Journal of Nutrition and Health

The Korean Nutrition Society (한국영양학회)
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The Development and Evaluation of a Simple Semi-Quantitative Food Frequency Questionnaire Using the Contribution of Specific Foods to Absolute Intake and Between-Person Variation of Nutrient Consumption

영양소 섭취의 주요급원식품과 주요변이식품들을 이용한 간소화된 반정량 빈도 조사 도구의 개발 및 평가

  • Kim, Mi-Yang (Institute for Health Promotion, Graduate School of Health Science and Management, Yonsei University) ;
  • Suh, Il (Department Preventive Medicine & Public Health, Yonsei University College of Medicine) ;
  • Nam, Chung-Mo (Department Preventive Medicine & Public Health, Yonsei University College of Medicine) ;
  • Yoon, Jee-Young (Institute for Health Promotion, Graduate School of Health Science and Management, Yonsei University) ;
  • Shim, Jee-Seon (Institute for Health Promotion, Graduate School of Health Science and Management, Yonsei University) ;
  • Oh, Kyung-Won (Department Public Health, Graduate School of Yonsei University)
  • 김미양 (연세대학교 보건대학원 국민건강증진연구소) ;
  • 서일 (연세대학교 의과대학 예방의학교실) ;
  • 남정모 (연세대학교 의과대학 예방의학교실) ;
  • 윤지영 (연세대학교 보건대학원 국민건강증진연구소) ;
  • 심지선 (연세대학교 보건대학원 국민건강증진연구소) ;
  • 오경원 (연세대학교 대학원 보건학과)
  • Published : 2002.03.01
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Abstract

This study was conducted to develop a simple flood frequency questionnaire (FFQ) based on the results of contributions of specific floods to absolute intake and between-person variance in nutrients using semi-quantitative FFQ with 93 flood items. The subjects were 554 healthy adults for development of a simple FFQ, and 37 students for a validation test of a developed simple FFQ. The contribution of specific floods to 80% absolute nutrient intake was measured by assessing their percentage in total consumption of a nutrient. To assess the contributions of floods to the between-person variance in the intake of each specific nutrient, stepwise multiple regressions were performed. The number of floods necessary to account for the respective 80% of absolute intake was 11-36, depending on the nutrient, while flower floods (5-16 floods) were required for the corresponding percentage of between-person variation for all nutrients. Important floods for between-person variance include Tangsuyuk (pork) and snacks for energy and fat, fish for protein and polyunsaturated fatty acids (PUFA) and snacks for carbohydrates. Spearman correlation coefficients between 93-itemed FFQ and 63-itemed FFQ ranged from 0.91 for vitamin A to 0.99 for fat in the population data used in developing a simple FFQ. Also, the correlation coefficients between the two FFQs were 0.82-7.92 in the population for the validation test. This study suggests that useful information on dietary intake could be obtained using a simple semi-quantitative FFQ in a large-scale dietary survey in Korea.

Keywords

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