• Korean Journal of Health Education and Promotion
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• v.26 no.4
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• pp.129-143
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• 2009

Objectives: The purpose of this study is to identify prevalence and related factors of the elderly, who took health examination, with metabolic syndrome. Methods: The health examination and lifestyle survey were performed for 21,512 adults at 60 years of age or older who took health examination in H health promotion center during January-March 2009. Results: The prevalence of metabolic syndrome for the subject was 24.0%. Of the subject with metabolic syndrome, the prevalence of the diseases was obesity 60%, abdominal obesity 78.5%, hypertension 82.6%, dyslipidemia 89.7% and diabetes 51.9%. In comparison of the relationship between metabolic syndrome and other diseases, the male subject with metabolic syndrome were significantly higher in BMI, waist circumference, systolic/diastolic blood pressure, hemoglobin, AST, ALT, $\gamma$-GTP, TG, AC glucose, creatinine than normal male(p<0.001). In comparison of the relationship between metabolic syndrome and lifestyle, more drinking frequency and amount in male and more drinking frequency in female were associated with increased risk of metabolic syndrome(p<0.01). Regardless of exercise intensity, practice of exercise contributed to reduce the risk of metabolic syndrome(p<0.01). Conclusion: In conclusion, TLC program, focused on lifestyle behaviors which is strongly associated with the prevalence of metabolic syndrome, should be developed for the improvement of life quality in the elderly with metabolic syndrome.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.6
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• pp.1267-1272
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• 2009

The purpose of this study is to survey the importance of items for the physiological and pathological symptoms for estimating a health condition according to Sasang constitution to establish the SHI(Sasangin Health Index) which will reflect the concept of inherent vitality. We surveyed expert opinion with questionnaires from 20 Sasang constitution specialists. The questionnaire was composed of 57 items on physiological and pathological symptoms and specialist opinions. Each item was marked from A to E according to importance in evaluating health state in each constitution, and if the mean score of an item was over 3.0, the item was regarded as important. Important indexes among physiological symptoms were diet, digestion condition, perspiration condition, frequency of defecation, heat and cold response, and temperature of drinking water in Soeumin, pathologic perspiration and defecation condition in Soyangin, repast, perspiration condition, and the amount of drinking water in Taeeumin, and urination frequency in Taeyangin. Important indexes among pathological symptoms were sighing, indigestion, and abdominal pain in Soeumin, oral condition, chest distress, brash, and amnesia in Soyangin, eye condition, palpitation, and edema in Taeeumin, and vomiting and incapacity of the lower limbs in Taeyangin. There are different health evaluating index and priority order in it according to Sasang constitution.

• Journal of Korean Society of Water and Wastewater
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• v.34 no.1
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• pp.35-43
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• 2020

Turbidity has various effects on the water quality and ecosystem of a river. High turbidity during floods increases the operation cost of a drinking water supply system. Thus, the management of turbidity is essential for providing safe water to the public. There have been various efforts to estimate turbidity in river systems for proper management and early warning of high turbidity in the water supply process. Advanced data analysis technology using machine learning has been increasingly used in water quality management processes. Artificial neural networks(ANNs) is one of the first algorithms applied, where the overfitting of a model to observed data and vanishing gradient in the backpropagation process limit the wide application of ANNs in practice. In recent years, deep learning, which overcomes the limitations of ANNs, has been applied in water quality management. LSTM(Long-Short Term Memory) is one of novel deep learning algorithms that is widely used in the analysis of time series data. In this study, LSTM is used for the prediction of high turbidity(>30 NTU) in a river from the relationship of turbidity to discharge, which enables early warning of high turbidity in a drinking water supply system. The model showed 0.98, 0.99, 0.98 and 0.99 for precision, recall, F1-score and accuracy respectively, for the prediction of high turbidity in a river with 2 hour frequency data. The sensitivity of the model to the observation intervals of data is also compared with time periods of 2 hour, 8 hour, 1 day and 2 days. The model shows higher precision with shorter observation intervals, which underscores the importance of collecting high frequency data for better management of water resources in the future.

• Journal of The Korean Society of Integrative Medicine
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• v.6 no.4
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• pp.29-38
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• 2018

Purpose: The purpose of this study was to investigate the psychological symptoms of insomnia, impulsiveness, and memory impairment according to the drinking frequency of college students. Methods: From May 4 to May 17, 2018, a questionnaire survey was conducted for men and women enrolled in J city S university in the Department of Occupational Therapy, Architecture, Social Welfare, and Digital Content. After visiting the department to explain the purpose of the study, 400 questionnaires were distributed to those who agreed to participate in the study. The SPSS 22.0 program was used to analyze the data collected. All statistical analyses were performed at the significance level of 5 %. Results: There is a correlation between alcohol consumption and psychological symptoms, such as insomnia, impulsivity, and memory impairment. As a result of analyzing all departments, insomnia, impulsivity, and memory impairment were the highest in the addiction level. In post-analysis of psychological symptoms, insomnia and impulsiveness had no significant difference, but there was a significant difference in memory impairment (p=.04). Conclusion: Our hope is that this study will help activate programs like preventative education and counseling on alcohol-related psychological symptoms for college students.

• Journal of the Korean Society of School Health
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• v.31 no.3
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• pp.186-195
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• 2018

Purpose: This study was performed to investigate the dietary behaviors and stress-related factors among male and female college students. Methods: A total of 405 college students (male-195, female-210) were recruited, of whom a questionnaire-based survey was conducted. The study investigated the general characteristics, health-related factors, dietary behaviors, and stress-related factors of the respondents. Results: The body mass index was significantly higher in males. The rates of underweight and overweight were significantly different between male and female respondents. The scores for workout frequency, health concerns and health condition were significantly higher in males, while the score for watching TV & playing computer games was significantly higher in females. The scores for meal regularity, frequency of breakfast consumption, and smoking were significantly higher in males. Eating problems showed a significant difference between males and females. The biggest source of stress was social factors, followed by college study and individual factors and the most experienced stress-induced symptom was anxiety, followed by headache and stomachache. The most popular way to overcome stress was taking a rest, followed by drinking & smoking and outdoor activity. The most preferred food under stressful conditions were alcohol or beverages, followed by hot & spicy food and sweet food, which showed a significant difference between males and females. Conclusion: These results indicate that stress affects dietary behaviors, drinking, smoking, and health status. Stress not only changes dietary behaviors, but is also related to health status. Therefore, it is necessary to develop appropriate programs for emotional stability and stress relief targeting college students which provide continuous nutrition education focused on desirable dietary behaviors and nutritional aspects.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.1
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• pp.83-91
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• 2021

The increased turbidity in rivers during flood events has various effects on water environmental management, including drinking water supply systems. Thus, prediction of turbid water is essential for water environmental management. Recently, various advanced machine learning algorithms have been increasingly used in water environmental management. Ensemble machine learning algorithms such as random forest (RF) and gradient boosting decision tree (GBDT) are some of the most popular machine learning algorithms used for water environmental management, along with deep learning algorithms such as recurrent neural networks. In this study GBDT, an ensemble machine learning algorithm, and gated recurrent unit (GRU), a recurrent neural networks algorithm, are used for model development to predict turbidity in a river. The observation frequencies of input data used for the model were 2, 4, 8, 24, 48, 120 and 168 h. The root-mean-square error-observations standard deviation ratio (RSR) of GRU and GBDT ranges between 0.182~0.766 and 0.400~0.683, respectively. Both models show similar prediction accuracy with RSR of 0.682 for GRU and 0.683 for GBDT. The GRU shows better prediction accuracy when the observation frequency is relatively short (i.e., 2, 4, and 8 h) where GBDT shows better prediction accuracy when the observation frequency is relatively long (i.e. 48, 120, 160 h). The results suggest that the characteristics of input data should be considered to develop an appropriate model to predict turbidity.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.14 no.4
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• pp.524-535
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• 2007

Purpose: The purpose was to identify the risk of drug use by adolescents. Method: The participants were 933 male students in the first grade of a high school in D city. The data were collected from Aug. 5th to Oct. 30th, 2004. The instrument was the High Risk Group Adolescent Drug User Screening Test(HIRIGADUST) developed by the Korea Adolescent Society(1996). The data were analyzed using SPSS. Results: For substance use, 64.5% of the students answered that they had drunk, 40.3% that they had smoked, and 2.0% that they had tried drug use. For scores on HIRIGADUST regarding socio-demographic characteristics, there were significant differences depending on school type, personality, academic performance, economic status, and ability to talk with parents. For scores on HIRIGADUST regarding drug using-related characteristics, there were significant differences depending on drinking experience, frequency of drinking, amount of alcohol intake, smoking experience and number of cigarettes smoked. Of the students 27.2% students were in the high risk group. Conclusion: In schools, systematic and intensive assessment of drug use should be done, and if needed, a service system connected to clinics specializing in drug addiction should be established. Prevention education should be carried out continuously.

• Journal of the Korean Dietetic Association
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• v.11 no.1
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• pp.1-10
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• 2005

This study was carried to investigate the effects of alcohol intake on the dietary behaviors and nutrient intakes of students in university and was observed characteristics of alcohol drinking, smoking, dietary behaviors, and nutrient intakes of students. The mean of alcohol consumption was 25.7$\pm$21.7g/day and 47.5$\pm$25.8g/day, most high of high alcohol group in the male student than other groups. Smoking were high by increasing of alcohol intake. Most students had dietary problems as skipping meals, eating snack after dinner, high frequency of eating fast and instant food, and eating meals at watching TV or video. The dietary behavior problems in the high alcohol groups showed higher in the female students than the male students. Nutritional knowledge scores was no significantly different by sex and alcohol intake. The intakes of calorie, protein, phosphorous, iron, and niacin in the male students was significantly higher than those of female students. Except for calcium, vitamin $B_2$ and vitamin C, nutrients were satisfied to the level of Recommended Dietary Allowances(RDA). Nutrient intakes was not affected by alcohol intake. But intakes of calorie, protein, phosphorous, and iron were affected by sex and vitamin C intake was affected by sex and alcohol intake.

• Toxicological Research
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• v.29 no.3
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• pp.211-215
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• 2013

The trace toxic metal copper was assayed using mercury immobilized on a carbon nanotube electrode (MCW), with a graphite counter and a reference electrode. In this study, a macro-scale convection motor was interfaced with a MCW three-electrode system, in which a handmade MCW was optimized using cyclic- and square-wave stripping voltammetry. An analytical electrolyte for tap water was used instead of an expensive acid or base ionic solution. Under these conditions, optimum parameters were 0.09 V amplitude, 40 Hz frequency, 0.01 V incremental potential, and a 60-s accumulation time. A diagnostic working curve was obtained from 50.0 to 350 ${\mu}g/L$. At a constant Cu(II) concentration of 10.0 ${\mu}g/L$, the statistical relative standard deviation was 1.78% (RSD, n = 15), the analytical accumulation time was only 60 s, and the analytical detection limit approached 4.6 ${\mu}g/L$ (signal/noise = 3). The results were applied to non-treated drinking water. The content of the analyzed copper using 9.0 and 4.0 ${\mu}g/L$ standards were 8.68 ${\mu}g/L$ and 3.96 ${\mu}g/L$; statistical values $R^2$ = 0.9987 and $R^2$ = 0.9534, respectively. This method is applicable to biological diagnostics or food surveys.

• Journal of Korean Society of Water and Wastewater
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• v.19 no.1
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• pp.78-91
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• 2005

Performance limiting factors (PLFs) derived from 161 drinking water treatment plants (DWTPs), assessed by International Technical Diagnosis & Assistance Center, were analyzed and evaluated in more detail in this study. In order to conduct study, 161 DWTPs were divided into five categories depending on their capacity, and into twelve groups according to processes and facilities. From the results of analysis, PLFs and their distribution ratio derived from each category were significantly different. Filtration was the most important performance limiting process in all DWTPs of five categories, and the PLFs in filtration were backwashing velocity, media configuration, bed depth, and formation of mud-ball. The PLFs in coagulation-flocculation process were found out to be coagulant dosage, mixing speed, mechanical problems, and others in the order of frequency of occurrence. Also, insufficient disinfection ability that is resulted from insufficient hydraulic detention time and improper chlorine dose and injection point, is the most significant among PLFs in a clear well. In the case of sedimentation, inappropriate baffle structure and excessive upward velocity were PLFs. In addition, the results showed that high turbid water and low alkalinity in a rainy season, ferric and manganese ions, and ammonia nitrogen have been contributed significantly on the performance of DWTPs.