• Current Photovoltaic Research
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• v.7 no.2
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• pp.38-45
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• 2019

In this paper, we analyzed the present status of the safety manager and safety assurance aspects through a complex analysis on the operational aspects, marketability and electrical safety aspects of photovoltaic power generation facilities. In the analysis of the equipment status, we analyzed the status and operated status of the installed PV system in Korea and the correlation between the safety manager and the accident. In addition, we analyzed the direction of the ESS through the analysis of the installation status of the ESS, and applied it to the interpretation part of the ESS associated with the solar power generation. The status of the electric safety manager can be used to analyze the data for selecting the electric safety manager by capacity by analyzing the accident status, the electric safety manager operation status, the safety management time by capacity, and the electric safety manager market.

• Korean Journal of Health Education and Promotion
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• v.18 no.3
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• pp.11-36
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• 2001

The purpose of this study is to analyze health behavior by comparing the difference between self-perceived health status and health examination results. The study subjects consist of 7,702 people aged over 20, surveyed by Health Interview survey, Health Examination survey, Dietary Life survey, Health Consciousness and Behavior survey. Data used in the study are drawn from raw data from a 1998 National Health and Nutrition survey. General characteristics variables are sex, age, education level, residential area, marital status, occupation, and living standard while dichotomous variables, ‘not healthy’ and ‘healthy’ are used to measure self-perceived health status. Variables for health examination results are high blood pressure, high cholesterol, diabetes, liver diseases, liver inflammation, kidney diseases, normal weight, regular diet, optimum sleeping time(7-8 hours), regular health examination and health behavior practice group. Major findings of the study are as follows: 1) Analysis of self-perceived health status and health behavior by disease: Variables significantly correlated with high self-perceived health status have strong associations with high health behavior practice, which supports the hypothesis that as one has high self-perceived health status, one is more likely to practice health promoting behavior. The results of analysis of health behavior differences by dividing subjects into two categories, ‘cases of illness’ and ‘cases of no illness’ indicate that drinking, sleeping time, health examination are significant variables (p〈0.001, 0.05) whereas smoking, weight control, regular exercise, regular diet are not significant. 2) Analysis of disparity patterns between self-perceived health status and health examination: The hypothesis that health behaviors would be different according to the disparity pattern between self-perceived health status and health examination is supported as a result of χ2 test. Among Type I : Self-perceived health status is high and actual health status is good (no disease) Type II: Self-perceived health status is high and actual health status is poor(have disease) Type III: Self-perceived health status is low and actual health status is good(no disease) Type IN: Self-perceived health status is low and actual health status is poor(have disease) Type I and Type IV show no disparity, Type I shows the highest health promoting behavior whereas Type IV shows the lowest health promoting behavior. Type II, and III, compared to Type I, practise lower health promoting behavior. Multi-logistics regression analysis was conducted to find out the degree of impact on health behavior. Independent variables are general characteristics, self-perceived health status and health examination result and presence of illness, while the dependent variable is health promoting behavior. The analysis of the impact of self-perceived health status on the health promoting behavior shows that smoking, drinking, weight control, regular exercise, health examination practice, and/or regular diet are significantly correlated to self-perceived health status. High self-perceived health status is inversely related to high health promoting behavior. This finding supports the hypothesis that the higher one perceives one's health, the more likely one is to practice health promoting behavior. On the contrary, the presence of illness has little impact on health promoting behavior. 3) Multiple logistics analysis on how disparity patterns between self-perceived health status and health examination affect health behavior: The results of multiple logistics analysis made on health behavior variables compared to the standard variable are as follows: When analyzed on the standard of Type I, smoking is a significant risk factor for the Type IV. In case of drinking, all the patterns show a high probability of relative risk ratio. With regard to weight control, it is a risk factor for Type II while all the patterns show high probability of not practising when analyzed on the standard of type IV. Type III and IV show high probability of not doing regular exercise while Type IV, shows a high probability of not taking appropriate sleeping time. When analyzed on the standard of type IV, all the patterns show a high probability of not taking health examinations. Type III and IV show a high probability of not having regular meals. As for overall health promoting behavior, Type III and IV show a high relative risk ratio. These two groups have low self-perceived health status. It implies that self-perceived health status has significant impact on health promoting behavior. This is also supported by the fact that Type I with high self-perceived health status and no illness shows a high practice rate of health promoting behavior. Types II and III the groups with high disparity between self-perceived health status and health examination results, show a low practice rate of health promoting behavior when compared to Type I. Type IV, that is the group with low self-perceived health status and actual illness, shows the lowest practice of health promoting behavior. It is highly probable that this type proves to be the poorest health group.

• Journal of muscle and joint health
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• v.24 no.2
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• pp.130-139
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• 2017

Purpose: This study was conducted to explore the mediating effect of nutritional status in the relationship between symptom experience and functional status among in patients with lung cancer undergoing chemotherapy. Methods: Subject (N=139) were lung cancer patients visiting the D hospital in B city. Data collection was conducted from May 2016 to February 2017. Seven nutritional status measurement tools, 22 symptom experience tools, and 15 EORTC QLQ-C30 functional scales were used to measure nutritional, symptom, and functional levels. The collected data were analyzed by SPSS / WIN 21.0 using descriptive analysis, Pearson correlation, 3-step regression analysis of Baron and Kenny, and Sobel test. Results: There was a significant positive correlation between symptom experience and nutritional status, a significant negative correlation between symptom experience and functional status, and significant negative correlation between nutritional status and functional status. Symptom experience had direct effect and indirect effects on functional status through nutritional status. Conclusion: For enhancing functional status in lung cancer patients, it is necessary to develop nursing intervention programs to palliate symptoms and improve nutritional status.

• Journal of Family Resource Management and Policy Review
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• v.23 no.4
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• pp.41-56
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• 2019

The purpose of this study is to investigate the effects of economic status on the difficulties of family life focusing on the mediating effects of family communication and family ties. A total of 386 people were surveyed, and data from 352 were used for the actual data analysis. For the analysis, technical statistical analysis, correlation analysis, regression analysis, and a Sobel test were conducted. The results were as follows.: First, the correlation analysis confirmed that there are statistically significant correlations among the economic status of households, family communication, family ties, and the difficulties of family life. Second, the economic status of households directly influences the difficulties of family by mediating family communication and family ties. This study identified that family communication and family ties affect the improvement of difficulties in family life. It suggests that improving economic status, promoting communication among family members, and strengthening family ties can help solve the difficulties of family life.

• Journal of Technologic Dentistry
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• v.34 no.2
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• pp.157-164
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• 2012

Purpose: The purpose of this study was to survey periodontal status using oral health index in the elderly population and determine methods for improving oral health status. Methods: The date collected from 'The fifth korean national health and nutrition examination survey 2010' was analyzed in this study. Statistical analysis was done using the Statistical Package for Social Sciences version 19.0 for windows. We determined frequencies and percentage, calculating means, and standard deviations, and determining statistical significance using logistic regression analysis, multiple regression analysis. Results: General characteristics showed differences in oral health behaviors associated with gender, age, residence, education. General characteristics showed differences in periodontal status associated with gender, family type, gender, residence, education. Oral health behaviors showed differences in periodontal status associated with using oral health care products, dental treatment. Conclusion: In conclusion, in order to improve oral health of the elderly, the importance and needs of periodontal status should be emphasized. periodontal status related education for the elderly should be operated.

• Journal of the Korean Society of Clothing and Textiles
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• v.2 no.2
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• pp.253-260
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• 1978

The purpose of this study was to investigate whether or not the clothing behavior of house-wives in Seoul vary depending on their socioeconomic status. The null hypotheses tested in this study were as follows: 1) There are no differences in housewives' attitudes toward the importance of clothing according to their socioeconomic status. 2) There are no differences in housewives' criteria of clothing choice according to their socioeconomic status. 3) There are no differences in housewives' clothing taste according to their socioeconomic status. 4) There are no differences in the pattern of housewives' clothing purchase according to their socioeconomic status. In order to test these null hypotheses, questionnaires on clothing behavior and socioeconomic status were distributed to a sample of 243 purposively selected housewives in Seoul, Korea. The factor analysis, correlation and analysis of variance techniques were employed for the statistical analysis of data. The results indicated that: 1) The attitudes toward the importance of clothing was related to socioeconomic status. 2) The criteria of clothing choice (aesthetics-practicality), clothing taste (individuality-conformity), and the pattern of clothing purchase (a degree of rationality) were not related to socioeconomic status. 3) The criteria of clothing selection was related to housewives' level of education. 4) Clothing taste was related to housewives' age.

• Research in Community and Public Health Nursing
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• v.6 no.1
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• pp.84-97
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• 1995

There is a widespread concern that women's increasing involvement in dual role (job plus family role) may harm their physical health. Longevity of women is longer than that of men. By contrast, prevalence rate is higher in women than men, and No. of prevalence days, No. of days in bed and No. of days with treatment are more in women. Generally, women live longer, but women are worse in health status than men. Rate of labor participation in women is increasing gradually in Korea. This study presents an analysis of the relationships between employment. marital status and health for both Korean women and men to examine how women's increasing involvements in dual role affect their physical health. The data used in this analysis were collected by The National Statistical Office in the spring of 1992. Households, which were sampled by using a three-stage stratified cluster sampling method, were interviewed. Response rate was 99.43%. Of these, student or widowed or divorced people were excluded. 47,552 women and men aged 21-50 were available for the analysis. Health status was measured by self-assessed health status (1=excellent, 5=poor), No. of prevalent days, No. of days with treatment, and No. of days in bed in two previous weeks. And control variables are age, and education. Research findings are as follows : 1. Men have better self-rated health, fewer prevalent days, fewer days in bed, and fewer days with treatment than women. 2. The employed are more healthier than the non-employed. 3. Unmarried people are more healthier than married people. 4. Interaction effects of sex, marital status, employment are significant. This finding shows that effects of empolyment, marital status on health status is not same for women and men. 5. For male, employed people are more healthier than non-employed people. Unmarried people are more healthier than married people. This differences are significant. For female, The employed are more healthier than the non-employed. However, no differences are noticed between the married and the unmarried in health status. In conclusion, there is no evidence that women's involvements in dual role affect their physical health negatively.

• Journal of Physiology & Pathology in Korean Medicine
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• v.35 no.5
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• pp.185-192
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• 2021

The purpose of this study is to identify the effects of lifestyle, study stress and training stress on health status, and provide fundamental data for health management of university students majoring in physical education. In this study, 149 students participated and they were surveyed demographic characteristics, lifestyle, Maslach burnout inventory (student stress inventory), training stress inventory, and Mibyeong index. Height and weight were measured for calculating BMI. For statistical analysis, Student t-test, ANOVA test, chi-square test, correlation analysis, and multinominal logistic regression test has been used. There were differences between Mibyeong groups according to digestion status, smoking for female students and quality of sleeping for both male and female students. Study stress and training stress also affected to health status. Cynicism among study stress categories and all categories among training stress showed differences between sex. Correlation analysis and logistics regression analysis was used to estimate related factors of health status after adjusting for sex and age. Based on logistics regression analysis, quality of sleeping affected to Mibyeong 1 group and quality of sleeping, smoking and digestion status affected to Mibyeong 2 group. Among training stress category, dissatisfaction with game result and skills and lack of leisure time were affected to both Mibyeong 1 and 2 group. This study suggests that lifestyle, study stress and training stress might be significantly associated with university students majoring in physical education. Through managing those influence factors, health status of students could be improved.

• The Journal of Korean Society for School & Community Health Education
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• v.23 no.3
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• pp.1-13
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• 2022

Objectives: The purpose of this study is to identify the life satisfaction of women with disabilities and the factors affecting their life satisfaction to improve their quality of life. Methods: This study used secondary data, the 2020 Survey of the Disabled. The subjects were 2,725 women with disabilities aged 20 or older who responded to the survey. The SPSS Windows 26.0 program was used for data analysis. Technology analysis, chi-test, and multi-logistic analysis were performed to identify the factors affecting the life satisfaction of women with disabilities. Results: Age, education level, marital status, type of medical insurance type, subjective economic status, disability severity, subjective health status, health screening, chronic disease, stress, depression, suicidal ideation, and variables that can go out alone. As a result of multi-logistic regression analysis on factors affecting life satisfaction of women with disabilities, it was analyzed that education level, marital status, subjective economic status, subjective health status, health screening, chronic disease, stress cognitive status, depression, suicide ideation, and variables that can go out alone had a statistically significant effect. Conclusion: Based on the analysis results of this study, it is required to develop and operate health education and health promotion programs for physical and mental health management of women with disabilities.

• Korean Journal of Artificial Intelligence
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• v.6 no.2
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• pp.23-27
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• 2018

Korea has a high proportion of self-employment. Many of them start the food business since it does not require high-techs and it is possible to start the business relatively easily compared to many others in business categories. However, the closure rate of the business is also high due to excessive competition and market saturation. Cafés and restaurants are examples of food business where the business analysis is highly important. However, for most of the people who want to start their own business, it is difficult to conduct systematic business analysis such as trade area analysis or to find information for business analysis. Therefore, in this paper, we predicted business status with simple information using Microsoft Azure Machine Learning Studio program. Experimental results showed higher performance than the number of attributes, and it is expected that this artificial intelligence model will be helpful to those who are self-employed because it can easily predict the business status. The results showed that the overall accuracy was over 60 % and the performance was high compared to the number of attributes. If this model is used, those who prepare for self-employment who are not experts in the business analysis will be able to predict the business status of stores in Seoul with simple attributes.