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Su Ji Ham 1 Article
[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.

Citations

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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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