• Journal of the Korean Society of Child Welfare
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• no.53
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• pp.105-133
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• 2016

The purpose of this study was to examine the relationships among child abuse, depression, and smartphone addiction by gender. Data were gathered though questionnaires surveying 1,601 adolescents living in the Seoul and Kyeonggi areas. The results of t-tests and multiple regression analyses using structural equation modeling are as follow. First, approximately 40 percent of adolescents reported having experienced child abuse in the past year. Second, 24.5 percent of adolescents were found to be at risk of smartphone addiction. Third, child abuse was associated with depression and smartphone addiction among adolescents, and depression was found to have a mediating effect on the relationship between child abuse and smartphone addiction. Lastly, gender differences were also found: for male students, child abuse was directly related to smartphone addiction; for female adolescents, depression was found to mediate the relationship between child abuse and smartphone addiction. The results suggest different intervention strategies according to gender and a necessity of intervention to prevent child depression and smartphone addiction. The implications for social work practice were also discussed.

• 한국노년학
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• v.38 no.3
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• pp.627-643
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• 2018

This study aims to analyze gender differences in the prevalence of and risk factors for self-neglect among the elderly in South Korea. In order to investigate the differences between male and female elderly group, we compared 793 elderly men and 1,089 women from the data "Research on the Healthy Aging and Well-being of the Elderly" conducted in 2018. First, t-test and ${\chi}^2$-test and multiple regression analysis identified that gender differences in the prevalence of elder self-neglect was not statistically significant. Second, There are differences in risk factors affecting self-neglect between genders. age and class(perception) are the factors only affecting men. Income(monthly), having-religion, living-alone, satisfaction with life, social network are the ones only affecting women. Third, the risk factors for both men and women are depression and social support(public support). It is notable that we verify the empirical evidence supporting the hypothesis that risk factors for elder self-neglect may exist differently according to gender. In particular, gender characteristics revealed in this study can be reasonably explained through exchange theory and feminist theory. Therefore, we emphasize that the policy approach should be done depending on the gender of the elderly, and that the social safety net more paying attention to the depression of the elderly should be strengthened.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.71-80
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• 2021

The purpose of this study is to explore the structural relationships among parents' educational involvement and parental efficacy on students' school life satisfaction and school achievement and to determine whether there are any differences depending on family type and school level. Using data from 2,497 families that participated in the 2018 National Survey on Children's Life, t-tests and structural equation modeling were conducted. The results of this study demonstrated that two-parent families reported higher levels of educational involvement than single-parent families and custodial grandparent families. Also, two-parent families raising children in elementary schools showed higher educational involvement than two-parent families raising children attending middle schools. Second, parental efficacy was found to mediate the effects of parents' educational involvement on students' school life satisfaction and school achievement. Third, the path coefficients between parents' educational involvement, students' school life satisfaction, and school achievement showed statistically significant differences depending on family type, with two-parent families having greater involvement than single-parent families and custodial grandparent families. Fourth, multiple group analysis reported a statistically significant difference in the relationship between parents' educational involvement and school achievement as well as parental efficacy and school achievement depending on the school level.

• Journal of Korean Medicine Rehabilitation
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• v.32 no.3
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• pp.1-11
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• 2022

Objectives This study was designed to evaluate the healing effect of Cordyceps Militaris (CM) on collagen II-induced arthritis rats. Methods Sprague-Dawley rats were randomly divided into 6 groups (normal, control, positive control, CM with low/medium/high dosage each). Type II collagen mixed with complete Freund's adjuvant (with 1:1 v/v) was injected subcutaneously, and the mixture was injected in a same manner one week after the first injection to boost arthritis. Arthritis index, paw thickness and von Frey test were conducted to observe physical changes. hematoxylin and eosin (H&E) staining was performed to observe knee cartilage. The levels of messenger RNA (mRNA) expressions of interleukin (IL)-1𝛽, IL-6, tumor necrosis factor-alpha (TNF-𝛼) in spleen were assessed by real-time polymerase chain reaction. Results Rheumatoid arthritis is an autoimmune disease that occurs on multiple joints and can lead to temporary shape change of bones or organ failure in severe cases. Here, we aimed to determine the effect of CM extract on rheumatoid arthritis by measuring paw thickness, arthritis index, conducting von Frey test and H&E staining, and evaluating the level of IL-1𝛽, IL-6, TNF-𝛼. As a result, paw thickness, arthritis index significantly decreased in low concentration group, hind leg became less sensitive in all expermental groups. Also, histological analysis showed that the damage of knee cartilage was prevented in all experimental groups. The level of mRNA of IL-1𝛽, IL-6, and TNF-𝛼 in spleen was analyzed to decide the effectiveness of CM extract. IL-1𝛽 did not show significant change, but IL-6 and TNF-𝛼 showed significant decrease in at least one of the experimental groups. Conclusions CM showed protective effect on knee tissue destruction and improved the physical conditions of the leg involving arthritis. Also, it showed that CM has anti-inflammatory effect on specific cytokines inducing rheumatoid arthritis. In conclusion, this study demonstrated that the therapeutic potential of CM for the treatment rheumatoid arthritis, and set the foundation for the further 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.

• Analyses & Alternatives
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• v.7 no.2
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• pp.35-77
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• 2023

This study aims to solve the entangled loop between demographic transition (DT) and economic growth by analyzing cross-country data. We undertake a national-level group analysis to verify the compressed transition of demographic variables over time. Assuming that the LA (latecomer advantage) on DT over time exists, we verify that the DT of the latecomer is compressed by providing a formal proof of LA on DT over income. As a DT has the double-kinked functions of income, we check them in multiple aspects: early maturation, leftward threshold, and steeper descent under a contour map and econometric methods. We find that the developing countries (the latecomer) have speedy DT (CDT, compressed DT) as well as speedy income such that DT of the latecomers starts at lower levels of income, lasts for a shorter period, and finishes at the earlier stage of economic development compared to that of developed countries (the early mover). To check the balance of DT, we classify countries into four groups of DT---balanced, slow, unilateral, and rapid transition countries. We identify that the main causes of rapid transition are due to the strong family planning programs of the government. Finally, we check the effect of latecomer's CDT on economic growth inversely: we undertake the simulation of the CDT effect on economic growth and the aging process for the latecomer. A worrying result is that the CDT of the latecomer shows a sharp upturn of the working-age population, followed by a sharp downturn in a short period. Compared to early-mover countries, the latecomer countries cannot buy more time to accommodate the workable population for the period of demographic bonus and prepare their aging societies for demographic onus. Thus, we conclude that CDT is not necessarily advantageous to developing countries. These outcomes of the latecomer's CDT can be re-interpreted as follows. Developing countries need power sources to pump up economic development, such as the following production factors: labor, physical and financial capital, and economic systems. As for labor, the properties of early maturation and leftward thresholds on DTs of the latecomer mean that demographic movement occurs at an unusually early stage of economic development; this is similar to a plane that leaks fuel before or just before take-off, with the result that it no longer flies higher or farther. What is worse, the property of steeper descent represents the falling speed of a plane so that it cannot be sustained at higher levels, and then plummets to all-time lows.

• Korean Journal of Culture and Social Issue
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• v.29 no.3
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• pp.275-304
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• 2023

This study aimed to examine the mechanisms underlying digital game usage behavior by applying the Theory of Planned Behavior and the Balance Theory. It investigated the influences of attitude, subjective norms, and perceived behavioral control on the intention to use digital games, as well as the differences in the application of the Theory of Planned Behavior model based on the balance state among individuals, significant others, and digital games. A total of 315 responses from adult PC game users were collected through an online survey conducted from October 21 to 25, 2021, and were analyzed using multiple regression analysis. The results revealed that attitude and perceived behavioral control had a significant positive impact on the intention to continue using digital games, while subjective norms did not exert a significant influence. By categorizing groups into balanced, unbalanced, and imbalance states based on the balance relationship, the application of the Theory of Planned Behavior model showed that in the unbalanced and imbalance groups, both perceived behavioral control and attitude had a positive impact on the intention to continue using digital games. However, in the balanced group, attitude only had a positive impact on the intention to continue game usage. This study contributes to understanding digital game users by examining both individual psychological factors and the influence of others on digital game usage behavior.

• Journal of International Area Studies (JIAS)
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• v.12 no.4
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• pp.395-420
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• 2009

Academic discourses on Swahili identity have been focused on either its Bantu or Arabic-originated theories. Both theories, nevertheless, have a common feature: a unilineal origin of Swahili identity. This paper questions on this Swahili identity and argues that Swahili identity has been developed through historical experience and discourses. For this, the paper utilizes Barth's theory of situationalism. Barth(1998(1969)) suggests that maintaining an ethnic identity is a personal or group choice out of multiple layers of social identities according to his or their social environments. Tanzanian Swahili identity is a good case for this analysis. Based on fieldwork conducted at Magomeni and Msasani in Dar es Salaam, a capital of Tanzania, the paper shows that residents in both areas hold strong Swahili identities although they have different social and historical experience. In case of Magomeni, most of the residents came from Zanzibar, a core Swahili cultural area. They trace their original genealogy from Arabia peninsular. Besides, they argue that they speak a proper kiSwahili(Swahili language) distinguishable from inland kiSwahili. On the contrary, residents of Msasani show variety of ethnic identities, far from a proper Swahili. They have adapted Swahili identities since the independence of Tanzania. With the help of strong socialist policies, including a language policy, most of Tanzanian ethnic groups have ignored their own identities and accommodated a national identity, Tanzanian(waTanzania) or Swahili people(waSwahili). Makonde immigrants from Mozambique who consists the majority of residents in Msasani also easily accommodate Swahili identity in the course. Therefore, Makonde have began to rebirth as waSwahili by claiming that they are living in Tanzania and speak kiSwahili as a mother tongue.

• 한국노년학
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• v.30 no.3
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• pp.709-726
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• 2010

As S. Korea is aging faster than any other industrialized countries, there exists a need to understand how best to improve the quality of life of the elders. The main purpose of this study is to examine the predictors of life satisfaction in the nationally representative sample of adults aged 65 and older (n=4,155) drawn from the Wave I (2006) of the Korean Longitudinal Study on Aging. Hierarchical multiple regression analysis was run to assess the unique explanatory contribution of socio-demographics, social network, activity participation, and physical/psychological health on the life satisfaction. Three separate analyses were undertaken to note differences by education level: older adults with no formal education, those who had completed 9th grade, and those who had completed 12th grade and more. There are three main findings: 1) Physical/psychological health variables such as subjective health, regular exercise, and depression were significant predictors of life satisfaction regardless of education level; 2) While social network and activity participation factors influence life satisfaction of the two lower education groups, such factors don't affect the highest education group; 3) Marital status, household income, and location of residence were significant demographic predictors of life satisfaction regardless of education level. Implications for program development and policy are discussed in this paper.

• Korean Journal of Radiology
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• v.23 no.12
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• pp.1281-1289
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• 2022

Objective: Radiomic modeling using multiple regions of interest in MRI of the brain to diagnose juvenile myoclonic epilepsy (JME) has not yet been investigated. This study aimed to develop and validate radiomics prediction models to distinguish patients with JME from healthy controls (HCs), and to evaluate the feasibility of a radiomics approach using MRI for diagnosing JME. Materials and Methods: A total of 97 JME patients (25.6 ± 8.5 years; female, 45.5%) and 32 HCs (28.9 ± 11.4 years; female, 50.0%) were randomly split (7:3 ratio) into a training (n = 90) and a test set (n = 39) group. Radiomic features were extracted from 22 regions of interest in the brain using the T1-weighted MRI based on clinical evidence. Predictive models were trained using seven modeling methods, including a light gradient boosting machine, support vector classifier, random forest, logistic regression, extreme gradient boosting, gradient boosting machine, and decision tree, with radiomics features in the training set. The performance of the models was validated and compared to the test set. The model with the highest area under the receiver operating curve (AUROC) was chosen, and important features in the model were identified. Results: The seven tested radiomics models, including light gradient boosting machine, support vector classifier, random forest, logistic regression, extreme gradient boosting, gradient boosting machine, and decision tree, showed AUROC values of 0.817, 0.807, 0.783, 0.779, 0.767, 0.762, and 0.672, respectively. The light gradient boosting machine with the highest AUROC, albeit without statistically significant differences from the other models in pairwise comparisons, had accuracy, precision, recall, and F1 scores of 0.795, 0.818, 0.931, and 0.871, respectively. Radiomic features, including the putamen and ventral diencephalon, were ranked as the most important for suggesting JME. Conclusion: Radiomic models using MRI were able to differentiate JME from HCs.