the Tehran lipid and glucose study.Nutr Metab (Lond). 2024 Oct 9;21(1):79. doi: 10.1186/s12986-024-00854-4. Nutr Metab (Lond). 2024. PMID: 39385202 Free PMC article.
-
Ultra-processed foods and type 2 diabetes mellitus incidence in RaNCD project: a prospective cohort study.Acta Diabetol. 2024 Oct 7. doi: 10.1007/s00592-024-02385-z. Online ahead of print. Acta Diabetol. 2024. PMID: 39373941
References
-
- International Diabetes Federation International Diabetes Federation - Facts & figures - Atlas 8th Edition 2017. https://www.idf.org/aboutdiabetes/what-is-diabetes/facts-figures.html. Accessed May 15, 2019.
-
- Dicker D, Nguyen G, Abate D, et al. ; GBD 2017 Mortality Collaborators . Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1684-1735. doi:10.1016/S0140-6736(18)31891-9 - DOI - PMC - PubMed
Publication types
MeSH terms
Associated data
LinkOut - more resources
Full Text Sources
Medical
