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"Cluster analysis"

Original Articles
Secular trends in dietary patterns among South Korean primary school–aged children based on the 2007–2022 Korea National Health and Nutrition Examination Survey
Adiyasuren Dookhuu, Diana Shubekova, Juhae Kim, Minji Kang
Clin Nutr Res 2026;15(3):149-160.   Published online July 31, 2026
DOI: https://doi.org/10.7762/cnr.2026.0018

Objective

This study aimed to identify dietary patterns and examine their associations with sociodemographic and lifestyle characteristics among South Korean primary school–aged children.
Methods
Data from 10,173 children aged 6–12 years who participated in the 2007–2022 Korea National Health and Nutrition Examination Survey were analyzed. Their dietary intake was assessed using a 24-hour dietary recall, and dietary patterns were derived from the energy contributions of 26 food groups through cluster analysis.
Results
Three patterns were identified: rice-based pattern (47.3%), flour-based pattern (17.7%), and diversified type (35.1%). From 2007 to 2022, the prevalence of the rice-based pattern declined substantially (56.6%–32.6%), whereas that of the diversified type markedly increased (27.3%–47.0%). Survey-weighted analyses revealed that the dietary patterns were significantly associated with age, household income, vigorous physical activity, meal-skipping, eating-out frequency, and dietary supplement use (all, P<0.05). Children following the flour-based pattern tended to be older, skip breakfast more often, and engage in less vigorous physical activities. The rice-based pattern included a higher proportion of children from low-income households, whereas the diversified type showed more favorable socioeconomic characteristics and family breakfast practices. Overall, the rice-based and flour-based patterns were associated with less favorable lifestyle behaviors than the diversified type.
Conclusion
Dietary patterns among South Korean primary school–aged children appear to be closely related to socioeconomic status and daily health behaviors. Nutrition education and public health interventions promoting balanced diets, reduced meal skipping, and healthier lifestyles during childhood are needed.
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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.

Citations

Citations to this article as recorded by  
  • An Exploratory Indirect Association Analysis of Dietary Supplement Use and Metabolic Risk in Korean Adolescents: A Cross-Sectional Study
    Jeoungmi Kim, Vasuki Rajaguru
    Foods.2026; 15(14): 2554.     CrossRef
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