• Journal of Digital Convergence
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• v.17 no.11
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• pp.279-288
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• 2019

The aim of this study was to identify the factors related to the practice of patient safety management (PSM) in nursing college students. The participants comprised 139 students in a nursing college. Data collection was conducted for five days from November 26, 2018 to November 30, 2018. The data were analyzed using descriptive statistics, paired t-test, independent t-tests, one-way analysis of variance (ANOVA), Pearson's correlation coefficient, and a multiple regression analysis. The total score for practice of PSM was $4.25{\pm}0.48$ out of a maximum of 5. Practice of PSM had a statistically significant relationship with attitude (r=.39, p<.001), confidence (r=.43, p<.001), and perception of the importance (r=.54, p<.001). The factors affecting practice of PSM were perception of the importance (${\beta}=.43$, p<.001) and confidence (${\beta}=.26$, p=.001); the explanatory power of the model was 38%. Therefore, it is necessary to include the perception of importance of PSM and confidence in the practice of PSM by nursing college students.

• 한국노년학
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• v.28 no.4
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• pp.1179-1200
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• 2008

Knowledge about somatization (somatic manifestation of psychological distress symptoms) among immigrant populations is limited. While several studies have recognized somatization as a culturally distinctive expression of depression amongst older Korean immigrant population, somatization has not been incorporated into the comprehensive empirical model for depression of this population. In order to improve our general understanding of the phenomenon, the objective of this study is to empirically investigate principal contributing factors of somatization as well as inter-relationships among them. Data were collected from a cross-sectional community survey of 234 older Korean immigrants ($$age{\geq_-}55$$) in the New York metropolitan area. The statistical methodology employed a robust hierarchical regression procedure that iteratively downweights outliers. The results indicated that living arrangement, greater numbers of physical illnesses, and depression were significant explanatory factors of somatization. Furthermore, physical illness had a significant joint effect with perception of health on somatization, which confirms that positive perception of health exerts a moderating effect on the relationship between physical illness and somatization. The knowledge obtained from this study will contribute toward extending our knowledge on somatization and implementing more culturally sensitive mental health services for this population.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.248-258
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• 2021

The study analyzed the financial determinants of corporate R&D intensity that require more attention from academics and practitioners in the Korean capital market. Domestic small and medium enterprises (SMEs) may face with developing substitutes by making more R&D investments in scale and scope, given the unprecedented economic conditions such as the limitation of importing core components and materials from other nation(s). KOSDAQ-listed SMEs were selected as sample data, whose R&D expenditures may be less than those of large firms during the post-global financial turmoil period (2010~2018). Static panel data model was applied, along with Tobit and stepwise regression models, for examining the validity of results. Logit, probit, and complementary log-log regressions were also employed for a relative analysis. R&D expenditures in the prior year, the interaction effect between the previous R&D intensity and high-tech sector, firm size, and growth rate were significant to determine R&D intensity. Moreover, a majority of explanatory variables were found to change between the years 2011 and 2018, while time-lagged effects between the R&D intensity and growth rate exist. Results of the study are expected to be used for future research to detect optimal levels of R&D expenditures for the value maximization of SMEs.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.157-167
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• 2021

This study is a descriptive research study to find out the relationship between degree of Self-Esteem, Anger-Out, Anger-In, Anger-Control and SNS Addiction Tendency of high school students, and the factors that influence SNS addiction tendency. For a total of 10 days from May 18 to 28, 2020, a total of 100 people were collected using online questionnaires to those who were attending high schools in S and G regions and using SNS. As a result of the study, SNS addiction tendency and self-esteem(r=.385, p<.001), anger-control(r=-.354, p<.001) showed a normal inverse correlation, and an anger-out (r=.321, p=.001), anger-in (r=308, p=.002) showed a common net correlation. Factors affecting SNS addiction tendencies were self-esteem(β=-.297, p=.001), gender(β=.266, p=.003), and anger-out(β=.247, p=.007), with 27.7% explanatory power in the regression model(F=12.279, p<.001). Therefore, it is necessary to develop programs to increase high school students' self-esteem and lower their anger-out in order to reduce SNS addiction tendencies, especially for female high school students in gender.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.469-482
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• 2022

The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.

• Smart Media Journal
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• v.11 no.5
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• pp.9-16
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• 2022

Recently, agricultural sites are automating into digital agricultural smart farms by applying technologies such as big data and Internet of Things (IoT). These smart farms aim to increase production and improve crop quality by measuring the environment of crops, investigating and processing data. Production prediction is an important study in smart farm digital agriculture, which is a high-tech agriculture, and it is necessary to analyze environmental data using big data and further standardized research to manage the quality of growth information data. In this paper, environmental and production data collected from smart farm strawberry farms were analyzed and studied. Based on regression analysis, crop production prediction models were analyzed using Ridge Regression, LightGBM, and XGBoost. Among the three models, the optimal model was XGBoost, and R2 showed 82.5 percent explanatory power. As a result of the study, the correlation between the amount of positive fluid absorption and environmental data was confirmed, and significant results were obtained for the production prediction study. In the future, it is expected to contribute to the prevention of environmental pollution and reduction of sheep through the management of sheep by studying the amount of sheep absorption, such as information on the growing environment of crops and the ingredients of sheep.

• Journal of Preventive Medicine and Public Health
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• v.55 no.5
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• pp.428-435
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• 2022

Objectives: The Indonesian Ministry of Health launched isoniazid preventive therapy (IPT) in 2016, with general practitioners (GPs) at the frontline of this program. However, the extent to which GPs have internalized this program remains uncertain. The aim of this study was to identify the knowledge and attitudes of GPs towards the IPT program in Indonesia. Methods: This study used an online, self-administered questionnaire distributed via e-mail and social messaging services. A logistic regression model was employed to identify the explanatory variables influencing the level of knowledge and attitudes toward IPT among GPs in Indonesia. An empirical analysis was conducted separately for each response variable (knowledge and attitudes). Results: Of the 418 respondents, 128 (30.6%) had a good knowledge of IPT. Working at a public hospital was the only variable associated with good knowledge, with an adjusted odds ratio (aOR) of 1.69 (95% confidence interval [CI], 1.02 to 2.81). Furthermore, 279 respondents (66.7%) had favorable attitudes toward IPT. In the adjusted logistic regression analysis, good knowledge (aOR, 0.55; 95% CI, 0.34 to 0.89), 1-5 years of work experience (aOR, 2.09; 95% CI, 1.21 to 3.60), and having experienced IPT training (aOR, 0.48; 95% CI, 0.25 to 0.93), were significantly associated with favorable attitudes. Conclusions: In general, GPs in Indonesia had favorable attitudes toward IPT. However, their knowledge of IPT was limited. GPs are an essential element of the IPT program in the country, and therefore, adequate information dissemination to improve their understanding is critical for the long-term viability and quality of the IPT program in Indonesia.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.315-322
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• 2020

This study was carried out to provide basic data for prevention of burnout by measuring levels of self-efficacy, social support and burnout that nursing students experienced during clinical practice and identifying factors influencing burnout. This is a descriptive research targeting 173 junior- and senior-year nursing students in Y area, and data were collected from October 15^th to November 4^th 2019. For data analysis, frequencies and percentages were calculated, and t-test and ANOVA were conducted along with the Scheffé test as a post-test. In addition, Pearson's correlation coefficients and multiple regression analysis were employed. The study results are as follows. There were significant differences in self-efficacy, social support and burnout depending on grades(t= -2.20, p=.029) and major satisfaction(F=3.62, p=.029) among general characteristics of nursing students. When analyzing correlations among self-efficacy, social support and burnout of nursing students, there was a positive correlation between self-efficacy and social support(r=.214, p=.005), a negative correlation between burnout and self-efficacy(r=-.253, p<.001) and a negative correlation between burnout and social support(r=-.175, p=.021). Major satisfaction(β= -.21, p=.006) had the biggest influence on burnout, and it was followed by self-efficacy(β= -.16, p=.032) and social support(β= -.15, p=.047). The explanatory power of the model was 13.8 percent. In conclusion, it is required to improve university life satisfaction and clinical practice satisfaction and develop programs, which enhance social support and self-efficacy, for preventing burnout of nursing students during clinical practice.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.111-123
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• 2022

The purpose of this study is to investigate the influences of leisure satisfaction and burnout on job satisfaction of clinical nurses. The Data were collected the questionnaires consisted of general characteristics, leisure-related characteristics, leisure satisfaction, and burnout, and job satisfaction. For leisure satisfaction, the relaxation factor(16.57±2.68) was the highest among the sub-domains, and physical exhaustion(23.50±3.42) was the most severe for burnout. Leisure satisfaction and job satisfaction showed a positive correlation(r=.16, p=.013), and leisure satisfaction and burnout showed a negative correlation (r=-.19, p=.003). As factors related to job satisfaction, burnout(β=-0.68, p<.001) and ER(β=-0.12, p=.014) were found, and the total explanatory power was 47.0%, of which 44.0% was burnout. The model was found to be statistically significant(F=52.26, p<.001). The results of the study were as follows, a plan to improve leisure activities and leisure satisfaction is needed to reduce burnout. Through this, we aim to help improve the quality of life of clinical nurses.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.161-169
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• 2022

The purpose of this study performed to confirm the effect of caffeine intake and stress on sleep quality of college students. Research respondents and data collection were conducted on 269 college students through Google questionnaires from February 14 to March 13, 2022, and the research design is a descriptive survey study. Statistical analysis was performed using the SPSS 27.0 version as t-test and one way ANOVA. As a result of the study, it was found that most college students consume more caffeine than the average daily caffeine intake of Korean adults, although it is far below the recommended daily caffeine intake of Korean adults. The quality of sleep of college students is stress (r=.32, p=<).001) and caffeine intake (r=.204, p=.001). It was found that there was a positive correlation. Factors affecting sleep quality are body mass index (β=.1.19, p<.001) Stress (β=.3.37, p<.001), smoking (β=-.18, p=.001), caffeine intake (β=.15, p=.005) It was in order, and the explanatory power of the model was 24.8%.