• Korean Journal of Adult Nursing
• /
• v.19 no.4
• /
• pp.517-526
• /
• 2007

Purpose: This study examined the correlations among family support, morale, and quality of life in the elderly. Methods: Descriptive correlational study design was used. The subjects were 131 elderly people 65 and older who have lived in Seoul and other three cities. The data were analyzed with mean, SD, t-test, ANOVA, and pearson's correlation by using the SPSS 11.0 program. Results: First, the mean of family support was 3.71, morale 3.25, and quality of life 3.02 respectively. Second, the correlation between quality of life and family support was statistically significant(r=.264, p=.00), the correlation between quality of life and morale was also statistically significant(r=.484, p=.00), and the correlation between family support and morale was also statistically significant(r=.430, p=.00). Conclusion: Family support for the elderly in the study was confirmed as the primary important concept which can positively maintain and promote the quality of their life. Also, the correlation between morale and family support was verified as significant. Further study is needed to develop a nursing intervention program for morale improvement with a network of family support with their children, ultimately for quality of life among the elderly.

• Asian Oncology Nursing
• /
• v.9 no.1
• /
• pp.52-59
• /
• 2009

Purpose: The purpose of this study was to investigate perceived family support and quality of life in patients with cancer. Method: Data were collected from 83 cancer patients in the 3 cities of Korea. Family support was measured using the Tae's Family Support Scale and quality of life was measured using Functional Assessment of Cancer Therapy-General (FACT-G). Results: The mean scores of family support and quality of life were 30.48 and 53.04 respectively. Family support was significantly different according to marital status, education level, income, living together, helper, type of treatment, and weight change. Quality of life was significantly different according to the purpose of treatment, weight change, performance status, exercise, and sleep. There was a positive correlation between family support and quality of life (r=0.499, p<0.000). Conclusion: The study results underscore the importance of family support in improving the quality of life of patients with cancer.

• Journal of East-West Nursing Research
• /
• v.19 no.2
• /
• pp.186-194
• /
• 2013

Purpose: The purposes of this study were to identify correlation of spiritual well-being, social support, life satisfaction and depression in the community dwelling elderly, and to explore a possibility to apply the spiritual well-being, and social support as resources to promote welfare of the elderly. Methods: A structured questionnaire was used to obtain data from a convenience sample of 222 senior citizens, who visited social welfare centers in Gangwon-do from September to October, 2010. Data were analyzed using t-test, ANOVA, and multiple regression. Results: There were significant differences in spiritual well-being based on religion, satisfaction to religion, economic status, physical health, and life satisfaction. Social support was significantly different according to economic status, physical health, life satisfaction, and social gathering. The existential well-being, family support, and special support had a significant effect on life satisfaction, and demonstrated positive correlations with the well-being of the elderly. Conclusion: Spiritual well-being and social support have significant effects on depression and life satisfaction of senior citizens. Thus spiritual well-being and social support can be considered as important factors that improve the elderly's quality of life.

• Research in Community and Public Health Nursing
• /
• v.15 no.2
• /
• pp.237-245
• /
• 2004

Purpose: This study was to identify the relationships among the depression, social support and quality of life of the elderly in rural areas. Method: The subjects of this study were 199 people aged over 60 who had been living in three rural area. Data were collected through a questionnaire survey from the 10th of July to the 10th of August 2003. Collected data were analyzed using descriptive statistics, t-test, ANOVA. Duncan's multiple-range test, Pearson's correlation coefficient and multiple stepwise regression with SPSS & SAS. Result: The average depression score was 11.09. As for the score of social support by supporter, the score of spouse' support was 13.36 out of 18 points, children's support 13.27, friends' support 11.40, neighbors' support 10.21 and siblings' support 10.20. The average score of quality of life was 132.26 out of 220 points. As for the score of the sub-areas of quality of life, the score was highest in economic status(32.18) and lowest in neighbor relationship (16.42). The score of quality of life was negatively correlated with the score of depression (r=-.014) and positively with the score of social support (r=.338). The suitable regression from the results of the multiple regression analysis to investigate factors influencing quality of life was expressed by y=58.341-$0.361x_1$+$1.492x_2$ ($x_1$: social support, $x_2$: depression) and $R^2$=.327. Conclusion: These results suggest that elderly people in rural areas with high quality of life is likely to be low in depression and high in social support. Therefore, it is necessary to develop health promotion programs in due consideration of depression and social support in order to enhance the quality of life of elderly people in rural areas.

• Korean Journal of Hospice Care
• /
• v.5 no.1
• /
• pp.1-13
• /
• 2005

Purpose:The purpose of this study was to find the ways to improve a quality of life of cancer patients through the family support by analyzing the correlation between quality of life and family support that cancer patients perceived. Methods: The questionnaires for this study were collected from 43 cancer patients who were admitted in general hospitals at Gyounggido from July 2004 to August 2004. The questionnaire was composed of total 60 items, which were general characteristics of 18 items, family support of 11 items and quality of life of 31 items. Kang's(1984) scale of family support and Tae's(2000) scale of quality of life were used. The data were analyzed with SPSS WIN 10.0 program using frequency, mean±SD, t-test, ANOVA and Pearson's correlation analysis. Results: Forty three cancer patients answered the questionnaire. Twenty three patients was a male and 20 a female. Mean scale of family support according to general characteristics was 3.87±0.71. Mean scale of quality of life according to general characteristics was 5.89±1.08 and relatively high. The better degree of education, the higher quality of life significantly and the less physical discomfort, the higher quality of life significantly. The quality of life when the patient burdens the spouse with treatment cost was significantly higher. A correlation between degree of family support and quality of life was r=0.488 and the higher family support that cancer patients perceived, the higher quality of life significantly(p<0.001). Conclusion: The higher family support that cancer patients perceived, the higer quality of life significantly. We suggest concrete and systemic program for family support.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.8 no.2
• /
• pp.199-209
• /
• 2001

The purpose of this study was to examine the relationship between life stress and depression, and the effect of social support in postpartal $4{\sim}6$ week women. Theoretically social support is thought to mediate the relationship between life stress and depression. Data were collected from June 1 to July 30, 1999. The data were analysed by use of SPSS. Two hypotheses were tested using Gamma, a measure of association for ordinal variables. Partial gamma was used to test the third hypothesis. Patterns of elaboration described by Babbie(1986) were selected to interpret the relationship of the three variables in the analyses. The results of this study are summarized as follows ; There was a positive relationship between life stress and depression (Gamma=.45, P=.017), and an inverse relationship between social support and depression (Gamma=-.49, P=.009). Thus the first, two hypotheses were supported. 2. When social support was controlled, the relationship between life stress and depression increased under the condition of low social support, but with high social support, the relationship decreased. It can be interpreted that life stresses are positively related to depression under the condition of low social support, however this relationship cannot be expected with high social support.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.25 no.1
• /
• pp.125-135
• /
• 2019

Purpose: This study was conducted to determine the mediator effect of social support in the association between stress for college life and depression among nursing students. Methods: The participants of the study were 201 university students in A and C cities. Self-report questionnaires were used to measure the variables. In the data analysis, the SPSSWIN 25.0 program was utilized for descriptive statistics, Pearson's correlation, Sobel test and multiple regression analysis. Results: Mean scores of stress for college life, depression and social support were 2.56, 4.12 and 0.61, respectively. Stress for college life and depression showed a significant positive correlation (r=.60, p<.001), while depression and social support showed a significant negative correlation (r=-.46, p<.001). Lastly, stress for college life and social support showed a significant negative correlation (r=-.55, p<.001). The analysis of the mediator effect of social support in the association between stress for college life and depression showed that social support had a significant mediator effect. Conclusion: Among nursing students, social support may be a mediator in the association between stress for college life and depression. Therefore, strategies for nursing intervention to improve social support should be developed for nursing students.

• Korean Journal of Childcare and Education
• /
• v.16 no.3
• /
• pp.19-37
• /
• 2020

Objective: The purpose of this study was to examine how job stress, coping style, and social support were associated with quality of life among child care teachers. Methods: The participants were comprised of 281 child care teachers in the metropolitan area of Seoul. Job stress, problem-focused coping style, social support, and quality of life were assessed by a teacher-reported questionnaire. Results: Correlation and regression analyses revealed that while job stress predicted lower quality of life, having problem-focused coping style and family support enhanced quality of life among child care teachers. Furthermore, results showed significant moderation effects of support from directors at child care centers on the relationship between job stress and quality of life among child care teachers. Conclusion/Implications: The findings suggest the important role of problem-focused coping styles and family support in enhancing quality of life. Moreover, support from directors at child care centers appeared to buffer the effects of job stress on quality of life among child care teachers. Results were discussed in terms of their implications for educational and counseling programs for child care teachers.

• Research in Community and Public Health Nursing
• /
• v.17 no.2
• /
• pp.176-185
• /
• 2006

Purpose: This study was to identify the relations of rural elderly people' self-esteem and social support to their qualify of life. Methods: Data were collected from 228 rural elderly. The instruments used in this study were the self-esteem scale developed by Rogenberg(1965), the MOS-SSS(1991) and the qualify of life scale by Choi(1986). Data were analyzed by SPSS 12.0 using t-test. ANOVA, Pearson correlation coefficient and stepwise multiple regression. Results: Self-esteem and social support were in a positive correlation with each other(r=.467, p=.000). Social support and quality of life were in a positive correlation with each other(r=.512, p=.000). Self-esteem and quality of life were in a positive correlation with each other(r=.555, p=.000). The significant predictors of quality of life were self esteem, social support, and economic status, and the three factors accounted for 42.5% of variances in rural elderly people's quality of life. Conclusion: These results suggest that self-esteem, social support, economic status can be important factors for the qualify of life in the rural elderly. It proposes the basis for program development to improve rural elderly people's qualify of life.

• Journal of Korean Critical Care Nursing
• /
• v.1 no.1
• /
• pp.59-71
• /
• 2008

Purpose: This study was to identify the effects of simulation-based training for advanced cardic life support on the competence of nurses in critical care settings. Methods: In this study, a nonequivalent control pretest-post test quasi-experimental design was used. Data were collected from May 1 to June 1, 2006 at one general hospital in W city. Among 40 nurses in critical care settings, twenty were assigned to the experimental group and twenty to the control group. Nurses in the experimental group received simulation-based training for advanced cardiac life support. Measurement tool were ACLS related knowledge and skills developed by AHA & Mega Code (2005) and some items were modified. The collected data were statistically processed using SPSS version 12.0 for Windows, and analyzed using descriptive statistics, $X^2$test, t-test, paired ttest, Pearson correlation coefficients. Results: 1) Hypothesis 1“: Nurses who received simulationbased training would have more knowledge of advanced cardiac life support than nurses who received traditional training”, was supported (t=11.51, p=.00). 2) Hypothesis 2: “Nurses who received simulation-based training would have better advanced cardiac life support skills than nurses who received traditional training”, was supported (t=2.38, p=.00). Conclusion: Simulation-based training for advanced cardiac life support is an effective strategy for increasing the competence of nurses in advanced cardiac life support in critical care settings.