• 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.

• Korean Journal of Applied Biomechanics
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• v.30 no.1
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• pp.83-91
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• 2020

Objective: The study aimed to develop a functional performance index that evaluates the functional performance of Parkinson's patients, i.e., to integrate biomechanical measurements of walking, balance, muscle strength and tremor, and to use multiple linear regression with stepwise methods to identify the most suitable predictors for the progression of disease. Method: A total of 60 subjects were tested for sub-variables of four factors: walking, balance, isometric strength and hand tremors. Potential independet variables were extracted through correlation analysis of the sub-variables and dependent variables, Hoehn & Yahr scale. And then, a stepwise multiple regression analysis using the potential independent variables was performed to identify predictor of Hoehn & Yahr scale. Results: First, the results of the study showed that physical composition and gait had a relatively more correlated with the progression of the disease, compared to balance and hand tremor. Second, Parkinson's functional performance is characterized by dynamic pattern of walking, such as foot clearance and turning angle (TA) of walking, and a high-explained regression model is completed. Conclusion: The study emphasized the importance of walking variables and body composition in minor pathological features compared to Parkinson's patient's balancing ability and hand tremor. Specifically, it revealed that dynamic walking patterns functionally characterize patients. The results are worth considering when assessing functional performance related to the progression of the disease at the site.

• 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.

• Advances in Computational Design
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• v.5 no.4
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• pp.397-416
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• 2020

Functionally graded material (FGM) illustrates a novel class of composites that consists of a graded pattern of material composition. FGM is engineered to have a continuously varying spatial composition profile. Current work focused on buckling analysis of beam made of stepwise linear and quadratic graded material in axial direction subjected to axial span-load with piecewise function and rested on shear layer based on classical beam theory. The various boundary and natural conditions including simply supported (S-S), pinned - clamped (P-C), axial hinge - pinned (AH-P), axial hinge - clamped (AH-C), pinned - shear hinge (P-SHH), pinned - shear force released (P-SHR), axial hinge - shear force released (AH-SHR) and axial hinge - shear hinge (AH-SHH) are considered. To the best of the author's knowledge, buckling behavior of this kind of Euler-Bernoulli beams has not been studied yet. The equilibrium differential equation is derived by minimizing total potential energy via variational calculus and solved analytically. The boundary conditions, natural conditions and deformation continuity at concentrated load insertion point are expressed in matrix form and nontrivial solution is employed to calculate first buckling loads and corresponding mode shapes. By increasing truncation order, the relative error reduction and convergence of solution are observed. Fast convergence and good compatibility with various conditions are advantages of the proposed method. A MATLAB code is provided in appendix to employ the numerical procedure based on proposed method.

• 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 CROP SCIENCE
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• v.51 no.4
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• pp.269-273
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• 2006

Multiple linear regression analysis was conducted to interpretate the relationship between sesame grain yield and its components under early sowing cropping condition. The t test showed that stem length, number of capsules per plant, 1000 seeds weight and seed weight per plant gave significant contribution to sesame grain yield, therefore those variables were assumed to mostly influenced components to grain yield of sesame. In the stepwise regression analysis, the predicted equation for sesame grain yield per square meter (Y) was Y = -7.900 + 0.150X1 + 0.461X5 + 15.553X6 + 8.543X7. Meanwhile, F value showed that stem length, number of capsules per plant and seed weight per plant gave significant contribution to sesame grain yield, while 1000 seeds weight did not significantly show. Based on the results, it is reasonable to assume that high yield. potential of sesame under early sowing cropping condition would be obtained by selecting breeding lines with long stem length, number of capsules per plant, and seed weight per plant, which was different result at the late sowing cropping condition in which days to flowering and maturity were assumed to be more affected factors to the sesame grain yield.

• 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.