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Special Article
Nutrition survey methods and food composition database update of the Korean Genome and Epidemiology Study
Seon-Joo Park, Jieun Lyu, Kyoungho Lee, Hae-Jeung Lee, Hyun-Young Park
Epidemiol Health. 2024;46:e2024042.   Published online April 2, 2024
DOI: https://doi.org/10.4178/epih.e2024042
  • 3,937 View
  • 142 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
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 However, these dietary survey methods use different food composition databases, and their nutritional values are out of date.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.
Summary
Korean summary
한국인유전체역학조사사업은 우리나라에서 가장 크고 오래된 코호트로 만성질환과 영양과의 관련성을 밝히기 위하여 사용되고 있다. 이 논문에서는 영양조사에 대한 자세한 방법론과 현재 공개하고 있는 23개 영양소의 업데이트 및 48개 새로운 영양소의 확대에 대한 내용을 소개하였다. 이러한 개선을 통해 KoGES 영양 데이터의 활용도가 더욱 높아질 것으로 기대된다.
Key Message
The Korean Genome and Epidemiology Study (KoGES) is the largest and longest-running cohort study in South Korea aimed at identifying the relationship between chronic diseases and nutrient intake. This paper provides a detailed methods of the nutritional surveys and introduces updates to the existing 23 nutrients and the addition of 48 new nutrients. These enhancements are expected to significantly increase the utility of the KoGES nutritional data.

Citations

Citations to this article as recorded by  
  • Serum 25-hydroxyvitamin D levels and risk of all-cause and cause-specific mortality: A 14-year prospective cohort study
    Sihan Song, Jieun Lyu, Bo Mi Song, Joong-Yeon Lim, Hyun-Young Park
    Clinical Nutrition.2024; 43(9): 2156.     CrossRef
Data Profile
Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data
Hae Dong Woo, Dae Sub Song, Sun Ho Choi, Jae Kyung Park, Kyoungho Lee, Hui-Young Yun, Dae-Ryun Choi, Youn-Seo Koo, Hyun-Young Park
Epidemiol Health. 2022;44:e2022071.   Published online September 7, 2022
DOI: https://doi.org/10.4178/epih.e2022071
  • 8,706 View
  • 255 Download
  • 6 Web of Science
  • 5 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
Public concern about the adverse health effects of air pollution has grown rapidly in Korea, and there has been increasing demand for research on ways to minimize the health effects of air pollution. Integrating large epidemiological data and air pollution exposure levels can provide a data infrastructure for studying ambient air pollution and its health effects. The Korean Genome and Epidemiology Study (KoGES), a large population-based study, has been used in many epidemiological studies of chronic diseases. Therefore, KoGES cohort data were linked to air pollution data as a national resource for air pollution studies. Air pollution data were produced using community multiscale air quality modeling with additional adjustment of monitoring data, satellite-derived aerosol optical depth, normalized difference vegetation index, and meteorological data to increase the accuracy and spatial resolution. The modeled air pollution data were linked to the KoGES cohort based on participants’ geocoded residential addresses in grids of 1 km (particulate matter) or 9 km (gaseous air pollutants and meteorological variables). As the integrated data become available to all researchers, this resource is expected to serve as a useful infrastructure for research on the health effects of air pollution.
Summary
Korean summary
대기오염이 건강에 미치는 정도를 파악하고 이를 최소화하는 과학적 근거 생산 마련을 위하여 한국인유전체역학조사사업(KoGES) 자료와 대기오염 및 기상 자료를 연계하여 연구 기반을 마련하고자 하였다. 배출량, 기상자료 및 공기의 확산 등을 고려하는 화학수송모델(CMAQ)을 통하여 2005년에서 2017년 사이의 대기오염 및 기상자료를 예측하였으며, 이후 관측소 자료 및 인공위성자료인 에어로졸 광화학두께(AOD)를 추가 적용하여 최종 생산하였다. 미세먼지 자료는 1 km 격자로 기체상 오염물질 및 기상 자료는 9 km 격자 단위로 구성되었다. 생산된 자료는 KoGES 참여자의 주소를 기반으로 연계하여 최종 KoGES-대기오염 연계DB를 구축하였으며, 구축된 자료를 이용하여 KoGES 참여자의 대기오염 노출 수준을 공간적 시간적 분포로 살펴보았다. 구축된 자료는 내외부 연구자에게 공개가 되고 있어 대기오염에 의한 건강영향평가 및 피해를 최소화하는 방안 마련 연구를 위한 좋은 기반 자료가 될 것으로 기대된다.
Key Message
The Korean Genome and Epidemiology Study (KoGES) cohort were linked to air pollution data as a national resource for studying air pollution and its health effect. Air pollution data (2005~2017) were produced using community multiscale air quality modeling with additional adjustment of monitoring data, satellite-derived aerosol optical depth, normalized difference vegetation index, and meteorological data to increase the accuracy and spatial resolution. The modelled air pollution data were linked to the cohort based on participants’ geocoded residential addresses in grids of 1 km (particulate matter) or 9 km (gaseous air pollutants and meteorological variables).

Citations

Citations to this article as recorded by  
  • Association between short-term exposure to ambient air pollutants and biomarkers indicative of inflammation and oxidative stress: a cross-sectional study using KoGES-HEXA data
    Ji Hyun Kim, Hae Dong Woo, Jane J Lee, Dae Sub Song, Kyoungho Lee
    Environmental Health and Preventive Medicine.2024; 29: 17.     CrossRef
  • Exposure to ambient air pollution mixture and senescence-associated secretory phenotype proteins among middle-aged and older women
    Eunseon Gwak, Ji-Won Shin, Sun-Young Kim, Jong Tae Lee, Ok Hee Jeon, Seung-Ah Choe
    Environmental Research.2024; 260: 119642.     CrossRef
  • Atrial Fibrillation Identification Using CNNs Based on Genomic Data
    Jaehyung Lee, Oh-Seok Kwon, Gayeon Ryu, Hangsik Shin, Hui-Nam Pak
    Journal of Electrical Engineering & Technology.2024; 19(6): 3645.     CrossRef
  • Edible mushroom intake and risk of all-cause and cause-specific mortality: results from the Korean Genome and Epidemiology Study (KoGES) Cohort
    Hyein Jung, JiAe Shin, Kyungjoon Lim, Sangah Shin
    Food & Function.2023; 14(19): 8829.     CrossRef
  • Association between ambient particulate matter levels and hypertension: results from the Korean Genome and Epidemiology Study
    Sewhan Na, Jong-Tae Park, Seungbeom Kim, Jinwoo Han, Saemi Jung, Kyeongmin Kwak
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef

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