• Journal of Preventive Medicine and Public Health
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• v.54 no.1
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• pp.22-30
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• 2021

Objectives: The coronavirus disease 2019 (COVID-19) pandemic is a public health emergency posing unprecedented challenges for health authorities. Social media may serve as an effective platform to disseminate health-related information. This study aimed to assess the extent of social media use, its impact on preventive behavior, and negative health effects such as cyberchondria and information overload. Methods: A cross-sectional observational study was conducted between June 10, 2020 and August 9, 2020 among people visiting the outpatient department of the authors' institution, and participants were also recruited during field visits for an awareness drive. Questions were developed on preventive behavior, and the Short Cyberchondria Scale and instruments dealing with information overload and perceived vulnerability were used. Results: The study recruited 767 participants with a mean age of about 45 years. Most of the participants (>90%) engaged in preventive behaviors, which were influenced by the extent of information received through social media platforms (β=3.297; p<0.001) and awareness of infection when a family member tested positive (β=29.082; p<0.001) or a neighbor tested positive (β=27.964; p<0.001). The majority (63.0%) of individuals often searched for COVID-19 related news on social media platforms. The mean±standard deviation scores for cyberchondria and information overload were 9.09±4.05 and 8.69±2.56, respectively. Significant and moderately strong correlations were found between cyberchondria, information overload, and perceived vulnerability to COVID-19. Conclusions: This study provides evidence that the use of social media as an information- seeking platform altered preventive behavior. However, excessive and misleading information resulted in cyberchondria and information overload.

• The KSFM Journal of Fluid Machinery
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• v.11 no.3
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• pp.30-35
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• 2008

The purpose of this study is to examine the effect of nozzle shapes on the performance and internal flow characteristics of a cross-flow type hydro turbine for wave power generation. The performance of the turbine is calculated with the variation of rotational speed for 4 types of the nozzle shape using a commercial CFD code. The results show that nozzle shape should be designed considering available head of the turbine. Best efficiencies of the turbine by 4 types of the nozzle shape do not change largely but overall performances varies mainly by the nozzle width. The output power of the cross-flow type hydro turbine changes considerably by the nozzle shape and a partial region of stage 2 in the runner blade passage produces maximum regional output power in comparison with the other runner blade passage areas.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1487-1501
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• 2011

Recently, fast-growing up railway transportations. Because, regional traffic congestion problem solving and a period of rapid expansion to meet the demand of industries. In addition the government also suggest to new paradigm for the future 'Low Carbon, Green Growth' is presented as a new national vision. To meet the social needs and the time demands, Last of the railway increase very long tunnels and huge deep tunnels. Especially this trend accelerated high speed up in the tunnel, the revision of design criteria and research challenges are being actively improved. Mainly in the tunnel cross-section was under the control of the vehicle train speed 150km/hr by the construction of the vehicle cross-section of the tunnel. More than 200km/hr rail tunnel depending on the vehicle's speed caused the tunnel to the pressure fluctuations will be governed by the aerodynamic changes. Considering the economy to ensure the optimum cross-section of the railway tunnel to the description scheme is selected cross-section of the railway tunnel to determine the size domestic or international railway tunnel for the elements((based on fast Algorithm design criteria, the center line spacing, streetcar line, cross-sectional shape, sectoral issues, such as interface and aerodynamics) based on design practices and to review results. In this study, to propose guidelines depending on the size of a railway tunnel cross section for the size of the determining reasonable factors when designing the railway tunnel and cost-effective standards guidelines.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.167-181
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• 2013

The cross-border flow of workers in EU having the freedom of labor mobility and residence plays a role in the border labor markets as a structural factor of regulation. The regulation role of the cross-border flow of workers on the Grand R$\acute{e}$gion, which is the border among the France-Belgium-Luxemburg-Germany, is as follows. First, the cross-border flow of workers regulates the regional surplus and lack of labor in quantity and quality. Second, the border labor markets are regulated by the regionally segmented supply and demand of labor and are modulated by the flexible employment like a part-time and temporary employment. Third, the residence of the cross-border workers concentrates on the adjacent regions to the border. And the atypical cross-border workers, who have their residence in the neighboring country but works in the existing country, are rising rapidly.

• Health Policy and Management
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• v.24 no.2
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• pp.143-152
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• 2014

Background: Previous studies showed that the characteristics of population and regions were related to the suicide rates. This study purposed to analyze the relationships between regional factors and suicide rates with spatial analysis model. Methods: This is a cross sectional study based on the statistics of 2011 which was extracted from the 229 City Gun Gu administrative districts in Korea. Cause of death statistics on each district was used to produce the age-, sex-adjusted mortality rates resulting from suicide. Regional characteristics were measured by the number of doctors engaged in medical institutions per 1,000 population, divorced people's rate per 1,000 population, number of marriages per 1,000 population, and percent of welfare budget in general accounting. Statistical analysis was performed by using SAS ver. 9.3 and ArcGIS ver. 10.2 was used for geographically weighted regression (GWR). Results: In ordinary least square (OLS) regression, divorced people's rate per 1,000 population had a significant positive relationship with the standardized mortality rate per 100,000 population. Marriages per 1,000 population and the proportion of welfare budget in the general accounting had significant negative relationships with the mortality rates. Meanwhile, GWR provided that the directions of variable, divorced people's rate per 1,000 population, were varied depending on regions. The adjusted $R^2$ was improved from the 0.32 in OLS to the 0.46 in GWR. Conclusion: Results of GWR showed that regional factors had different effects on the suicide rates depending on locations. It suggested that policy interventions for reducing the suicide rate should consider the regional characteristics in obtaining policy objectives.

• The Journal of Information Systems
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• v.26 no.4
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• pp.419-442
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• 2017

Purpose The purpose of this study is to explore the pattern of user response and it's duration time through social media content response analysis. We also analyze the characteristics of content quality factors which are associate with the user response pattern. The analysis results will provide some implications to develop strategies and schematic plans for the operator of regional marketing on the SNS. Design/methodology/approach This study used mixed methods to verify the effects and responses of social media contents on the users who have concerns about regional events such as local festival, cultural events, and city tours etc. Big data analysis was conducted with the quantitative data from regional government SNSs. The data was collected through web crawling in order to analyze the social media contents. We especially analyzed the contents duration time and peak level time. This study also analyzed the characteristics of contents quality factors using expert evaluation data on the social media contents. Finally, we verify the relationship between the contents quality factors and user response types by cross correlation analysis. Findings According to the big data analysis, we could find some content life cycle which can be explained through empirical distribution with peak time pattern and left skewed long tail. The user response patterns are dependent on time and contents quality. In addition, this study confirms that the level of quality of social media content is closely relate to user interaction and response pattern. As a result of the contents response pattern analysis, it is necessary to develop high quality contents design strategy and content posting and propagation tactics. The SNS operators need to develop high quality contents using rich-media technology and active response contents that induce opinion leader on the SNS.

• Korean Journal of Clinical Pharmacy
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• v.28 no.4
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• pp.308-319
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• 2018

Background: Some mental illnesses such as depression are known to be one of the risk factors of suicide and proper antidepressant therapy can reduce suicidal behavior. Objectives: This study aimed to analyze regional variations in antidepressant consumption and adherence, suicide rate, prevalence of suicide related mental disorders, and access to relevant healthcare services. Methods: Cross-sectional analyses were conducted using National Patients Sample data compiled by the Health Insurance Review and Assessment Service between 2014 and 2016. We included patients who had a diagnosis record of suicide related mental disorders during the study period. Cause of death statistics and National health and medical statistics were used to identify suicide rate and distribution of healthcare service. We conducted visual analyses, chi-squared tests, independent t-tests and correlation analyses to demonstrate regional variations. Results: Between 2014 and 2016, the average prevalence of suicide related mental disorders was 5.4 per cent. Suicide rate and prevalence of suicide related mental disorders were higher in Gangwon, Chungcheong, and Jeolla (p < 0.001), and lower in Seoul (p < 0.001) than the national average. Unexpectedly, regional variations in antidepressant consumption were seen in the limited area including Daejeon, Chungnam and Gyeongnam (p < 0.05). The number of mild patient-centered clinics was associated positively with antidepressant consumption (p < 0.01) and associated negatively with suicide rate (p < 0.01). Conclusion: There were some regional variations in prevalence of suicide related mental disorders, antidepressant adherence and suicide rate. The higher level of antidepressant therapy and the lower level of suicide rates were seen in regions with easy access to mild patient-centered clinics.

• Journal of agricultural medicine and community health
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• v.47 no.4
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• pp.268-274
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• 2022

Objectives: The purpose of this study was to identify the individual and regional risk factors on depression using community-based data in Jeollabuk-do. Methods: This cross-sectional study obtained data from the Community Health Survey 2018 in Jeollabuk-do. The dependent variable was depression measured by Patient Health Questionnaire-9 (PHQ-9). The prevalence of depression was defined if total score of PHQ-9 was 10 or higher. A multilevel analysis was conducted to consider individual and regional level independent variables that could be risk factors for depression. Results: In the individual level, female gender and smokers had significantly higher odds ratios (ORs) for depression of 1.58 and 1.72, respectively. Subjects with economic activity, higher income and higher education had significantly lower ORs of 0.53, 0.41 and 0.66. In the regional level, higher greening rates and lower levels of PM2.5 had statistically lower ORs at the significance level of 10%. Conclusion: By conducting this study, risk factors associated with depression were identified in individual- and regional-level. This study suggests that health projects are needed to control regional level risk factors including community networks for mental health management in addition to the traditional individual level risk factors.

• Korean Journal of Community Nutrition
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• v.28 no.2
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• pp.124-140
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• 2023

Objectives: This study examined the changes in dietary habits, the prevalence of chronic diseases, and mental health problems in the regional areas of the Republic of Korea before and after the COVID-19 pandemic to provide evidence of the status of regional health inequalities. Methods: This study analyzed Korean adults aged 19 or older who participated in the Korea Community Health Survey (n = 686,708) and Consumer Behavior Survey for Foods (n = 19,109) from 2018 to 2020. The participants were classified according to their residence area (Seoul metropolitan area, Metropolitan cities, Provinces); 2018-2019 were defined as before COVID-19, and 2020 as after COVID-19. The dietary behaviors, chronic diseases, and mental health problems were measured using a self-report questionnaire. Results: After COVID-19, the eating-out usage rate in the Seoul metropolitan area and Provinces decreased compared to before COVID-19 (P < 0.001), and when responding that they eat out, the frequency of eating out with household members in the Seoul metropolitan area increased (P = 0.024). The deliveries/takeout usage rate in the Provinces decreased after COVID-19 compared to before (P < 0.001). After COVID-19, the prevalence of obesity decreased in all regions (P < 0.001), and the prevalence of hypertension increased significantly in the Provinces (P = 0.015). The prevalence of diabetes mellitus increased continuously before and after COVID-19 in all regions (P < 0.002). High-risk subjective stress levels increased significantly in the Seoul metropolitan area (P < 0.001), and sleep duration significantly increased in all regions (P < 0.001). Major depressive disorder was reduced significantly in Metropolitan cities (P = 0.042) and Provinces (P < 0.001). Conclusions: After the COVID-19 pandemic, the prevalence of chronic diseases and mental health problems showed regional differences along with changes in dietary habits. It is necessary to reflect the regional differences in dietary habits in future policies resolving regional health inequalities.

• Journal of the Korean Society of Costume
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• v.64 no.6
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• pp.161-175
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• 2014

This paper investigates the differences between characteristics of street fashions due to regional and cultural differences in southern and northern region of China. Beijing and Shenzhen were chosen as representative cities for the two areas. Empirical research and literature study were performed for this study. Empirical studies were performed by using a total of 708 images of dresses, which were collected through direct imaging. Through discussion with experts, the collected data were classified into five categories; Modern trendy, Romantic, Easy casual, Ethnic, and Classical/Traditional. The data was analyzed by using cross tabulation and frequency analysis. Content analysis for each category was also conducted. As a consequence of this study, a significant difference between Beijing and Shenzhen were observed. As a city, which puts emphasis on practicality and modernity, Beijing showed a higher frequency of modern and trendy style than the other city. On the other hand, Shenzhen showed a higher frequency of romantic style and was distinguished as a city of femininity and decorative preference of fashion style. This study intends to contribute to the academic community of Chinese fashion and to help Korean clothing companies to be launched in Chinese market in the future.