• Journal of Nutrition and Health
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• v.57 no.1
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• pp.75-87
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• 2024

Purpose: Dietary habits are strongly related to the symptoms of people with irritable bowel syndrome (IBS). Therefore, personalized nutrition management can help reduce symptoms and improve the quality of life of people with IBS. This study assessed the effectiveness of a personalized web-based nutrition management based on the types of food that trigger IBS symptoms. Methods: Sixty Korean adults with IBS according to Rome IV criteria in their 20s and 30s were enrolled in this study. The data from the final 49 patients who completed a three-month personalized nutrition intervention were analyzed. The general information, anthropometry, dietary intake survey, and gut microbiota were examined pre and post-intervention. The gut microbiota analysis included the relative abundance and the Shannon index. The food intake was recorded for two days for personalized nutrition education, followed by three months of personalized nutrition intervention. Statistical analysis was performed using the Wilcoxon signed-rank test in SPSS 26.0, with the significance set to p < 0.05. Results: The relative abundance of the gut microbiota changed after personalized nutrition management, with a significant decrease in the presence of Veillonella (p = 0.048). Furthermore, when the gut microbiota was analyzed according to the type of food that triggers symptoms, the diversity was increased significantly in the high fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAPs) type (p = 0.031) and FODMAPs-containing gluten-type personalized nutrition intervention types (p < 0.001). Conclusions: Gut microbial diversity and gut microbiota distribution changed after using web-based personalized nutrition management. Hence, personalized nutrition management that considers trigger foods may improve IBS symptoms.

• Journal of the Korean Society of Food Culture
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• v.38 no.4
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• pp.185-190
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• 2023

This paper elucidates the novel direction of food research in the era of the 4^th Industrial Revolution characterized by personalized approaches. Since conventional approaches for identifying novel food materials for health benefits are expensive and time-consuming, there is a need to shift towards AI-based approaches which offer more efficient and cost-effective methods, thus accelerating progress in the field of food science. However, relevant research papers in this field present several challenges such as regional and ethnic differences and lack of standardized data. To tackle this problem, our study proposes to address the issues by acquiring and normalizing food and biological big data. In addition, the paper demonstrates the association between heath status and biological big data such as metabolome, epigenome, and microbiome for personalized healthcare. Through the integration of food-health-bio data with AI technologies, we propose solutions for personalized healthcare that are both effective and validated.

• Journal of Microbiology and Biotechnology
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• v.32 no.12
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• pp.1497-1505
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• 2022

Recently, the concept of personalized nutrition has been developed, which states that food components do not always lead to the same metabolic responses, but vary from person to person. Although this concept has been studied based on individual genetic backgrounds, researchers have recently explored its potential role in the gut microbiome. The gut microbiota physiologically communicates with humans by forming a bidirectional relationship with the micronutrients, macronutrients, and phytochemicals consumed by the host. Furthermore, the gut microbiota can vary from person to person and can be easily shifted by diet. Therefore, several recent studies have reported the application of personalized nutrition to intestinal microflora. This review provides an overview of the interaction of diet with the gut microbiome and the latest evidence in understanding the inter-individual differences in dietary responsiveness according to individual baseline gut microbiota and microbiome-associated dietary intervention in diseases. The diversity of the gut microbiota and the presence of specific microorganisms can be attributed to physiological differences following dietary intervention. The difference in individual responsiveness based on the gut microbiota has the potential to become an important research approach for personalized nutrition and health management, although further well-designed large-scale studies are warranted.

• Korean Journal of Community Nutrition
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• v.21 no.1
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• pp.25-36
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• 2016

Objectives: The purpose of this study was to investigate effects of nutrition education providing school lunch by personalized daily needed food exchange units using Food Exchange System for adolescent athletes. Methods: The subjects were 60 sports high school students (educated group, 30 vs. noneducated group 30). Nutrition education was provided for 4 weeks (40 min/lesson/week). In addition, personalized school lunch was served for 4 weeks, nutrition education period. The personalized lunch were provided Food Exchange Units according to personalized daily needed energy. The lessons were '5 Major nutrients, functions and foods', 'My daily needed energy and food exchange units by Food Exchange System', 'My meal plan by food exchange units according to my daily needed energy' and 'Smart choice of healthy snacks and eating outs'. After nutrition education, we examined the differences in anthropometric characteristics, nutrition knowledge, dietary attitude and dietary intake between the educated and the non-educated group. Results: We observed improvements in lean body mass in the educated group. With regard to nutrition knowledge, there were improvements in 'Functions of vitamins', 'Functions of minerals', 'Foods of fat', 'Foods of vitamin', and 'Foods of mineral' in the educated group. In relation to dietary attitude, there were improvements in 'Taking a meal with family and friend', 'Taking a meal at ease', 'Taking a meal with kimchi and vegetables', 'Taking a meal with three kinds of side dishes', 'Priority of choosing snacks' and 'Type of snacks' in the educated group. With regard to dietary intakes according to Dietary Reference Intakes for Koreans, there were improvements in intakes levels of fiber, vitamin A, vitamin C, folate, calcium, iron and zinc. The index of nutrition quality, as indicated by nutrition adequacy ratio also improved in the educated group. Conclusions: These results showed that a nutrition education program providing education lessons and personalized school lunch by food exchange units according to daily needed energy showed positive changes in nutrition knowledge, dietary attitude and dietary intake of adolescent athletes. Nutrition education program providing personalized school lunch by Food Exchange Units may improve dietary behaviors and dietary intakes of adolescents.

• Journal of Microbiology and Biotechnology
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• v.34 no.2
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• pp.425-435
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• 2024

Schisandra chinensis extract (SCE) protects against hypocholesterolemia by inhibiting proprotein convertase subtilisin/kexin 9 (PCSK9) protein stabilization. We hypothesized that the hypocholesterolemic activity of SCE can be attributable to upregulation of the PCSK9 inhibition-associated low-density lipoprotein receptor (LDLR). Male mice were fed a low-fat diet or a Western diet (WD) containing SCE at 1% for 12 weeks. WD increased final body weight and blood LDL cholesterol levels as well as alanine transaminase and aspartate aminotransferase expression. However, SCE supplementation significantly attenuated the increase in blood markers caused by WD. SCE also attenuated WD-mediated increases in hepatic LDLR protein expression in the obese mice. In addition, SCE increased LDLR protein expression and attenuated cellular PCSK9 levels in HepG2 cells supplemented with delipidated serum (DLPS). Non-toxic concentrations of schisandrin A (SA), one of the active components of SCE, significantly increased LDLR expression and tended to decrease PCSK9 protein levels in DLPS-treated HepG2 cells. High levels of SA-mediated PCSK9 attenuation was not attributable to reduced PCSK9 gene expression, but was associated with free PCSK9 protein degradation in this cell model. Our findings show that PCSK9 secretion can be significantly reduced by SA treatment, contributing to reductions in free cholesterol levels.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.289-294
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• 2016

In recent times, as most people develop keen interest in health management, the importance of cultivating dietary habits to prevent various chronic diseases is emphasized. Subsequently, dietary management systems using a variety of mobile and web application interfaces have emerged. However, these systems are difficult to apply in real world and also do not provide personalized information reflective of the user's situation. Hence it is necessary to develop a personalized dietary management and recommendation method that considers user's body state information, food analysis and other essential statistics. In this paper, we analyze nutrition using self-organizing map (SOM) and prepare data about nutrition using clustering. We provide a substitute food recommendation method and also give feedback about the food that user wants to eat based on personalized criteria. The experiment results show that the distance between input food and recommended food of the proposed method is short compared to the recommended food results using general methods and proved that nutritional similar food is recommended.

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.113-121
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• 2019

The personalized meal service is being developed to prevent and alleviate illnesses according to the individual's health condition. However, the current meal does not provide a fully customized service to individuals and a diet that meets the consumer's information needs. The cause is the lack of information on the ingredients and the difficulty of comparative analysis between the materials. Therefore, in this study, we propose basic analysis process for basic information acquisition and database construction for food composition before providing personalized food. In this study, we investigated the content of carbohydrate, reducing sugar and protein as basic components of Grifola frondosa and investigate the content of polyphenol as a biological active ingredients. Respectively. Studies on the hypoglycemic effect of the diabetic rat model have been carried out in relation to the prevention of diseases. Based on the results of this study, it is also possible to obtain information on the basic ingredients of the food and to analyze the information on the content and activity of the biological active ingredients. Using animal models, information on disease prevention and mitigation was also available. The process introduced in this study is applied to various food materials, accumulating data, and utilizing Database, this results will be an excellent tool for providing more efficient service by providing a proper dietary composition for consumers.

• Korean Journal of Community Nutrition
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• v.18 no.6
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• pp.565-576
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• 2013

The purpose of this study was to investigate the effects of nutrition education on nutrition knowledge, dietary attitude and dietary intake of Chinese college students in Korea. The subjects were 64 Chinese college students in Korea (educated group, 32 students vs. non-educated group, 32 students). Educated group was lessoned as group and/or individual. Nutrition education program consisted of four lessons (40min/lesson), '6 major nutrients & function (group lesson)', '6 food group and sources (group lesson)', 'personalized daily needed energy and food exchange units using Food Exchange System (individual lesson)', and 'smart choice of snacks and eating-out foods (group lesson)'. We examined the differences between educated group and non-educated group in nutrition knowledge, dietary attitudes and nutrients intake. After education, there were positive improvements on nutrition knowledge: 'function and foods of 6 nutrients', on dietary attitudes: 'type of breakfast' in educated group. In the evaluation of nutrient intakes according to Dietary Reference Intakes for Korean (KDRI), there were positive improvements on intake levels of riboflavin, fiber, vitamin B6, vitamin C, folate, Ca and K in the educated group. In the index of nutrition quality (INQ), nutrition adequacy ratio (NAR) and mean nutrition adequacy ratio (MAR) were significantly increased in the educated group. In conclusion, it is possible to improve nutrition knowledge, dietary attitude and dietary intake of Chinese college students in Korea through the nutrition education focused on personalized daily needed energy and food exchange units.

• Korean journal of food and cookery science
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• v.22 no.4 s.94
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• pp.552-562
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• 2006

The environment which surrounds us such as climates, technology change rapidly. Forecasting the future of food by reviewing the subject at the moment would be meaningful, because we could understand the impact of new technology, set the new goal and create the future by speaking out on issues of our concern and by our choices. There are two points of view on our future, one is pessimistic view due to the food and the water shortage, as well as environmental contamination. Another is optimistic view mainly because of innovative technologies. Biotechnology would enable to develope the personalized food using nutrigenomics, nutrigenetics, and nutraceuticals. Nanotechnology and shelf-life extension techniques would contribute great deal to the development of the future food. Consumer's concern for the health and the wellness as well as palatability would affect the development of future food so that the involvment of food cookery scientists are more important to meet the consumer's needs and trends.

• Journal of Information Technology Services
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• v.20 no.6
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• pp.1-16
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• 2021

The health functional food market continues to grow, and according to that trend, the subdivision sales of personalized health functional foods, which have been legally prohibited, will be operated as a special regulatory pilot project. Personalized health functional food recommendations have a variety of personalized indicators to consider, and it is believed that algorithmic methods will be needed to proceed in a customized manner considering all of them. This study aims to contribute to the development of the AI-based health functional food recommendation service by studying factors that affect the use of the AI-based health functional food recommendation service. This paper analyzed the intention of use for AI-based health functional food recommendation service based on the information system success model and Technology Acceptance Model. This study considered information quality factors, service quality factor, and system quality factor as independent variables influencing perceived usefulness, perceived ease of use and trust. For empirical analysis, 406 questionnaires were used and the collected data were performed using AMOS 22.0 and SPSS 22.0. Research has shown that the accuracy, timeliness, empathy and availability have a positive effect on usefulness. Understandability and availability has been shown to have a positive effect on ease of use. The accuracy, understandability, empathy and availibility has been shown to have a positive impact on Trust. Usefulness, ease of use and trust all have been shown to have a positive influence on intention of use.