• Journal of Hospice and Palliative Care
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• v.23 no.3
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• pp.139-150
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• 2020

Purpose: The purpose of this study was to investigate the levels of end-of-life care competency; knowledge, attitudes, and experiences regarding advance directives; perceptions of good death; and end-of-life care obstacles and supportive behaviors among tertiary care nurses. Methods: The participants were 150 nurses at a tertiary hospital in Jinju, Korea. The data collected using a questionnaire were analyzed using descriptive statistics, the t-test, analysis of variance, Pearson correlation coefficients, and stepwise multiple regression in SPSS for Windows version 24.0. Results: The mean (±SD) score of end-of-life care competency was 3.63 (±0.53) on a 5-point scale. A significant difference in end-of-life care competency was found according to whether nurses had experienced the death of a family member or acquaintance (P=0.029). According to stepwise multiple regression analysis, the factors affecting end-of-life care competency were the frequency of end-of-life care supportive behaviors (β=0.38, P<0.001), experience with advance directives (β=0.29, P<0.001), and marriage (β=0.15, P=0.039). This model had an explanatory power of 27.9% (F=18.87, P<0.001). Conclusion: In order to improve nurses' end-of-life care competency, it is important to strengthen end-of-life care supportive behaviors by exposing nurses to those behaviors and providing frequent experience with advance directives.

• Journal of Korean Academy of Nursing
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• v.28 no.3
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• pp.583-590
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• 1998

This study was undertaken in order to examine the effect of hardiness on stress-causing factors, defined in this study as burnout in nursing. The subjects were 248 nurses working in three general hospitals in Taejon. The instruments used for this study were a survey of general characteristics, modified Health-Related Hardiness Scale(HRHS) (25 items), job stress scale (63 items), and burnout scale (20 items). Analysis of data was done through the mean, percentage, Pearson correlation coefficient, and stepwise multiple regression done with a SAS program. The results of this study are as follows. 1) The average item score for the job stress was high at 4.44. In the subcategories, the highest degree of stress was night duty(5.11), and work overload(4.70), responsibility for extra affairs(4.70), conflict in nurse-doctor relationships(4.69), and low reward(4.63) in that order. 2) In the stepwise multiple regression analysis, hardiness(11.55%) was a significant determinant of burnout along with job stress(17.24%) and job duration(12.94%). The results of this study show that hardiness has an effect on psychological distress caused by stress.

• Korean Journal of Adult Nursing
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• v.18 no.3
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• pp.377-385
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• 2006

Purpose: This study were to examine the relationship among chronic pain, pain beliefs, pain coping, and fatigue and to define the main factors influencing chronic pain in the elderly. Method: Data were collected by self-reported questionnaires from 276 Korean elderly. Data analysis was done with SPSS 10.1 for descriptive statistics, t-test, ANOVA, Pearson Correlation Coefficient, and Stepwise multiple regression. Results: Chronic pain score was 5.45, which was slightly higher than the average. There were significant differences in chronic pain according to age, marital state, economic state, and duration of pain. There was a significant positive correlation between chronic pain and pain beliefs, passive pain coping, physical fatigue and mental fatigue. In addition, there was a significant negative correlation between chronic pain and active pain coping. Stepwise multiple regression analysis showed that 44% of the variance in chronic pain was significantly accounted for by passive pain coping(31%), pain beliefs(8%), physical fatigue(4%), and active pain coping(1%). Conclusion: These results suggested that pain beliefs, pain coping, and fatigue can be influencing factors on chronic pain for the elderly. Also, the findings can provide a basis for nursing intervention development to effectively manage chronic pain for the elderly.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.6 no.3
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• pp.369-381
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• 1999

The purpose of this study was to determine the predictors of health promoting lifestyles(Health Promoting Lifestyle Profile HPLP) of Koreans in the Philippines. The sample consisted of 100 Koreans who have lived in Manila, Philippines. Data were collected for two months from Feb, 1 to March 30, 1998. Analysis of the data was done by use of percentage, t-test, ANOVA, Pearson's Correlation Coefficients, and Stepwise Multiple Regression. The results of this study were summarized as follows : 1. The range of total HPLP score was from 73 to 175 and the mean score of that was 117.23. In comparison of mean scores depending on each item of six dimensions, self-actualization dimension tended to show the hightest score(2.98) and responsibility for health dimension, the lowest score(1.83). 2. The HPLP score showed a positive correlation with age(r=.19), social support (r=.39), self-efficacy(r=.52) and perceived health status(r=.27), but a inverse correlation with perceived health care service utilization barriers(r=-.20). 3. By using stepwise multiple regression analysis it was determined that the main influencing factors on the HPLP score were self-efficacy(27.2%), social support(5.3%), age(5.3%) and perceived health status(2.9%). These variables made it possible to explain 40.7% of variance in HPLP score.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.1
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• pp.149-158
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• 2012

Purpose: The purpose of this study was to identify the factors influencing mental health among late elementary age children. Methods: The research design was a secondary data analysis. Data were collected from 746 students in grades 5 or 6, and analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients and stepwise multiple regression with the SPSS/PC 18.0 program. Results: The average score of mental health was $3.42{\pm}0.55$. There were significant differences in mental health according to health status, economic status, scholastic performance, relationships with friends, relationships with the teachers, atmosphere of the home, number of siblings and the source of trouble. Stepwise multiple regression analysis showed influencing factors of stress, negative reaction under stress, self-esteem, teacher support, and friend support support and explained 41.4% of total variance in late elementary age children's mental health. Conclusion: These results may contribute to a better understanding of mental health in late elementary age children. The results of the present study indicate a need to develop nursing interventions to prevent and manage elementary school-age children's negative reaction under stress.

• Korean Journal of Adult Nursing
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• v.28 no.2
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• pp.226-236
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• 2016

Purpose: The aim of this study was to evaluate the nutritional status and to identify factors affecting malnutrition in hemodialysis patients. Methods: Data were collected from a convenience sample of 125 hemodialysis patients who agreed to participate in the study, between August 1 and October 4, 2014. Five structured questionnaires were used: Patient-generated Subjective Global Assessment, Simplified Nutritional Appetite Questionnaire, Self-rating Depression Scale, Fatigue Scale, and Family Support Scale. Data were analyzed by descriptive statistics, t-test, Mann-Whitney U test, ${\chi}^2$-test, and stepwise multiple regression analysis by using SPSS/WIN 22.0 program. Results: Of 125 patients, 30.4% were found to be malnourished. Malnutrition was related to age, family household income, depression, fatigue, social support, appetite, and levels of C-reactive protein and serum albumin. Stepwise multiple regression analysis showed that appetite, C-reactive protein level, fatigue, and albumin level were significant factors affecting malnutrition in hemodialysis patients. Conclusion: Regular and consistent nutritional assessment is essential in hemodialysis patients. Nurses who care for hemodialysis patients need to consider the factors identified from these findings when assessing their patients' nutritional status and needs.

• Korean Journal of Health Education and Promotion
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• v.21 no.4
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• pp.109-119
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• 2004

This study was conducted to examine factors influencing mental health of middle-aged adults(N=203) in relation to sociodemographic variables, health behaviors, and social support. The survey with questionnaire was carried out for the subjects of the residents in two communities of a local city located in Gangwon-do, Korea from September 3 to 15, 2003. Data analysis procedure included stepwise multiple regression using mental health as the dependent variable, and sociodemographic variables, health behaviors, and social support as independent variables. There were significant differences in the mental health by birth place(t=-1.67, p<0.10), religion (t=2.27, p<0.05) and subjective economic status(F=2.29, p<0.10). Mental health showed significant positive correlations with both health behavior (r=0.462, p<0.001) and social support (r=0.142, p<0.05). Stepwise multiple regression analysis for mental health revealed that the most powerful predictor was health behavior(β=0.453, p<0.001). Health behavior and religion explained 24％ of the variance. The results suggest the necessity of a intervention that considers the health behaviors should be included in middle-aged adults so as to promote mental health.

• The Korean Journal of Rehabilitation Nursing
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• v.17 no.2
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• pp.97-103
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• 2014

Purpose: This study was conducted to identify the knowledge, attitude, and preventive health behavior of cancer in middle-aged men and to provide data for education program regarding cancer prevention. Methods: This study was a descriptive research using a questionnaire, which included 20 items for knowledge, 10 items for attitude, and 18 items for preventive health behavior of cancer. Data were collected from 140 middle-aged men. Descriptive statistics, t-test, one-way ANOVA and Pearson's correlation coefficients, and stepwise multiple regression analysis were used with SPSS/WIN 18.0 to analyze the data. Results: The mean score for knowledge of cancer was 11.58 (range 0~20), for attitude, 37.52 (range 5~50), and for preventive health behavior of cancer, 58.85 (range 18~90). Preventive health behavior of cancer showed a significantly positive correlation with knowledge (r=.27, p=.001) and attitude (r=.31, p<.001) toward cancer. In stepwise multiple regression analysis, knowledge and attitude toward cancer were significant factors affecting preventive health behavior of cancer. Those variables explained 12.5% of cancer preventive behavior. Conclusion: In order to develop a cancer prevention education program for middle-aged men, accurate knowledge and improving attitude should be considered. Furthermore, it is necessary to do further study with a larger random sample according to lifespan.

• Health Policy and Management
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• v.7 no.2
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• pp.1-18
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• 1997

This study was conducted to analyze patient days and medical care benefits of finger-amputated patients due to industrial accident. The 161 personal data on medical care for finger-amputated patients due to industrial accident(88 in 1994, 73 in 1995) of Regional Labor Office and hospital characteristics were analyzed. The major results of this study were as follows : According to stepwise multiple regression analysis of patient days, number of amputated finger, location of hospital, bed capacity of hospital, presence of plastic surgery in hospital, number of orthopedic specialist per 100 beds, sick leave benefits per day were the major significant variables in order. In stepwise multiple regression analysis with medical care benefits as a dependent variable, presence of plastic surgery in hospital, number of orthopedic specialist per 100 beds, number of amputated finger, sick leave benefits per day, age, bed capacity of hospital were the major significant variables in order. The minimum optimal size with the lowest medical care benefits was a hospital with 300 beds. This shows that the economy of scale is also applicable for hospital industry. In summary, presence of plastic surgery in hospital, number of orthopedic specialist per 100 beds, number of amputated finger, sick leave benefits per day, bed capacity of hospital were the major significant variables in both patient days and medical care benefits.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.5 no.2
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• pp.353-361
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• 1998

The purpose of this study was to determine the predictors of health promoting behavior in postpartal $4{\sim}6$ week women. The sample consisted of 104 postpartal women who experienced a vaginal delivery at four obstetrical clinics located in Kwangju city. Data were collected for two months from June 1 to July 30, 1997. Analysis of the data was done by use of percentage, t-test, ANOVA, Pearson's Correlation Coeficients, and Stepwise Multiple Regression. The results of this study were summarized as follows : 1. The range of total HPLP score was from 93 to 182 and the mean score of that was 142.28. In comparison of mean scores defending on each item of six demensions, self-actualization demension tended to showed hightest score(3.33) and exercise & rest demension, the lowest score(2.47). 2. The HPLP score was not significantly different defending on the general characteristics. 3. The HPLP score showed a positive correlation with family-support(r=.51) and self-efficacy(r=.41), but a inverse correlation with perceived barriers(r=-.27). 4. By using stepwise multiple regression analysis it was determined that the main influencing factors on the HPLP score were family-support(26%) and self-efficacy (8%). These variables made it possible to explain 34% of variance in HPLP score.