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Dong Woo Kim 3 Articles
[Korean]
Estimating and evaluating usual total fat and fatty acid intake in the Korean population using data from the 2019–2021 Korea National Health and Nutrition Examination Surveys: a cross-sectional study
Gyeong-yoon Lee, Dong Woo Kim
Korean J Community Nutr 2023;28(5):414-422.   Published online October 31, 2023
DOI: https://doi.org/10.5720/kjcn.2023.28.5.414
AbstractAbstract PDF
Objectives
This study evaluated usual dietary intakes of total fat and fatty acids among the Korean population based on the revised Dietary Reference Intakes for Koreans 2020 (2020 KDRIs).
Methods
This study utilized data from the eighth Korea National Health and Nutrition Examination Survey (KNHANES 2019–2021). We included 18,895 individuals aged 1 year and above whose 1-day 24-hour dietary recall data were available. To calculate the external variability using the National Cancer Institute 1-day method, data from the U.S. NHANES 2017-March 2020 Pre-pandemic dataset were employed. The total fat and fatty acid intake were evaluated based on the Acceptable Macronutrient Distribution Ranges (AMDRs) and Adequate intake (AI) of 2020 KDRIs for each sex and age groups.
Results
Approximately 86% of the Korean population obtained an adequate amount of energy from total fat consumption (within the AMDRs), indicating an appropriate level of intake. However, the percentage of individuals consuming saturated fatty acids below the AMDR was low, with only 12% among those under 19 years of age and 52% aged 19 years and older. On a positive note, approximately 70% of the population showed adequate consumption of essential fatty acids, exceeding the AI. Nevertheless, monitoring the intake ratio of omega 3 (n-3) to omega 6 (n-6) fatty acids is essential to ensure an optimum balance.
Conclusions
This study explored the possibility of estimating the distribution of nutrient intake in a population by applying the external variability ratio. Therefore, if future KNHANES conduct multiple 24-hour recalls every few years-similar to the U.S. NHANESeven for a subset of participants, this may aid in the accurate assessment of the nutritional status of the population.

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  • The association between COVID-19 and changes in food consumption in Korea: analyzing the microdata of household income and expenditure from Statistics Korea 2019–2022
    Haram Eom, Kyounghee Kim, Seonghwan Cho, Junghoon Moon
    Journal of Nutrition and Health.2024; 57(1): 153.     CrossRef
  • Dietary intake and food sources of essential fatty acids among Korean adolescents: a cross-sectional study based on the 2016–2021 KNHANES data
    Enkhgerel Erdenetsetseg, Hye Ran Shin, SuJin Song
    Korean Journal of Community Nutrition.2024; 29(2): 144.     CrossRef
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[Korean]
Estimation of the Usual Food Intake Distribution Reflecting the Consumption Frequency and a Comparison of the Proportion of Non-consumers: Based on the KNHANES 2009
Su Ji Ham, Dong Woo Kim
Korean J Community Nutr 2021;26(4):296-306.   Published online August 31, 2021
DOI: https://doi.org/10.5720/kjcn.2021.26.4.296
AbstractAbstract PDF
Objectives
The objective of this study was to estimate the distribution of the usual dietary intake of foods with respect to the probability of consumption derived from the Food Frequency Questionnaire (FFQ) of the 2009 Korea National Health and Nutrition Examination Survey (KNHANES).
Methods
The intake quantity and frequency of 63 food items were assessed from the 2009 KNHANES which was completed by 7,708 participants. The participants completed one or two 24-h dietary recalls and one FFQ. The usual intake distribution was estimated using the multiple source method (MSM), and the proportion of nonconsumers was calculated through the usual intake distribution. This was then compared with the proportion of non-consumers from the 24-hour recall method.
Results
The difference in the proportion of non-consumers ranged from 2% to 82.9%, indicating that there is a very large difference based on food groups. The food groups in which the proportion of non-consumers did not differ was composed of foods consumed daily, such as ‘rice’, ‘cereal and barley’, and ‘Chinese cabbage and kimchi’, or foods with distinct palatability such as ‘coffee’ and ‘alcohol’. On the other hand, in the case of the food groups with a high difference in the proportion of non-consumers, most comprised fruits that emphasized seasonality.
Conclusions
In the case of foods or food groups that are occasionally consumed, it is desirable to use 2 recalls with additional FFQ data by combining the consumption frequency and the quantity consumed.

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  • Dietary Management of Obesity
    Sang Hoon Lee, San Ha Kim, Sung Chul Park
    The Korean Journal of Gastroenterology.2024; 83(3): 87.     CrossRef
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  • 1 Crossref
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[English]
Estimation of Usual Meat Intake Distribution Considering Meat Content in Processed Foods: Based on the KNHANES 2009
Yun-Jung Shin, Ae-Jung Kim, Dong Woo Kim
Korean J Community Nutr 2020;25(2):150-158.   Published online April 30, 2020
DOI: https://doi.org/10.5720/kjcn.2020.25.2.150
AbstractAbstract PDF
Objectives
This study was conducted to estimate usual meat intake distribution, which may have been over/underestimated when estimations were made using only the third food codes of the Korea National Health and Nutrition Examination Survey (KNHANES).
Methods
For this purpose, 24-hour recall data from the 2009 Korea National Health and Nutrition Examination Survey, which conducted a partial 2-day survey of food intake, were used. The Multiple Source Method (MSM) was used to estimate the distribution of the usual intake of red and processed meats.
Results
The results of this study show that the mean intake of red meat was 45.07 g while that of processed meat was 4.33 g. These results are slightly higher than the consumption calculated using only tertiary food code, and the difference was statistically significant. Furthermore, characteristics of the estimated usual intake distribution were a smaller standard deviation, increased lower percentiles, and decreased upper percentiles compared to the 2- day mean intake distribution for both red and processed meats. The proportion of individuals not consuming red meat decreased substantially from approximately 37% to 0.7%. The proportion of consumption that exceeded 90 g, which is the upper limit of red meat intake recommended by the National Health Service (NHS), was only approximately 10% in the distribution of usual intake.
Conclusions
As the consumption of processed foods is expected to continuously increase, caution is needed regarding the processes used to calculate food (group) intake to avoid over/underestimation. Moreover, use of KNHANES data to calculate the proportion of the population at risk of insufficiency or excess intake of certain nutrients or food (group), based on one day intake that does not address within-individual variation, may lead to biased estimates.

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  • Red meat and processed meat consumption and the risk of dyslipidemia in Korean adults: A prospective cohort study based on the Health Examinees (HEXA) study
    Seong-Ah Kim, Sangah Shin
    Nutrition, Metabolism and Cardiovascular Diseases.2021; 31(6): 1714.     CrossRef
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