Purpose: A tobacco-free campus (TFC) is the most advanced tobacco-control policy for college campuses, but it has rarely been explored in Korea. This study aimed to explore Korean college students' attitudes toward TFC and related factors. Methods: This cross-sectional descriptive study enrolled college students who were taking an elective course on smoking cessation and a healthy lifestyle at a university located in Incheon, Korea. Data were collected from March 1 to December 31, 2019 using a structured questionnaire, and study participants were recruited using convenience sampling. Results: Data on 309 college students were analyzed. Of those participants, 6.1% supported the TFC policy. Multiple logistic regression analysis showed that female gender (adjusted odds ratio [aOR]=5.80, 95% confidence interval [CI]=1.47-22.95), taking the course to quit smoking oneself (aOR=11.03, 95% CI=1.04-117.05), anxiety in the past month (aOR=4.27, 95% CI=1.06-17.31), and being a current smoker (aOR=0.06, 95% CI=0.01-0.70) were statistically significant independent predictors of TFC support. Conclusion: Women, students taking the course to quit smoking themselves, nonsmokers, and students who felt anxious in the past month were more likely to support TFC. Further research with more representative samples is required to examine the characteristics of people who favor TFC.
Purpose: This study aimed to identify factors affecting the mental health status of children from multicultural families in South Korea. Methods: This study was based on Dahlgren and Whitehead's (1991) rainbow model as a conceptual framework and used data from the second phase of the multicultural adolescents panel study conducted by the National Youth Policy Institute. Multiple logistic regression analysis was performed using SPSS version 26.0, with p<.05 considered to indicate statistical significance. Results: In the final model, stress (odds ratio [OR]=0.53, p<.001), life satisfaction (OR=2.09, p=.004), self-esteem (OR=1.73, p=.032), and peer support (OR=1.46, p=.019) affected the mental health status of children from multicultural families. The living and working conditions and general socioeconomic, cultural, and environmental conditions did not significantly influence the mental health status of children from multicultural families in the final model. Conclusion: As components of Dahlgren and Whitehead's model, individual hereditary and lifestyle factors, as well as social and community networks, affected the mental health status of children from multicultural families. Therefore, in order to improve the mental health of children from multicultural families, efforts are needed to alleviate their stress, increase life satisfaction and self-esteem, and strengthen their social support.
Journal of Korea Artificial Intelligence Association
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v.1
no.2
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pp.1-6
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2023
In this paper, we present a new method for classifying malicious URLs to reduce cases of learning difficulties due to unfamiliar and difficult terms related to information protection. This study plans to extract only visually distinguishable features within the URL structure and compare them through map learning algorithms, and to compare the contribution values of the best map learning algorithm methods to extract features that have the most impact on classifying malicious URLs. As research data, Kaggle used data that classified 7,046 malicious URLs and 7.046 normal URLs. As a result of the study, among the three supervised learning algorithms used (Decision Tree, Support Vector Machine, and Logistic Regression), the Decision Tree algorithm showed the best performance with 83% accuracy, 83.1% F1-score and 83.6% Recall values. It was confirmed that the contribution value of https is the highest among whether to use https, sub domain, and prefix and suffix, which can be visually distinguished through the feature contribution of Decision Tree. Although it has been difficult to learn unfamiliar and difficult terms so far, this study will be able to provide an intuitive judgment method without explanation of the terms and prove its usefulness in the field of malicious URL detection.
Journal of Wellbeing Management and Applied Psychology
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v.7
no.3
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pp.55-65
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2024
Purpose: This study aims to analyze the status and realities of mental health counseling experiences among adults using the 2022 National Health and Nutrition Examination Survey(NHNES) data. The goal is to provide policy recommendations for enhancing mental health services. Research Methods: Utilizing secondary data analysis of the 2022 survey conducted by the Korea Disease Control and Prevention Agency(KDCPA), this study applied statistical techniques including descriptive statistics, chi-square tests, and logistic regression to evaluate counseling experiences based on age, gender, residential area, and income levels. Results: The study included 5,256 participants, with the highest proportion being those aged 60-69 (21.3%) and the lowest aged 19-29 (11.7%). Females constituted 56.5% of the sample, while males made up 43.5%. Older adults (60-69 and 70+) had significantly lower counseling experience rates compared to younger adults (19-29). Females had higher counseling experience rates than males, indicating gender differences in mental health service utilization. Urban residents had higher counseling experience rates than rural residents, suggesting better access to mental health services in urban areas. Lower income levels were associated with higher counseling experience rates, highlighting the need for targeted mental health support for economically disadvantaged groups. Conclusions: The study recommends developing age-specific, gender-sensitive, and regionally tailored mental health programs to improve accessibility and effectiveness. Additionally, policies should focus on enhancing mental health support for low-income individuals to address the socioeconomic disparities in mental health service utilization.
Purpose - A traditional retail market is a place that offers economic opportunity to employees and employers alike it also is a place where the community can meet. The Korean government has invested three trillion won to improve physical and non-physical aspects in traditional retail markets since 2004. However, little research on this has been conducted. We explore this research gap that could lead to theory extension. We analyze consumption behavior with respect to traditional retail markets through an empirical analysis, thus overcoming limits in previous research. We empirically analyze policy effects of traditional retail market projects supported by the Korean government. Research design, data, and methodology - We propose a traditional retail market improvement plan via the relation between cause and effect resulting from the analysis. More specifically, logit analysis was carried out with 1,754 consumers in 16 cities nationwide. In order to analyze consumer consumption behaviors nationwide, the probability was analyzed using a logit model. This research analyzes the link between support and non-support by the Korean government using binary values. The dependent variable is whether Korean government support is implemented; the binomial logistic regression is used as the statistical estimation technique. The object variables are:1 (support) or 0 (nonsupport), and the prediction value is between 1 and 0. As a result of the factor analysis of questions related to attributes of service quality, four factors were extracted: convenience, product, facilities, and service. Results - The results indicate that convenience, product, and facilities have a significant influence on consumer satisfaction in accordance with the government's traditional retail market support. Additionally, the results reveal that convenience, product, facilities, and service all have a significant influence on consumer satisfaction in a traditional retail market's service quality and consumer satisfaction. Finally, the analysis indicates that the highly satisfied traditional retail market customer has a significant influence on revisit intention. Moreover, the results reveal that the highly satisfied traditional retail market customer has a significant influence on recommendation intention. Conclusions - This research focused on consumers nationwide to measure policy effects of traditional retail markets compared to previous research that focused on one traditional retail market or a specific area. We verified the relationship of service quality and customer satisfaction and consumer behavior based on service quality theory. The results indicate that consumer satisfaction of traditional retail markets supported by service quality factors has a significant impact. In a concrete form, the results indicate that these effects are from facility modernization projects and marketing support projects of the Korean government. The results also imply that these facility and management support effects from the Korean government have been consistent. We realize that the Korean government has to selectively support traditional retail markets in major cities and small and medium-sized cities. To that end, the Korean government needs to select a concentration strategy for the revitalization of traditional retail markets.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.11
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pp.335-347
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2019
This study was undertaken to investigate the relationship between social support and depression of the elderly in care facilities. We enrolled 328 elderly people aged 65 years or older, admitted to 15 care facilities located in D metropolitan city. Data were collected through personal interviews conducted by interviewers who visited each care facility, from March 1 to May 31, 2018. Our results indicate a significantly higher distribution of depression in the group having lower social support; the score of depression was determined to be in a significant positive correlation with social support. Considering logistic regression, the adjusted odds ratio in the depressed group increased significantly by 2.7 times in the high group (Q3), 5.4 times in the middle group (Q2) and 10.1 times in the low group (Q1), which had the very high group of social support score. Multiple regression analysis revealed that the factors influencing depression include religion status, relationship with children, subjective health status, physical disabilities, smoking status, breakfast status, and social support, and the explanation power of the injected variables is 41.1%. Taken together, our findings indicate that the level of depression amongst the elderly in care facilities is significantly related to the social support available.
Recently increasing young adults have experienced serious economic difficulties in their transition to adulthood and so a great deal of parents have to help their children financially even well after children finish their schools. Utilizing the 2008 Social Survey, a nationwide representative survey collected by the Statistics Korea, this paper examines how children, mothers, and fathers think about parental support to adult children. Respondents of the 2008 Social Survey answer how much parents support economically to their children about the following four items: college education, graduation school education, spending money while searching for jobs, and marital preparation. Analyzing a sample of 1,727 high school students and their parents, I find that the three family members generally accept economic support to the above items as part of parental duties. Also comparisons of the three family members' attitudes indicate that they usually reach the consensus about the dutiful scope of parental support to adult children. Logistic regressions reveal that male teens and children with conservatism are more likely to believe in wider scope of parental economic duties. And parents who are on good terms with children and are high in educational and occupational levels are more willing to support adult children. I conclude with implications of the findings for intergenerational relationships.
Journal of the Korean society of biological therapies in psychiatry
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v.24
no.3
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pp.184-193
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2018
Objectives : This study investigated the effects of social support and chronic medical conditions on depressive symptoms in elderly people living alone in a rural community. Methods : Sociodemographic information on 173 subjects aged 65 years or older who lived alone in a rural community and were recipients of National Basic Livelihood Security was collected and analyzed. All participants completed the Korean Form of the Geriatric Depression Scale and the Lubben Social Network Scale. Additionally, the current prevalence of chronic medical conditions that interfere with the activities of daily living was examined. Multiple logistic regression analysis was conducted to analyze the associations of social support and chronic medical conditions with depressive symptoms. Results : Social support(odds ratio: OR, 0.96; 95% confidence interval: 95% CI, 0.92-0.99) and chronic medical conditions(OR, 1.59; 95% CI, 1.23-2.05) were significantly associated with depressive symptoms in all subjects. When analyzed by gender, social support served as a protective factor against depressive symptoms in elderly men only(OR, 0.91; 95% CI, 0.83-0.99), and chronic medical conditions increased the risk of depressive symptoms in elderly women only(OR, 1.74; 95% CI, 1.26-2.40). Furthermore, osteoarthritis and lumbar pain were risk factors for depressive symptoms in all subjects(OR, 2.24; 95% CI, 1.10-4.56 and OR, 2.10; 95% CI, 1.08-4.12) and in elderly women(OR, 4.07; 95% CI, 1.68-9.84 and OR, 3.34; 95% CI, 1.47-7.57), respectively. Conclusion : This study indicates that improving the social support and managing the chronic medical conditions of elderly people living alone are important for the prevention of depression in this population. Additionally, the present results suggest that it is necessary to establish different depression-prevention strategies for elderly men and women living alone.
This paper presents a new combined forecasting method that is guided by the soft set theory (CFBSS) to predict business failures with different sample sizes. The proposed method combines both qualitative analysis and quantitative analysis to improve forecasting performance. We considered an expert system (ES), logistic regression (LR), and support vector machine (SVM) as forecasting components whose weights are determined by the receiver operating characteristic (ROC) curve. The proposed procedure was applied to real data sets from Chinese listed firms. For performance comparison, single ES, LR, and SVM methods, the combined forecasting method based on equal weights (CFBEWs), the combined forecasting method based on neural networks (CFBNNs), and the combined forecasting method based on rough sets and the D-S theory (CFBRSDS) were also included in the empirical experiment. CFBSS obtains the highest forecasting accuracy and the second-best forecasting stability. The empirical results demonstrate the superior forecasting performance of our method in terms of accuracy and stability.
Journal of Korean Society of Industrial and Systems Engineering
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v.25
no.5
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pp.60-66
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2002
The military services have sought to improve the overall quality, management, and delivery of military technical information in all of its aspects. The efforts concentrated on developing IETM(Interactive Electronic Technical Manual) by using the application of computer technology for the storage, control, and presentation of maintenance, system-operation, training, and other forms of logistic-support technical information. In this paper, the methodologies are presented to evaluate the operational effectiveness of IETM which consists of confirmity and performance. Confirmity is evaluated by the check-sheet based on the standard of CALS, and performance by the comparison of the technician performance between IETM and paper-TM.
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