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- Special article Nutrition survey methods and food composition database update of the Korean Genome and Epidemiology Study
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Seon-Joo Park1,2
, Jieun Lyu3
, Kyoungho Lee3
, Hae-Jeung Lee1,2
, Hyun-Young Park4
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Epidemiol Health 2024;e2024042
DOI: https://doi.org/10.4178/epih.e2024042 [Accepted]
Published online: April 2, 2024
2Institute for Aging and Clinical Nutrition Research, Gachon University, Gyeonggi, Korea
3Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, Korea
4Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Korea
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Corresponding author:
Hae-Jeung Lee,
Email: skysea1010@gmail.com
Hyun-Young Park,
Email: hypark65@korea.kr
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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 However, these dietary survey methods use different food composition databases, and their nutritional values are out of date.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 correcting errors in 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.
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