• Journal of the Korean Society of Safety
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• v.38 no.2
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• pp.87-95
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• 2023

On October 29, 2022, a very large number of people gathered in Itaewondong, Yongsan-gu, Seoul, Korea for a Halloween festival, and as crowds pushed through narrow alleys, 159 deaths and 195 injuries occurred, making it the largest crushing incident in Korea. There have been a number of stampede deaths where crowds gathered at large-scale festivals, event venues, and stadiums, both at home and abroad. When the density increases, the physical contact between bodies becomes very strong, and crowd turbulence occurs when the force of the crowd is suddenly added from one body to another; thus, the force is amplified and causes the crowd to behave like a mass of fluid. When crowd turbulence occurs, people cannot control themselves and are pushed into he crowd. To prevent a stampede accident, investigation and management of areas expected to be crowded and congested must be systematically conducted, and related ministries and local governments are planning to establish a crowd management system to prepare safety management measures to prevent accidents involving multiple crowds. In this study, based on national data, a continuous digital topographic map is modeled in 3D to analyze the risk of crowding and present a plan for selecting high-risk walking routes. Areas with a high risk of crowding are selected in advance based on various data (numerical data, floating population, and regional data) in a realistic and feasible way, and the analysis is based on the visible results from 3D modeling of the risk area. The study demonstrates that it is possible to prepare measures to prevent cluster accidents that can reflect the characteristics of the region.

• Korean Journal of Acupuncture
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• v.40 no.2
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• pp.44-53
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• 2023

Objectives : This study was conducted to reveal the relationship between multiple factors of traditional Korean Medicine diagnosis and consider the further probabilities of treating people with physical and mental problems not defined as diseases, which is called 'Mibyeong' in traditional Korean Medicine. Methods : 40 healthy participants were included in the observational clinical trial. The participants were asked to complete health questionnaires (e.g. State-Trait Anxiety Inventory, Pittsburgh Sleep Quality Index, Stress Response Inventory) and they went through a traditional diagnosis process, including four stages of diagnosis (looking, listening/smelling, inquiring, and pulse taking), by a Korean Medicine doctor. Both the Korean Medicine doctor and an artery tonometry device performed the pulse diagnosis. Results : Although all participants were healthy people with no history of disease, more than half of participants had a problem related with severe level of fatigue (n=19), sleep disturbance (n=26) and stress (n=27) status according to the related questionnaires. Participants diagnosed with phlegm syndrome by the Korean Medicine doctor showed significantly greater score in phlegm pattern questionnaires than participants who were not. However, there was little agreement between the doctor's pulse diagnosis and radial artery tonometry results. Conclusions : We conducted a pulse diagnosis and measured health-related information along with the traditional Korean Medicine diagnose procedure, including four stages of diagnosis, and we found a linkage between diagnosis of phlegm and the phlegm pattern questionnaire score. The results suggest that a number of healthy participants, with no disease diagnosed, have Mibyoung symptoms which need further clinical management. Thus, we suggest that Mibyoung management programs based on qualified diagnosis tools and traditional Korean medicine diagnosis procedures be developed, and that future research using various diagnostic tools be carried out on a large population.

• Journal of People, Plants, and Environment
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• v.22 no.1
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• pp.15-29
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• 2019

The purpose of this study is to investigate the effects of the exhibition displays and events of the Agro-healing Experience Hall in the Agricultural Technology Exhibition 2018 on satisfaction and revisit intention of visitors. A survey was conducted on visitors of the Agro-healing Experience Hall and the responses of 274 visitors excluding 26 cases with inappropriate responses were analyzed. For psychological measurement, the Perceived Restorativeness Scale (PRS), Profile of Mood States (POMS), level of plant gardening experience, satisfaction and loyalty were measured. There was a significant difference among age groups in all four factors of the PRS (repose, fascination, coherence, and legibility). In the case of education level, there was a significant difference in the three factors (repose, fascination, and legibility). In addition, average monthly income showed a significant difference among groups in the two factors (fascination and coherence). As a result of analyzing the mood states of visitors for the exhibition events of the Agro-healing Experience Hall, there was a significant difference among age groups only in the case of vigor (p < .05). As a result of analyzing the correlation between the level of plant gardening activities (3 factors) and PRS (4 factors) in the exhibition events of the Agro-healing Experience Hall, plant preference tendency and plant-related event showed a high positive correlation of 0.5 or more with repose of the PRS factors. A multiple regression analysis was conducted to investigate the effects of the level of plant gardening activities, PRS and POMS on the satisfaction and loyalty of visitors. As a result, it was found that in terms of relative explanatory power over independent variables affecting satisfaction and revisit intention, fascination had the greatest effect, followed by vigor, fatigue, and occupation (company employee). The results of this study suggest that exhibition events of the Agro-healing Experience Hall affect repose, fascination or vigor of visitors, and thus can be used positively to increase satisfaction and revisit intention of visitors.

• Journal of East-West Nursing Research
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• v.29 no.2
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• pp.129-140
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• 2023

Objectives: Suicide rate in South Korea is one of the major public health concerns. This study examined the factors influencing the suicide methods of people who committed suicide in Gyeonggi-do, which accounts for one-fourth of the population of South Korea. Methods: This study analyzed the data of a total of 13,945 suicide deaths in Gyeonggi-do over a five-year period (2016-2020) provided by the Statistics Korea and the influence of social and demographic characteristics on the analyzed suicide methods. The differences in suicide methods according to the social and demographic characteristics of suicide victims were compared and analyzed through chi-squared, and items with significant differences in univariate tests were analyzed by multiple logisitic regression analysis. Results: Among suicide deaths, the most common method of suicide was hanging (52.4%). In particular, women, were employed, and stayed at home were higher risk of being hanged. The second most common method of suicide was leaping (17.7%). Women under the age of 30, those with a college degree or higher, those who were not working, time of death (6-12), and those outside the home were more likely to choose to take the leap. The third most common method of suicide was gas poisoning (15.8%). Young people under the age of 65, college graduates or higher, without a spouse, were employed, and spring season were at increased risk of choosing gas poisoning. Conclusions: The results highlight the need for policies that consider risk factors such as gender, age, education, marital status, employments status, time of suicide, and place of suicide in order to block access to suicide methods for suicide victims in Gyeonggi-do.

• Journal of Korean Biological Nursing Science
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• v.26 no.3
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• pp.240-249
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• 2024

Purpose: This study aimed to identify factors associated with nurses' vaccination acceptance in the initial stage of coronavirus infectious disease 2019 (COVID-19) vaccination in Korea. Methods: This cross-sectional study collected data from hospital-level or higher medical institutions from May 5 to May 7, 2021 with a total of 368 nurses via an online survey. Multiple regression analysis was used to identify factors associated with vaccination acceptance. Results: The acceptance of COVID-19 vaccination had an average score of 4.28 ± 0.80 out of 7 points. Among the sub-areas of acceptance, the safety of the vaccine exhibited the lowest score (average, 2.80 ± 0.83). The factors related to COVID-19 vaccination acceptance in nurses were age (over 40 compared to under 29) (β = .16, p = .008), experience (more than 11 years compared to under 5) (β = .16, p = .010), the absence of a preferred vaccine (β = -.14, p = .004), and educational background (a master's degree or higher compared to a bachelor's degree or lower) (β = .12, p = .042). Conclusion: In the initial stage of COVID-19 vaccination, nurses believed that the COVID-19 vaccine was important and that people should be vaccinated, but had concerns regarding the safety of the vaccine. Older age, more experience, the absence of a preferred vaccine, and a higher educational background were associated with higher acceptance of COVID-19 vaccination. Therefore, more active education on the necessity and value of vaccination for young people is required at the individual and socio-cultural level, and a sufficient supply of preferred vaccines at the national level is needed.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.27-33
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• 2024

As of 2023, the number of accident victims in the domestic construction industry is 26,829, ranking second only to other businesses (service industries). The accident types of casualties in all industries were falls (29,229 people), followed by falls (14,357 people). Based on the above data, this study attaches sensors to hard hats and insoles to predict fall accidents that frequently occur at construction sites, and proposes smart safety equipment that applies a random forest algorithm based on the data collected through this. The random forest model can determine fall accidents in real time with high accuracy by generating multiple decision trees and combining the predictions of each tree. This model classifies whether a worker has had a fall accident and the type of behavior through data collected from the MPU-6050 sensor attached to the hard hat. Fall accidents that are primarily determined from hard hats are secondarily predicted through sensors attached to the insole, thereby increasing prediction accuracy. It is expected that this will enable rapid response in the event of an accident, thereby reducing worker deaths and accidents.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.15 no.1
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• pp.23-28
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• 2019

People with intellectual disabilities (ID) usually have poor oral health status and are susceptive to have more caries than general populations. Even when the patients get regular dental treatment, their dental conditions are usually not good for some additional factors. In this presentation, we show dental follow-up care of two patients who have multiple caries. The first case is a 16-year-old boy who has a unilateral facial paralysis with ID. As the lack of controlling of the muscles resulted in interfering with the self-cleansing, it would be associated with a higher incidence on the affected side. Endodontic treatment and caries treatment as restoration was performed. Due to loss of posterior occlusal support on right side, we planned to recover the right posterior relationship by full coverage restorations. In second case, a 20-year-old boy has been on a long-term follow up. Caries treatment, periodontal treatment, and prosthetic treatment were performed under several times of general anesthesia. He has been treated more than 8 years and gets a regular check at 1-month intervals, however, high dental caries susceptibility has been retained. These cases present that dentists should perform more aggressive treatment and be involved in providing better maintenance of patients with intellectual disabilities with multiple caries in adolescence. In other words, it is necessary to suggest a customized preventive strategy for patients with ID.

• Journal of Environmental Health Sciences
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• v.48 no.4
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• pp.236-243
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• 2022

Background: In the case of multiple exposures to different types of heavy metals, such as the conditions faced by residents living near a smelter, it would be preferable to group hazardous substances with similar characteristics rather than individually related substances and evaluate the effects of each group on the human body. Objectives: The purpose of this study is to evaluate the utility of factor analysis in the assessment of health effects caused by exposure to two or more hazardous substances with similar characteristics, such as in the case of residents living near a smelter. Methods: Heavy metal concentration data for 572 people living in the vicinity of the Janghang smelter area were grouped based on several subfactors according to their characteristics using factor analysis. Using these factor scores as an independent variable, multiple regression analysis was performed on health effect markers. Results: Through factor analysis, three subfactors were extracted. Factor 1 contained copper and zinc in serum and revealed a common characteristic of the enzyme co-factor in the human body. Factor 2 involved urinary cadmium and arsenic, which are harmful metals related to kidney damage. Factor 3 encompassed blood mercury and lead, which are classified as related to cardiovascular disease. As a result of multiple linear regression analysis, it was found that using the factor index derived through factor analysis as an independent variable is more advantageous in assessing the relevance to health effects than when analyzing the two heavy metals by including them in a single regression model. Conclusions: The results of this study suggest that regression analysis linked with factor analysis is a good alternative in that it can simultaneously identify the effects of heavy metals with similar properties while overcoming multicollinearity that may occur in environmental epidemiologic studies on exposure to various types of heavy metals.

• 한국노년학
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• v.39 no.3
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• pp.467-484
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• 2019

The purpose of this study is to explore latent classes of longitudinal medical expenses of older people and to analyze its predictors and its effects on subjective health. Among participants of the Korean Health Panel, the sample of this study includes 1,119 people who is 65-year-old or older and reported their medical expenses for nine consecutive years. The analyses were conducted in three steps. First, Growth Mixture Model (GMM) was applied to find distinct subgroups showing similar patterns in medical expenses. The results showed four groups which were classified as high medical expenditure maintenance group, medical expenditure increase group, low medical expenditure maintenance group, and medical expenditure reduction group. Second, the multinominal logistic regression found that the presence of spouse, economic participation, the number of chronic diseases, and the type of health insurance were significant predictors of latent classes in medical expenses. In particular, the greater the number of chronic diseases, the higher the likelihood of belonging to the high medical expenditure maintenance group. In addition, medical benefit recipients are more likely to belong to the low medical cost maintenance and medical cost reduction groups. Third, multiple regression analysis revealed that the older people in the groups with low or reducing expenses reported better subjective health than people with higher expenses. This study has its meanings in exploring the heterogeneity in longitudinal medical expenses among older people and its predictors and its associations with health outcome. The results of this research provide background information in establishing public health policy for older people.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.6
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• pp.57-65
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• 2010

Physical activity of the people has decreased due to a sedentary lifestyle according to developing the economy throughout the world. It is thought to increase the risk of chronic diseases, including obesity, diabetes, etc. People are interested in walking, which is an easy activity to engage in as an antidote to chronic diseases. The aim of this study is to increase the diminishing physical activity of modem society by inducing walking as part of everyday life through building a walking-based activity-friendly city where people can live merrily, safely and pleasantly. For this purpose, this study conducted a satisfaction survey to dwellers of Jinhae on the physical pedestrian environments which affect determining walking participation and intentions of people, and also provided a valid model to evaluate the effects of the physical environmental factors on walking satisfaction using factor analysis and multiple linear regression analysis. The results are summarized as follows. The 18 variables of the physical pedestrian environments were selected based on pre-literature reviews. The results of the satisfaction surveys showed that the satisfaction of crossing aids in segments was highest, while the building feature was the lowest. Factor analysis was run through a two-step process. The first analysis was conducted to examine the adequacy of this factor analysis on the selected 18 variables. As a result, two variables were removed and the remaining 16 variables were extracted to the four factors by second analysis. Each factor was named function of path, effect of traffic, amenity and safety based on the each factor's commonality. Each factor score of the extracted four factors was set as the independent variable, while the overall walking satisfaction was set as the dependent variable. Then, the multiple linear regression analysis was conducted and showed that all four factors had a positive influence on the overall satisfaction of walking, especially the 'function of path' and 'amenity' factors, followed by 'effect of traffic' and 'safety'. The results of this research will be used as foundational data for creating a walking-based activity-friendly city.