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Ultra-Processed Food Intake and Risk of Type 2 Diabetes Mellitus: A Dose-Response Meta-Analysis of Prospective Studies (Diabetes Metab J 2025;49:1064-74)
Yujin Kim, Hannah Oh
Diabetes Metab J. 2026;50(1):208-210.   Published online January 1, 2026
DOI: https://doi.org/10.4093/dmj.2025.1104
  • 3,382 View
  • 60 Download
  • 1 Crossref
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  • Ultra-Processed Foods and Metabolic Dysfunction: Mechanisms, Clinical Implications, and Public Health Perspectives. Position Paper of the Italian Association of Dietetics and Clinical Nutrition (ADI)
    Giovanna Trinchese, Barbara Paolini, Fabiano Cimmino, Filippo Valoriani, Lucio Lucchin, Carmela Bagnato, Annarita Sabbatini, Massimiliano Petrelli, Pietro Losignore, Francesca Marino, Giulia Tavella, Odette Misa Sonia Hassan, Annalisa Maghetti, Maria Graz
    Current Nutrition Reports.2026;[Epub]     CrossRef
Corrigendum
Ultra-Processed Food Intake and Risk of Type 2 Diabetes Mellitus: A Dose-Response Meta-Analysis of Prospective Studies
Yujin Kim, Yoonkyoung Cho, Jin Eui Kim, Dong Hoon Lee, Hannah Oh
Diabetes Metab J. 2026;50(1):211-215.   Published online November 24, 2025
DOI: https://doi.org/10.4093/dmj.2024.0706.c1
Corrects: Diabetes Metab J 2025;49(5):1064
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  • 104 Download
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Original Article
Metabolic Risk/Epidemiology
Article image
Ultra-Processed Food Intake and Risk of Type 2 Diabetes Mellitus: A Dose-Response Meta-Analysis of Prospective Studies
Yujin Kim, Yoonkyoung Cho, Jin Eui Kim, Dong Hoon Lee, Hannah Oh
Diabetes Metab J. 2025;49(5):1064-1074.   Published online June 9, 2025
DOI: https://doi.org/10.4093/dmj.2024.0706
Correction in: Diabetes Metab J 2026;50(1):211
  • 16,800 View
  • 544 Download
  • 15 Web of Science
  • 13 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Although some studies suggest a positive association between ultra-processed food (UPF) intake and type 2 diabetes mellitus (T2DM), little is known about the exact shape and risks associated with different units (percentage of g/day, absolute g/day, serving/day) of UPF intake and whether the association is independent of diet quality, total energy intake, and body mass index (BMI).
Methods
Prospective studies published through January 2024 were identified by searching PubMed, Embase, and Web of Science. Summary relative risks (RRs) and 95% confidence intervals (CIs) were estimated using random-effects models. A nonlinear dose-response meta-analysis was conducted using restricted cubic spline analysis.
Results
After screening 569 publications, a total of 12 prospective cohort studies were included. Comparing the highest vs. lowest categories of intake, summary RR for T2DM risk was 1.48 (95% CI, 1.36 to 1.61). Higher summary RRs were observed among studies from Europe and North America. Among individual UPF subgroups, processed meats (summary RR, 1.34; 95% CI, 1.16 to 1.54) were positively associated, whereas ultra-processed cereals and breads (0.98; 95% CI, 0.97 to 0.99) and packaged savory snacks (0.92; 95% CI, 0.88 to 0.95) were inversely associated. The summary RRs associated with every 10% (of g/day), 100-g/day, and 1-serving/day increase in UPF intake were 1.14 (95% CI, 1.11 to 1.17), 1.05 (95% CI, 1.03 to 1.06), and 1.04 (95% CI, 1.03 to 1.05), respectively. The dose-response curve for absolute g/d intake suggested nonlinearity, showing a steeper risk increase approximately at >300 g/day. The associations persisted after adjustment for diet quality, energy intake, or BMI.
Conclusion
Our data suggest that UPF intake increases diabetes risk, with a potential threshold effect at 300 g/day.

Citations

Citations to this article as recorded by  
  • Ultra-Processed Food Intake and Risk of Type 2 Diabetes Mellitus: A Dose-Response Meta-Analysis of Prospective Studies (Diabetes Metab J 2025;49:1064-74)
    Lirong Hu, Aiji Chen, Gang Tian
    Diabetes & Metabolism Journal.2026; 50(1): 194.     CrossRef
  • Ultra-Processed Food Intake and Risk of Type 2 Diabetes Mellitus: A Dose-Response Meta-Analysis of Prospective Studies (Diabetes Metab J 2025;49:1064-74)
    Yujin Kim, Hannah Oh
    Diabetes & Metabolism Journal.2026; 50(1): 208.     CrossRef
  • Dietary Patterns, Cooking Methods, and Their Association with Prediabetes Risk Markers in Romanian University Students: A Cross-Sectional Analysis
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    Clinical Nutrition.2026; 63: 106703.     CrossRef
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    Food & Function.2026; 17(14): 6478.     CrossRef
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    Frontiers in Nutrition.2026;[Epub]     CrossRef
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  • Ultra-Processed Food Consumption and Risk of Type 2 Diabetes in the Melbourne Collaborative Cohort Study
    Priscila Machado, Natalia Tolstova, Melissa Lane, Caroline Costa, Euridice Martinez Steele, Fernanda Rauber, Renata B. Levy, Sarah A. McNaughton, Mark Lawrence, Carlos A. Monteiro, Allison Hodge
    Journal of the Academy of Nutrition and Dietetics.2026; 126(12): 156434.     CrossRef
  • Trends in sales of sugar-sweetened beverages and associated type 2 diabetes burden in nine African countries: an ecological time-series analysis
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    Global Health Action.2025;[Epub]     CrossRef

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