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)

Samuel J. Dicken*, Christina C. Dahm, Daniel B. Ibsen, Anja Olsen, Anne Tjønneland, Mariem Louati-Hajji, Claire Cadeau, Chloé Marques, Matthias B. Schulze, Franziska Jannasch, Ivan Baldassari, Luca Manfredi, Maria Santucci de Magistris, Maria Jose Sánchez, Carlota Castro-Espin, Daniel Rodríguez Palacios, Pilar Amiano, Marcela Guevara, Yvonne T. van der Schouw, Jolanda M.A. BoerW. M.Monique Verschuren, Stephen J. Sharp, Nita G. Forouhi, Nicholas J. Wareham, Eszter P. Vamos, Kiara Chang, Paolo Vineis, Alicia K. Heath, Marc J. Gunter, Geneviève Nicolas, Elisabete Weiderpass, Inge Huybrechts, Rachel L. Batterham

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

6 Citations (Scopus)

Abstract

Background: It is unknown whether the association between ultra-processed food (UPF) intake and type 2 diabetes mellitus differs from other degrees of food processing. We examined the association between degree of food processing and incident type 2 diabetes mellitus. Methods: This was a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC). Dietary intake was assessed at baseline using dietary questionnaires and classified according to the Nova classification into unprocessed/minimally processed food (MPF), processed culinary ingredients (PCI), processed food (PF) and UPF. Type 2 diabetes mellitus cases were verified through multiple methods. Cox regression and statistical substitution analysis was used to estimate associations between MPF + PCI, PF and UPF intake and incident type 2 diabetes mellitus. To investigate heterogeneity in the association between UPF and incident type 2 diabetes mellitus, UPF sub-group analysis was conducted. Different reference groups were used in each analysis. Findings: Over an average 10.9 years follow-up of 311,892 individuals, 14,236 type 2 diabetes mellitus cases were identified. Each 10% increment of total daily food intake from UPF (%g/day) was associated with 17% (95% confidence interval (95%CI): 1.14–1.19) higher incident type 2 diabetes mellitus. Each 10% increment in MPF + PCI or PF intake was associated with lower incident type 2 diabetes mellitus (MPF + PCI hazard ratio: 0.94 (95%CI: 0.92–0.96); PF hazard ratio: 0.92 (95%CI: 0.89–0.95)). Replacing UPF with MPF + PCI or PF was associated with lower incident type 2 diabetes mellitus. However, heterogeneity was observed across UPF sub-groups, with breads, biscuits and breakfast cereals, sweets and desserts, and plant-based alternatives associated with lower incident type 2 diabetes mellitus. Interpretation: These findings support recommendations to focus on reducing intake of specific UPF for lowering type 2 diabetes mellitus risk. Funding:International Agency for Research on Cancer.

Original languageEnglish
Article number101043
JournalThe Lancet Regional Health - Europe
Volume46
Number of pages15
ISSN2666-7762
DOIs
Publication statusPublished - Nov 2024

Keywords

  • Diet
  • Europe
  • Food processing
  • Nova classification
  • Type 2 diabetes mellitus
  • Ultra-processed food

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