Evidence map›Paper›PMID 40956553›Full record

SynthesisEuropean journal of epidemiology2025

Ultra-processed food intake and risk of type 2 diabetes: a pooled analysis of three prospective cohorts of Korean adults and an updated meta-analysis.

Yujin Kim, Yoonkyoung Cho, Bonjae Koo, Zhangling Chen, Qi Sun, Hannah Oh

Registry-linked trialAbstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07175701 (Effects of Ultra-processed Food Reduction Intervention on Postprandial Glucose and Glycemic Variability in Korean Young Adults), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07175701 narecruitingnot on this map

Effects of Ultra-processed Food Reduction Intervention on Postprandial Glucose and Glycemic Variability in Korean Young Adults: Study Protocol for the ULTRA-CGM Randomized Controlled Trial

TypeinterventionalSponsorKorea UniversityRan2025 to 2026Enrolled50ConditionsPostprandial Glucose, Glucose Levels, HyperglycemiasArms40-minute one-on-one dietary counseling and nutrition education aimed at reducing ultra-processed food consumption, Standard dietary counseling and nutrition education based on national guidelines
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yujin KimInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.
Yoonkyoung ChoInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.
Bonjae KooDepartment of Health Policy and Management, Korea University, Hana Science Building B358, 145 Anam-Ro, Seongbuk-gu, Seoul, Republic of Korea.
Zhangling ChenDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qi SunDepartments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Hannah OhInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea. hannahoh@korea.ac.kr.ORCID http://orcid.org/0000-0002-8368-3032

Funding

National Research Foundation of Korea NRF-2023S1A5C2A03095169National Research Foundation of Korea RS-2025-00556008
6 · The paper itself

Abstract

Studies suggest a positive association between ultra-processed food (UPF) intake and type 2 diabetes risk. However, studies were primarily conducted in Western populations with diets and disease profiles different from populations living elsewhere. In addition, the dose-response relationship needs to be further elucidated. We conducted an individual-level pooled analysis of three Korean prospective cohorts (n = 72,776). UPF intake (in the percentage of g/d as the main UPF unit) was assessed using validated food frequency questionnaires and categorized according to Nova classification. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). We subsequently conducted a meta-analysis of prospective studies, including recent studies from both Western and non-Western populations, to assess the dose-response relationship. In a pooled analysis of Korean cohorts (up to 18 years of follow-up), the highest (vs. lowest) quartile of UPF intake was associated with an increased type 2 diabetes risk (pooled HR [95% CI] = 1.11 [1.02, 1.21] , p-trend = 0.03). The positive association persisted after additional adjustment for BMI, nutritional factors (fiber, sodium, and carbohydrate intakes), or diet quality score. Among individual UPF subgroups, processed meats, ready-to-eat/heat mixed dishes, and ice cream were positively associated with diabetes risk. In a meta-analysis of 17 prospective cohorts, every 10% (of g/d) increment in UPF intake was associated with a 10% (summary RR [95% CI] = 1.10 [1.08, 1.12] ) higher risk in a dose-response fashion. Our meta-evidence supports that higher UPF intake may monotonically increase type 2 diabetes risk.

Indexed as

Diabetes Mellitus, Type 2DietFast FoodsAdultFemaleFood, ProcessedHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRepublic of KoreaRisk FactorsAsianDiabetes mellitusDietNovaProcessed foods

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.