• Culinary science and hospitality research
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• v.16 no.2
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• pp.351-366
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• 2010

This study was conducted to develop a cookbook for children as a nutritional education material considering the dietary behaviors of elementary school students. Dietary behaviors were surveyed in 5th and 6th grade students(male 45, female 45) in Gangwon-do. 48.9% of the children ate breakfast every day, and 67.8% ate Korean food such as cooked rice, soup, and side dishes for breakfast. The reason for skipping the breakfast was 'have no time'. 42.2% of the children answered 'cook the foods that they want to eat' about the question how to eat when they are alone at home. 52.2% of the children ate snacks 1~2 times a day, and such snacks included fruits(46.6%), ice cream(22.2%), bread or cookies(21.1%), and instant foods(11.1%). Children preferred meats to vegetables and preferred Bokeum(27.8%), Twigim(25.6%), Guk Jjigae(21.1%) to other cooking methods. 96.7% of the children have cooked at least 1 time. 64.4% of the children have cooked because they 'just want to cook.' The kinds of the foods that they have cooked were Ramen(68.8%), fried eggs(53.3%), Bokeumbap(37.8%), and sandwiches(18.9%). Considering these results, cookbooks were categorized by 'cook by myself', 'cook snacks speedily', and 'show off my cooking skills' with 5~6 dishes in each. They have pictures of a cooking process about all dishes and provide information on the contents of protein, fat, calcium, sodium as well as energy, the method to plan balanced diet by using the food pyramid and the portion size for children. This cookbook gives basic knowledge about cooking such as measuring, sanitation, and the separation of food garbage. I expect that the cookbook can be used as a nutritional education material to improve the dietary behaviors of children.

• Journal of Nutrition and Health
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• v.43 no.5
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• pp.524-532
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• 2010

The Na, component of salt, can increase the risk of high blood pressure and hypertension. Especially, children are exposed to an increased risk of high sodium intake, because they often consume Na-rich processed foods and commercially prepared foods in the street. However, the database for the sodium and chloride content for these children's favorite foods is insufficient. In this study, the Na and Cl contents in 89 children's favorite foods were analyzed by using Instrumental Neutron Activation Analysis (INAA) method. The analyzed food items were presented after being classified into 33 kinds of food groups. The Na contents in 100 g children's favorite foods ranged from 0.3 mg to 35.1mg in fruits, 28.9mg to 82.5mg in milks, 127.2 mg to 602.2 mg in breads, cakes, sandwiches, and rice cakes, 2.5 mg to 1169.9 mg in candies, cookies and ice creams, 226.9 mg to 693.7 mg in commercially prepared street foods, and 103.4 mg to 875.8 mg in fast foods of westernized restaurant. Among children's favorite food groups, 100 g fried chicken, hotdog, burgers, and donuts contained an average Na of 536 mg, 553 mg, 794 mg, and 562.2 mg, respectively, so they are classified as 'high Na foods'. In contrast, 100 g fruits and dairy products contained Na an average 4.9 mg and 43.4 mg, respectively, being classified as 'low Na foods'. One serving of ramen, mandu noodle, and burger pizza can supply over 667mg Na, which is one third of the KDRI targeted intake. Likewise, the Cl contents in children's favorite foods were diverse according to food groups. The Cl contents in the analyzed foods differed from the 1.5 times of Na content, which is assumed in general. This study showed that the Na and Cl contents in children's favorite foods are very diverse. Conclusively, a strategy to reduce Na contents in the fast foods such as noodles and westernized restaurant foods is necessary for children health.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.1
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• pp.52-61
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• 2009

The purpose of this study was to investigate the extent of excessive sugar, sodium, cholesterol, and saturated fat consumptions by elementary school students through processed food's intake. A survey study was conducted with 384 fourth and sixth grade students and their mothers from two schools in Seoul and Gyeonggi province. The data were analyzed for the frequency analysis, chi-square test and Pearson correlation using the SPSS/Windows (ver. 15.0). Results showed that students consumed high amounts of sugars through processed milk and carbonated beverages, and yogurt. Additionally, they had high sodium and saturated fat levels in their diet through Ramen. There was significant correlation (p<0.01) between mothers' purchasing and students' intake of processed food. Overall, both students and mothers had some knowledge on the impact of sodium on human health. About 50 percent of the respondents did not have accurate information about cholesterol, saturated fat, and trans fat. More than 50 percent of students and mothers had no nutritional education on the risk of excessive intake of sugar, sodium, cholesterol, saturated fat, and trans fat. Top twenty percent of the students had 39.7 g of sugar, 940.1 mg of sodium, 17.8 mg of cholesterol, and 11.2 g of saturated fat through processed foods per day on the average. These results suggest that execution of nutritional education about processed food is needed for high risk group of elementary school students and their mothers. Moreover, government must enact the regulation and policy for the food industry to reduce the risky nutrients from children's favorite processed food.

• Journal of Nutrition and Health
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• v.44 no.5
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• pp.416-427
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• 2011

This study investigated the association among parental socioeconomic level, overweight, and eating habits with diet quality in Korean sixth grade school children. A 3-day dietary survey was conducted, and a questionnaire and anthropometric data were collected from the Korean child obesity cohort (320 boys and 345 girls). The children were classified into two groups (low or high level) based on monthly household income and paternal and maternal education status. Lower maternal education status was associated with a higher risk for overweight in girls (odd ratio, 1.91; 95% confidence interval 1.07-3.44), whereas belonging to a higher socioeconomic group in terms of parental income or parental education level resulted in the consumption of significantly more fruit. Boys did not show significant differences in the intake of most nutrients or diet quality regardless of socioeconomic status. However, girls in the lower socioeconomic group had a lower food habit score (higher frequency of breakfast skipping and ramen noodle consumption), diet quality, and intake of nutrients (carbohydrate, vitamin C, potassium, and fiber) than those in the higher socioeconomic group. Therefore future nutrition policies and interventions should support parents and children with lower socioeconomic status to develop health-related behaviors that may prevent childhood overweight.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.9
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• pp.1388-1397
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• 2005

This study has been carried out to obtain information regarding to the food habits including health-related behaviors, the nutrition knowledge and the satisfaction on the dormitory food service. The subjects of this study were 758 college students (580 male and 178 female) residing in the dormitory in Ulsan. The data were obtained through questionnaire and interview, and were analyzed using the SPSS package program. the results of this study are as follows: The average age of the subjects was $20.7\pm2.3$ years old. The average height and weight of male were $175.2\pm5.0\;cm\;and\;69.4\pm9.6\;kg$, respectively. Those of female were $162.6\pm4.1\;cm\;and\;51.8\pm5.9\;kg$, respectively. The BMI value of male was $22.6\pm0.1$ which ranged within normal level, but that of female was $19.6\pm0.2$ which ranged underweight level. In the case of food habits, $26.0\%$ of total subjects always skipped a meal (especially breakfast). The main reasons for skipping meals were no time to eat, no appetite, and weight control. Most of subjects ($69.3\%$) have usually eaten snack after dinner, their most favorite food was noodle (ramen), and the next was pizza. With regard to the health care, there was a significant difference between male and female respect to smoking (p<0.001), drinking (p<0.01) and exercise level (p< 0.001). The mean food habit score of the subjects was $59.9\pm11.1$. Male students had a higher food habit score than female students (male: $60.6\pm10.9$, female: $57.7\pm11.4$), and the group residing longer period had a higher food habit score than the one residing shorter period. Average nutrition knowledge score of subjects was $7.8\pm1.8$. Gender, residing periods, monthly pocket money influenced on the nutrition knowledge score. Female had a higher score than that of male (P<0.001), and the group residing longer period had a higher score than the one residing shorter period (p<0.01), and the group who had more monthly pocket money had a higher score than the one who had less. No significant correlation was found between food habit score and nutrition knowledge score. In the case of dormitory food service, the total subjects showed high satisfaction scores for the sanitation and the atmosphere, while low scores for the menu and the quality of food service. This study may provide basic information on the eating habits and health-related behaviors of college students in dormitory. However, further studies and nutrition counseling are needed to improve food habits and nutrition knowledge.

• Journal of Nutrition and Health
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• v.56 no.1
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• pp.97-111
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• 2023

Purpose: Childhood obesity has become a social problem due to the social distancing necessitated by the coronavirus disease 2019 pandemic. This study aimed to identify the dietary problems of obese children through various dietary assessment methods and to confirm the usefulness of each method. Methods: The subjects were 88 students in the 4th to 6th grade of elementary school who participated in the nutrition camp organised by the Busan Metropolitan Office of Education, 2020. To evaluate dietary problems and assess diet quality, 24-hour meal records, monthly food intake frequency, and Dietary Screening Test (DST) data were analyzed. Results: Of the subjects, 15.7%, 30.3%, and 53.9% were normal weight, overweight, and obese, respectively. The average age was 11.77 ± 0.77 years and the average body mass index was 23.96 ± 3.01 kg/m². It was observed from the 24-hour meal record method that the overweight and obese subject groups consumed fewer green vegetables (p < 0.001) and white vegetables (p < 0.01) than the normal weight group. In the monthly food intake frequency method, the consumption of ramen (p < 0.01), snacks (p < 0.05), and sausages (p < 0.05) were high in the obese group, and that of anchovies, broccoli, and sweet pumpkin was high in the normal group (p < 0.05). The comparative data from the DST revealed that the overweight and obese groups had less vegetable intake than the normal weight group (p < 0.01) and had higher intakes of dairy products, fast food, and sweet snacks (p < 0.05). Conclusion: The usefulness of each method in the dietary evaluation of obese children was confirmed. To address the problem of obesity, it is necessary to evaluate the dietary problem and approach it with a customized solution tailor-made for the individual subject.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.89-105
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• 2014

After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.