The purpose of this study was to investigate the menstrual pain, clinical practice stress, and clinical competence and identify influencing factors of clinical competence of 3rd nursing students who start clinical practice for the first tim. The survey was conducted on 155 nursing students from June 1 to October 30, 2020. Data were analyzed using t-test, ANOVA, Scheffe test, Pearson correlation coefficients and multiple regression analysis. The degree of influence menstrual pain was 5.01points, clinical practice stress was 2.82points, clinical competence was 3.42points. Menstrual pain was positive correlated with clinical practice stress(r=.319, p=.000), and menstrual pain was negative correlated with clinical competence(r=-.279, p=.000). Clinical practice stress was negative correlated with clinical competence(r=-.333, p=.005). Menstrual pain was main factor that affects clinical competence. The model explained 25.0% of the variables. Therefore, intervention education is needed to reduce menstrual pain in order to improve the clinical competence of nursing students.
This descriptive survey aimed to investigate the health promotion behaviors of patients with reflux esophagitis and identify the factors influencing it using the health promotion model. The survey was conducted with 178 outpatients diagnosed with reflux esophagitis at C university hospital. Data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression using SPSS win ver 20. We found that alcohol consumption, BMI, perceived benefit, internal control level, and perceived health status of the patients are significant factors influencing health promotion behavior. The explanatory power was 49%. Therefore, this study is consistent with previous studies that elucidated that changing lifestyle behaviors and obesity control are necessary to alleviate reflux esophagitis. Based on these findings, we propose to develop and apply an educational program for evaluation.
Purpose - This study investigates whether a listing effect exists in cross-border M&As and whether the effect can be attributed to the uncertainty of the GDP growth rate in the target firm's home country. We apply a joint variable analysis using M&A announcement data from the Korea Exchange (KRX), Shanghai Stock Exchange (SSE), and the Taiwan Stock Exchange (TWSE) from 2004 to 2013. We also conduct an event study using the measure of the uncertainty of the GDP growth rate (based on IMF statistics) in 55 target countries. Design/methodology - We measure the abnormal return (AR) using the market-adjusted model. We test the significance of the AR and the cumulative abnormal return (CAR) using a one-sample t-test. We examine the characteristics of the CARs depending on whether the target company is listed by applying a difference analysis using CAR as a test variable. In addition, we set CAR (-5, +5) as a dependent variable to identify the cause of the listing effect, and test both the financial characteristic variables of the acquirer and the collective characteristic variables of the merger as independent variables in the multiple regression analysis. Findings - First, we find the listing effect of cross-border M&As in the KRX, SSE, and TWSE, which represent the capital markets in Korea, China, and Taiwan, respectively. This listing effect persists during the global financial crisis and has a negative effect on the wealth of acquiring shareholders, especially when the target countries are emerging markets. Second, greater uncertainty regarding the target countries' economic growth in cross-border M&As has a negative effect on the wealth of acquiring firms' shareholders. Third, our empirical analysis demonstrates that the listing effect is attributable to the fact that firms listed in a target country with greater uncertainty of economic growth are more directly and greatly exposed to uncertain capital markets through stock markets, than are unlisted firms. Originality/value - This study is significant in that it presents a new strategic perspective in the study of cross-border M&As by demonstrating empirically that the listing effect is attributable to the uncertainty regarding the economic development of the target firms' home countries.
Journal of Korea Society of Digital Industry and Information Management
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v.18
no.4
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pp.97-110
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2022
The purpose of this study is to analyze the level of public data convergence capabilities of administrative organizations and to explore important variables in data-based organizational capabilities. The theoretical background was summarized on public data and use activation, joint use, convergence, administrative organization, and convergence constraints. These contents were explained Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. The research model was set as the data-based organizational capabilities effect by a data-based administrative capability, public data operation capabilities, and public data operation constraints. It was also set whether there is a capabilities difference data-based on an organizational operation by the level of data convergence capabilities. This study analysis was conducted with hierarchical cluster analysis and multiple regression analysis. As the research result, First, hierarchical cluster analysis was classified into three groups. It was classified into a group that uses only public data and structured data, a group that uses public data on both structured and unstructured data, and a group that uses both public and private data. Second, the critical variables of data-based organizational operation capabilities were found in the data-based administrative planning and administrative technology, the supervisory organizations and technical systems by public data convergence, and the data sharing and market transaction constraints. Finally, the essential independent variables on data-based organizational competencies differ by group. This study contributed. As a theoretical implication, this research is updated on management information systems by explaining the Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. As a practical implication, the activity reinforcement of public data should be promoting the establishment of data standardization and search convenience and elimination of the lukewarm attitudes and Selfishness behavior for data sharing.
Journal of the Korea Fashion and Costume Design Association
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v.24
no.2
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pp.59-72
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2022
The online fashion market in the 21st century has shown rapid growth. Against this backdrop, using consumer activity data to provide customized customer services has emerged as a viable business model that draws attention. Algorithm-based personalized recommendation services are a good example. But their application in fashion products has clear limitations. It is not easy to identify consumers' perceptions of the attributes of fashion, which are various, hard to define, and very sensitive to trends. So there is a need to compile data on consumers' underlying awareness and to carry out defined research to increase the utilization of such services in the fashion industry and further engage consumers. This research aims to classify the attributes and types of fashion products and to identify consumers' perceptions of a given situation where a recommendation service is offered. To find out consumers' perceptions of and satisfaction with recommendation services, an online and mobile survey was conducted on women in their 20s and 30s, a group that uses recommendation services frequently. A total of 455 responses were used for analysis. SPSS 28.0 was used, combined with Conjoint Analysis and multiple regression, to analyze data. The study results could provide insights into a better understanding of recommendation services and be used as basic data for companies to identify consumers' preferences and draw up a detailed strategy for market segmentation.
The Journal of Korean Society for School & Community Health Education
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v.23
no.2
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pp.51-64
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2022
Objectives: This study aims to examine diabetic patients' quality of life by using the data of the 8th Korea National Health and Nutrition Examination Survey (1st year, 2019), identify the factors related to this, and utilize the results as basic data for intervention that can improve diabetic patients' quality of life. Methods: For the research subjects, this study extracted 624 patients who were diagnosed with Diabetes by a doctor from the total sample of 8,110 participants of the 8th Korea National Health and Nutrition Examination Survey. The SPSS(version25.0) program was used for the analysis of the collected data. Then, this study used a backward elimination multiple regression analysis method that applied complex sample, to examine the factors related with the finally estimated quality of life. Results: The results of this study revealed that diabetic patients' quality of life was related with gender, age, occupation, restriction of activity, subjected health status. The final model explained 35.7% of the variance (Wald F=28.210, p<.001). Conclusions: In order to improve the quality of life of diabetic patients, it would be desirable to provide differentiated management by developing a customized intervention strategy that takes into account gender, age, and occupation. When managing diabetic patients, the state, local governments, and hospitals should include content that prevents and copes with restrictions on activities that may occur due to disease. In addition, it is required to prepare a strategy to induce positive perception of the subject's own health status.
International Journal of Computer Science & Network Security
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v.22
no.3
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pp.67-76
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2022
COVID-19 struck labor markets around the world, exposing and exacerbating the gender inequalities within the human capital structure. The last, in its turn, jeopardizes the return of the national economies to the growth trajectory undermined by pandemic impact. The authors assume that COVID-19 disproportionately affected the employment rates of women and men, which led to increased gender inequality in the labor market, which, in turn, affected GDP growth rates in the EU. To prove this hypothesis two research questions are discovered: 1) whether there was a different correlation between the number of COVID-19 cases in the EU and indicators of the labor market for women and men; and 2) whether there was a link between the growth of gender inequality in the EU labor market and the GDP dynamics in these countries. The analysis of the correlation between the number of cases of COVID-19 and indicators of the labor market in the EU revealed faster growth of women's unemployment rates compared to men's ones as the COVID-19 incidence unfolded. Multiple linear regression and factor analysis have been used to investigate the influence of gender inequality in the labor market on GDP dynamics. Despite the methodological limitations, the proposed model is both a sound argument and an analytical basis in favor of gender-responsive economic recovery backed by the systematic and consistent gender equality policy of a government.
BACKGROUND/OBJECTIVES: This study examined the changes in food behaviors of dietary fatty acids over 2007-2018 among Korean adults. SUBJECTS/METHODS: This study used data from the 4th (2007-2009), 5th (2010-2012), 6th (2013-2015), and 7th (2016-2018) Korea National Health and Nutrition Examination Surveys. A total of 46,307 adults aged 19-64 yrs were selected and dietary data were obtained from a single 24-h recall. In the 4th and 7th data, the major food sources for each fatty acid based on the contributing percentage of the food item were compared. The consumption trends in the major food sources were presented as grams per day over 2007-2018 and compared across the survey periods using the multiple regression model. RESULTS: From 2007 to 2018, for total fat, saturated fatty acid (SFA), and monounsaturated fatty acid, the contribution of animal food sources, including beef, chicken, and eggs increased but plant food sources (e.g., tofu, soybean, and plant oil) decreased. As polyunsaturated fatty acid sources, mayonnaise, eggs, and bread showed higher contributions, whereas soybean and tofu showed lower contributions in the 7th data compared to the 4th data. For n-3 fatty acids, the contribution of fish decreased between the 4th and 7th data. Over 12 yrs, the significant increases in the absolute amount of consumption from animal sources were observed. In contrast, decreases in the consumption from plant sources and fish were seen across the survey periods. CONCLUSIONS: In Korean adults, increases in the intake of dietary fatty acids along with changes in the food behaviors during 2007-2018 have evoked great concern for SFA intake, which is a cardiovascular disease risk factor. Healthy food sources of dietary fatty acids should be emphasized in this population.
Objectives: This study analyzes factors related to English communication skills in the dental health services of clinical dental hygienists who provide dental medical services to foreigners. Methods: Surveys were conducted to measure students' English communication skills. Participants comprised 195 clinical dental hygienists working at dental English study cafes or who provided dental medical services to foreigners. After analyzing the differences in English communication skills, hierarchical multiple regression analysis was performed on the factors related to English communication skills. Results: English communication skill of dental hygienists was 1.96 points out of 5 points. The factors related to the English communication skill of the clinical dental hygienists were foreign patient care, language training experience, overseas living experience, and certified English proficiency. The adjusted explanatory power of this model was 53.0%. Conclusions: Dental hygienists in charge of foreign patients have experience in language training and overseas residence, have a language qualification certificate, and have higher English communication skills. It is necessary to develop English language learning programs based on metaverse to develop the English communication skills of dental hygienists who provide dental health services to foreign patients and to operate a creative educational environment to increase interest in learning English.
Purpose: Eating behaviors are influenced by food environments, such as availability and/or accessibility of healthy food options. In this study, we examined the relationship between healthy eating-out options and the intention to eat healthily in adults residing in Daqing, China, using an extended theory of planned behavior (TPB). Methods: Data were collected via an online survey conducted from April to May 2021 using a previously validated questionnaire in Daqing. A total number of 308 subjects aged 18-64, either Daqing oilfield workers or their family members were eligible and finally included in the analysis. The relationships among the attributes and the quality of healthy eating-out options, the three major constructs of TPB, and the intentions of healthy eating were examined using multiple linear regression analyses. Results: Subjective norms (p = 0.049) and perceived behavioral control (PBC) (p = 0.000) were significantly related to the healthy eating intention. The quality and attributes of the food served statistically significantly explained the intention to eat healthily. After controlling for age, sex, and body mass index, not the quality but the attributes of food served (p = 0.037), subjective norms (p = 0.016), and PBC (p = 0.000) had a significant relationship with the intention to eat healthily. The model explained 83.7% of the variance. Conclusion: The healthy eating-out choices, along with subjective norms and PBC of TPB, may be a potential determinant of healthy eating intention among Chinese adults living in Daqing, China. Policy implications have highlighted that not only the personal intention to eat healthy foods, but also the available healthy food environment may be important for the choice of healthy options by the population of interest. Therefore, building an environment for healthy eating choices and campaigns aimed at increasing consumer awareness of healthy eating are equally important for a smart eating choice.
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