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[Korean]
Dietary Iron Intake of Koreans Estimated using 2 Different Sources of Iron Contents are Comparable: Food & Nutrient Database and Iron Contents of Cooked Foods in the Korean Total Diet Study
Jeeyeon Lee, Sung Ok Kwon, Yoonjae Yeoh, Min Jeong Seo, Gae Ho Lee, Cho-il Kim
Korean J Community Nutr 2022;27(3):245-253.   Published online June 30, 2022
DOI: https://doi.org/10.5720/kjcn.2022.27.3.245
AbstractAbstract PDF
Objectives
This study was conducted to find out if the dietary iron intake of Koreans estimated by 2 different methods (iron content sources) using the food intake data from the Korea National Health and Nutrition Examination Survey (KNHANES) are comparable. One method was based on the KNHANES's Food & Nutrient Database (FND) derived mainly from the Korean Food Composition Table and the other used the iron content (IC) of food samples processed in the Korean Total Diet Study (KTDS).
Methods
Dietary intake data from the 2013-2016 KNHANES was used to select representative foods (RFs) in KTDS for iron analysis. Selection of the RFs and cooking methods for each RF (RF × cooking method pair) was performed according to the ‘Guidebook for Korean Total Diet Studies’ and resulted in a total of 132 RFs and 224 ‘RF × cooking method’ pairs. RFs were collected in 9 metropolitan cities nationwide once or twice (for those with seasonality) in 2018 and made into 6 composites each, based on the origin and season prior to cooking. Then, the RF composites prepared to a ‘table ready’ state for KTDS were analyzed by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Dietary iron intake of the Korean population was estimated using only RFs’ intake data based on the 2 sources of iron content, namely FND-KNHANES and IC-KTDS.
Results
RFs in KTDS covered 92.0% of total food intake of Koreans in the 2016-2018 KNHANES. Mean iron intake of Koreans was 7.77 mg/person/day by IC-KTDS vs 9.73 mg/person/day by FND-KNHANES. The major food groups contributing to iron intake were meats (21.7%), vegetables (20.5%), and grains & cereals (13.4%) as per IC-KTDS. On the other hand, the latter source (FND-KNHANES) resulted in a very different profile: grains & cereals (31.1%), vegetables (16.8%), and meats (15.3%). While the top iron source was beef, accounting for 8.6% in the former, it was polished rice (19.2%) in the latter. There was a 10-fold difference in the iron content of polished rice between 2 sources that iron intakes excluding the contribution by polished rice resulted in very similar values: 7.58 mg/person/day by IC-KTDS and 7.86 mg/person/day by FNDKNHANES.
Conclusions
This study revealed that the dietary iron intake estimated by 2 different methods were quite comparable, excluding one RF, namely polished rice. KTDS was thus proven to be a useful tool in estimating a ‘closer-to-real’ dietary intake of nutrients for Koreans and further research on various nutrients is warranted.

Citations

Citations to this article as recorded by  
  • Dietary sodium and potassium intake of Koreans estimated using 2 different sources of their contents in foods, Food & Nutrient Database and the Korean Total Diet Study: a comparative study
    Jee Yeon Lee, Sung Ok Kwon, Soo Hyun Lee, Min Jeong Seo, Gae Ho Lee, Cho-il Kim
    Korean Journal of Community Nutrition.2023; 28(3): 235.     CrossRef
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Original Articles
[English]
Development of 9(th) Revision Korean Food Composition Table and Its Major Changes
Su Hui Park, Se Na Kim, Sang Hoon Lee, Jeong Sook Choe, Youngmin Choi
Korean J Community Nutr 2018;23(4):352-365.   Published online August 31, 2018
DOI: https://doi.org/10.5720/kjcn.2018.23.4.352
AbstractAbstract PDFPubReader
OBJECTIVES
The Korean Food Composition Table (KFCT) was first published in 1970, and has since been updated every five years by the Rural Development Administration (RDA). This study was conducted to introduce the development strategies, features, and challenges of the 9th revision of the KFCT.
METHODS
Due to the increasing demands of nutrient database users and generators, the RDA started a new research project in 2013 to improve the quantity and quality of data for the 9th revision of the KFCT. Over 1,000 food items frequently consumed in Korea were selected as key foods using the results of the Korean National Health and Nutrition Examination Survey. About 200 raw materials and processed food items were collected and analyzed every year. Target nutrients that were analyzed by collaborative labs, such as, sugars, selenium, iodine, and biotin, were increased from 22 to 43. Analytical sample handling procedures and data quality evaluation systems were also established in collaboration with 10 contracted labs. Data were evaluated for data quality according to the FAO/INFOODS, CODEX, and AOAC guidelines.
RESULTS
The 9th revision contains data on 3,000 food items and up to 43 and 140 food nutrients for the printed table and the excel database file, respectively. Overall, 1,485 data items were newly added, 973 of which were provided by the RDA and 512 were cited from foreign nutrient databases. The remaining 1,515 food items were maintained as in the 8th revision.
CONCLUSIONS
The KFCT provides the basic infrastructure for food and nutrition policy, research, and dietary practice in South Korea. The use of the KFCT has increased exponentially in the past few years in both public and private sectors; accordingly, increased efforts should be paid to the preparation, improvement, and maintenance of KFCT.

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  • Relationship between urinary sodium excretion and bone mineral density in pediatrics: population-based study from KNHANES V 2010–2011
    In Kyung Lee, Yoo Mi Kim, Han Hyuk Lim
    Journal of Pediatric Endocrinology and Metabolism.2024; 37(6): 553.     CrossRef
  • Development and Validation of a Questionnaire to Measure Adherence to a Mediterranean-Type Diet in Youth
    Yu-Jin Kwon, Young-Hwan Park, Yae-Ji Lee, Li-Rang Lim, Ji-Won Lee
    Nutrients.2024; 16(16): 2754.     CrossRef
  • 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
    Epidemiology and Health.2024; : e2024042.     CrossRef
  • Fruits and the Risk of Type 2 Diabetes: The Korean Genome and Epidemiology Study Cohort
    Hojun Yu, Cheol Min Lee, Seung-Won Oh
    Korean Journal of Family Medicine.2024; 45(1): 44.     CrossRef
  • Ultra-Processed Food Intakes Are Associated with Depression in the General Population: The Korea National Health and Nutrition Examination Survey
    Sunghee Lee, Myungjin Choi
    Nutrients.2023; 15(9): 2169.     CrossRef
  • Analyzing the Sugar Components of Domestic Agricultural Products for Establishing the National Standard Food Composition Data-Base
    Eun-Ha Jang, Ki-Yeon Lee, Kyung-Dae Kim, Jae-Hee Lee, Ji-Sun Park, Jae-Gil Lim, Jin-Kwan Ham, Jin-Ju Park
    Journal of the East Asian Society of Dietary Life.2023; 33(1): 71.     CrossRef
  • Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass
    Taesic Lee, Tae-Ha Chung
    Scientific Reports.2023;[Epub]     CrossRef
  • Association Between Parental BMI and Offspring’s Blood Pressure by Mediation Analysis: A Study Using Data From the Korean National Health and Nutrition Examination Survey
    Hyowon Choi, Hunju Lee, Yeon-Soon Ahn
    Journal of Preventive Medicine and Public Health.2023; 56(6): 533.     CrossRef
  • Intake of omega-3 polyunsaturated fatty acids and fish associated with prevalence of low lean mass and muscle mass among older women: Analysis of Korea National Health and Nutrition Examination Survey, 2008-2011
    Yeji Kim, Yongsoon Park
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • Association of Protein Intake with Handgrip Strength and Its Relation to Strength Exercise in Korean Adults Aged over 60 Years in the KNHANES (2014-18)
    Eun Young Choi
    Nutrients.2023; 15(4): 1014.     CrossRef
  • Analysis of Vitamin K Content in Commonly Consumed Foods in Korea
    Seungjun Lee, Youngmin Choi, Minjoo Gu, Seungjoo Baik, Jeehye Sung, Heon Sang Jeong, Junsoo Lee
    Journal of the Korean Society of Food Science and Nutrition.2022; 51(12): 1272.     CrossRef
  • The association between fruit and vegetable consumption and metabolic syndrome in Korean adults: does multivitamin use matter?
    Jihae Kim, Li-Juan Tan, Hyein Jung, Yumi Roh, Kyungjoon Lim, Sangah Shin
    Epidemiology and Health.2022; 44: e2022039.     CrossRef
  • Association of Dietary Total Antioxidant Capacity with Cancer Recurrence and Mortality among Breast Cancer Survivors: A Prospective Cohort Study
    Doyeon Han, Minsung Chung, Yongsoon Park
    Nutrition and Cancer.2022; 74(9): 3253.     CrossRef
  • Daily Walking Accompanied with Intermittent Resistance Exercise Prevents Osteosarcopenia: A Large Cohort Study
    Sangyeob Lee, Ji-Seok Kim, Ki-Soo Park, Kyung-Wan Baek, Jun-Il Yoo
    Journal of Bone Metabolism.2022; 29(4): 255.     CrossRef
  • Comparison of multivariate linear regression and a machine learning algorithm developed for prediction of precision warfarin dosing in a Korean population
    Van Lam Nguyen, Hoang Dat Nguyen, Yong‐Soon Cho, Ho‐Sook Kim, Il‐Yong Han, Dae‐Kyeong Kim, Sangzin Ahn, Jae‐Gook Shin
    Journal of Thrombosis and Haemostasis.2021; 19(7): 1676.     CrossRef
  • Comparative Analysis of Universal Protein Extraction Methodologies for Screening of Lipase Activity from Agricultural Products
    Jisu Ha, Jun-Young Park, Yoonseok Choi, Pahn-Shick Chang, Kyung-Min Park
    Catalysts.2021; 11(7): 816.     CrossRef
  • Association of a Tobacco-specific Nitrosamine Carcinogen with Urinary Cotinine, Urinary Sodium Excretion, and Total Energy Intake in Adolescents and Children
    Jong Weon Choi, Tatsuyoshi Fujii, Noriyoshi Fujii
    Current Medical Science.2021; 41(2): 270.     CrossRef
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    Daniel Hinojosa-Nogueira, Sergio Pérez-Burillo, Beatriz Navajas-Porras, Bartolomé Ortiz-Viso, Silvia Pastoriza de la Cueva, Fabio Lauria, Alexandra Fatouros, Kostas N. Priftis, Verónica González-Vigil, José Ángel Rufián-Henares
    Nutrients.2021; 13(12): 4206.     CrossRef
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    You Joung Heo, Yun Jeong Lee, Kyunghoon Lee, Jae Hyun Kim, Choong Ho Shin, Young Ah Lee, Junghan Song, Dengshun Miao
    PLOS ONE.2021; 16(10): e0258585.     CrossRef
  • Association of Dietary Total Antioxidant Capacity with Bone Mass and Osteoporosis Risk in Korean Women: Analysis of the Korea National Health and Nutrition Examination Survey 2008–2011
    Donghyun Kim, Anna Han, Yongsoon Park
    Nutrients.2021; 13(4): 1149.     CrossRef
  • Association between Iron Intake and Diabetic Peripheral Neuropathy in Type 2 Diabetes: Significance of Iron Intake and the Ratio between Iron Intake and Polyunsaturated Fatty Acids Intake
    Kyuho Kim, YoonJu Song, Tae Jung Oh, Sung Hee Choi, Hak Chul Jang
    Nutrients.2020; 12(11): 3365.     CrossRef
  • Association between Dietary Patterns and Handgrip Strength: Analysis of the Korean National Health and Nutrition Examination Survey Data Between 2014 and 2017
    Yunkoo Kang, Jieun Kim, Do-Yeon Kim, Seung Kim, Sowon Park, Hyunjung Lim, Hong Koh
    Nutrients.2020; 12(10): 3048.     CrossRef
  • Comparison of hemodialysis and peritoneal dialysis patients’ dietary behaviors
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  • Development of a Smartphone Application for Dietary Self-Monitoring
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    Frontiers in Nutrition.2019;[Epub]     CrossRef
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[English]
Development of a Dietary Fiber Composition Table and Intakes of Dietary Fiber in Korea National Health and Nutrition Examination Survey (KNHANES)
Soyeong Yeon, Kyungwon Oh, Sanghui Kweon, Taisun Hyun
Korean J Community Nutr 2016;21(3):293-300.   Published online June 30, 2016
DOI: https://doi.org/10.5720/kjcn.2016.21.3.293
AbstractAbstract PDFPubReader
OBJECTIVES
The purpose of the study was to develop a dietary fiber composition table (DFCT) and to assess dietary fiber intakes in Korea National Health and Nutrition Examination Survey (KNHANES).
METHODS
The DFCT was developed by compiling the food composition tables published by the agencies of Korea, United States, or Japan. When there was no available data from the same species or status (dried, boiled, etc.) of food, the values were imputed by estimating from the same species with different status or substituting familiar species in biosystematic grouping. Using KNHANES VI-2 (2014) microdata and DFCT, intake of dietary fiber of Koreans was estimated.
RESULTS
Among the 5,126 food items of DFCT, the proportion of items of which dietary fiber contents were taken from the analytical values of the same foods was 40.9%. The data from the domestic food composition tables was 37.5%, and the data from the foreign tables was 49.6%. The rest was assumed as zero, or estimated with recipe database and nutrition labeling. Mean daily intake of dietary fiber was 23.2 g, and mean intake per 1,000 kcal was 10.7 g in men and 12.6 g in women. The mean percentage of dietary fiber intake compared to adequate intake was higher than 100%. The major food groups contributing to dietary fiber intakes were vegetables and cereals, and the percent contribution were 32.9% and 23.0% of total dietary fiber intakes, respectively.
CONCLUSIONS
This DFCT could serve as a useful database for assessing dietary fiber intakes and for investigating the association between dietary fiber intakes and non-communicable diseases.

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  • Association between serum uric acid levels and dietary fiber intake in adults: the Korea national health and nutrition examination survey (KNHANES VII, 2016–2018)
    Jinyoung Kim, Da Young Jung, Jin-Hee Lee, Mee Kyoung Kim, Hyuk-Sang Kwon, Hyeon Woo Yim, Su-Jin Moon
    Nutrition & Metabolism.2024;[Epub]     CrossRef
  • Development of a database to estimate dietary intake of resistant starch in Koreans
    Kyeong-A. Jang, Hyun Ah Kim, Min-Sook Kang, Haeng-Ran Kim, Yong-Ju Lee, SuJin Song
    Journal of Food Composition and Analysis.2023; 120: 105283.     CrossRef
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    Jin A Sohn, Ju Young Chang, Sohee Oh, Jeana Hong
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Analysis of physicochemical properties and antioxidant activities of commercial tteokbokki sauce in Korea
    Geon Oh, June Seok Lim, Geun-hee Cho, Sun-Il Choi, Xionggao Han, Xiao Men, Se-Jeong Lee, Sang Mi Jung, Min Hee Kwon, Yeong Rae Song, Ok-Hwan Lee, Moon Jin Ra
    Korean Journal of Food Preservation.2022; 29(7): 1150.     CrossRef
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    Epidemiology and Health.2021; 43: e2021025.     CrossRef
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    European Journal of Nutrition.2021; 60(4): 1907.     CrossRef
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    Journal of Nutrition and Health.2019; 52(6): 540.     CrossRef
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    Journal of Nutrition and Health.2019; 52(4): 342.     CrossRef
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  • Physicochemical Properties of Resistant Starch Prepared from Singil Rice Starch
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    Journal of Nutrition and Health.2017; 50(6): 624.     CrossRef
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[English]
Revision and Application of the Target Pattern in Food Guidance System: Administered to 2nd grade middle school students
Ha Yeon Lee, Youngnam Kim
Korean J Community Nutr 2014;19(3):274-282.   Published online June 30, 2014
DOI: https://doi.org/10.5720/kjcn.2014.19.3.274
AbstractAbstract PDFPubReader
OBJECTIVES
The objective of this study was to revise the target pattern in food guidance system for adolescents' balanced menu planning.
METHODS
The food groups in the target pattern were divided into detailed food items, and intake number were assigned to each food items based on the revised standard food composition table. The validity of revised target pattern was examined. Menu planning according to the revised target pattern was made available to 305 male and female middle school students and the nutritional assessment of the menu plan were carried out using SPSS WIN 12.0.
RESULTS
The energy contents, energy contribution ratios of carbohydrate, fat, and protein, and 4 minerals' and 6 vitamins' contents of the revised target pattern were adequate. The average energy contents of the menu planned according to revised target pattern were 400~500 kcal higher than that of the revised target pattern when the revised standard food composition was applied. The energy contribution ratios of fat were 28.9%, close to maximum of acceptable macronutrient distribution range (AMDR) (30%), and that of carbohydrate were 54.5%, lower than minimum of AMDR (55%). The nutrient adequacy ratios (NARs) of calcium and vitamin C were less than 1.0. According to index of nutritional quality (INQ) of food items, kimchi, milkdairy products, and soybean curd were energy efficient source for calcium, kimchi, fruit, vegetable and seaweed were energy efficient source for vitamin C, with INQ of food items were higher or close to 2.0. Kimchi was the best energy efficient source of calcium and vitamin C.
CONCLUSIONS
Revised target pattern based on the adolescent's foods intake was not good enough for balanced menu planning by adolescents, because what they ate and what they wanted to eat were very much different. Detailed guidance for food selection is necessary in each food items.

Citations

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  • Development of a Food Exchange Table and Food Pattern for Nutritionally Balanced Menu Planning
    Yun Ahn, Ikhyun Yeo, Sangyun Lee, Kisun Nam
    Korean Journal of Community Nutrition.2018; 23(5): 411.     CrossRef
  • Designing optimized food intake patterns for Korean adults using linear programming (I): analysis of data from the 2010~2014 Korea National Health and Nutrition Examination Survey
    Kana Asano, Hongsuk Yang, Youngmi Lee, Jihyun Yoon
    Journal of Nutrition and Health.2018; 51(1): 73.     CrossRef
  • Nutritional Adequacy Analysis of Recommended Menu in Dietary Reference Intakes for Koreans 2015
    Youngnam Kim
    Korean Journal of Community Nutrition.2017; 22(4): 279.     CrossRef
  • Proposition and Application of a Dish-Based Target Pattern for Korean Adolescent Girls
    Mi Jin Park, Youngnam Kim
    Korean Journal of Community Nutrition.2015; 20(2): 87.     CrossRef
  • Revision of the Target Pattern based on Single Serving Size of Dishes for Korean Adolescent Meal Plan
    Mi Jin Park, Youngnam Kim
    Korean Journal of Community Nutrition.2015; 20(1): 21.     CrossRef
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