Cohort studyindependent cross-checkabstract checked I-UPF-118 standard review

Food preservatives and type 2 diabetes

Associations between preservative food additives and type 2 diabetes incidence in the NutriNet-Santé prospective cohort.

Overview

Hasenböhler A et al.. Nat Commun 2026 · PMID 41501013 · DOI 10.1038/s41467-025-67360-w

In the same French cohort, 12 widely used preservatives were linked to more type 2 diabetes.

Does the study support the specific claim? No · Methodological quality: moderate

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

To link preservatives with diabetes.

How was the study done?

Cohort study.

How many people, animals or samples were studied?

108,723 adults.

What was actually found?

12 preservatives linked to more diabetes.

How large was the observed effect?

Not in abstract.

What do the results mean in everyday life?

A signal worth checking.

What are the study's limitations?

Observational; same cohort.

What does it say about Elawady's specific claim?

Contradicts C-UPF-11.

Do the results apply to Germany and Europe?

High.

What can explicitly not be concluded from this study?

Cannot prove causation.

Scientific in-depth review

1. Full reference

Authors
Hasenböhler A et al.
Journal
Nat Commun
Year
2026
Identifier
PMID 41501013 DOI 10.1038/s41467-025-67360-w · PMC12780003
Verification
verified – PubMed efetch 2026-10-26; Crossref works API 2026-10-26
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

COI statement in record: Competing interests: The authors declare no competing interests.; funding listed: EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020), Fondation Bettencourt Schueller (Bettencourt Schueller Foundation), Institut National Du Cancer (French National Cancer Institute), Institut National de la Santé et de la Recherche Médicale (National Institute of Health and Medical Research), World Health Organization

2. Research question

Is exposure to preservative food additives associated with type 2 diabetes incidence?

3. Study design and population

Study design
Cohort study – Prospective cohort (NutriNet-Sante)
Population

French adults (79.2% women; mean age 42.5)

Country

France

Period

2009-2023

Sample size

108,723; 1,131 T2D cases

Inclusion and exclusion criteria

NutriNet-Sante participants with repeated 24-h records

4. Methods and endpoints

Exposure / intervention

Cumulative preservative intake (58 substances; 17 individually)

Comparator

Lower exposure

Endpoints

Incident T2D

Statistical methods

Multi-adjusted Cox models; multiple-testing correction

5. Actual results

Results

Thirteen (12 after multiple-test correction) individual preservatives associated with higher diabetes incidence: potassium sorbate, potassium metabisulfite, sodium nitrite, acetic, citric and phosphoric acids, sodium acetates, calcium propionate, sodium ascorbate, alpha-tocopherol, sodium erythorbate and rosemary extracts (effect sizes not in abstract).

Absolute risks

not reported in abstract

Authors' conclusion

Findings call for safety re-evaluation and support favouring fresh, minimally processed foods.

6. Strengths

  • Detailed exposure
  • Multiple-testing correction

7. Weaknesses

  • Observational; effect sizes not in abstract
  • Associations include antioxidants such as ascorbate and tocopherol, suggesting possible confounding by food matrix

8. Risk of bias

Orienting tool
ROBINS-E
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
some concerns
Rationale

Abstract only.

9. Assessment of the statistical interpretation

Not recalculable.

10. Relevance to the specific claim

Further challenges a blanket dismissal of preservatives.

11. Independent contrary findings

Same cohort as I-UPF-117; not independent.

12. Transferability to Germany and Europe

High.

13. Overall methodological judgement

Signal; needs replication.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitymoderate
Risk of biassome concerns
Precision of resultsnot applicable
Directnessdirect
Reproducibilitynot replicated
Consistency with the overall evidenceunknown
Regional transferabilityhigh
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Replication.

15. Linked fact checks