• 제목/요약/키워드: food and nutrient database

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식품성분표 차이에 따른 섭취 영양소 추정 비교 연구 (Comparative Study of Nutrient Intakes Estimated by Difference of Nutrient Database)

  • 이심열;백희영
    • 동아시아식생활학회지
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    • 제10권3호
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    • pp.245-251
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    • 2000
  • This study was conducted to investigate the influence of different nutrient databases in estimating nutrient intake. A nutrient survey with Food Frequency Questionnaire containing 65 food items was conducted with 2,426 subjects over 30 years of age living in Yeonchon-gun, Kyungki province. The nutrient intakes were first estimated by using one (A) nutrient database which was based on the Korean Food Composition Table, 4th edition. With the other (B) nutrient database which was based on the Korean RDA(Recommended Dietary Allowances) 6th edition, it was reestimated and two resu1ts were compared. For most nutrients except carbohydrate, calcium, vitamin C and $eta$-carotene, mean nutrient intake level estimated from database B was significantly higher than that from database A(p<0.05). Mean intake level of most nutrients from two databases were significantly correlated by Pearson's correlation coefficients(p<0.001). Results from the ranking of nutrient intake levels of the subjects by two databases were highly correlated ( P >0.9, p<0.001). Weighted kappa values representing measures of agreement ranged from 0.55 databases ranged from 45% for vitamin C to 96% for carbohydrate. This result implies that different nutrient database may produce substantial differences in estimating the absolute nutrient intake but may not be crucial in ranking or classifying individuals with regard to specific nutrient intake.

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식품섭취 조사 분석시 영양가 계산 프로그램의 비교 연구 (Comparison of Nutrient Calculation Programs for Dietary Intake Analysis)

  • 문현경;김은경
    • 대한영양사협회학술지
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    • 제5권1호
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    • pp.100-115
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    • 1999
  • With the growing number of nutrient calculation software packages on the market, there are need to compare each programs. Since each program use different nutrient databases, the result of calculation may be different in value. In this study, we use three(A, B, C) most popular program package to compare the result of nutrient calculation. For the analysis, 24hour recall data from 97 preschool children, 66 university students and 95 aged persons were used. For the calculation if subjects gave the complete recipe, recipes from the subjects were used. Otherwise, recipe from the program database were used. Common 15 nutrients of which all program can give results, are analyzed and compared for mean nutrient intake and nutrient intake for food groups. Ten nutrients among 15 nutrients which have RDA were analyzed for % of RDA and the distribution of RDA. Mean nutrient intake of Fe, vitamin A, Na were statistically different among results of the calculation using three programs(p<0.001). The distribution of Fe, vitamin A and vitamin $B_2$, niacin were statistically different among three results of the calculation using three program(p<0.001, p<0.05). Nutrient intakes of food groups were statistically different in cereal and products, bean and products, vegetables, fruits, fishes and shellfishes, milk and products, beverages, and seasonings(p<0.0001). It is hard to say that the difference among three program are coming from the difference from nutrient database or recipe database in this study. With these result, we conclude that it is necessary to evaluate nutrient database and recipe database as the foremost consideration in selecting nutrient calculation software. Those differences should be considered when interpreting results, comparing results with other studies, and when developing treatment plans in the clinical settings.

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Selection of key foods for the systematic management of a food and nutrient composition database

  • Shim, Jee-Seon;Lee, Jung-Sug;Kim, Ki Nam;Lee, Hyun Sook;Kim, Hye Young;Chang, Moon-Jeong
    • Nutrition Research and Practice
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    • 제11권6호
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    • pp.500-506
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    • 2017
  • BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for developing and updating the database. We aimed to identify key foods in the Korean diet to set priorities for future analysis of foods. SUBJECTS/METHODS: The food consumption data of the Korea National Health and Nutrition Examination Surveys 2013-2014 were used. We modified the US Department of Agriculture's key food approach. First, major foods were analyzed, contributing to 75%, 80%, 85%, or 90% of each nutrient intake. Second, the cumulative contributions to nutrient intakes were compared before and after excluding the foods least commonly consumed by individuals. Third, total nutrient score for each food was calculated by summing all percent contributions times 100 for nutrients. To set priorities among the foods in the list, we sorted the score in descending order and then compared total percent contributions of foods, within the 100, 90, 85, 80, and 75 percentiles of the list. Finally, we selected the minimum list of foods contributing to at least 90% of the key nutrient intake as key items for analysis. RESULTS: Among the 1,575 foods consumed by individuals, 456 were selected as key foods. Those foods were chosen as items above the 80 percentile of the total nutrient score, among the foods contributing at least 85% of any nutrient intake. On an average, the selected key foods contributed to more than 90% of key nutrient intake. CONCLUSIONS: In total, 456 foods, contributing at least 90% of the key nutrient intake, were selected as key foods. This approach to select a minimum list of key foods will be helpful for systematically updating and revising food composition databases.

Web Expert System for Nutrition Counseling and Menu Management

  • Hong Soon-Myung;Kim Gon
    • Journal of Community Nutrition
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    • 제7권2호
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    • pp.107-113
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    • 2005
  • This study was conducted to develop a web expert system for nutrition counseling and menu management. This program manipulates a food, dish and menu and search database that has been developed. Clients can select a recommended general and therapeutic menu using this system. The web expert system can analyze nutrients in menus and compare nutrient contents of menus with Korean Recommended Dietary Allowances. It can access the food, dish and menu database. The expert menu database can insert, store and generate the synthetic information of age, sex, and therapeutic purpose of disease. With investigation and analysis of the client's needs, the menu planning program on the internet has been continuously developed. This system consists of the database that reaches to the food composition, the dishes and the menu. Clients can search food composition and conditional food based on nutrient name and amounts. This system is able to draw up the food with its order in dish. The menu planning can be organized and nutrients analysis can be compared with Korea Recommended Allowance. This system is able to read the nutrient composition of the each food, the dish and the menu. The results of analysis is presented quickly and accurately. Therefore it can be used by not only usual people but also dietitians and nutritionists who take charge of making a menu and experts in the field of food and nutrition. It is expected that the web expert system can be useful of nutrition education, nutrition counseling and expert menu management.

반 정량 식품빈도 조사법 (SQFFQ)과 24시간 회상법을 이용한 영양평가 Software 개발 (Software for Nutritional Assessment Using a Semi-Quantitative Food Frequency Questionnaire and the 24-hour Recall Method)

  • 이상아;이경신;김형숙;이해정;최혜미
    • 대한지역사회영양학회지
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    • 제7권4호
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    • pp.548-558
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    • 2002
  • The purpose of this study was to develop a computer software program for nutritional assessment using a Semi-Quantitative Food Frequency Questionnaire (SQFFQs) and the 24-hour Recall Method. The software for the SQFFQ was divided into input, output, and database. For dietary analyses, recipe and food databases were used. The recipe database included 25 items and the food database was divided into 18 food groups. The food database was composed of 19 general nutrient items, 33 fatty acids, and 18 amino acids. The software developed in this study can be summarized as follows: 1) input items related to the individual s ages information, lifestyle, biological values, and dietary habits; 2) individualized data in percent of the Korean RDA, the energy ratios of carbohydrates, proteins and fats, the ratio of animal to plant source intakes, and the distribution of food group intakes; 3) Statistical data on the individual's information, lifestyle, biological values, and dietary intakes including the frequency of intake of cooked foods, the amounts of food, and the number of food groups, and nutrients. In the 24-hour Recall Method, the input and output consisted of the individual s information and cooked dish intakes. The individual s report included the amounts of nutrient intake according to number of meal and days, in comparison to the Korean RDA, the energy ratio for carbohydrates, proteins and fats, the ratio of animal to plant source intakes, and the distribution of food group intakes. The statistical report presented the number of food groups and foods, and the nutrient intakes. To evaluate the validity of the SQFFQ, the Spearman Rank Order Correlation and kappa values were used. As a result, correlation coefficients comparing the 24-hour Recall Method appeared to be more than 0.5, except for vitamin $B_1, B_2$, niacin, and vitamin E. The kappa values for energy and carbohydrate intakes were both 0.7, and protein, fat, vitamin C, folate, Ca, and iron intakes ranged from 0.3 to 0.7.

NutriSonic web expert system for meal management and nutrition counseling with nutrient time-series analysis, e-food exchange and easy data transition

  • Hong, Soon-Myung;Cho, Jee-Ye;Lee, Jin-Hee;Kim, Gon;Kim, Min-Chan
    • Nutrition Research and Practice
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    • 제2권2호
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    • pp.121-129
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    • 2008
  • This study was conducted to develop the NutriSonic Web Expert System for Meal Management and Nutrition Counseling with Analysis of User's Nutritive Changes of selected days and food exchange information with easy data transition. This program manipulates a food, menu and meal and search database that has been developed. Also, the system provides a function to check the user's nutritive change of selected days. Users can select a recommended general and therapeutic menu using this system. NutriSonic can analyze nutrients and e-food exchange ("e" means the food exchange data base calculated by a computer program) in menus and meals. The expert can insert and store a meal database and generate the synthetic information of age, sex and therapeutic purpose of disease. With investigation and analysis of the user's needs, the meal planning program on the internet has been continuously developed. Users are able to follow up their nutritive changes with nutrient information and ratio of 3 major energy nutrients. Also, users can download another data format like Excel files (.xls) for analysis and verify their nutrient time-series analysis. The results of analysis are presented quickly and accurately. Therefore it can be used by not only usual people, but also by dietitians and nutritionists who take charge of making a menu and experts in the field of food and nutrition. It is expected that the NutriSonic Web Expert System can be useful for nutrition education, nutrition counseling and expert meal management.

충청 인근지역 어린이, 청소년의 엽산 섭취량과 급원식품 - 일부 식품의 엽산 분석으로 수정한 데이터베이스 활용 (Dietary folate intake and food sources of children and adolescents in Chungcheong area - Using nutrient database revised by measured folate in selected foods)

  • 김지현;이은정;현태선
    • Journal of Nutrition and Health
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    • 제48권1호
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    • pp.94-104
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    • 2015
  • 본 연구에서는 엽산의 급원식품으로 보고된 식품 51종의 엽산을 분석하고, 값에 차이가 많이 있는 경우 엽산 데이터베이스를 수정하여, 수정한 데이터베이스로 어린이와 청소년의 엽산 섭취량을 추산하고 급원식품을 알아보고자 하였다. 대상자는 대전, 충청도 및 전라도에 거주하는 만 20세 미만 567명으로 비연속 2일 동안의 24시간 회상법에 의해 식품섭취조사를 실시하였다. 51종의 식품을 새롭게 분석하여 현재의 데이터베이스와 비교한 결과 현재 값의 18.7%~322.9%의 결과를 얻었다. 기존의 값이 실험한 두 값 사이에 있거나, 기존값과의 차이가 10% 미만인 경우에는 수정하지 않았으며, 그 외에 차이가 있는 40종은 새로운 분석값으로 수정하였다. 수정한 데이터베이스로 대상자들의 엽산 평균섭취량을 성별, 연령별로 나누어 계산한 결과 모든 연령층에서 평균 엽산 섭취량이 권장섭취량보다 높았으나 12~14세 남자와 12~19세 여자의 평균 엽산 섭취량은 권장섭취량보다 낮은 것으로 나타났다. 계란, 배추김치, 쌀, 귤은 모든 연령층에서 엽산 급원식품의 10위 안에 포함되었다. 본 연구에서는 일부 급원식품 51종만을 분석하였으나 한국인들이 자주 먹는 식품의 조리 후 엽산 함량을 분석하여 보완해 나감으로써 더 정확한 엽산 섭취량을 추산할 수 있도록 해야 할 것이다. 또한 12~19세 여자의 평균 엽산 섭취량이 다른 연령층에 비해 상대적으로 낮게 나타난 것을 볼 수 있었는데, 엽산은 성장기 및 가임여성에게 특히 중요한 비타민으로써 이들을 위한 엽산 영양교육이 이루어져야 할 것으로 생각된다.

한국인 다빈도 섭취 과일의 영양관련 지수 분석 (Analysis of Nutritional Index of Frequently Consumed Fruits in South Korea)

  • 유지현;임정은;임현정;조여원
    • 한국식생활문화학회지
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    • 제29권6호
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    • pp.659-667
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    • 2014
  • Fruits are good sources of vitamins, minerals, fiber, and phytochemicals, which are known to reduce serum lipids, oxidative damage, and blood pressure as well as improve blood glucose control. The purpose of this study was to estimate nutrient quality indices of fruits by carrying out a critical analysis of pre-existing methods according to their nutritional compositions. Four methods were used to assess the nutrient indices of 26 fruits, which are frequently consumed by Koreans based on the fourth Korean National Health and Nutrition Examination Survey (2009). Naturally nutrient rich score (NNR), nutrient rich food (NRF), nutrient adequacy score (NAS), and nutrient density score (NDS) were used to calculate nutrient quality indices. The Korean Nutrition Society Food Composition database of fruits based on 100 g edible portions was used. The algorithm of each method included the mean percentage of daily values (Dietary Reference Intakes for Koreans, 2010) for particular nutrients based on consumption of 1,900 kcal/day. The relative score indicated that strawberries, kumquat, and lemon had high nutrient quality indices. In addition, mango, lemon, persimmon, strawberry, apricot, and tangerine fruits are rich in antioxidant nutrients such as ${\beta}$-carotene, vitamin C, vitamin E, and selenium. However, scores of nutrient quality indices did not imply that higher scores of particular fruits are superior. We suggest moderate seasonable consumption a variety of fruits. Our results can be used as a reference for consumers when they choose fruits.

한국인 상용식품의 플라보노이드 데이터베이스 구축 (Development of flavonoid database for commonly consumed foods by Koreans)

  • 양윤경;김지연;권오란
    • Journal of Nutrition and Health
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    • 제45권3호
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    • pp.283-292
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    • 2012
  • Flavonoids have been hypothesized to reduce the risk of chronic diseases, but the lack of a flavonoid database hampered epidemiological studies addressing this issue in Korea. In this study, we developed a flavonoid database, based on a systematic review. A total of 1549 food items containing flavonoids were selected using the Korean Nutrient Database. Among them, flavonoid contents for only 649 food items were evaluated with analytical values and the remaining 900 items were replaced with adaptations or calculations from similar items. The developed flavonoid database covered 93.2% of fruits and fruit juices, 76.1% of vegetables, 98.4% of legumes and legume products, and 85.0% of all plant foods overall (1,549 items) as reported by the 24-hr dietary recall method regarding the 2008 Korean National Health and Nutrition Examination Survey. We found that this flavonoid database, overall, included 95.6% of all mainly consumed plant foods by Koreans. This flavonoid database is expected to be useful in regards to the correlation study of flavonoid intake and chronic diseases.

우리 국민의 나트륨 및 칼륨 섭취량 평가: 식품별 영양성분 함량 DB와 한국형 총 식이조사 기반 추정량 비교 연구 (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)

  • 이지연;권성옥;이수현;서민정;이계호;김초일
    • 대한지역사회영양학회지
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    • 제28권3호
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    • pp.235-244
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    • 2023
  • Objectives: Based on the results from the Korean Total Diet Study (KTDS), the sodium (Na) and potassium (K) intake of Koreans were estimated and compared with intake estimates from the Food & Nutrient Database (FNDB), as in the Korea National Health and Nutrition Examination Survey (KNHANES) to verify the validity of these estimates. Methods: One hundred and thirty-four representative foods (RFs) covering 92.5% of the total food intake of Koreans were selected, and 228 pairs of corresponding 'RF x representative cooking method' were derived by reflecting the methods used mainly in terms of frequency and quantity in their cooking. RF samples were collected from three cities with a larger population size in three regions (nine cities) nationwide, and six composite samples were made for each RF, considering its regional and/or seasonal characteristics. One thousand three hundred and sixty-eight 'RF x representative cooking method' pair samples were prepared, and the Na and K contents were assessed using inductively coupled plasma atomic emission spectrometry (ICP-MS). The Na and K intake of the Korean population was estimated by linking the content with the food intake data from the 7th KNHANES. Results: The mean Na and K intake of Koreans were 2,807.4 mg and 2,335.0 mg per person per day, respectively. A comparison with the Na and K intake from KNHANES, including only RFs of KTDS, showed comparable results with less than 5% variation. While the contribution and ranking of food items to Na intake were similar between KNHANES and KTDS, there were differences in K intake. This was attributed to the large discrepancies in the K content of rice and coffee between KTDS results and the values in the 9th Revision of the National Food Composition Table used in KNHANES. Conclusions: The Na and K intake of Koreans estimated based on the KTDS, which performed nutrient analysis on samples prepared to a 'table-ready' state using foods of the representative collection, was similar and comparable with that of KNHANES. This supports the validity and usefulness of FNDB-based nutrient intake estimation at the population level. The list of nutrients studied in KTDS is expected to be expanded, allowing for intake estimation of nutrients with currently insufficient or absent information in the FNDBs in use.