Epidemiol Health.  2024;46(1):e2024042. 10.4178/epih.e2024042.

Nutrition survey methods and food composition database update of the Korean Genome and Epidemiology Study

Affiliations
  • 1Department of Food and Nutrition, College of BioNano Technology, Gachon University, Seongnam, Korea
  • 2Institute for Aging and Clinical Nutrition Research, Gachon University, Seongnam, Korea
  • 3Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea
  • 4Department of Health Sciences and Technology, Gachon Advanced Institute for Health Science and Technology (GAIHST), Gachon University, Incheon, Korea
  • 5Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea

Abstract

This study presents the nutrition survey methods and the updated food composition database for the Korean Genome and Epidemiology Study (KoGES). The KoGES, which is the largest and longest cohort study in Korea, aims to identify genetic and environmental factors associated with chronic diseases. This study has collected dietary data using a validated semi-quantitative food frequency questionnaire and/or the 24-hour recall method. However, these dietary survey methods use different food composition databases, and their nutritional values are out of date. Therefore, it became necessary to update the food composition database by revising nutrient analysis values to reflect improvements in the performance of food ingredient analysis equipment, revising international values to analysis values of Korean agricultural products, adjusting nutrient units, and adding newly reported nutrients related to chronic diseases. For this purpose, we integrated the different food composition databases used in each nutrition survey, updated 23 nutrients, and expanded 48 new nutrients for 3,648 food items using the latest reliable food composition databases published by national and international institutions. This revised food composition database may help to clarify the relationship between various nutrients and chronic diseases. It could serve as a valuable resource for nutritional, epidemiological, and genomic research and provide a basis for determining public health policies.

Keyword

Nutrition survey; Database; Korea; Korean Genome and Epidemiology Study
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