• Nutritional Sciences
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• v.7 no.4
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• pp.223-234
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• 2004

The aim of this study was to investigate intake of health foods and supplements and its associated factors in middle and old-aged adults in order to contribute to health promotion of Korean population by providing a guide for proper use of health foods and supplements. About 69% of the subjects reported that they were currently taking health foods and supplements or had experiences of having them in the past, whereas 31.2 % reported they had never taken them. The most commonly used type of health foods and supplements was vitamin C as reported by 41.8% followed by others such as lactobacillus products, multi-vitamins, tonic medicine and cardiotonic drug, artificially processed Ginseng foods, vitamin B complex, enzyme supplement, calcium, aloe, apricot extract products, chitosan products, loyal honey, squalene, refined fish oil and iron products. The major reason for taking health foods and supplements was 'to protect the weak constitution' with 155 (42.1%) responses, and the motive for the intake was the suggestion from family-relatives with 235 (63.9%) responses, and the place of purchase was pharmacy with 140 (38.0%) responses, the average monthly expense was 20,000-40,000 won with 140 (26.2%) responses, and effects after the intake was 'so and so' with 180 (33.6%) responses as the highest. More health foods and supplements were consumed as age and education were statistically significantly increased (p<0.05). For health and lifestyle and the intake of health foods and supplements, perceived health status, the presence of illness, and the presence of health management were statistically significant (p<0.05). Male subjects than female subjects and the 30s than the 405 and 50s were appeared to have poorer dietary behaviors (p<0.05). For the health locus of control and the intake of health foods and supplements, the health locus of control score was 22.82 for consumers and 22.79 for non-consumers, showing no significant difference. Logistic regression analysis was performed to find out major factors that affect the intake of health foods and supplements, in which gender, education, smoking, perceived health status, the presence of illness, and health management were significant to the intake of health foods and supplements. It is shown that subjects with perception and attitude of 'health foods and supplements are useful in health maintenance and disease prevention' and 'the information and variety for health foods and supplements are great' have higher probability of taking health foods and supplements.

• Herbal Formula Science
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• v.28 no.2
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• pp.157-167
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• 2020

Objectives : The purpose of this clinical study was to investigate the efficacy and safety of Hwangryunhaedok-tang on the gastritis treatment. Methods : A total of 20 subjects who visited Pusan National University Hospital from April 2nd, 2019 to September 2nd, 2019 were included. In this study, we evaluated the individual symptoms through questionnaires, laboratory test, BIA (Bioelectrical Impedance Analysis), and adverse reaction according to medication. Statistical analysis was performed with paired t-test and Wilcoxon Signed Rank test. Statistical significance was achieved if the probability was less than 5% (p < 0.05). Results : After medications, the total score of individual symptoms, primary outcome, was significantly decreased. In particular, individual symptoms such as upper abdominal pain, bloating, heartburn and trim showed significant improvement. However, no statistically significant differences were found in nausea/vomiting and anorexia. In additions, the laboratory test showed a statistically significant decrease in total cholesterol, but no statistically significant differences in results of BIA. In the safety evaluation, adverse reactions were not reported. Conclusions : Considering this results, we have confirmed the possibility of Hwangryunhaedok-tang to the gastritis treatment.

• Journal of Korean Society of Forest Science
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• v.108 no.4
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• pp.513-521
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• 2019

With rapid climate change and increasing global warming, the distribution of evergreen broad-leaved trees (EBLTs) is gradually expanding to the inland regions of Korea. The aim of the present study was to analyze the survival rate of 148 EBLT plantations measuring 180 ha and to determine the optimal plantation size that would help in coping with climate change in the warm, temperate climate zone of the Korean peninsula. For enhancing the reliability of our estimated survival model, we selected a set of 11 control variables that may have also influenced the survival rates of the EBLTs in the 148 plantations. The results of partial correlation analysis showed that the survival rate of 67.0±26.9 of the EBLTs in the initial plantation year was primarily correlated with plantation type by the crown closure of the upper story of the forest, wind exposure, and precipitation. For predicting the probability of survival by quantification theory, 148 plots were surveyed and analyzed with 11 environmental site factors. Survival rate was in the order of plantation type by the crown closure of upper story of the forest, wind exposure, total cumulative precipitation for two weeks prior to planting, and slope stiffness in the descending order of score range in the estimated survival model for the EBLTs with the fact that survival rate increased with shade rate of upper story to some extent.

• The Korean Journal of Community Living Science
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• v.16 no.2
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• pp.39-50
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• 2005

For the life quality improvement of rural elderly family placed in risk of frail, this study was investigated. Health habit, food habit, and dietary management were analyzed between elderly and middle aged family The subjects 1870 collected in 9 provinces 88 cities or guns by sampling with probability proportional to size(PPS). Questionnaire method was used. Survey was conducted by trained interviewers. Statistical analyses were performed using SAS(version 8.1). Chi-square tests and General Linear Models were used. The elderly families' characters were odd pair$(42.0\%)$, with patients$(17.6\%)$ and health examination per 1 or 2 years$(44.0\%)$. The elderly families' health habit: high of no-drink$(55.2\%)$ and low of smoke$(31.3\%)$ situation was better than those of middle aged families'. The states of diets of elderly family: having breakfast$(94.1\%)$ but 1-2 kinds$(17.7\%)$ or 3-4 kinds$(59.4\%)$ of side dishes allowed to guess lower status of food intake balance. Nutritional supplements$(27.5\%)$with tablets of vitamins$(63.5\%)$ were the most frequent states in elderly family. The aspects of dietary habit of elderly family: no instant foods$(72.6\%)$, no snack$(3.08\%)$ and no dine-out$(67.7\%)$ were significantly different with those of middle aged family. Dietary habit score(8.28/12 points) of elderly family was not significantly different with 8.22/12 points of middle aged family. Food purchase place of elderly family was mainly at traditional market$(43.6\%)$, but it was significantly different with super-market$(47.6\%)$ of middle aged family. In elderly family, traditional dish preparation was seldom$(49.8\%)$ except winter kimchi$(91.5\%)$, but significantly higher rate of in middle aged families' traditional dish preparation and winter kimchi$(94.5\%)$. From these results, more of snack, traditional dishes and dine-out were needed to improve quality of life for rural elderly.

• Progress in Medical Physics
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• v.15 no.4
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• pp.215-219
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• 2004

Due to their excellence for the high-energy therapy range of photon beams, researchers show increasing interest in applying MOSFET dosimeters to low- and medium-energy applications. In this energy range, however, MOSFET dosimeter is complicated by the fact that the interaction probability of photons shows significant dependence on the atomic number, Z, due to photoelectric effect. The objective of this study is to develop a very detailed 3-dimensional Monte Carlo simulation model of a MOSFET dosimeter for radiological characterizations and calibrations. The sensitive volume of the High-Sensitivity MOSFET dosimeter is very thin (1 ${\mu}{\textrm}{m}$) and the standard MCNP tallies do not accurately determine absorbed dose to the sensitive volume. Therefore, we need to score the energy deposition directly from electrons. The developed model was then used to study various radiological characteristics of the MOSFET dosimeter. the energy dependence was quantified for the energy range 15 keV to 6 MeV; finding maximum dependence of 6.6 at about 40 keV. A commercial computer code, Sabrina, was used to read the particle track information from an MCNP simulation and count the tracks of simulated electrons. The MOSFET dosimeter estimated the calibration factor by 1.16 when the dosimeter was at 15 cm depth in tissue phantom for 662 keV incident photons. Our results showed that the MOSFET dosimeter estimated by 1.11 for 1.25 MeV photons for the same condition.

• Journal of Veterinary Clinics
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• v.33 no.2
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• pp.87-92
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• 2016

This field study investigated the effects of dystocia on the postpartum complications, milk production, and reproductive performance in Holstein dairy cows. Calving difficulty was scored on a rank scale of 1 to 5. Cows with a calving score of three or higher were judged to have dystocia. The cows (n = 565) were categorized based on the presence (n = 61) or absence (n = 504, control) of dystocia. The incidence of retained placenta (45.9% vs. 16.3%), metritis (39.3% vs. 17.1%), endometritis (47.5% vs. 16.3%) and pyometra (9.8% vs. 1.2%) were greater in cows from the dystocia group than those from the control group (p < 0.0001); however, there was no difference in the incidence of metabolic disorders (32.8% vs. 31.0%) between the two groups (p > 0.05). The prevalence of culling was higher in cows from the dystocia group (26.2%) than in those from the control group (14.5%, p < 0.05). During the 5-month postpartum period, milk production was lower (p < 0.05) in cows from the dystocia group than in those from the control group. Furthermore, the hazard of insemination by 150 days in milk (DIM) was lower in cows from the dystocia group (hazard ratio [HR] = 0.64, p < 0.005) than in those from the control group. Logistic regression analysis revealed that the odds ratio for the probability of pregnancy after the first artificial insemination was 0.36 times (p < 0.05) higher in cows from the dystocia group than in those from the control group. The hazard of pregnancy by 360 DIM was lower in cows from the dystocia group (HR = 0.45, p = 0.0001) than in those from the control group. In conclusion, dystocia resulted in increased postpartum complications, and decreased milk production and reproductive performance in Holstein dairy cows, leading to increased culling.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3486-3491
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• 2012

The purpose of this study was to examine the variables of success in the national dental hygienist licence examination at D college. The subjects in this study were 120 dental hygiene juniors at D college located in Gangwon Province. The collected data were analyzed by the statistical package SPSS WIN 13.0 and a R2.13.2 program, and $x^2$(Chi-square) test, regression analysis, multiple linear regression analysis and logistic regression analysis were utilized. The findings of the study were as follows: 1. There was a tendency that the pass rate was higher among the students who were more satisfied with their major, whose academic standing was higher and who scored higher in trial examinations. 2. There was a positive correlation between academic standing and trial exam scores. 3. When their academic standing and satisfaction level with major were the same, an increase of one point in trial exams led to a 1.141-fold rise in the probability of passing the national exam. In this study, trial exam scores were identified as the variable to exert the largest influence on success in the national dental hygienist qualification exam. Therefore more intensive guidance should be provided for students who make a preparation for the national exam yet score low in trial exams.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.435-447
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• 2019

In order to prevent unnecessary re-admission, it is necessary to intensively manage the groups with high probability of re-admission. For this, it is necessary to develop a re-admission prediction model. Two - year discharge summary data of one university hospital were collected from 2016 to 2017 to develop a predictive model of re-admission. In this case, the re-admitted patients were defined as those who were discharged more than once during the study period. We conducted descriptive statistics and crosstab analysis to identify the characteristics of rehospitalized patients. The re-admission prediction model was developed using logistic regression, neural network, and decision tree. AUC (Area Under Curve) was used for model evaluation. The logistic regression model was selected as the final re-admission predictive model because the AUC was the best at 0.81. The main variables affecting the selected rehospitalization in the logistic regression model were Residental regions, Age, CCS, Charlson Index Score, Discharge Dept., Via ER, LOS, Operation, Sex, Total payment, and Insurance. The model developed in this study was limited to generalization because it was two years data of one hospital. It is necessary to develop a model that can collect and generalize long-term data from various hospitals in the future. Furthermore, it is necessary to develop a model that can predict the re-admission that was not planned.

• The Journal of Bigdata
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• v.5 no.2
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• pp.53-67
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• 2020

This study employees a supervised learning prediction model to detect nonconformity in advance of processed food manufacturing and processing businesses. The study was conducted according to the standard procedure of machine learning, such as definition of objective function, data preprocessing and feature engineering and model selection and evaluation. The dependent variable was set as the number of supervised inspection detections over the past five years from 2014 to 2018, and the objective function was to maximize the probability of detecting the nonconforming companies. The data was preprocessed by reflecting not only basic attributes such as revenues, operating duration, number of employees, but also the inspections track records and extraneous climate data. After applying the feature variable extraction method, the machine learning algorithm was applied to the data by deriving the company's risk, item risk, environmental risk, and past violation history as feature variables that affect the determination of nonconformity. The f1-score of the decision tree, one of ensemble models, was much higher than those of other models. Based on the results of this study, it is expected that the official food control for food safety management will be enhanced and geared into the data-evidence based management as well as scientific administrative system.

• Journal of the Korean earth science society
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• v.43 no.1
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• pp.199-209
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• 2022

In this study, we analyzed the preparedness of Korean citizens for earthquake hazards. For this purpose, we developed a questionnaire on the preparedness of citizens for earthquake hazards, consisting of three constructs (knowledge, awareness, and management). A total of 1,256 citizen responses were collected through probability proportionate-to-size sampling and then subjected to Rasch analysis, inferential statistical analysis, and cluster analysis. The findings are as follows. First, questionnaire analysis showed that overall, the earthquake preparedness of citizens was 'normal', with a lower management score than knowledge and awareness scores. Second, analysis of variables related to preparedness for earthquake hazards, gender, education level, actual distance, and safety awareness were found to influence preparedness for earthquake hazards. Third, correlation analysis revealed a high correlation between the three constructs of preparedness for earthquake hazards, namely knowledge, awareness, and management, indicating a structurally close relationship with each other. In addition, even if gender and education level differed, these structural correlations were similar. Through cluster analysis, the citizens were further divided into five groups; the group with moderate levels of the three constructs accounted for the majority of citizens. Considering these findings, we propose an educational orientation that fosters the preparedness of citizens for earthquake hazards.