• Journal of Nutrition and Health
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• 제55권6호
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• pp.601-616
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• 2022

In the era of the fourth industrial revolution technology, the inclusion of personalized nutrition for healthcare (PNH), when establishing a healthcare platform to prevent chronic diseases such as obesity, diabetes, cerebrovascular and cardiovascular disease, pulmonary disease, and inflammatory diseases, enhances the national competitiveness of global healthcare markets. Furthermore, since the government experienced COVID-19 and the population dead cross in 2020, as well as numerous health problems due to an increasing super-aged Korean society, there is an urgent need to secure, develop, and utilize PNH-related technologies. Three conditions are essential for the development of PNH technologies. These include the establishment of causality between obesity genome (genotype) and prevalence (phenotype) in Koreans, validation of clinical intervention research, and securing PNH-utilization technology (i.e., algorithm development, artificial intelligence-based platform, direct-to-customer [DTC]-based PNH, etc.). Therefore, a national control tower is required to establish appropriate PNH infrastructure (basic and clinical research, cultivation of PNH-related experts, etc.). The post-corona era will be aggressive in sharing data knowledge and developing related technologies, and Korea needs to actively participate in the large-scale global healthcare markets. This review provides the importance of scientific evidence based on a huge dataset, which is the primary prerequisite for the DTC obesity gene-based PNH technologies to be competitive in the healthcare market. Furthermore, based on comparing domestic and internationally approved DTC obese genes and the current status of Korean obesity genome-based PNH research, we intend to provide a direction to PNH planners (individuals and industries) for establishing scientific PNH guidelines for the prevention of obesity.

• 한국식품조리과학회지
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• 제26권2호
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• pp.138-145
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• 2010

This study was conducted to develop a novel tomato sauce using natural seasoning. The data was analyzed using SPSS for Windows (version 14.0). Two factors of the tomato sauce were varied was tomato paste and sugar. Nine tomato sauces were produced with various compounding ratios of tomato paste and sugar. The color, viscosity and sensory evaluations of the nine tomato sauces were determined. Items examined in the sensory evaluation were color, sweetness, viscosity and overall quality. Sweetness($4.44{\pm}1.36$), viscosity($5.16{\pm}1.28$) and overall quality($4.68{\pm}1.11$) of the tomato paste 340g and sugar 100 g sample got highest scores. Therefore, this composition was used as tomato spaghetti sauce. Tomato spaghetti sauce using a natural tomato sauce and artificial tomato sauce was prepared and subjected to a sensory evaluation. Items included in the sensory evaluation were taste, flavor, harmony, overall quality. In this analysis, all sensory item scores of the tomato spaghetti sauce using natural seasoning were significantly higher than when artificial seasoning was used. Therefore, the potential of commercialization of tomato sauces using natural seasoning was confirmed.

• Journal of Community Nutrition
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• 제5권3호
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• pp.178-185
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• 2003

Content analysis of food advertisements was undertaken to investigate the nature of the messages related to health, nutrition or consumer-promotion in 2001 women's magazines. Advertisements on baby foods were collected from three women's magazines and the final samples obtained were 42 different copies of advertisements. All the messages in each sample were counted and calculated for their frequency (％). Messages were categorized into four areas (health, nutrition, non-nutrition, consumer promotion), and each area was classified into more detailed categories. Results showed that all the messages in 42 samples and average messages per advertisement were 1288 and 30.7, respectively. The most common type of promotional messages was health related (e.g., appeal to enhanced immune function and disease prevention and brain development), followed by consumer related, nutrition and non-nutrition messages in order. Messages about high quality and all natural ingredients were more emphasized in the consumer related category. Messages on fats (DHA, lecithin and arachidonic acid), proteins (neucleotides, taurine) and mineral (calcium, iron) were most frequently found in nutrition category. Amongst the three kinds of baby foods, formula ads had the most numerous messages related to health and nutrition. There were more consumer related messages in the ads of weaning foods, and more promotional messages about no addition of antiseptic, artificial additives, and food colors in the ads for older infant foods. Messages violating regulation (e.g., exaggerated or inaccurate or non-scientific messages) were frequently found in the advertisements of three kinds of baby foods. In conclusion, tighter supervision of food advertisements and nutrition education is required to protect the consumers from misleading advertisements.

• Journal of Nutrition and Health
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• 제36권1호
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• pp.32-39
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• 2003

Phytoestrogens, especially soy-derived isoflavones, are receiving great scrutiny as a food supplement for preventing hormone dependent disease such as postmenopausal osteoporosis. Their beneficial effects are derived from aglycone form of isoflavones, such as daidzein, genistein or glycitein. In contrast to the common usage of soybean, black bean (Rhynchosia Molubilis : Yak-kong) has been used as a supplement for preventing postmenopausal osteoporosis in oriental medicine. To investigate the effects of the saliva, artificial stomach fluid, and digestive enzymes on the conversion of glycosidic isoflavone to aglycone form, soybean and black bean were extracted with 70% methanol and freeze-dried. The recovery yield of methanol extracts of black bean was 14.1% which was higher than that of soybean, 13.5%. In terms of total isoflavones, we routinely obtained larger amount of isoflavones from black bean than those from soybean. By incubating methanol extracts of soybean and black bean with IN HCI for 180 min, the proportions of aglycones relative to the total isoflavone were significantly increased (32.4% and 52.4%, respectively). In vitro conversion, digestive enzymes ($\beta$-glucosidase and $\alpha$-glucosidase) may hydrolyze glycosidic bond of isoflavone more effectively than saliva or artificial stomach fluid did. It seems to say that the activity of $\beta$-glucosidase was higher than those of $\alpha$-glucosidase. The rate of conversion of glucoside form to aglycone form in black bean and soybean was low in physiological condition (pH) tested, although the enzymatic hydrolysis of glucoside was active. These results demonstrated that the composition of aglycone in food may be the important factors in terms of the bioavailability of isoflavones. (Korean J Nutrition 36(1): 32-39, 2003)

• 한국식품영양학회지
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• 제9권3호
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• pp.271-274
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• 1996

New drying method was tested for the Quality control for Kwamegl, dry Pacific saucy(Cololahis saira) In east coast area of Kyungbuk province, Korea. Cholesterol content of raw fish was 56% on dry basis, and decreased to 50.82 mg% rapidly the first 3 day and then, it was almost unchanged. However, the cholesterol content decreased slowly to 52.3 mg% during 15 days in new artificial drying.

• Journal of Nutrition and Health
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• 제55권1호
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• pp.1-9
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• 2022

In the past few decades, great progress has been made on understanding the interaction between nutrition and health status. But despite this wealth of knowledge, health problems related to nutrition continue to increase. This leads us to postulate that the continuing trend may result from a lack of consideration for intra-individual biological variation on dietary responses. Precision nutrition utilizes personal information such as age, gender, lifestyle, diet intake, environmental exposure, genetic variants, microbiome, and epigenetics to provide better dietary advices and interventions. Recent technological advances in the artificial intelligence, big data analytics, cloud computing, and machine learning, have made it possible to process data on a scale and in ways that were previously impossible. A big data platform is built by collecting numerous parameters such as meal features, medical metadata, lifestyle variation, genome diversity and microbiome composition. Sophisticated techniques based on machine learning algorithm can be used to integrate and interpret multiple factors and provide dietary guidance at a personalized or stratified level. The development of a suitable machine learning algorithm would make it possible to suggest a personalized diet or functional food based on analysis of intra-individual metabolic variation. This novel precision nutrition might become one of the most exciting and promising approaches of improving health conditions, especially in the context of non-communicable disease prevention.

• 대한영양사협회학술지
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• 제24권2호
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• pp.117-140
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• 2018

The number of patients is increasing and their mean age is also increasing. Proper dietary adjustments are necessary to prevent protein-calorie malnutrition or complications but it is difficult for dialysis patients to adapt to diet therapy due to stress or anorexia. Education does not consider the individual characteristics, knowledge, dietary inhabit education demands, and initial education. The purpose of this study was to identify dialysis patient's nutrition knowledge and, dietary practice and compare those with nutrition education or counseling demands for providing basic data of desirable nutrition management. The data were collected by a survey consisting of the general characteristics, disease related characteristics, nutrition education and counsel characteristics, level of nutrition knowledge, diet therapy, and nutrition education and counsel demands from the 28th March to 22th July 2017. The total number of subjects were 33 patients among dialysis patients at two tertiary medical institutions and an artificial kidney room at a private hospital in Incheon Gyeonggi. The data collected were analyzed statistically using the SPSS program 23.0, followed by further analyses using frequency analysis, one-way ANOVA, cross analysis, and correlation analysis. The results of the dialysis patients showed that younger (P<0.05), female (P<0.05), abnormal high school diploma (P<0.001) groups had high nutrition scores. In addition, dietary practice and nutrition education and counsel demands showed a positive correlation (P<0.05, P<0.01). In particular, females were higher than males in nutrition knowledge, dietary practice, nutrition education, and counseling demand scores.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제23권6호
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• pp.521-530
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• 2020

Purpose: Malnutrition is a common feature in critically ill children. Enteral nutrition (EN) is the main strategy to nutritionally support critical ill children, but its use can be hindered by the development of intolerance. The study aimed to assess the effectiveness and safety of amoxicillin/clavulanate (A/C) to treat EN intolerance. Methods: We retrospectively evaluated patients admitted to the pediatric intensive care unit from October 2018 to October 2019. We conducted a case-control study: in the first 6 months (October 2018-April 2019) we implemented the nutritional protocol of our Institution with no drug, whereas in the second half (May 2019-October 2019) we employed A/C for 1 week at a dose of 10 mg/kg twice daily. Results: Twelve cases were compared with 12 controls. At the final evaluation, enteral intake was significantly higher than that at baseline in the cases (from 2.1±3.7 to 66.1±27.4% of requirement, p=0.0001 by Wilcoxon matched-pairs signed rank test) but not in the controls (from 0.2±0.8 to 6.0±14.1% of the requirement, p=NS). Final gastric residual volume at the end of the observation was significantly lower in the cases than in the controls (p=0.0398). The drug was well tolerated as shown by the similar safety outcomes in both cases and controls. Conclusion: Malnutrition exposes critically ill children to several complications that affect the severity of disease course, length of stay, and mortality; all may be prevented by early EN. The development of intolerance to EN could be addressed with the use of A/C. Future prospective clinical trials are needed to confirm these conclusions.

• Asian-Australasian Journal of Animal Sciences
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• 제24권9호
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• pp.1192-1198
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• 2011

Peri-partum metabolic profile was evaluated in winter and summer calving, with 15 Murrah buffaloes in each seasonal group. In summer calvers, significantly lower values were observed for blood plasma urea nitrogen (BUN) at day 30 pre-partum (p<0.05), on calving day (p<0.05) and at all other stages (p<0.01); plasma non-esterified fatty acids (NEFA) values were significantly lower on day 30 pre-partum (p<0.01) and on day 60 post-partum (p<0.05). This was associated with significant reduction in days to first service (DFS) and service per conception (SPC) and an overall better reproductive performance in terms of service period, risk to first service on days 60, 90 and >90, and pregnancy risk to first service up to days 60 and 90. This may be attributed to better pre-partum nutritional status. Cervical and uterine involution were completed in fewer days, involutional changes took place at a faster pace and there were a lower number of abnormal involutional changes in winter compared to summer season. This may be attributed to better post-partum nutrition and less environmental stress. However, validation requires further targeted cohort investigation with a large sample size.

• Nutrition Research and Practice
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• 제15권sup1호
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• pp.22-31
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• 2021

Coronavirus disease 2019 (COVID-19) is a new type of respiratory disease that has been announced as a pandemic. The COVID-19 outbreak has changed the way we live. It has also changed the food service industry. This study aimed to identify trends in the food and food service industry after the COVID-19 outbreak and suggest research themes induced by industry trends. This study investigated the industry and academic information on the food and food service industry and societal trends resulting from the COVID-19 outbreak. The most noticeable changes in the food industry include the explosive increase in home meal replacement, meal-kit consumption, online orders, take-out, and drive-through. The adoption of technologies, including robots and artificial intelligence, has also been noted. Such industry trends are discussed in this paper from a research perspective, including consumer, employee, and organizational strategy perspectives. This study reviews the changes in the food service industry after COVID-19 and the implications that these changes have rendered to academia. The paper concludes with future expectations that would come in the era of COVID-19.