Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Ultra-processed food consumption and risk of type 2 diabetes: three large prospective U.S. cohort studies.

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
en
2023

Ultra-processed food consumption and risk of type 2 diabetes: three large prospective U.S. cohort studies.

0 Datasets

0 Files

en
2023
DOI: 10.2337/figshare.22006727.v1

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Frank B Hu
Frank B Hu

Harvard University

Verified
Spangling Chen
Neha Khandpur
Clémence Desjardins
+10 more

Abstract

Objective: We examined the relationship between ultra-processed food (UPF) intake and type 2 diabetes (T2D) risk among 3 large U.S. cohorts, conducted a meta-analysis of prospective cohort studies, and assessed meta-evidence quality.

Research design and methods: We included 71,871 women from Nurses’ Health Study (NHS), 87,918 women from NHSII, and 38,847 men from Health Professional Follow-Up Study. Diet was assessed using food frequency questionnaires and UPF were categorized per the Nova classification. Associations of total and subgroups of UPF with T2D were assessed using Cox proportional hazards models. We subsequently conducted a meta-analysis of prospective cohort studies on total UPF and T2D risk, and assessed meta-evidence quality using NutriGrade.

Results: Among the U.S. cohorts (5,187,678 person-years; 19,503 T2D cases), the hazard ratio for T2D comparing extreme quintiles of total UPF intake (percent of grams/day) was 1.46 (95% CI: 1.39, 1.54). Among subgroups, refined breads; sauces, spreads and condiments; artificially-and sugar-sweetened beverages; animal-based products; and ready-to-eat mixed dishes were associated with higher risk. Cereals; dark and whole-grain breads; packaged sweet and savory snacks; fruit-based products; and yogurt and dairy-based desserts were associated with lower risk. In the meta-analysis (415,554 participants; 21,932 T2D cases), each 10% increment in total UPF was associated with a 12% (95% CI: 10%, 13%) higher risk. Per NutriGrade, high quality evidence supports this relationship.

Conclusion: High quality meta-evidence shows that total UPF consumption is associated with higher T2D risk. However, some UPF subgroups were associated with lower risk in the U.S. cohorts.

How to cite this publication

Spangling Chen, Neha Khandpur, Clémence Desjardins, Lu Wang, Carlos Augusto Monteiro, Sinara Laurini Rossato, Teresa T. Fung, JoAnn E. Manson, Walter C. Willett, Eric B. Rimm, Frank B Hu, Qi Sun, Jean‐Philippe Drouin‐Chartier (2023). Ultra-processed food consumption and risk of type 2 diabetes: three large prospective U.S. cohort studies.. , DOI: https://doi.org/10.2337/figshare.22006727.v1.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2023

Authors

13

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.2337/figshare.22006727.v1

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access