• Journal of the Korean Society of Food Science and Nutrition
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• v.30 no.1
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• pp.168-174
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• 2001

This study was conducted to investigate correlation between soybean and their products consumption and risk factors for atherosclerosis in the healthyKorean adults. Health behaviors such as smoking, exercise, alcohol consumption and dietary patterns and nutrient intakes of 193 healthy adult subjects aged from 26 to 69 were assessed by using interview and semiquantitative food frequency questionnaire. The BMI, blood pressure and biochemical parameters of blood were examined as well as preferences for taste and family history of disease. Data were expressed as quartile according to soybean and their products consumption. The average daily soybean and their product consumption for 1st, 2nd, 3rd, and 4th percentile group were 36, 78, 112, and 182g, respectively. The more consumption of soybean and their products, the more intake of energy, protein, lipid, fiber, Ca, cholesterol as well as frequency of exercise, smoking and drinking. Serum TG, total cholesterol and LDL-cholesterol and AI as risk factors of atherosclerosis were positively correlated with smoking and drinking (p<0.05). Especially, serum TG was positively correlated with hypertension and BMI (p<0.01). But, no correlation between exercise, salty taste, meat preference, soybean products consumption and atherosclerosis risk factors was found, which means that life styles such as smoking and drinking rather than dietary habits might influence atherosclerosis in healthy adults. In conclusion, present soy products consumption should be increased by way of developing new generation soy products in order to exert anti-atherosclerotic effect by soybean in human.

• Journal of IKEEE
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• v.23 no.4
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• pp.1373-1380
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• 2019

In order to increase energy efficiency, developments of the advanced metering infrastructure (AMI) in the smart grid technology have recently been actively conducted. An essential part of AMI is analyzing power consumption and forecasting consumption patterns. In this paper, we analyze the power consumption and summarized the data errors. Monthly power consumption patterns are also analyzed using the k-means clustering algorithm. Forecasting the consumption pattern by each household is difficult. Therefore, we first classify the data into 100 clusters and then predict the average of the next day as the daily average of the clusters based on the deep neural network. Using practically collected AMI data, we analyzed the data errors and could successfully conducted power forecasting based on a clustering technique.

• Korean Journal of Community Nutrition
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• v.10 no.4
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• pp.484-492
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• 2005

The purposes of the study were to analyze nutrients of the menus served and to evaluate students' nutrient consumption at school food services. Three middle schools (boys, girls, and co-ed schools) were located in Seoul and Kyunggi Province. A weighed plate method was employed to measure plate wastes and consumption of the menus served. Data was collected for 3 consecutive days at each school. Nutrient analyses for the served and consumed menus were performed using CAN-PRO. On average the students consumed $67\%$ of the menus they were served. By menu category, the students consumed more than $90\%$ of the rice and one-dish foods they were served. Kimchis ($54\%$) and soups/stews ($55\%$) were the menu categories with the lowest consumption rates. The menus served at the boys and coed schools did not meet 1/3 of the recommended daily allowances (RDA) for calcium, iron, and vitamin $B_2$. Due to the plate wastes, the actual consumption of the boys school students did not meet the 1/3 RDA for calories, calcium, iron, vitamin A, vitamin $B_1$ vitamin $B_2$ and niacin. The menus served at the girls school exceeded the 1/3 RDA for all nutrients, but the actual consumption did not meet the 1/3 RDA for calcium, iron, and vitamin $B_2$. During the 3-day periods, the served and consumed menus provided $27\%$ and $24\%$ of energy from fat, which exceeded the recommended proportion of $20\%$. To improve nutrition management at school food services, dietitians should understand factors that influence students' consumption and implement nutrition education programs that emphasize balanced diets.

• Journal of Korean Society of Water and Wastewater
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• v.36 no.3
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• pp.149-165
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• 2022

The water consumption data of individual consumers must be analyzed and forecast to establish an effective water demand management plan. A k-mean cluster model that can monitor water use characteristics based on hourly water consumption data measured using automated meter reading devices and demographic factors is developed in this study. In addition, the quantification model that can estimate the daily water consumption is developed. K-mean cluster analysis based on the four clusters shows that the average silhouette coefficient is 0.63, also the silhouette coefficients of each cluster exceed 0.60, thereby verifying the high reliability of the cluster analysis. Furthermore, the clusters are clearly classified based on water usage and water usage patterns. The correlation coefficients of four quantification models for estimating water consumption exceed 0.74, confirming that the models can accurately simulate the investigated demographic data. The statistical significance of the models is considered reasonable, hence, they are applicable to the actual field. Because the use of automated smart water meters has become increasingly popular in recent year, water consumption has been metered remotely in many areas. The proposed methodology and the results obtained in this study are expected to facilitate improvements in the usability of smart water meters in the future.

• Nutrition Research and Practice
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• v.1 no.2
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• pp.131-142
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• 2007

The purpose of this study was to investigate differences in the body composition, dietary habits, daily intake of nutrients and clinical blood indices in female college students by body mass index of normal weight, overweight and obese. The subjects of this research were 141 respondents of a survey carried out on students, and subjects were given 60 minutes to answer questionnaires, by recording their own answers. The average heights and weights of subjects by BMI were 162.17 cm, 52.73 kg in normal weight group, 162.35 cm, 62.22 kg in overweight group and 161.72 cm, 69.82 kg in obesity group, respectively. As for the survey daily of meals, starving breakfast and kind of snacks of subjects were significantly different among the groups by BMI. In animal protein food intakes, meat intake was the highest 'every day' food consumed by subjects, and there was a significant difference in distribution of BMI among subjects. Fruits, and greenish and yellow vegetables intakes were the highest 'every day' foods indicated by the normal weight group. Consumption of carbonated beverages and juices showed a significant difference among groups by BMI. The average of total-cholesterol was the overweight group was the higher value. There was a significant difference in diastolic blood pressure and systolic blood pressure among the groups by BMI. Average daily calories intake levels were insufficient and the intake ratio of carbohydrates, protein, and fat was the normal weight group 68 : 17 : 15, the overweight group 64 : 18 : 18 and the obese group 73 : 14 : 13. Results of the daily vitamin intake analyses displayed riboflavin, niacin, vitamin C, and folic acid levels lower than the RI levels. Fe intake was the normal weight group 81%, overweight group 76%, obese group 59% of the RI level. Therefore, it is necessary for college students to establish regular meals, good quality snacks and consuming more vitamin and mineral nutritions for optimal health conditions.

• Journal of the Korean Society of School Health
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• v.33 no.1
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• pp.1-9
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• 2020

Purpose: sexual permissiveness, sexual behaviors and the consumption of mass media in female high school students. Methods: 306 students, from three different girls' high schools in Seoul, who understood the purpose of the study, participated as subjects in the research. The research tools were the mass-media consumption scale, the sexual attitudes survey, the sexual permissiveness survey, and the sexual behaviors scale. The data were analyzed using descriptive analysis, t-test, ANOVA with SPSS/WIN. 18.0 program. Results: The subjects' daily mass media consumption was 143.7 minutes of TV watching on weekdays, while 253.9 minutes on weekends, 88.5 minutes of Internet surfing, 57.8 minutes of listening to pop music. Watching TV music programs was 68.3 minutes a week. Watching TV 'alone' was 30.7% and Internet surfing in one's 'own room' was the highest at 39.9%. The average score of sexual attitudes, sexual permissiveness, and sexual behaviors was 25.7/55, 35.4/64 and 0.7/10, respectively. Sexual attitudes and sexual permissiveness varied according to how much time they spent surfing the Internet, with whom they watched TV, and how much time they spent listening to popular music; and sexual behavior differed according to the time spent on the Internet. Conclusion: Educational programs need to be developed to help young people control their media consumption behaviors. In addition, political attention and a proper system are needed to promote a healthier and sounder pop culture through a public review system.

• Health Policy and Management
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• v.30 no.3
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• pp.311-325
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• 2020

Background: Health statistics of pharmaceutical use and expenditure are essential to make and implement evidence-based pharmaceutical policy. This study aims to demonstrate the methods and results of pharmaceutical consumption and sales in 2018 according to the sources and methods given by the Organization for Economic Cooperation and Development (OECD). Methods: The medication list contains 39,346 medicines both reimbursed and non-reimbursed by the National Health Insurance in 2018. We used the therapeutic categories based on Anatomic Therapeutic Chemical Classification of World Health Organization. This study analyzed National Health Insurance claims data and supply data generated from wholesalers to health care facilities. The indicators are defined daily dose (DDD), per 1,000 inhabitants per day and US$ per capita. Results: In South Korea, the number of medications to which DDD were assigned was 18,055 and it was 45.9% of the total number of medications on the list. The consumption in anti-infective for systemic use (J) and musculo-skeletal system (M) was higher than the mean consumption among the OECD countries. The pharmaceutical sales per person in Korea was also higher than the mean sales per person across the OECD countries. Conclusion: We sought to explain the methods to produce pharmaceutical consumption and sales statistics which we had submitted annually to OECD. Considering the characteristics of pharmaceutical statistics, a direct comparison should be approached with caution. Since the growth in pharmaceutical spending has greatly increased over the past decade, we need to monitor pharmaceutical consumption and expenditure consistently.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.3
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• pp.83-90
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• 2011

The purpose of this study is to develop a series of trend analysis models for industrial water consumption and to propose a blueprint for the integration of the developed models with GIS. For the consumption data acquisition, a real-time sensing technique was adopted. Data were transformed from the field equipments to the management server in every 5 minutes. The data acquired were substituted to a polynomial formula selected. As a result, a series of models were developed for the consumption of each day. A series of validation processes were applied to the developed models and the models were finalized. Then the finalized models were transformed to the average models representing a day's average consumption or an average daily consumption of each month. Demand pattern analyses were fulfilled through the visualization of the finally derived models. It has founded out that the demand patterns show great consistency and, therefore, it is concluded that high probability of demand forecasting for a day or for a season is available. Also proposed is the integration with GIS as an IT tool by which the developed forecasting models are utilized.

• Nutrition Research and Practice
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• v.16 no.4
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• pp.476-488
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• 2022

BACKGROUND/OBJECTIVES: Dietary sugars intake worldwide is stable or decreasing, but overall sugars intake remains above the recommended level. Some studies suggest that ultra-processed foods (UPFs) drive excessive sugars intake. However, UPF consumption in Korea and its association with sugars intake have not yet been studied. This study aimed to estimate the contribution of UPF consumption to total sugars intake and to investigate the association between UPF consumption and total sugars intake in Koreans. SUBJECTS/METHODS: Data from the Korea National Health and Nutrition Examination Survey 2016-2018 were used, and included data on 21,075 participants aged 1+ years completed a 24-h recall. Food items reported in the 24-h recall were classified according to the NOVA system as UPFs, processed foods, processed culinary ingredients, or unprocessed or minimally processed foods. RESULTS: The average daily energy intake was 1,996 kcal, and UPFs accounted for 26.2% of the total energy intake (% TE). The average total sugars intake was 63.1 g (13.0% TE), and 44.9% of total sugars intake came from UPFs. Among the entire population, 15.8% exceeded the recommended limit for total sugars within 20% TE, and excessive total sugars intake was more prevalent among females (19.5%) and children (21.1%). The prevalence of excessive total sugars intake showed a significantly increasing tendency across the quartiles of UPF energy contribution, ranging from 11.9% in the lowest quartile to 23.2% in the highest quartile. Even after adjustment for sociodemographic variables, UPF consumption was positively associated with the prevalence of excessive total sugars intake (P for trend < 0.001). This association was similar in subgroup analyses by sex and age. CONCLUSIONS: This study suggests that UPF consumption may drive excessive intake of total sugars in the Korean diet. Our findings conclusively establish that restricting UPF consumption may be an efficient way to reduce sugars intake in Korean population.

• Journal of the Korean Society of Food Culture
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• v.39 no.3
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• pp.127-137
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• 2024

This study examined dietary habits and mental health according to generalized anxiety disorders (GAD) and caffeine consumption in adolescents. The data were collected from the 18^th Korea Youth Risk Behavior Survey with a sample of 51,850 students. The proportion of students in the GAD High-Risk·Caffeine consumption group (GHRCC) who consumed sweet drinks (p< .001), fast food (p< .001), and midnight meals (p< .001) every day was 15.6, 21.9, and 22.4%, respectively. These proportions were higher than those of students who consumed sweet drinks, fast food, and midnight meals 1-2 times a week, 3-4 times a week, or not at all. In addition, the proportions of GHRCC among students who responded "yes" to experiencing sadness and despair (p< .001), suicidal thoughts (p< .001), suicide plans (p< .001), suicide attempts (p< .001), and loneliness (p< .001) were higher than students who responded "no." The GAD High-Risk group (GHR) had higher odds with the consumption of midnight meals (OR: 2.51, 95% CI: 2.10-2.99), caffeine consumption (OR: 2.46, 95% CI: 2.21-2.74), and fast food (OR: 2.11, 95% CI: 1.75-2.55) than GAD Low-Risk group. Based on the above results, the risk of GHR was higher among students who consumed midnight meals, caffeine, and fast food daily than those who did not.