• International Journal of Advanced Culture Technology
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• v.7 no.3
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• pp.58-64
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• 2019

Background: Communication is important for the elderly to maintain existing social relationships while creating new relationships based on good communication skills to lessen psychological and emotional distress and lead a healthy life in advanced age. Aims: This study identifies the difference between the social network-based quality of communication life and the overall quality of life in the elderly and how much the quality of communication life affects the overall quality of life. Methods: This research includes a survey of the elderly aged 65 and over living in small cities of South Korea. Data sets of 201 elderly were analyzed. Results: This study found a significant correlation between the quality of communication life and the overall quality of life. Religion also influences the elderly's quality of communication life. The elderly's quality of communication life has 40% explanatory power of the overall quality of life. Conclusion: Consequently, senior citizens' quality of life will be improved through the enhanced quality of communication in addition to financial and health conditions by participating in various community activities similar to those provided by religion to increase opportunities for communication.

• 한국노년학
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• v.31 no.4
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• pp.1083-1101
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• 2011

The purpose of this study is to describe how the structural and functional features of social network change among widowed middle and older adults and to examine the effect of personal predictors of the social network change. Data was obtained from men and women between 45 to 98 years of age(N=118) who were bereaved by the death of their spouse since the first wave survey and participated in the second wave survey of the Korean Longitudinal Study of Ageing(KLoSA). The main findings are as follows: First, their social network after the bereavement was strengthened centered around children; for example, the number of adult children living in proximity to the parent, frequency of contact with children, and the financial and non-financial support from children generally increased. Second, the social network change pattern was categorized into four types such as "overall increased type," "children-centered increased type," "children/close relationship-centered increased type," and "stagnation type." Finally, the health condition of the widowed middle and older adults was a strong predictor of the social network change.

• Korean Journal of Social Welfare
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• v.62 no.1
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• pp.155-183
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• 2010

Despite the increase in the demands on collaboration between health and social welfare, the success of such schemes have been limited. The extant literatures tends to be dominated by explanations for needs or short-term outcomes of collaboration rather than systematic follow-up research to apply to the frontline. At the same time, there is no attempt to apply the theories related to collaboration in order to discuss the situation. This study explores the factors hindering such collaborative working in the frontline, through semi-structured interviews with practitioners involved in two pilot projects. A theoretical framework (Equilibrium Model-Sensemaking, E-S model) which combined Equilibrium Model of 'Interorganizational Network' of Benson(1975) and 'Sensmaking' of Weick(1995) for conceptualiing aspects of collaborations such as working atmosphere and agency was applied to the empirical study of the Public Health and Welfare Office(1995-1999) and the Social Welfare office(2004-2006) pilot projects. Data were collected over three months from 8 pilot project areas with practitioners and managers from health and social welfare. The findings show significant regional differences between pilot areas, such as the presence of active leaders and co-location, had a major impact on the ability of practitioners to effectively integrate services. In other words, active leaders tended to influence practitioners' motivation, while co-location encouraging communication between both practitioners, and thus seemed to influence the practices of collaborative working. Furthermore, through E-S model, it is interpreted that this kind of positive experiences about collaborations may impact on the current practitioners' comprehensive perspective towards health and social welfare services in general. The findings could help policy makers consider the practical ways to break down the barriers between health and social welfare.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.295-306
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• 2016

The purpose of this paper is both to analyze research trends and to predict industrial flows using the meta-data from the previous studies on data quality. There have been many attempts to analyze the research trends in various fields till lately. However, analysis of previous studies on data quality has produced poor results because of its vast scope and data. Therefore, in this paper, we used a text mining, social network analysis for time series network analysis to analyze the vast scope and data of data quality collected from a Web of Science index database of papers published in the international data quality-field journals for 10 years. The analysis results are as follows: Decreases in Mathematical & Computational Biology, Chemistry, Health Care Sciences & Services, Biochemistry & Molecular Biology, Biochemistry & Molecular Biology, and Medical Information Science. Increases, on the contrary, in Environmental Sciences, Water Resources, Geology, and Instruments & Instrumentation. In addition, the social network analysis results show that the subjects which have the high centrality are analysis, algorithm, and network, and also, image, model, sensor, and optimization are increasing subjects in the data quality field. Furthermore, the industrial connection analysis result on data quality shows that there is high correlation between technique, industry, health, infrastructure, and customer service. And it predicted that the Environmental Sciences, Biotechnology, and Health Industry will be continuously developed. This paper will be useful for people, not only who are in the data quality industry field, but also the researchers who analyze research patterns and find out the industry connection on data quality.

• Korean Journal of Social Welfare Studies
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• v.47 no.4
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• pp.361-388
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• 2016

The purpose of the study was to conduct an empirical study on the scope and level of social exclusion experienced by persons with psychosocial disabilities. The Wave 6 data of the Panel Survey of Employment for the Disabled were used to investigate the current status of social exclusion in life areas including income, education, work, housing, health, social network, social participation, and discrimination (N=4,161). A series of logistic regressions were executed, with the psychosocial disability(PD) group being the reference; the reverse odds rations of different disability groups were compared against the PD reference group (OR=1). The results showed that compared with all others, the PD group was about 2 to 11 times more likely to have risks in income, work, and housing; and that compared to other groups except for the autism/developmental disability group, they were about 6 to 10 times more likely to have risks in social network, social participation and discrimination. In conclusion, the authors urged the need for legal mandates to have community based mental health services and welfare services for the disabled more available to the PD groups and the necessity to eliminate various discriminatory legislations that are violating human and social rights of the persons with PDs.

• Journal of Korean Academy of Nursing
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• v.52 no.2
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• pp.202-213
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• 2022

Purpose: This study examined characteristics and patterns of interorganizational networks for smoking prevention and cessation in Korea. Methods: We surveyed two community health centers, ninety-five hospitals or clinics, ninety- two pharmacies, and sixty-five health welfare organizations in two districts of Seoul in 2020. Data on the organizations' characteristics of smoking cessation and interorganizational activities for information sharing, client referral, and program collaboration were collected and analyzed using network statistics and blockmodeling. Results: Network size was in the order of information sharing, client referral, and program collaboration networks. Network patterns for interorganizational activities on information sharing, client referral, and program collaboration among four organizations were similar between the two districts. Community health centers provided information and received clients from a majority of the organizations. Their interactions were not unidirectional but mutual with other organizations. Pharmacies were involved in information sharing with health welfare organizations and client referrals to hospitals or clinics. Health welfare organizations were primarily connected with the community health centers for client referrals and program collaboration. Conclusion: A community health center is the lead agency in interorganizational activities for smoking prevention and cessation. However, hospitals or clinics, pharmacies, and health welfare organizations also participate in interorganizational networks for smoking prevention and cessation with diverse roles. This study would be evidence for developing future interorganizational networks for smoking prevention and cessation.

• Health Policy and Management
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• v.18 no.2
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• pp.86-106
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• 2008

This research analyzed. knowledge structure and its effect factor by analysis of co-author and keyword network in Korea's health policy and administration sector. The data was extracted from 339 articles listed in the Korean Journal of Health Policy and Administration, and was transformed into a co-author and keyword matrix. In this matrix the existence of a link was defined by impact factors which were calculated by the weight value of what the role was and the rate of how many authors contributed. We demonstrated that the research achievement was dependent on the author's status and network index. Analysis methods were neighborhood degree, correspondence analysis, multiple regression and the difference of weight distribution by research fields. Co-author networks were developed as closeness centrality as well as degree centrality by a few high productivity researchers. In particular, power law distribution was discovered in impact factor and research productivity. The effect of the author's role was significant in both the impact factor calculated by the participatory rate and the number of listed articles. Especially, this journal shared its major researchers who had a licensed physician with the Journal of Preventive Medicine and Public Health. Therefore, social scientists were likely to be small co-author network differently from natural scientists. It was so called 'two cultures' phenomenon. This study showed how can we verified academic research structure existed in the unit of journal like as citation networks. The co-author networks in the field of health policy and administration had more differentiated and clustered than preventive medicine and epidemiology fields.

• Safety and Health at Work
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• v.7 no.3
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• pp.201-207
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• 2016

Background: Korean Working Conditions Surveys (KWCS), referencing European Working Conditions Surveys, have been conducted three times in order to survey working condition and develop work-related policies. However, we found three limitations for managing the collected KWCS data: (1) there was no computerized system for managing data; (2) statistical KWCS data were provided by limited one-way communication; and (3) the concept of a one-time provision of information was pursued. We suggest a web-based public service system that enables ordinary people to make greater use of the KWCS data, which can be managed constantly in the future. Methods: After considering data characteristics, we designed a database, which was able to have the result of all pairwise combinations with two extracted data to construct an analysis system. Using the data of the social network for each user, the tailored analysis system was developed. This system was developed with three methods: clustering and classification for building a social network, and an infographic method for improving readability through a friendly user interface. Results: We developed a database including one input entity consisting of the sociodemographic characteristics and one output entity consisting of working condition characteristics, such as working pattern and work satisfaction. A web-based public service system to provide tailored contents was completed. Conclusion: This study aimed to present a customized analysis system to use the KWCS data efficiently, provide a large amount of data in a form that can give users a better understanding, and lay the ground for helping researchers and policy makers understand the characteristics.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.276-284
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• 2022

The research aims to study the dynamics of academic procrastination and its impact on the mental health of students during the transition to distance learning during the COVID-19 pandemic. At the beginning of the COVID-19 pandemic, it was identified a declining tendency of overall rates of academic procrastination and at the same time increase in the number of carriers of mid and high levels of academic procrastination. The decline in the general rates of academic procrastination at the beginning of 2021 testifies to the adaptation processes experienced by students to the conditions of distance learning. It was documented that students' academic procrastination is accompanied by a steady negative emotional tension. During the transition to distance learning, the intensity of students' learning activity has increased, which altogether causes stress as one of the main reasons for the academic procrastination among future psychologists. The study identified a risk of academic procrastination manifestation among students for their mental health, which provides a basis for developing and testing a program to prevent the phenomenon of academic procrastination among degree-seeking students.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.360-370
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• 2020

In order to understand the factors related to the unmet dental needs, analysis was performed using the data of community health survey data. Targeting population of 214,861 aged 25 and over demographic factors, socioeconomic factors, social support, social environmental factors, social and physical environmental factors, and factors related to necessary unmet dental needs visit it was confirmed. The lower the age, the higher the income level, the lower the education level, the less contact with relatives and friends, the less likely they are to participate in relatives and leisure activities, dissatisfied with sociophysical environment(safety level, natural environment, living environment, public transportation, medical services) the higher unmet dental needs. It was confirmed that not only demographic and socioeconomic factors but also social support, social environmental factors, social and physical environmental factors had a statistically significant impact on the need of unmet dental needs. Future research that includes policy factors as social determinants of health will be needed as a way to increase the unmet dental needs.