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.
Shim, Jee-Seon;Lee, Jung-Sug;Kim, Ki Nam;Lee, Hyun Sook;Kim, Hye Young;Chang, Moon-Jeong
Nutrition Research and Practice
/
v.11
no.6
/
pp.500-506
/
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.
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.
This review was conducted to evaluate the 'Korean Food Composition Table' and establish it as an internationally accepted database by examining its contents and evolution over time. The food composition table has been published by National Rural Living Science Institute, every 5 years, listing the nutrient content for each food, as both the raw agricultural product and processed foods, since the 1$^{st}$ edition in 1979 by RDA (Rural Development Administration). This is the basic data applied to the evaluation of the nutritional value of foods in Korea. The data is used as a useful tool in many fields, not only for the establishment of the National Food Supply Plan but also for nutritional research, the draft of National Food Policy, and in clinical and epidemiological research. The database is also utilized by food service providers and food processors, etc. Consumers and the international society have been interested in the quality and safety of foods and raw agricultural products. As these data expand in volume, the type of foods included in the composition table is expanded to cover new additions for the convenience of users of the 'Nutrient Data Base' as judged by the publishers. The form of these reports varies, according to the current information, from a simple booklet to CD-ROM and to the Web service. We expect to continue to make improvements in the National Standard Table for food composition through expanding both the quantity and quality of data in an orderly manner. This effort can help food composition data to be comprehensively developed systematically and gradually at the national level.l.
The food composition tables are frequently used to health and nutrition practices. But it is difficult to find out food exchange lists with food exchange groups in the food composition table. Over 2500 items and many kinds of nutrients are in the food composition table. But now food exchange lists are used a few foods. The internet demands the users needs for obtaining more food exchange lists and nutrient information from food composition. This basic study is to solve the users need and the supply more efficient and effective manipulation system for e-food exchange database construction and search system:ENECC/e-food exchnage(E-Nutrition Education and Couseling Center/e-food exchange). This paper introduces the food exchange database construction and search system(ENECC/e-food exchange) using the formula which calculates the food exchange quantity of 6 food exchange groups and added one extra groups(alcohol) based on the internet. The ENECC/e-food exchange database is basically based on the 6th food composition table(2001) of the National Rural Living Science Institution in Rural Development Administration, Korea. The e-food exchange database are consisted of 2,261 foods in 6 basic food groups and one extra groups by using ENECC calculating formula. Also, the e-food exchange database has the proximate composition, mineral and vitamin content such as energy, moisture, protein, fat, carbohydrate, ash, calcium, phosphorus, iron, sodium, potassium, retinol equivalent, retinol, â-carotene, thiamin, riboflavin, niacin, ascorbic acid, refuse per 100g of each food.
This study was reviewed databases and outcomes of national/international off-line and on-line(Internet) nutrition softwares to identify the present conditions of nutrition softwares, and investigated user's needs and determine which component should be included in nutrition software. The most frequently used databases for the national programs were the food composition table provided from the National Rural Living Science Institution in Rural Development Administration and the food composition table and the nutrient contents of foods provided from the Korean Nutrition Society. For international programs, the food composition table from the USDA was commonly used. The analysed outcomes included the degree of obesity, nutrient analysis and nutrient intake compared with RDA, food intake from each by food group, food habits and the frequency of food consumption. As to the result of needs assessment for the Internet nutrition softwares, it was suggested that the needs of the Internet nutrition softwares were high because most of the respondents replied that 3-point('it is needed') or 4-point('it is necessary') on 4-points likert scale. As to the databases, the needs of 'food composition analysis' and 'the suggestion of the Korean RDA' were high. For the basic information for foods, the respondents replied that 'the classification of foods', 'foods codes', 'the amount of ingredients' and 'nutrient analysis' should be included. The needs of 'nutrient analysis of meal', 'diet therapy' and 'meal plan by caloric requirements' were high. As for utilizing the Internet meal planning programs, the respondents replied that 'it should be easy to use' most and demand for 'data saving and the saved data should be usable later' and 'meal planning education tools' were high. In conclusion, the Internet nutrition software that satisfies various needs of users should be developed for policy making that promote public health, nutritional care and self-supporting of foods.
The ascorbic acid contents of 101 food items were analyzed by HPLC to provide database to estimate dietary intakes of ascorbic acid of Korean. Foods with high contents of ascorbic acid were green vegetables, citrus fruits, strawberry, kiwi, and fruit juices. This analysis data of ascorbic acid contents in some food items showed significant deviations compared with other Food Composition Table. Ascorbic acid content in soups were lower than those of raw foods by about 57%. The ascorbic acid contents in blanched or seasoned after blanching vegetables and boiled or steamed meals turned out to be decreased by about 52.3% and 47.5%, respectively, but the degrees were varied with the kind of foods as well as cooking methods. The ascorbic acid intakes from 18 most frequently consumed meals in Korea were determined to be about 1/2 of Food Composition Table according to this analysis data. The results showed the importance of accurate food database in assessing nutrient intake levels of population.
The purpose of this study is to computerize all the necessary information on the daily food value and nutritional status for individuals and groups. In this research, a FOCUS-16jXT (16 bit personal computer ) compatible with IBM-PCjXT was used, and the database files and programs were created by using the dBASEIII package. The food life evaluation system consists of 3 subsystems of Reference, Nutrition Status Assessment and Food Source. The findings are summerized a8 follows: 1. Reference: This subsystem enables users to proceed to the next step, if necessary, by describing each subsystem. 2. Nutrition Status Assessment. 1) Food Habit Assessment: This subsystem determines whether the user has a good food habit or not, based on the answers for ten questions about daily food life. 2) Obesity Assessment: This subsystem calculates Broca index, which is used as a indicator of obesity. 3) Nutrient Intakes: When personal data such as age, sex, weight, height and food consumptions are input, it is possible to calculate the followings. i) Comparison between the amounts intaked and the recommended dietary daily allowances of various nutrients ii) Nutrient intakes from each food group and their composition rates for the nutrients iii) Nutrient intakes per unit body surface area iv) Composition of lipid intake 3. Food Sources: The appropriate food sources for the lacking nutrients will be recommended to the subjects.
The National Standard Food Composition Table published by the Rural Development Administration (RDA) provides the foundations in research, nutrition monitoring, policy and dietary practices in Korea. This databases consists of several sets of data including food descriptions, nutrients, portion weights, and source of data. The National Standard Food Composition Table have been published since 1970 and, recently, new version (8th edition) of Food Composition Table which has quantitative and qualitative nutrient data is released in 2011. In addition, the User-friendly Food Composition Table is divided into adult, children, and elderly categories depending on the subjects because we need different nutrients according to various ages. The Tables of Food Functional Composition is firstly edited in 2009. RDA published the minerals and fatty acids composition table, tables of amino acid, fat-soluble vitamin composition table, and the cholesterol table. The resulting database will be widely used. The users of the databases are from diverse fields, includeing federal agencies, the food industry, health professionals, restaurants, software application developers, academia and research organizations, international organizations, and foreign governments ect. Therefore, consistent improvements of the database is important, so that people can better address such health challenges by providing reliable and accurate data.
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.
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