• Journal of Korean Public Health Nursing
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• v.36 no.1
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• pp.59-74
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• 2022

Purpose: This study aimed to identify the factors affecting the emergency response ability to develop an education program to strengthen the emergency response ability of caregivers having the highest probability of discovering emergency situations. Methods: This study is a descriptive research study conducted by 204 caregivers working in elderly care facilities and home care centers located in one area. The collected data were analyzed by independent t-test, one-way analysis of variance (ANOVA), Pearson's correlation, and multiple linear regression using the Statistical Package for the Social Sciences (SPSS) 25.0 statistical program. Results: First aid knowledge was related to work time (F=3.52, p=.008), number of care people (F=2.58, p=.038), workplace (F=6.76, p=.001), and self-efficacy (F=3.70, p=.026), and the ability to cope with emergency situations showed a statistically significant difference in education level (F=3.58, p=.015). There was a positive correlation between self-efficacy and emergency response ability (r=.179, p<.05), and the factors affecting emergency response ability were education level (β=-.164, p=.050), workplace (β=.290, p=.023), and self-efficacy (β=.103, p=.022). Conclusion : Factors influencing the improvement of caregivers' ability to cope with emergency situations, workplace, education level, and self-efficacy were found. Thus, it is suggested to develop and apply an emergency education program to increase self-efficacy and consider the workplace and educational level.

• Journal of Preventive Medicine and Public Health
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• v.55 no.4
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• pp.398-406
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• 2022

Objectives: While the risk of depression is expected to substantially increase among older adults receiving community care, leisure life satisfaction can be regarded as a key component in enhancing the mental health of those receiving community care. However, it is not yet known whether community care utilization increases the risk of depression, or what role is played by leisure life satisfaction in these settings. This study investigated the relationship between community care utilization and depression, as well as the main effect and the moderating role of leisure life satisfaction on the link between community care utilization and depression among older adults. Methods: This study, using the 2019 Korean Welfare Panel Survey, conducted multiple regression analysis on data from 4494 elderly people aged 65 years or older. Results: After controlling for potential covariates, older community care recipients were more likely to report symptoms of depression than those who did not receive community care. Meanwhile, leisure life satisfaction was negatively associated with depression in older adults. The test for interaction between community care utilization and leisure life satisfaction revealed that leisure life satisfaction significantly attenuated the link between depression and community care utilization. Conclusions: The findings of this study imply that leisure life satisfaction could play a meaningful role in improving the mental health of older adults receiving community care. Welfare policies affecting older adults should consider leisure life satisfaction as an important resource for reducing depression in community care settings.

• Journal of Korean Academy of Dental Administration
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• v.9 no.1
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• pp.51-60
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• 2021

The purpose of this study is to examine the importance of healthy attachment formation by examining the effects of dental hygiene students' adult attachment patterns on depression, self-esteem, empathy, and career choice, and to present basic data for career guidance that considers individual characteristics. Students enrolled in the dental hygiene department at a university in Daejeon were the subjects of this study, and data were collected from September 14 to October 14, 2020 through self-reported questionnaires. Frequency analysis, ANOVA, correlation analysis, and multiple regression analysis were performed. As a result of classifying adult attachment styles into three types, out of a total of 158 people, 62 (39.2%) had the avoidant attachment style, 56 (35.4%) had the secure attachment style, and 40 (25.3%) had the anxious-ambivalent attachment style appear. Self-esteem according to attachment type (F=26.224, p<0.0001), empathy (F=3.944, p<0.05), depression (F=12.702, p<0.0001), career indecisiveness (F=4.367, p<0.05). Based on the results of identifying the sub-factors that affect the dental hygiene and adult attachment styles of students with depression, self-esteem, empathy and career choice, this study intends to use them as reference materials for career decision taking into account individual characteristics.

• Journal of Engineering Education Research
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• v.25 no.1
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• pp.12-21
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• 2022

The College of engineering's capstone design is student-team-centred learning based on project-based learning and is one of the most important courses for students aiming to be competent professional engineers capable of solving real industrial problems. Therefore, in order to resolve the capstone problems, various face-to-face contacts such as frequent industrial site visits, multiple meetings with diverse people including team members, and repeated contacts with course-supervising and team-advising professors are prerequisite processes. However, according to the transition to fully online education due to the global pandemic of COVID-19, capstone design courses for 2020 and 2021 were also conducted online. Based on the modified students' evaluations of educational quality (SEEQ) with 3 perspectives such as curriculum, teaching-staff and students themselves, this study compares their evaluations of offline capstone designs from 2013 to 2019 and online capstone designs in 2020 and 2021 in the context of COVID-19. In 3 perspectives, the difference in students' evaluation of the online capstone between the beginning and the end of the course shows a positive effect, which is better than the offline capstone. Also, in various dimensions for each perspective, the online capstone shows a better evaluation than the offline capstone. These findings suggest that the online capstone design curriculum can be expected to have educational effects as well as students' satisfaction with the online curriculum in the future.

• Journal of Korean Biological Nursing Science
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• v.24 no.3
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• pp.181-189
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• 2022

Purpose: This study was conducted to identify the factors influencing sleep among Korea adolescents. Methods: This was a secondary data analysis of the 7th-8th National Health and Nutrition Survey 2016-2020. Participants were 1,984 people age 12-18. Data were analyzed using frequency, percentage, χ² test, and complex sample multiple logistic regression analysis. Results: The risk of sleeping more than 10 hours was 2.50 times higher in normal subjects, than subjects underweight in body weight perception (95% CI= 1.29-4.81). The risk of sleeping more than 10 hours was 2.10 times higher in overweight subjects, than subjects underweight in body weight perception (95% CI= 1.14-3.87). The risk of sleeping less than 8 hours was 1.36 times higher in subjects high in stress status, than subjects low in stress status (95% CI= 1.05-1.75). The risk of sleeping more than 10 hours was 1.99 times higher in subjects who had not eaten, than subjects who had been eating breakfast (95% CI= 1.11-3.55). Conclusion: Thus, it is necessary to intensify sleep management required through proper health behavior as well as the mental health management of adolescents and improvement in eating behavior.

• Child Health Nursing Research
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• v.28 no.2
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• pp.124-131
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• 2022

Purpose: A tobacco-free campus (TFC) is the most advanced tobacco-control policy for college campuses, but it has rarely been explored in Korea. This study aimed to explore Korean college students' attitudes toward TFC and related factors. Methods: This cross-sectional descriptive study enrolled college students who were taking an elective course on smoking cessation and a healthy lifestyle at a university located in Incheon, Korea. Data were collected from March 1 to December 31, 2019 using a structured questionnaire, and study participants were recruited using convenience sampling. Results: Data on 309 college students were analyzed. Of those participants, 6.1% supported the TFC policy. Multiple logistic regression analysis showed that female gender (adjusted odds ratio [aOR]=5.80, 95% confidence interval [CI]=1.47-22.95), taking the course to quit smoking oneself (aOR=11.03, 95% CI=1.04-117.05), anxiety in the past month (aOR=4.27, 95% CI=1.06-17.31), and being a current smoker (aOR=0.06, 95% CI=0.01-0.70) were statistically significant independent predictors of TFC support. Conclusion: Women, students taking the course to quit smoking themselves, nonsmokers, and students who felt anxious in the past month were more likely to support TFC. Further research with more representative samples is required to examine the characteristics of people who favor TFC.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.316-326
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• 2022

The prompt development in the field of video is the outbreak of online services which replaces the television media within a shorter period in gaining popularity. The online videos are encouraged more in use due to the captions displayed along with the scenes for better understandability. Not only entertainment media but other marketing companies and organizations are utilizing videos along with captions for their product promotions. The need for captions is enabled for its usage in many ways for hearing impaired and non-native people. Research is continued in an automatic display of the appropriate messages for the videos uploaded in shows, movies, educational videos, online classes, websites, etc. This paper focuses on two concerns namely the first part dealing with the machine learning method for preprocessing the videos into frames and resizing, the resized frames are classified into multiple actions after feature extraction. For the feature extraction statistical method, GLCM and Hu moments are used. The second part deals with the deep learning method where the CNN architecture is used to acquire the results. Finally both the results are compared to find the best accuracy where CNN proves to give top accuracy of 96.10% in classification.

• ETRI Journal
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• v.44 no.2
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• pp.300-312
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• 2022

Recently, public safety services have attracted significant attention for their ability to protect people from crimes. Rapid detection of dangerous situations (that is, abnormal situations where someone may be harmed or killed) is required in public safety services to reduce the time required to respond to such situations. This study proposes a novel danger detection technology based on multimodal data, which includes data from multiple sensors (for example, accelerometer, gyroscope, heart rate, air pressure, and global positioning system sensors), and multilog data, which includes contextual logs of humans and places (for example, contextual logs of human activities and crime-ridden districts) over time. To recognize human activity (for example, walk, sit, and punch), the proposed technology uses multimodal data analysis with an attitude heading reference system and long short-term memory. The proposed technology also includes multilog data analysis for detecting whether recognized activities of humans are dangerous. The proposed danger detection technology will benefit public safety services by improving danger detection capabilities.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.77-86
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• 2022

The destructive impact of contagious diseases outbreaks on all life facets necessitates developing effective solutions to control these diseases outbreaks. This research proposes an end-to-end, data-driven platform which consists of multiple modules that are working in harmony to achieve a concrete goal: early detection of contagious diseases outbreaks (i.e., epidemic diseases detection). Achieving that goal enables decision makers and people in power to act promptly, resulting in robust prevention management of contagious diseases. It must be clear that the goal of this proposed platform is not to predict or forecast the spread of contagious diseases, rather, its goal is to promptly detect contagious diseases outbreaks as they happen. The front end of the proposed platform is a web-based dashboard that visualizes diseases outbreaks in real-time on a real map. These outbreaks are detected via another component of the platform which utilizes data mining techniques and algorithms on gathered datasets. Those gathered datasets are managed by yet another component. Specifically, a mobile application will be the main source of data to the platform. Being a vital component of the platform, the datasets are managed by a DBMS that is specifically tailored for this platform. Preliminary results are presented to showcase the performance of a prototype of the proposed platform.

• Journal of Korean society of Dental Hygiene
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• v.22 no.5
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• pp.355-363
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• 2022

Objectives: This study aimed to assess the relationship between oral symptoms and changes in daily life after coronavirus disease (COVID-19) in middle and high school students. Methods: Data were obtained from the 17th Korea Youth Risk Behavior Survey (2021). The subjects comprised 53,868 people who responded to survey questions related to this study. Multiple logistic regression analysis with complex samples was performed to identify the correlation between daily life changes and oral symptoms. Results: The analysis showed that compared to the group without changes in daily life after COVID-19, changes in daily life, such as skipping breakfast, drinking, and smoking, either decreased or increased. Furthermore, increase in depression and decreased physical activity and family economic status were related to oral symptoms. Conclusions: It is necessary to develop oral health programs for adolescents suitable for changing situations after COVID-19.