关键词: Database Korea Korean Genome and Epidemiology Study Nutrition survey

Mesh : Humans Republic of Korea / epidemiology Nutrition Surveys Databases, Factual Cohort Studies

来  源:   DOI:10.4178/epih.e2024042

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 However, these dietary survey methods use different food composition databases, and their nutritional values are out of date.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.
摘要:
本研究介绍了韩国基因组和流行病学研究(KoGES)的营养调查方法和更新的食物成分数据库。TheKoGES,这是韩国最大和最长的队列研究,旨在确定与慢性病相关的遗传和环境因素。本研究使用经过验证的半定量食物频率问卷和/或24小时召回方法收集了饮食数据。然而,这些饮食调查方法使用不同的食物成分数据库,它们的营养价值已经过时了。因此,有必要通过纠正营养分析值的错误来更新食物成分数据库,以反映食物成分分析设备性能的改进,将国际价值观修正为韩国农产品的分析价值观,调整营养单位,并添加新报告的与慢性疾病相关的营养素。为此,我们整合了每次营养调查中使用的不同食物成分数据库,更新了23种营养素,使用国家和国际机构发布的最新可靠的食品成分数据库,为3,648种食品扩展了48种新营养素。此修订的食物成分数据库可能有助于阐明各种营养素与慢性疾病之间的关系。它可以作为营养的宝贵资源,流行病学,和基因组研究,并为确定公共卫生政策提供基础。
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