• Title/Summary/Keyword: Food and Nutrition Classification

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The Improvements of the Food and Nutrition Field in the 4th Edition of KDC (KDC 제4판 식품영양학 분야의 수정전개 방안)

  • Kim, Jeong-Hyen;Kang, Myeong-Su
    • Journal of Korean Library and Information Science Society
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    • v.39 no.4
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    • pp.171-188
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    • 2008
  • This study investigated general problems concerning the food and nutrition field in the KDC 4th edition based comparative analysis DOC, NDC, and Disciplinary Classification System of Korean Research Foundation, and suggested on some ideas for the improvements of them. Results of the study is summarized as follows. First, the knowledge classification of the food and nutrition field is divided by nutrition, food, and food service management. Second, the library classification of the food and nutrition field deals separately with nutrition and food, namely the nutrition is subdivided in medical science and food is subdivided in home economics. Third, the food and nutrition field in the KDC 4th edition had to be improved to use current terminology, to choose appropriate headings, and to subdivide the subjects more to introduce new topics.

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Milk and Beverage Preference of College Students (대학생들에 대한 우유와 음료수의 기호성)

  • Kim, Hyun-Dae;Kim, Dong-Soo;Kim, Song-Suk
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.23 no.3
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    • pp.420-428
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    • 1994
  • The purpose of this study was to determine relationship among the observed frequencies of 12 beverages selected by college men and women according to sex, age, race and academic classification and to estimate consumption of milk according to sex, age, race and academic classification. The instrument consisted of a check list and four questions. The sample of 282 subjects, 149 college men and 133 college women, was made by the accidental choice method. Observations occurred in the university center cafeteria at the dinner meal. The significant relationship s were sex and race in association with beverage selections by all subjects. The proportion of men in the distribution who selected regular , carbonated soft drinks and the proportion of white students who selected any of the carobnated soft drinks were the influencies. The result of the study indicated that carbonated soft drinks were the most preferred items followed by milk, water, iced tea, fruit juices, coffee, cocoa, and tea.

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Development of physical activity classification table for Koreans: using the Compendium of physical activities in the United States (한국인을 위한 신체활동분류표 개발: 미국의 신체활동목록 (Compendium of physical activities)을 이용하여)

  • Kim, Eun-Kyung;Jun, Ha-Yeon;Gwak, Ji-Yeon;Fenyi, Justice Otoo
    • Journal of Nutrition and Health
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    • v.54 no.2
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    • pp.129-138
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    • 2021
  • To set the estimated energy requirement (EER) in Dietary Reference Intakes for Koreans (KDRI), we need the coefficient by physical activity stage, as determined by the physical activity level(PAL). Thus, there has been demand for a tool to calculate PAL based on the physical activity diary. This study was undertaken to develop a physical activity (PA) classification table for Koreans, using the 2011 Compendium of physical activities in the United States. The PA classification table for Koreans contains 262 codes, and values of the metabolic equivalent of task (MET) for specific activities. Of these, 243 PAs which do not have Korean specific data or information, were selected from the 2011 Compendium of PAs that originated in the United States; another 19 PAs were selected from the previous research data of Koreans. The PA classification table is codified to facilitate the selection of energy values corresponding to each PA. The code for each PA consists of a single letter alphabet (activity category) and four numeric codes that display the activity type (2 digit number), activity intensity (1 digit number), and specific activities (1 digit number). In addition, the intensity (sedentary behavior, low, middle and high) of specific PA and its rate of energy expenditure in MET are presented together. The activity categories are divided into 4 areas: Daily Activity (A), Movement (B), Occupation (C), and Exercise and Sports (D). The developed PA classification table can be applied to quantify the energy cost of PA for adults in research or practice, and to assess energy expenditure and physical activity levels based on self-reported PA.

Standardization of Ingredient Classification and Quality Attributes of at School Foodservices (학교급식 식재료 분류 및 품질속성체계 표준화 방안 연구)

  • Kim, Jae-Min;Kim, Chang-Sik;Jang, Youn-Joung;Ham, Sunny
    • Journal of the Korean Dietetic Association
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    • v.23 no.4
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    • pp.453-463
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    • 2017
  • The purpose of this study was to standardize ingredients used by school foodservices. This study analyzed the current notation of ingredients in used by used in school foodservices through the NEIS system employed by school foodservices of elementary schools through high schools in South Korea. Specifically, this study suggests systemized standardization of ingredient classification and quality attributes of at school foodservices by applying a case study analysis. The findings from the case analysis of the Electronic Procurement System operator are as follows. Classifications for ingredients of the NEIS system used by school food services consisted of included food group, food name, detailed food name, and description. Classification was not clearly divided between the classification scheme and the attribute system. Therefore, food group, food name, and product information of each food should be categorized as the classification scheme, whereas the detailed food name (excluding product information) and description should be standardized as the attribute system, which is composed of required attributes, recommended attributes, and other attributes. This study suggests that system standardization should be carried out in the field of school foodservices, as advancements between distributors and school food service providers could affect food ingredient quality. Thus, standardization can influence purchase and distribution in many ways.

Development of Korean NOVA Food Classification and Estimation of Ultra-Processed Food Intake Among Adults: Using 2018 Korea National Health and Nutrition Examination Survey (한국형 NOVA 식품분류체계의 개발 및 한국 성인의 초가공식품 섭취량 추정: 2018년 국민건강영양조사 자료를 활용하여)

  • Hae Jin, Park;Sohyun, Park;Jee Young, Kim
    • Korean Journal of Community Nutrition
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    • v.27 no.6
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    • pp.455-467
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    • 2022
  • Objectives: In this study, we suggest a Korean NOVA food classification that can be applied to food consumption among Korean. Based on this suggestion, the nutritional intake of Korean adults from ultra-processed foods (UPFs) was estimated. Methods: Korean commercial food was categorized based on the NOVA food classification criteria through the Korea Food Code and expert meetings. Then, the nutrient intake status of 6,991 participants in the 2018 National Health and Nutrition Examination Survey was analyzed according to the food processing level. Then, 4,152 adult participants (age 19-65) were divided into quartiles on the basis of their intake of UPFs, and the nutrient intakes from UPFs were compared. Results: Korean NOVA Food Classification defines with priority Group I (Unprocessed/ Minimally processed foods) and Group II (Processed culinary ingredients) foods based on the food cooking or consumption. Then, Group III (Processed foods) and Group IV (UPFs) are classified according to whether the characteristics of the raw materials used are maintained or whether the food was consumed before the 1970s. Our analysis results showed that most of the calories in the diet were consumed by Group I (52.7%), followed by Group IV (29.3%). After categorization of the adult participants into four groups according to their energy consumption from UPFs, we found that the highest consumption group (Q4) was younger and had higher percentage of men than women. The comparative analysis of the consumption of ultra-processed foods by Korean adults revealed that participants of a younger age and men consumed higher energy from UPFs than older participants and women, respectively (P < 0.01). Furthermore, the larger intake of UPFs was associated with an increasing trend for a higher intake of energy, sugar, saturated fat (P for trend < 0.001), total fat (P for trend = 0.021), and sodium (P for trend = 0.005), whereas the intake of carbohydrate, protein, and dietary fiber had a decreasing trend (P for trend < 0.001). Conclusions: With the current increase in the consumption of processed and ultra-processed foods, it is important to carefully consider not only nutrient intake but also the level of food processing.

Application of GC-SAW(Surface Acoustic Wave) Electronic Nose to Classification of Origins and Blended Commercial Brands in Roasted Ground Coffee Beans (GC-SAW(Surface Acoustic Wave) 전자코를 활용한 볶은 커피의 원산지 및 배합 커피의 상품별 분류)

  • Seo, Han-Seok;Kang, Hee-Jin;Jung, Eun-Hee;Hwang, In-Kyeong
    • Korean journal of food and cookery science
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    • v.22 no.3 s.93
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    • pp.299-306
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    • 2006
  • The numerous varieties of coffee beans contain a wide range prices and qualities. While the varieties of green coffee beans can generally be distinguished by their appearance, this visual criterion is impossible after the roasting process. Therefore, we need to develop a classification method or device. In this study, the potential of a new type of electronic nose, fast gas chromatography based on a surface acoustic wave sensor(SAW), was evaluated for the classification of origins and blended commercial brands in roasted coffee beans. Eight blended commercial brands and the origins of four similarly roasted ground coffee beans(with no significant difference of color) were rapidly(90 sec/sample) classified. The reproductive results were easily understandable over the aroma image pattern by $VaporPrint^{TM}$. In conclusion, GC-SAW electronic nose can be applied to the classification of origins and commercial brands in roasted ground coffee beans and to e evaluation of the similarities and differences of volatile pattern between samples.

Physical activity classification table for Korean youth: using the Youth Compendium of Physical Activities in the United States (한국 소아청소년을 위한 신체활동분류표: 미국의 청소년 신체활동목록 (Youth Compendium of Physical Activities)을 이용하여)

  • Kim, Eun-Kyung;Gwak, Ji-Yeon;Jun, Ha-Yeon
    • Journal of Nutrition and Health
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    • v.55 no.5
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    • pp.533-542
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    • 2022
  • The total energy expenditure (TEE) consists of the basal energy expenditure (BEE), physical activity energy expenditure (PAEE) and the thermic effect of food. The PAEE accounts for a significant portion of the TEE and can be changed according to individual efforts, and the difference between individuals of PAEE is large. Even for the same physical activity, there is a difference in energy expenditure between adults and children. Therefore, a physical activity classification table for youth is needed to classify the physical activity recorded in the physical activity diary prepared to evaluate children's energy expenditure. It is also necessary to calculate the physical activity level required to set the estimated energy requirement in the Dietary Reference Intakes for children and adolescents in Korea. This paper reports a physical activity classification table for Korean youth using the 2017 Youth Compendium of Physical Activities in the United States. This physical activity classification table includes 110 specific activities classified into 14 major categories by four age groups (6-9, 10-12, 13-15, and 16-18 years old) and their metabolic equivalent values. Of these, 87 physical activities were selected from the 2017 Youth Compendium reported in the United States. Nine physical activities such as washing and going to the bathroom, which are daily activities of children and adolescents not included among them, were selected from the another list (2008) of physical activities in America. The remaining 15 physical activities were selected from the research results, which measured the energy expenditure of Korean children and adolescents. Activity categories were divided into 4 areas: daily activity (A), movement (B), school work (C), exercise and sports (D). This physical activity classification table will help standardize the interpretation and scoring process of physical activity of youth in related studies and community health surveys.