• Journal of Family Resource Management and Policy Review
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• v.26 no.1
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• pp.27-42
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• 2022

This study was conducted to examine the resources that influence the choice of drop-out students' reentry to school. A total of five years of panel analysis of 2,553 drop-out teenagers from 2013 to 2017 were utilized. In order to verify the resources that affect the choice of school reentry of teenagers with experiences of suspension of studies to formal middle and high school after July 2012, this study analyzed drop-out teenagers' family resources as well as their psychological, mental, and social-relationship resources. A crossover analysis, t-test, and hierarchical logistic regression analysis were conducted. The major outcomes of this study are as follows: First, the socio-demographic variables among the resources that affected the choice of reentry for school of teenager children were the type of family and number of moves to a new house. Second, the psychological and sentimental variable that affected the choice of school reentry was a decreasing level of positive recognition of the situation of suspension of studies combined with depression, impulsiveness, and perceiving society as one that discriminates based on the level of education. Third, significant family resource variables were the type of family form and parents providing economic support, which is a subfactor of parental attachment. Fourth, the presence of a mentor as a helpful social-relationship resource had a significant effect on relational resources. This study is significant in the sense that the positive family resources that affect the choice of school reentry of drop-out teenage students were determined, and the positive directivity of supportive family resources is presented for parents with teenage children experiencing a suspension of studies.

• Journal of agricultural medicine and community health
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• v.47 no.2
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• pp.109-120
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• 2022

Objectives: The purpose of this study was to identify the effectiveness of COVID-19 vaccinations on deaths of the COVID-19 cases in some elderly long-term care facilities (LTCF) in Gwangju Metropolitan City. Methods: The study subjects were 659 COVID-19 cases in residents of 7 elderly LTCF, Gwangju, from 21 Dec. 2021 to 28 Jan. 2022. The used variables were confirmed dates for COVID-19, demographic characteristics, co-morbidities, presentation of symptoms, death and vaccination related characteristics including type of vaccine, doses and dates. Vaccination status were classified as not vaccinated, partially and fully vaccinated. The associations of vaccination status and deaths of COVID-19 cases were tested by chi-square test and multiple logistic regression analysis. Results: The rates of not vaccinated, partially vaccinated and fully vaccinated were 19.4%, 10.2% and 70.4%, respectively. The mortality rate of the cases was 6.4%. The death rate by vaccination status was 16.4% in not vaccinated, 15.4% in partially vaccinated and 2.6% in fully vaccinated, showing a statistically significant difference. The adjusted odds ratios (ORs) (95% confidence intervals, CIs) of death compared to fully vaccinated were 7.64 (3.87-16.34) in non-vaccinated, and 6.97 (3.44-14.14) in partially vaccinated. Conclusions: COVID-19 vaccination seems to work effectively in preventing deaths of COVID-19 cases of elderly LTCF residents. This finding support that fully vaccinations in high risk group such as elderly LTCF residents is very important for one of strategies of COVID-19 management.

• Korea Trade Review
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• v.42 no.1
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• pp.283-301
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• 2017

As a consequence of the changed role and functions in port operations, the role of port hinterland has transformed to multi-functional logistic centre linking more efficiently elements of the supply chain. This paper analysed distribution centre selection factors in Busan new port hinterland, aiming to diagnose and evaluate the operational situations of port hinterland as multi-functional logistics centre. Based on a data collected from all 122 samples located in Busan new port hinterland, determinants for location competitiveness identified were: political support, market potentiality, infrastructure utilization, market niche, and connectivity. Comparing the difference between an importance and performance, it is revealed that the target port hinterland requires urgent improvement in political supports such as incentive programmes offered by host country, free trade system and related law, financial assistance in constructing distribution centers, and simplicity, ease and efficiency of administrative procedures. The results provide useful insights for establishing future improvement strategies and a strategic agenda to successfully respond to the demands of the companies located in port hinterlands and/or new customers those who want to move in.

• Health Policy and Management
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• v.33 no.2
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• pp.141-156
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• 2023

Background: As the population rapidly ages, older adults are increasingly likely to experience mobility problems. This study aims to explore the characteristics related to an elderly person's willingness to live in a nursing home if they have mobility problems Methods: This study analyzed data from 9,917 older adults (5,976 young-old and 3,941 old-old) obtained from the 2020 National Survey of Older Koreans. The dependent variable was the intended place of residence for older adults with mobility problems. Independent variables included various characteristics: (1) sociodemographic and social support, (2) health and functional status, and (3) residential environment. Rao-Scott chi-square tests and survey logistic regression analyses were performed for the young-old and old-old, respectively. Results: The intention to live in a nursing home was significantly different between the young-old (30.4%) and the old-old (34.7%) (p=0.009). According to fully adjusted multivariable analyses, for the young-old, the odds ratio of intending to live in a nursing home was significantly higher in social security benefit recipients (1.45; 95% confidence interval [CI], 1.06-1.97) compared to other individuals. The odds ratio was higher in unmarried (divorced, separated, widowed, or never-married) individuals for both young-old (1.41; 95% CI, 1.22-1.63) and old-old (1.34; 95% CI, 1.09-1.65) age groups, compared to their respective married counterparts. Conclusion: The results of this study suggest that in an aging society, health and social policies should be designed considering the different characteristics of the elderly to improve their health, function, and quality of life.

• Nutrition Research and Practice
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• v.17 no.4
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• pp.717-734
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• 2023

BACKGROUND/OBJECTIVES: This study aimed to identify preschool children's eating behaviors associated with early childhood obesity and its multi-level, socio-ecological determinants. SUBJECTS/METHODS: In a cross-sectional study of 364 mothers of preschool children aged 3-5 years, these children's healthy eating behaviors were assessed using a validated preschool nutrition quotient (NQ-P) questionnaire. The children's overweight or obesity statuses were determined based on body mass index percentiles from the 2017 Korean National Growth Chart. The associations between the NQ-P score and risk of overweight or obesity were examined using multivariable logistic regression. The associations of individual, maternal, physical, and media environmental factors with the NQ-P score were also examined using multivariable linear regression. RESULTS: Preschool children with greater NQ-P scores were at a significantly lower risk of overweight or obesity (P < 0.01). The NQ-P score had a significantly positive association with maternal body mass index and an inverse association with household income (all P < 0.05). Maternal parenting and feeding practices exhibited associations with the NQ-P score. Positive associations were observed with "warm," "structured," and "autonomy-supportive" parenting as well as monitoring feeding practices (all P < 0.05). In addition, the NQ-P score had a significantly positive association with the childcare center's anti-obesogenic environment, such as the provision of nutritional and physical-activity support and vicinity of the built food environment to the home, including access to good-quality food, fruits and vegetables, and low-fat foods (all P < 0.05). Regarding media environments, the NQ-P score demonstrated more significant associations with viewing and eating and/or cooking content displayed on online video platforms (all P < 0.05) than with that on television. CONCLUSIONS: Our findings confirm the significance of healthy eating behaviors in early-childhood-obesity prevention and underscore the importance of multilevel maternal, physical, and media environmental interventions that effectively guide eating behaviors in preschool children.

• Journal of Korea Planning Association
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• v.54 no.3
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• pp.27-48
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• 2019

The government has implemented housing welfare policy to ease low-income households' housing-cost burden and improve their quality of life. However, public housing residents and housing choice voucher recipients still show a high level of housing-cost burden. In this regard, this study aims to provide policy implications for current housing welfare policy by analyzing and comparing the factors that determine both subsidized and unsubsidized households' housing-cost burden. For the empirical analysis, this study uses "2017 Korea Housing Survey" and divides groups into public housing residents, housing choice voucher recipients, and unsubsidized low-income renters. We compared the level of housing-cost burden by employing t-test and chi-squared analyses and the factors affecting the housing-cost burden by employing logistic regression analyses between the three groups. According to the empirical analysis, the housing cost is the most burdensome for the housing choice voucher recipients group, followed by the unsubsidized low-income renters and public housing residents. In addition, the factors affecting housing-cost burden are different between the three groups. In case of public housing residents, housing characteristics usually affect the housing-cost burden. For housing choice voucher recipients and unsubsidized low-income renters, both housing and household characteristics influence the housing-cost burden. Looking at the detailed factors, except for the housing tenure and regional average rents that are common factors for all groups, the amount of deposit is an important factor for public housing residents, and household employment status is an important factor for both housing choice voucher recipients and unsubsidized low-income renters. The policy implications of this study are as follows: First, it is necessary to review the blind spot of the current housing welfare policy. Second, a comprehensive review of the housing choice voucher program is required. Third, it is necessary to make policy efforts to ease the level of housing-cost burden for renters. Fourth, a program is needed for those public housing residents who need a deposit support. Fifth, there should be further assistance with public housing for the poorest people.

• 한국노년학
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• v.30 no.3
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• pp.695-708
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• 2010

Purpose: This study was to explore the factors affecting on Dietary Behavior Change of the vulnerable elderly based on the Stage of Change. Methods: This study was a secondary analysis of the data collected from 1,262 elderly who were participated in the case management program. Total 984 participants who responded all questionnaire were included in the analysis. The variables included general characteristics, health behavior, health status, and dietary behavior stage. The data collected were analyzed by descriptive statistics, trend test and multi-variate logistic regressions. Results: about twenty four percent of the vulnerable elderly subject was pre-contemplation stage and 46.1% of them was contemplation stage of dietary behavior. Having a depressive mood, dependance of Instrumental Activity of Daily living, and being medicaid affected on starting or on maintaining healthy dietary behavior in vulnerable elderly negatively. Conclusion: The tailored nutritional intervention depending on dietary behavior stage are needed for the vulnerable elderly to improve the health. The program which can maintain the function remained of elderly and give psychological support together will be more effective.

• 한국노년학
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• v.32 no.2
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• pp.577-592
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• 2012

The purpose of this study is to examine which factors determine fall experience among Korean elderly. To achieve this purpose, it uses the Korean Longitudinal Study of Aging(KLoSA), wave 1 and 2. Participants aged 65 from wave 1 were selected. From wave 2, a dependent variable was selected and it was fall experiences since the first interview in 2006. Other than this variable, all independent variables were selected from wave 1. In analyses, x2 or t-test were conducted to examine whether independent variables significantly differ between falls and no falls. Then, since a dependent variable consisted of two categories-falls or no falls, multiple logistic regressions were run. Female, using hearing aid, having two diseases, having three or more diseases, depression, and exercise 5 times/a week or more elevated the odds ratios of fall experience. compared to their reference categories. Particularly, if Korean elderly had three or more diseases or depression, their likelihood of fall experience would have about 2 times higher than their reference categories. In conclusion, health practitioners should make the elderly be recognized how much these risk factors are important to falls. Also, Korean government should support Korean elderly having these risk factors to prevent them from falling.

• Journal of Practical Agriculture & Fisheries Research
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• v.21 no.2
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• pp.103-114
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• 2019

In this study we examined the preferences of college life factors for students at Korea National College of Agriculture and Fisheries(KNCAF). Analytical techniques of unstructured data used opinion mining and text mining techniques, and the results of text mining were visualized as word cloud. And those results were used for statistical analysis of the students' willingness to farm after graduation. The items of the favorable survey consisted of 10 items in 5 areas including university image, self-capacity, dormitory, education system, and future vision. After classifying the emotions of positive and negative in the collected questionnaire, a dictionary of positive and negative was created to evaluate the preference. The items of 'college image' at the time of university support, 'self after 10 years' after graduation, 'self-capacity' and 'present KNCAF' showed high positive emotion. On the other hand, positive emotion was low in the items of 'college dormitory', 'educational course', 'long-term field practice' and 'future of Korean agriculture'. In the cross-analysis of the difference in the will to farming according to gender, farming base, and entrance motivation, the will to farm according to gender and entrance motivation showed statistically significant results, but it was not significant in farming base. Also in binary logistic regression analysis on the will to farming, the statistically significant variable was found to be 'motivation for admission'

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.229-249
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• 2022

This paper investigates machine learning models for predicting the designation of administrative issues in the KOSDAQ market through various techniques. When a company in the Korean stock market is designated as administrative issue, the market recognizes the event itself as negative information, causing losses to the company and investors. The purpose of this study is to evaluate alternative methods for developing a artificial intelligence service to examine a possibility to the designation of administrative issues early through the financial ratio of companies and to help investors manage portfolio risks. In this study, the independent variables used 21 financial ratios representing profitability, stability, activity, and growth. From 2011 to 2020, when K-IFRS was applied, financial data of companies in administrative issues and non-administrative issues stocks are sampled. Logistic regression analysis, decision tree, support vector machine, random forest, and LightGBM are used to predict the designation of administrative issues. According to the results of analysis, LightGBM with 82.73% classification accuracy is the best prediction model, and the prediction model with the lowest classification accuracy is a decision tree with 71.94% accuracy. As a result of checking the top three variables of the importance of variables in the decision tree-based learning model, the financial variables common in each model are ROE(Net profit) and Capital stock turnover ratio, which are relatively important variables in designating administrative issues. In general, it is confirmed that the learning model using the ensemble had higher predictive performance than the single learning model.