Evidence map›Paper›PMID 39901034›Full record

ArticleScientific reports2025

Long-term trends and patterns in ultra-processed food consumption among Korean adults from 1998 to 2022.

Hyeseung Lee, Yesol Yim, Yerin Cho, Jiyeon Oh, Soeun Kim, Yejun Son, Hyesu Jo, Seohyun Hong, Masoud Rahmati, Hanseul Cho and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 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 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Trends in Female Breast Cancer Incidence among Japanese, Korean, and US Populations: An Age-Period-Cohort Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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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

12 authors.

Hyeseung Lee *Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Yesol Yim *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
Yerin ChoDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Jiyeon OhDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Soeun KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
Yejun SonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
Hyesu JoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
Seohyun HongDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Masoud RahmatiCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.
Hanseul ChoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jiyoung HwangDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea. cindy.jyhwang@gmail.com.
Dong Keon YonDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea. yonkkang@gmail.com.

Funding

Ministry of Science and ICT, South Korea IITP-2024-RS-2024-00438239National Research Foundation of Korea RS-2024-00460379
6 · The paper itself

Abstract

Ultra-processed foods are linked to adverse health outcomes, making it crucial to monitor consumption trends. Despite rising consumption due to Westernized diets in Asia, long-term studies targeting Asian adults are lacking. Thus, we analyzed ultra-processed food consumption trends among Korean adults from 1998 to 2022. Additionally, we compared intakes before and during the pandemic to evaluate the potential impact of the COVID-19 pandemic. Furthermore, we compared the nutrient profiles of ultra-processed and non-ultra-processed food group intakes. This study used data from the Korea National Health and Nutrition Examination Survey (KNHANES) from 1998 to 2022, classifying food into four NOVA groups. Dietary intake was assessed In 2020-2022, ultra-processed foods had a higher proportion using a single 24-hour recall for 96,447 individuals aged 20 years or older. Sampling weights were applied to adjust for the complex survey design and non-responses. We calculated the weighted means and confidence intervals for the proportion of energy intake by NOVA food groups and various nutrient profiles. The proportion of energy intake from ultra-processed foods among Korean adults steadily increased from 17.41% in 1998-2005 to 26.71% in 2016-2019 (mean difference: 9.30% [95% CI, 8.62-9.98%]), but declined for the first time during the pandemic, falling to 25.33% (mean difference: -1.39% [95% CI, -2.18% to -0.59%]). In 2020-2022, ultra-processed foods had a higher proportion of calories from carbohydrates (62.12% vs. 58.81%) and fats (28.22% vs. 22.31%) but a lower proportion from protein (10.32% vs. 17.26%) compared to non-ultra-processed foods. From 1998 to 2022, the fat content of both ultra-processed and non-ultra-processed foods significantly increased, rising from 26.24 to 28.15% for ultra-processed foods (mean difference: 1.91% [95% CI, 1.33-2.49%]) and from 16.81 to 22.26% for non-ultra-processed foods (mean difference: 5.45% [95% CI, 4.99-5.91%]). This study examined 25-year trends in ultra-processed food consumption among South Koreans, showing a consistent increase in energy intake from ultra-processed foods until the COVID-19 pandemic, during which it declined for the first time. However, this decline may be temporary, underscoring the need for sustained efforts to reduce ultra-processed food consumption.

Indexed as

COVID-19DietFast FoodsFeeding BehaviorAdultAgedEnergy IntakeFemaleFood, ProcessedHumansMaleMiddle AgedNutrition SurveysPandemicsRepublic of KoreaSARS-CoV-2NOVAPandemicSouth KoreaTrendUltra-processed foods

Identifiers

PMID39901034
PMCPMC11790960

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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 OpenQuestion graph.