Evidence map›Paper›PMID 41267913›Full record

ArticleClinical nutrition research2025

Secular Trends in Dietary Patterns Among Korean Adolescents: Using Data From the 2007-2022 Korea National Health and Nutrition Examination Survey.

Eunyoung Tak, Eugene Kang, Minji Kang

Abstract read
In one paragraph

Article in Clinical nutrition research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Eunyoung TakDepartment of Food and Nutrition, Duksung Women's University, Seoul 01369, Korea.ORCID https://orcid.org/0009-0005-1556-5180
Eugene KangDepartment of Food and Nutrition, Duksung Women's University, Seoul 01369, Korea.ORCID https://orcid.org/0009-0009-0759-5784
Minji KangDepartment of Food and Nutrition, Duksung Women's University, Seoul 01369, Korea.ORCID https://orcid.org/0000-0003-2930-4780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify major dietary patterns among Korean adolescents, examine their changes over the past 16 years, and evaluate differences by sex. Data were analyzed from 7,679 adolescents aged 12-18 years who participated in the 2007-2022 Korea National Health and Nutrition Examination Survey and completed health, examination, and nutrition surveys. Dietary intake was assessed using a 24-hour recall, and cluster analysis was performed based on the energy contribution of 26 food groups. Associations between dietary patterns and nutrient intake were examined using survey-weighted linear regression. Three dietary patterns were identified: Bread, Meat, & Dairy (33.1%); Rice-based Diet (45.5%); and Convenient Foods (21.3%). Among boys, the Rice-based Diet group showed the highest prevalence of obesity and the largest proportion of low-income households, whereas the Bread, Meat, & Dairy group exhibited higher rates of supplement use and high-income status (all p < 0.05). Among girls, the Convenient Foods group tended to be older and was more likely to skip breakfast, consume alcohol, eat out daily, and perceive themselves as overweight (all p < 0.05). Over the 16-year period, adherence to the Bread, Meat, & Dairy pattern increased, whereas adherence to the Rice-based Diet pattern declined in both sexes (p < 0.01). These findings highlight a shift toward Westernized dietary patterns among Korean adolescents. Accordingly, nutrition policies and interventions should adopt tailored strategies that account for both sex and socioeconomic differences to promote healthier eating habits and support long-term adolescent health.

Indexed as

AdolescentsCluster analysisDietary patternsKNHANES

Identifiers

PMID41267913
PMCPMC12629410

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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.