DOI QR코드

DOI QR Code

섭취빈도가 반영된 식품의 일상섭취량 분포의 추정 및 비섭취자 비율의 비교 연구: - 국민건강영양조사 자료(2009년) 활용 -

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

  • 함수지 (한국방송통신대학교 대학원 생활과학과 식품영양학전공) ;
  • 김동우 (한국방송통신대학교 생활과학부 식품영양학전공)
  • Ham, Su Ji (Major of Food and Nutrition, Department of Human Ecology, Korea National Open University) ;
  • Kim, Dong Woo (Major of Food and Nutrition, Department of Human Ecology, Korea National Open University)
  • 투고 : 2021.07.23
  • 심사 : 2021.08.29
  • 발행 : 2021.08.31

초록

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 non-consumers 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.

키워드

과제정보

This research was supported by Korea National Open University Research Fund.

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