• Journal of agricultural medicine and community health
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• v.30 no.2
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• pp.213-225
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• 2005

Objectives: This study was carried out to evaluate the socio-demographic, style of living, and health related behaviors of community residents between urban and rural areas in Jeonbuk province. Methods: The data was obtained from 2,086 residents who lived in Jeonbuk province from July to September 2001 which included 1,238 residents in urban area and 848 residents in rural area. Results: The results were as follows; There were significant differences socio-demographic characteristics including occupation and educational level of the populations between urban and rural areas. In the urban populations, housewives, professional classes, and people who received collage graduate education were significantly higher, people who were engaged in the primary industries and lower educational classes(below middle school), in contrast, were significantly lower than in the rural populations. In the practice of health behavior, consumption of health foods and amount of exercise in urban populations were significantly higher than in the rural, whereas the state of health, prevalence of chronic disease, Body Mass Index(BMI), consumption of ethanol and cigarette, and hours of sleep were not significantly different between the urban and rural populations. In the eating habits, rate of surfeit, vaccination of hepatitis B, and screening of cancer in the urban populations were significantly higher than in the rural, rate of regular meal, taste of salted food, consumption of vegetables, in contrast. were significantly lower than in the rural. But, consumption of coffee, intake of meat, and periodic medical checkup were not significantly different between urban and rural communities. Logistic regression analysis revealed that the factors associated with subjective thought on health state were sex, age, occupation, educational level, exercise, and consumption of coffee. Logistic regression analysis to find related factor with prevalence of chronic disease was conducted. As a results, age, educational level, BMI, intake of meat, screening of cancer, and consumption of health foods were related to prevalence of chronic disease. Conclusions: The study showed that special attention to device the health plan are necessary and it suggested that consideration of regional differences are required to provide the community health projects.

• The Korean Journal of Pesticide Science
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• v.17 no.4
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• pp.293-301
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• 2013

This study was carried out to investigate the pesticide residue pattern among different leafy vegetables applied with foliar spraying under greenhouse and to check extrapolating from some residue trial data to other minor crops. Leafy vegetables used in this study were: Mustard greens (Brassica juncea L.), Kale (Brassica oleracea L.), Dacheongchae (a kind of pak-choi (Brassica rapa subsp. chinensis L.)), Leaf broccoli (Brassica oleracea var alboglabra), Perilla leaf (Perilla frutescens (L.) Britton var. Frutescens), Leaf lettuce (Lactuca sativa L.), Swiss chard (Beta vulgaris L. subsp. vulgaris) and Red leaf chicory (Cichorium intybus L. var. foliosum Hegi). These are cultivated all year under indoor or outdoor and cut the leaf from plant continuously during harvest time. The amounts of pesticide deposit in/on the continuous harvesting leafy vegetables were affected by the ratios of leaf area to weight. Ratio of perilla leaf was the largest among crops as 58 $cm^2/g$. The residue levels of 7 pesticides in/on perilla leaf were the highest than those of other crops through the statistical analysis from zero day to fifth day after last application. The representative crop in 8 crops was perilla leaf selected based on the amounts of daily consumption and the high residues. This study suggest that the continuous harvesting leafy greens should be separated from the one time harvesting leafy vegetables for the pesticide recommendations because of different harvesting habits and pre-harvest intervals.

• Journal of dental hygiene science
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• v.6 no.3
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• pp.201-206
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• 2006

Purpose: The purpose of this study was to analyze level of dental health knowledge and behavior in elementary student, school health educators should encourage students to have continuous dental care habits for lifelong dental health with practical education. Methods: The subjects in this study were 490 students of four-year, fifth-year and sixth-year from elementary school in Daegu areas. The data was collected through a structured questionnaire from 26, June to 27, June 2006. Collected data were analyzed into frequency and Chi-square test using Spss 10.0 program. Result: Level of dental health knowledge were high as 57.8% in high groups, dental health behavior were high as twice a day in toothbrushing, over three times in visiting frequency of dental clinic for one years and once time of a day in intake frequency of cariogenic food. dental health knowledge by an academic years and sex were significant difference all of four-year, fifth-year and sixth-year. dental health behavior by an academic years and sex were significant difference in visiting frequency of dental clinic for one years and in intake frequency of cariogenic food by an academic years, male and female were significant difference in toothbrushing of a day. relationships of dental health knowledge and behavior were significant difference in intake frequency of cariogenic food.

• Journal of Preventive Medicine and Public Health
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• v.23 no.3 s.31
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• pp.358-368
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• 1990

To investigate the possibility of utilizing of sister chromatid exchange(SCE) analysis in lymphocytes as an indicator which could evaluate the effects of mutagenicity after in vivo exposure to hexavalent chromium, this study was conducted using some of chromium plating workers occupationally exposed to hexavalent chromium, chromium trioxide ($CrO_3$) in Taegu city. The study population was 12 Cr platers with perforation of nasal septum, 12 Cr platers without perforation of nasal septum and 20 controls. The SCE in peripheral blood lymphocytes of the subjects was analyzed and blood chromium concentration was estimated using the atomic absorption spectrophotometer (IL551) equipped with furnace atomizer (IL755). The mean SCE frequencies for Cr platers with and without perforation of nasal septum were statistically higher than those for control. The difference in SCE frequencies by age, smoking habits were not statistically significant both in Cr platers and controls. There was no difference in SCE frequencies by career of Cr platers workers. In Cr platers, the correlation between the mean SCE frequencies and chromium concentration in blood was not statistically significant. Using the transformation $y=(sum\;SCE)^{\frac{1}{2}}+(sum\;SCE+1)^{\frac{1}{2}}$, when the data was studied by multiple regression, it appeared that the influence of the occupation was the most important. Age, smoking, occupation and CrB(blood chromium concentration) together explain only 32.3% of interpersonal variation on SCE. The results in this study suggest tt a genetic risk due to occupationally exposure to hexavalent chromium is clearly inferable and thus, SCE analysis in human lymphocytes may be used indicator of biological toxic effects of chromium. Further, populatio analysis stuies are required before SCE frequency can be used as a mutagenic indicator in human population.

• Journal of Environmental Health Sciences
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• v.17 no.2
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• pp.78-94
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• 1991

The purpose of this study is to research the actual conditions of industrial accident patients and to produce worker satisfaction and a rational and effective counter measure pain. Direct interviews with 179 cases (in and out patients) were carried out during a three month period from April to July 1990, at six hospitals two general hospitals Sun Lin and Sung Mo in Po Hang, and four general hospitals in Taegu Kyung Pook University Hospital, Dong San Medical Center, Young Nam Medical Center and Catholic Hospital. The results of this study are summarized as follows: 1. Among the 179 cases, 51.6 % were male and 48.4 % were female. The two largest age groups were 30~39, 31.8 % and 20~29, 27.4 %. Among the 179 cases, 51.6% were married, the largest family number was 2 to 3, 41.1% and 4 to 5, 25.6%. Educationally, graduation from high school was the largest group, 46.4% among the patients, followed by middle school and primary school. The largest group income level was from 40~69만원, 45.2%. The largest group of patients who worked over 50 hrs. a week was 52.0%. The largest group of patients who worked less than 1 year was 44.7%, of the patients in work places of less than 100 people, 60.3% were injured and in work places of 100~299 people, 20.1% were injured. In manufacturing, the lagest group injured was 55.3%, the next group was transport, stroage, communication. The largest group of production workers injured was 40.2%. 2. The cause of injury in the largest group was facility problems, 33.5%. The next group was unsafe habits, 30.2% a lack of safety knowledge, 17.9% and insufficient supervision, 12.3%. The 30~39 year age group was head the highest number of injuries, 40.4% work places with more than 10 yeras of work, 44.4% work palces with more than 1000 people, 56.3% and mining accidents, 80.0%. Among these groups the highest cause of injury was due to facility problems. 3. The accident pattern showed machinery injuries 28.5% as the largest group, followed by falls & falling objects 17.3%, fire & electric 15.1%, struke by an object 14.5%, followed by overaction and vehicular accidents. The accident pattern showed 46.4 % among workers over the 50 year age group, workers in the 5~10 year group, 50.0 % places employing more than 1000 workers, 35.3 % : construction 73.7%, and construction workers 57.1%, among these fall & falling objects caused the greatest number of injuries. 4. The largest group of injuries was fractures 54.8%, trauma 14.5%, amputation 11.7%, open wound, and burns. The largest number of fractures occurred in people in the 30~39 year age group, 63.2 % over 10 years of work, 55.6% in work places of 300~400 people, 63.6% construction 63.2% and general workers 57.2 %. 5. The largest group of injuries was upper extremity 45.3%, lower extremity 24.0%, trunk 18.5 % and head or neck 12.2%. Of these groups, upper extremity injuries were the highest in those less 20 years old 75.0%, less than 1 years of work 59.5%, in work places of 500~999 people 60.0%, manufacturing 56.6 % and production workers 55.6%. 6. Periods of injury showed 34 people injured in September, to be the largest followed by October, 32 August, 22 people July, 19 people and the lowest December, 2 people. During the week, Friday had the largest group injured, 35 people followed by Saturday, 26 people and the lowest was Wednesday, 17 people, During the day 1400 hours had the largest group injured, 38 people followed by 800 hours, 31 people. 7. On a basis of 5 as the highest mark, the average, according to worker satisfaction showed facility safety 3.55, work environment 3.47, income 3.44, job 3.21 and treatment 2.98. 8. The correlation between general characteristics and injury showed that age was directly correlated to the duration of work(r=.2591) p<0.01, age was directly correlated to industry (r=2311) p<0.01, and the duration was directly correlated to occupation(r =.4372) p<0.001.

• Korean journal of food and cookery science
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• v.18 no.6
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• pp.704-715
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• 2002

This study intended to compare dietary and snack habits of primary students in the schools providing and non-providing lunch to clarify the correlation between those conditions and the occurrence of dental caries. Furthermore, this study also focused on evaluating educational effects by providing children with nutritional education program. 1. As a result of dietary habit analysis, it was found that children from the school providing lunch were better in terms of breakfast regularity, eating speed. optimum amount of intake, and meal time regularity than those from the school non-providing lunch. In particular, it was noted that children from the school providing lunch took a little more meat, fish, seaweed and milk or dairy products than those from school non-providing lunch. Thus, it could be assumed hat children provided with lunch have more reasonable dietary habit than those without lunch program. In general, it was found that there was a slight positive change in children's dietary habit after nutritional instruction than before, suggesting that the nutritional education had effects on improving their dietary habit. 2. It was found that primary students often took snacks causing dental caries such as caramel, chocolate, sweets and biscuits, and children from the school providing lunch were more willing to reduce those snacks upon recognizing the causes of dental caries than those from the school non-providing lunch. For the children who chewed gum with physical cleansing effects, it was shown that the highest frequency wat twice or three times a week. Moreover, the ratio of children who took snacks following dinner which might affect their dental caries and the ratio of children who selected snacks because of TV commercial were both reduced after nutritional education. Also the consumption of detergent foods like vegetable, fruit, protein. seaweed. milk or dietary products after nutritional education was increased. 3. It was found that children from the school providing lunch took more often all food groups except for food group IV affecting dental caries than those from the school non-providing lunch. The average number of consuming foods which cause dental caries was 5.04 times per person a day, and most of those were rather taken by liquid than solid food. The average eating times of rinsing foods which kill the bacteria on the surface of teeth and prevent from dental caries, was 9.33 for a person a day, which was a little higher than recommended time. Exposed time for dental caries for a person a day was 100.9 min, of which liquid dental caries was 56.2 min and solid dental caries was 44.6 min, suggesting that liquid food had a high potential to cause dental caries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.479-488
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• 2018

This study was conducted to investigate factors affecting low body weight of solitary elderly people by grasping the illness and health behavior of elderly living alone. Using the raw data of the community health survey from 2014, the data of 922 elderly living alone who are 65 years or older were used for the final analysis. Data were analyzed by technical analysis statistics, The Rao Scott $x^2$ test, and logistic regression analysis using the composite analysis module of the SPSS/WIN 22.0 program. The results of this study showed that elderly living alone had a high percentage of chronic diseases as well as poor health behaviors such as smoking, drinking, lack of exercise, poor eating habits, difficulties in dentistry due to dentures, and poor subjective health status. Result of logistic regression analysis the risk probability of low-weight due to gender of the elderly living alone is as follows. Risk of low body weight because of smoking was 3.004 times among occasional smokers in women and the elderly, while risk of low body weight due to walking amount is less than 3 days the possibility that the person walking is low is 1.420 times significantly higher. When feeling subjective stress, the possibility of low body weight was 2.220 times greater for male elderly and 1.282 times for female elderly. The probability of low body weight for a person with a poor subjective health level was 3.633 times for male elderly and 1.590 times for female elderly. Based on the results of this study, it is necessary to establish appropriate nursing intervention and management strategies to improve health behavior of low body weight elderly living alone. It is also necessary to conduct additional studies considering various variables such as physical, psychological, and social characteristics of low-weight elderly individuals.

• Journal of agricultural medicine and community health
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• v.34 no.3
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• pp.359-367
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• 2009

Objectives: This study was to identify the changes of body fat, blood pressure, blood glucose and serum lipid of middle and old aged women after participation in exercise program which includes aerobic(dance sports) and anaerobic(dumbbell gymnastics) exercises. Methods: One hundred women aged from 55 to 72 were surveyed before and after an exercise program. The exercise program was provided to the subjects performed during 6 months from July, 2007 to December, 2007 at a public health subcenter in Gumi City. Questionnaire survey for general characteristics, anthropometric measurement and blood test were taken before starting the program and anthropometric measurement and blood test after completing the program. Results: Body Weight, body fat and blood pressure showed significant change after the exercise program(p<0.05). Additionally in total glucose, total cholesterol and triglyceride significant change was observed(p>0.05). Waite circumference decreased, however did not show statistically significant difference. Conclusions: It was effective to participate in dance sports and dumbbell gymnastics exercise regularly. All of the positive changes through the study showed that there should be the program for middle and old aged women to exercise actively and also the middle and old aged women need have a active exercise habits as regular as possible. Additional studies confirming the results of this study are needed to compare the effects of the dance sports and dumbbell gymnastics exercise on the other age groups.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.4
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• pp.511-517
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• 2010

This study was performed to estimate the prevalence and the risk factors of metabolic syndrome in Andong rural area. A total of 1,431 people (533 males, 898 females) aged over 45 years participated in this study in 2003. The prevalence of metabolic syndrome was 38.2% (male 23.5%, female 46.9%, p<0.001). As age increased, the prevalence of the metabolic syndrome increased in female, but not in male. The major underlying components of metabolic syndrome were high blood pressure (67.1%), low HDL-cholesterol (60.6%), and abdominal obesity (39.9%). The distinctive component for male was high blood pressure (70.1%), and for female, low HDL-cholesterol (73.6%), high blood pressure (65.3%), and abdominal obesity (54.5%). Subjects having more than one component were 94.7%. The risk factors for metabolic syndrome were analyzed using the multiple logistic regression method according to gender and expressed as age-adjusted odds ratio (OR). The results of comparing female to male (OR=2.953), and of comparing obese by % body fat (M: OR=5.786, F: OR=13.498) or BMI (M: OR=3.782, F: OR=13.301) to normal body weight showed significantly higher risk for metabolic syndrome (p<0.001). Health related habits, such as smoking, alcohol drinking, and exercise, didn't show any effect on metabolic syndrome. This study revealed that the prevalence of metabolic syndrome was significantly higher in female subjects compared to both male and female, and high blood pressure was the main cause of metabolic syndrome. We suggest that the strategy for prevention or reducing the prevalence of metabolic syndrome in this area should be concentrated on reducing high blood pressure through lowering obesity and abdominal obesity.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.243-264
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• 2018

Although the worldwide battery market is recently spurring the development of lithium secondary battery, lead acid batteries (rechargeable batteries) which have good-performance and can be reused are consumed in a wide range of industry fields. However, lead-acid batteries have a serious problem in that deterioration of a battery makes progress quickly in the presence of that degradation of only one cell among several cells which is packed in a battery begins. To overcome this problem, previous researches have attempted to identify the mechanism of deterioration of a battery in many ways. However, most of previous researches have used data obtained in a laboratory to analyze the mechanism of deterioration of a battery but not used data obtained in a real world. The usage of real data can increase the feasibility and the applicability of the findings of a research. Therefore, this study aims to develop a model which predicts the battery deterioration using data obtained in real world. To this end, we collected data which presents change of battery state by attaching sensors enabling to monitor the battery condition in real time to dozens of golf carts operated in the real golf field. As a result, total 16,883 samples were obtained. And then, we developed a model which predicts a precursor phenomenon representing deterioration of a battery by analyzing the data collected from the sensors using machine learning techniques. As initial independent variables, we used 1) inbound time of a cart, 2) outbound time of a cart, 3) duration(from outbound time to charge time), 4) charge amount, 5) used amount, 6) charge efficiency, 7) lowest temperature of battery cell 1 to 6, 8) lowest voltage of battery cell 1 to 6, 9) highest voltage of battery cell 1 to 6, 10) voltage of battery cell 1 to 6 at the beginning of operation, 11) voltage of battery cell 1 to 6 at the end of charge, 12) used amount of battery cell 1 to 6 during operation, 13) used amount of battery during operation(Max-Min), 14) duration of battery use, and 15) highest current during operation. Since the values of the independent variables, lowest temperature of battery cell 1 to 6, lowest voltage of battery cell 1 to 6, highest voltage of battery cell 1 to 6, voltage of battery cell 1 to 6 at the beginning of operation, voltage of battery cell 1 to 6 at the end of charge, and used amount of battery cell 1 to 6 during operation are similar to that of each battery cell, we conducted principal component analysis using verimax orthogonal rotation in order to mitigate the multiple collinearity problem. According to the results, we made new variables by averaging the values of independent variables clustered together, and used them as final independent variables instead of origin variables, thereby reducing the dimension. We used decision tree, logistic regression, Bayesian network as algorithms for building prediction models. And also, we built prediction models using the bagging of each of them, the boosting of each of them, and RandomForest. Experimental results show that the prediction model using the bagging of decision tree yields the best accuracy of 89.3923%. This study has some limitations in that the additional variables which affect the deterioration of battery such as weather (temperature, humidity) and driving habits, did not considered, therefore, we would like to consider the them in the future research. However, the battery deterioration prediction model proposed in the present study is expected to enable effective and efficient management of battery used in the real filed by dramatically and to reduce the cost caused by not detecting battery deterioration accordingly.