• Women's Health Nursing
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• v.29 no.4
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• pp.274-290
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• 2023

Purpose: This study investigated the effects of prenatal education characteristics, pandemic-related pregnancy stress, and health behaviors during pregnancy on prenatal depression in pregnant women during the coronavirus disease 2019 (COVID-19) pandemic. Methods: The participants were 180 pregnant Korean women, recruited from internet communities for pregnancy preparation, childbirth, and childcare, from July 5 to 15, 2022. The collected data were analyzed using the t-test, analysis of variance, the Mann-Whitney U-test, the Kruskal-Wallis test, and multiple regression analysis. Results: The scores for pandemic-related pregnancy stress (24.50±6.37) and health behaviors during pregnancy (67.07±9.20) were high. Nearly half of the participants (n=89, 49.4%) presented with prenatal depression, with scores of 10 or greater. Prenatal depression had a positive correlation with gestational age (r=.18, p=.019) and pandemic-related pregnancy stress (r=.27, p<.001), and a negative correlation with health behaviors during pregnancy (r=-.42, p<.001). The factors associated with prenatal depression were pandemic-related pregnancy stress (t=4.70, p<.001), marital satisfaction (dissatisfied) (t=3.66, p<.001), pregnancy healthcare practice behaviors (t=-3.31, p=.001), family type (weekend couple) (t=2.84, p=.005), and gestational age (t=2.32, p=.022). The explanatory power of these variables was 38.2%. Conclusion: Since participants had a high level of prenatal depression during the pandemic, and infectious diseases such as COVID-19 may recur, strategies should be developed to improve pregnant women's mental health with consideration of the unique variables that are relevant in a pandemic. It is also necessary to develop efficient online prenatal education programs that can be implemented even in special circumstances such as social distancing, and to evaluate their effectiveness.

• Korean Journal of Hospice Care
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• v.7 no.2
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• pp.15-25
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• 2007

The purpose of this study was to survey the hospital staff's perception of hospice and death and thereby, suggest the ways to help them have a mature attitude towards and a better understanding of death through an effective education on hospice. For this purpose, this study was designed to provide some data useful for the hospital staff not experienced in facing the dying patients to handle the desperate situation skillfully and engage themselves more effectively in their hospice services. For this study, the researcher conducted a questionnaire survey for the staff of 'C' hospital in Seoul about their hospice philosophy, attitudes towards hospice and perception of death for the period from February, 2006 to March, 2006. A total of 751 subjects responded effectively to the survey. The data collected were analyzed using the SF55 11.0 for ANOVA and T-test in order to test the relationships among subjects' perception of death, their demographic variables, their health condition, their hospice philosophy formed from their experiences of patients' death and hospice services and their attitudes towards hospice. Besides, the correlations among their hospice philosophy, perception of death and attitudes towards hospice were tested. The results of this study can be summarized as follows; First, as a result of testing the relationships among subjects' experiences of health consulting. their experiences of patients' death and hospice and their hospice philosophy, it was confirmed that their experiences of health and death consulting and their experiences of having been educated were relevant. Second, it was found that such variables as health condition, death, experience of hospice and attitude towards hospice were not significantly correlated with each other. Third, as a consequence of testing the relationships among health condition, death, experience of hospice and perception of death, it was disclosed that only the physical health condition was significant. Fourth, it was confirmed that subjects' hospice philosophy, perception of death and attitudes towards hospice were at the usual level on average. Fifth, hospice philosophy, perception of death and attitudes towards hospice were found correlated significantly with each other. Sixth, as a result of the stepwise variable adjustment for such variables as hospice philosophy, perception of death, attitudes towards hospice, it was found that the adjusted r-square value was 0.347 when departments, experience of having been requested by dying patient for consulting, experience of having been educated on hospice, religion and marital status were set as independent variables. And the estimated value of each variable was found significant. Seventh, as a consequence of conducting the multiple regression analysis by setting 'religion' as significant independent variable, it was found that the estimated value of physical health condition was not significant statistically. This, as a result of the simple regression analysis for 'religion' only, its explanatory power was found .197, while its adjusted r-square value was 0.20. Eight, it was found that subjects' attitude towards hospice was significantly correlated with such variables of experience of patient's or relative's death, experience of having been requested for consulting about death, gender, marital status and departments. As a result of the multiple regression analysis and the subsequent stepwise adjustment for this variable, it was found that only 'experience of having been requested for consulting' had some explanatory power: its adjusted r-square value was 0.089. As discussed above, this study tested the correlations among various variables including hospital staff's attitude towards hospice and perception of death and thereby, provided for the data useful for their education on hospice. This study may be significant in that it proved that it would be essential to educate hospital staff on hospice for more effective care of hospice patients and their family members at hospital.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.111-124
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• 2018

This study aims to develop a classification model for predicting the occurrence of hyperlipidemia, one of the chronic diseases. Prior studies applying data mining techniques for predicting disease can be classified into a model design study for predicting cardiovascular disease and a study comparing disease prediction research results. In the case of foreign literatures, studies predicting cardiovascular disease were predominant in predicting disease using data mining techniques. Although domestic studies were not much different from those of foreign countries, studies focusing on hypertension and diabetes were mainly conducted. Since hypertension and diabetes as well as chronic diseases, hyperlipidemia, are also of high importance, this study selected hyperlipidemia as the disease to be analyzed. We also developed a model for predicting hyperlipidemia using SVM and meta learning algorithms, which are already known to have excellent predictive power. In order to achieve the purpose of this study, we used data set from Korea Health Panel 2012. The Korean Health Panel produces basic data on the level of health expenditure, health level and health behavior, and has conducted an annual survey since 2008. In this study, 1,088 patients with hyperlipidemia were randomly selected from the hospitalized, outpatient, emergency, and chronic disease data of the Korean Health Panel in 2012, and 1,088 nonpatients were also randomly extracted. A total of 2,176 people were selected for the study. Three methods were used to select input variables for predicting hyperlipidemia. First, stepwise method was performed using logistic regression. Among the 17 variables, the categorical variables(except for length of smoking) are expressed as dummy variables, which are assumed to be separate variables on the basis of the reference group, and these variables were analyzed. Six variables (age, BMI, education level, marital status, smoking status, gender) excluding income level and smoking period were selected based on significance level 0.1. Second, C4.5 as a decision tree algorithm is used. The significant input variables were age, smoking status, and education level. Finally, C4.5 as a decision tree algorithm is used. In SVM, the input variables selected by genetic algorithms consisted of 6 variables such as age, marital status, education level, economic activity, smoking period, and physical activity status, and the input variables selected by genetic algorithms in artificial neural network consist of 3 variables such as age, marital status, and education level. Based on the selected parameters, we compared SVM, meta learning algorithm and other prediction models for hyperlipidemia patients, and compared the classification performances using TP rate and precision. The main results of the analysis are as follows. First, the accuracy of the SVM was 88.4% and the accuracy of the artificial neural network was 86.7%. Second, the accuracy of classification models using the selected input variables through stepwise method was slightly higher than that of classification models using the whole variables. Third, the precision of artificial neural network was higher than that of SVM when only three variables as input variables were selected by decision trees. As a result of classification models based on the input variables selected through the genetic algorithm, classification accuracy of SVM was 88.5% and that of artificial neural network was 87.9%. Finally, this study indicated that stacking as the meta learning algorithm proposed in this study, has the best performance when it uses the predicted outputs of SVM and MLP as input variables of SVM, which is a meta classifier. The purpose of this study was to predict hyperlipidemia, one of the representative chronic diseases. To do this, we used SVM and meta-learning algorithms, which is known to have high accuracy. As a result, the accuracy of classification of hyperlipidemia in the stacking as a meta learner was higher than other meta-learning algorithms. However, the predictive performance of the meta-learning algorithm proposed in this study is the same as that of SVM with the best performance (88.6%) among the single models. The limitations of this study are as follows. First, various variable selection methods were tried, but most variables used in the study were categorical dummy variables. In the case with a large number of categorical variables, the results may be different if continuous variables are used because the model can be better suited to categorical variables such as decision trees than general models such as neural networks. Despite these limitations, this study has significance in predicting hyperlipidemia with hybrid models such as met learning algorithms which have not been studied previously. It can be said that the result of improving the model accuracy by applying various variable selection techniques is meaningful. In addition, it is expected that our proposed model will be effective for the prevention and management of hyperlipidemia.

• Korean Journal of Social Welfare
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• v.58 no.4
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• pp.141-168
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• 2006

The present study explored and compared the risk factors of two subtypes of maritally violent men with those of a nonviolent comparison group. One type of batterers consisted of a community sample, and the other was sought from the criminal justice system. The identities of the male community batterers were not exposed to the society since their victims did not contact any of the social service agents related to domestic violence. To identify the different characteristics associated with two subtypes of woman abusers, a total of 152 nonviolent men, 82 male community batterers, and 336 offenders in a criminal justice system were considered. The results of the descriptive analysis showed that the level of physical violence of the community batterers was two times lower than that of the batterers who received legal punishments. The results of the multinominal logistic regression were as follows: (1) The variables that distinguished the male community batterers from the nonviolent men were the use of physical violence towards children, marital decision power, and income. (2) Four factors had been found to distinguish batterers in the criminal justice system from nonbatterers, namely: attitudes towards woman battering, education, violence towards children, and level of jealousy. (3) The community batterers showed a higher level of education and of stress as well as a longer period of marital relationship compared to the batterers in the criminal justice system. On the other hand, the batterers who received legal punishments had more severe alcohol problems and had an accepting attitude towards the use of violence. This study also investigated psychopathology among batterers using MCMI-III, based on 333 subjects. In terms of the mean scores, there were no subscales associated with personality pathology in all the male groups. Based on the logit model, the community batterers showed a stronger tendency towards having a passive-aggressive personality than did their counterparts, and they recorded a higher level of narcissism compared to the court-referred battering men. Post-traumatic stress was the only symptom that distinguished the batterers who received legal punishments from the other groups. The theoretical and practical implications of these results were pointed out and discussed in the paper.

• Management & Information Systems Review
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• v.39 no.2
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• pp.61-75
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• 2020

The purpose of this study were to investigate self-leadership, nursing professionalism, job involvement and turnover intention and to identify factors influencing turnover intention of geriatric nurses working in long term care hospitals. The data of it were collected from the 135 questionnaires of its subjects, the nurses working in long term care hospitals in D province. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Scheffe test, Pearson's correlation coefficient and stepwise multiple regression analysis with SPSS/WIN 21.0. The results revealed that the nurses working in long-term care hospitals had medium level of turnover intention. There were significant correlation between self-leadership, nursing professionalism, job involvement and turnover intention. Factors affecting turnover were age, marital status, nursing professionalism. Nursing professionalism was the most influential factor with an explanatory power of 30.6%. Based on the result, to reduce turnover intention of long term care hospital nurses, it is necessary to enhance their nursing professionalism through development of educational program and organizational support, establishment of systematic strategy and creation of suitable environment for enhancement of job involvement, and intervention for the work force management considering the variables related to turnover intention of nurses working in long-term care hospitals are required in order to reduce turnover intention of theses nurses.

• Culinary science and hospitality research
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• v.19 no.1
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• pp.189-203
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• 2013

The purpose of this study is to examine medicinal food consumption patterns focusing on the consumers living in Gyeongju area, and it attempts to provide database about developing medicinal food products as tourist attractions grounded on the results. For this study, the data was analyzed using SPSS WIN 20.0 for an empirical analysis. Moreover, the survey questions were sent out to 300 people, and total 256 copies of questionnaire were returned for the sample data. For the result that "It will have a significant impact on the selecting attributes of medicinal food according to gender," there was a meaningful difference between gender on the average cost. For the result that "It will have a significant impact on the selecting attributes of medicinal food according to marital status," there was a significant difference between married and single for comparing tastes. For the result that "It will have a significant impact on the selecting attributes of medicinal food according to age," there was a meaningful difference on the degree of awareness, comparing tastes, and comparing health. For the result that "It will have a significant impact on the selecting attributes of medicinal food according to occupation and education," there was a meaningful difference on the degree of awareness. Based on the results of this study, medicinal restaurants should offer various menu items and services to prepare methods to remind consumers of their professionalism in order to enhance competitive power of medicinal food.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.225-233
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• 2015

This study was conducted in an attempt to determine the factors that cause excessive daytime sleepiness among 927 subway station employees located in Seoul. Data were collected with a structured questionnaire through the web site and were analyzed using SPSS 20.0 statistical software. Results showed that marital status made a statistically significant difference in general characteristics, and hobby/leisure activities made a statistically significant difference in health-related characteristics. Workplace and satisfaction with the organization made a significant difference in job-related characteristics, and physical environment, job demand, job autonomy, relationship conflicts, organizational system, inappropriate compensation, and organizational culture made a statistically significant difference in job stress factors. Factors that affect excessive daytime sleepiness were hobby and leisure activities, satisfaction with the organization, physical environment, job demand, job autonomy, organizational system and organizational culture, showing a 20.5% explanatory power. This study proposes the operation of programs that can improve the physical environment, change the organizational system and increase satisfaction with the organizational culture among station employees in order that they can enjoy their hobby/leisure life and relieve job stress so that they can avoid excessive daytime sleepiness.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.275-290
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• 1999

The Objectives of this study were to identify family nursing phenomena at the community in Korea and to contribute to build up family domain of International Classification for Nursing Practice. The method of this study was used retrospective one among three methods to develop ICNP during the period from April 1997 to June 1999. The procedure was to choose nursing phenomena using preliminary terms(stepl) from the reports on family nursing care of the nursing students of 5 junior colleges of nursing and 5 colleges of nursing. The study group members identified 3 common family nursing phenomena with 5 characteristics related to each phenomenon. In order to consensus the appropriate characteristics of a phenomenon(step2), 17 study group members had regrouped nursing phenomena and scored its characteristics 5 times. The essential characteristics of each family phenomenon were selected above 3.5 mean score from related characteristics(step 3). Finally, 17 phenomena were named preferred terms such as following, that was selected after investigated preliminary terms(step4). Family nursing phenomena in Korea are named as Lack of family interaction in community. Social isolation. Lack of social support system in community. Disturbance in parent role, Disturbance in marital role, Dissatisfaction of sexual life, Disturbance in family communication, Inappropriate family coping, Lack of family intimacy, Inappropriate family power structure, Family violence. Unhealthy life style. Deficit of financial management skill and support. Inadequate care a sick member. Insecure safety and hygiene in neighborhood, Inadequate home-sanitation. Inadequate home-making. Family nursing phenomena in Korea were partially confirmed family architecture of ICNP, Beta version. by this study. Further study on Family nursing phenomena in Korea will be required to support evidence through literature review of nursing classifications or field studies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.489-498
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• 2016

This study examined the effects of internal marketing and customer orientation on the organizational commitment of nurses in specialized hospitals. This research was conducted from May 1 to 30, 2015 and involved 149 nurses at 5 specialized hospitals in Busan, The collected data were analyzed by descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson correlation coefficients, stepwise multiple regression by the SPSS WIN 18.0 program. As a result, there were significant differences in the organizational commitment according to age, marital status, education, clinical experience, position, work shift, working unit, number of beds, and experience of participation for employee satisfaction survey. Organizational commitment was positively related to the internal marketing. In addition, there was a positive correlation between the organizational commitment and customer orientation. Meaningful variables that influenced the organizational commitment were internal marketing, working unit, education, and position. The total explanation power was 58.5% and the internal marketing was the most influential factor. In conclusion, to enhance the organizational commitment of nurses working in specialized hospitals, educational opportunities need to be provided to increase the professionalism of nurses, and efforts will be needed to improve the working environment and develop internal marketing strategies, such as regular satisfaction surveys.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.497-505
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• 2018

This study was conducted to investigate the characteristics of private health insurance subscribers and non-subscribers as they relate to severely ill patients, and to identify the factors of participation. The study was conducted using the National Health and Nutrition Examination Survey for 2015, and data were analyzed using SPSS ver. 23.0. The subjects were 417 patients with severe disease (cancer, heart disease, cerebrovascular disease) over 19 years of age. Crossover analysis was employed to identify differences between the state of private health insurance participation, while binary logistic regression analysis was used to confirm the factors affecting private health insurance subscription. Analysis of the effects of the subjects on the private health insurance participation rate revealed that the social and demographic characteristics were higher in younger individuals regardless of sex, residence, or marital status. Moreover, higher household income, regardless of the education level, was associated with a higher participation rate of health insurance target individuals compared to medical benefit target individuals. The private health insurance participation rate was low and the explaining power was 51.7%, regardless of subjective health awareness and walking practice. Therefore, efforts should be made to improve the living environment and support local governmental programs for the elderly, low income households, socially vulnerable groups with limited activities and groups with limited health behavior. It is also necessary to consider various health policies, such as providing government health education or programs to prevent severe illness.