• Korean Journal of Adult Nursing
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• v.17 no.1
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• pp.3-11
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• 2005

Purpose: This study was conducted to investigate quality of life according to social support of elderly in the rural area. Method: The subjects of this study were 199 people aged over 60 who had been living in three rural areas. Date was collected through questionnaires from July 10th, to August 10th, 2003. Result: The most socially supportive people they answered were friends(80.9%), followed by children(74.9%), neighbors(71.9%), siblings(55.8%), spouse(53.3%), in descending order. Mean social support score for spouse was 13.36, for children 13.27, for friends 11.40, for neighbors 10.21, for siblings 10.20. A comparison of the average grade points per items according to the offerers of social support revealed spouse support(13.36 out of 18), children support(13.27), friends support(11.40), neighbor support(10.21), siblings support(10.20). The average of the quality of life score was 132.26 out of 220. A comparison of the average grade points per items within sub-areas of quality of life revealed the highest score of neighbor relationships(4.29 out of 5.00) and the lowest score of economic conditions (2.61) Quality of life scores correlated positively with social support scores(r=.734, p<.001). Variables significantly influencing quality of life were spouse support(36.1%), neighbor support (5.1%), age(2.2%), religion(1.7%). These variables explained 45.1% of the variance in quality of life. Conclusion: Social support for elderly people in rural areas identified this as a greatly effective factor for their quality of life. Therefore, it is necessary to develop health promotion programs connected with social support in order to enhance the quality of elderly people in rural areas.

• Korean Journal of Adult Nursing
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• v.26 no.4
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• pp.444-454
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• 2014

Purpose: The purpose of the study was to examine the relationships among pain belief, perceived social support, coping strategies, and quality of life of people with noncongenital spinal cord injury and to identify factors influencing quality of life. Methods: A correlational predictive design was used. The data were collected from 197 people with noncongenital spinal cord injury with questionnaires in 2012 in Korea. The data were analyzed using descriptive statistics, t-tests, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression using SPSS/WIN 18.0. Results: Pain belief, perceived social support, and coping strategies were correlated significantly with the quality of life. As a result of stepwise multiple regression analysis, pain belief, perceived social support, coping strategies, damaged area, and time since injury were discovered to account for 59.1% variance of the quality of life. The variable that most affected the quality of life was pain belief followed by perceived social support and coping strategies. Conclusion: The results of the study clearly demonstrate the importance of pain control, social support, and coping skills in order to improve quality of life among people with noncongenital spinal cord injury.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.1
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• pp.161-169
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• 2024

Purpose : This study investigated the correlation between social support and older people's quality of life. Methods : We conducted a questionnaire survey with 350 older participants and analyzed 320 completed surveys. The collected data were analyzed using SPSS 25.0 for Windows. The general characteristics of the participants and quality of life subdomains were analyzed using descriptive statistics and frequency analyses. Furthermore, the differences between the subdomains of social support and quality of life were analyzed using independent t-tests and a one-way ANOVA. Post-hoc tests were performed using the Scheffé test. A significance level of α=.05 was used to verify statistical significance. Results : Upon examining the sub-domain level of social support and considering general characteristics, it was found that older age correlates with increased dependency among patients with associated diseases (p<.05). Similarly, an investigation into participants' quality of life at the subdomain level, considering general characteristics, revealed higher correspondence to lower quality of life (p<.05). Differences emerged between social support and quality of life among older individuals, with a negative correlation observed between the two (p<.05). Conclusion : This study suggests the importance of actively supporting older people with chronic diseases who experience emotional and psychological instability. It advocates for promoting the use of various services, including visiting medical services, convalescent care, and assistance, to meet their needs effectively.

• Korea journal of population studies
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• v.34 no.1
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• pp.27-51
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• 2011

The purpose of this study was to examine how the social support was related to the relationships between marital quality and stress from life events among married immigrant women. The subject of this study included 182 married immigrant women lived in Busan. The results of this study were as follows: First, life stress and social support had a independently significant effect on marital quality. Second, social support had a negative effects when the relationship between life stress and marital quality mediated by social support. In varying forms and degrees, social support may play significant roles in relation to life stress and marital quality, but like married immigrant women, limited social support may be no/low effect on the relationship between life stress and marital quality. In this article, we examined the effect of social support related to life stress and marital quality and discuss the implications for research.

• Women's Health Nursing
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• v.29 no.3
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• pp.243-252
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• 2023

Purpose: This study aimed to examine the effects of anxiety, depression, social support, and physical health status on the health-related quality of life of Korean pregnant women using Spilker's quality of life model. Methods: This was a cross-sectional study with a correlational design. The participants included 166 pregnant women who were recruited via convenience sampling at two healthcare centers in South Korea. Questionnaires were collected from April 22 to May 29, 2023, in two cities in South Korea. The EuroQol-5D-3L, General Anxiety Disorder-7, Patient Health Questionnaire-2, Perceived Social Support through Others Scale-8, and EuroQol visual analog scale were used to assess the study variables. The t-test, Pearson correlation coefficients, and multiple regression tests were conducted using IBM SPSS ver. 26.0. Results: Statistically significant correlations were identified between the health-related quality of life of pregnant women and anxiety (r=.29, p<.001), depression (r=.31, p<.001), social support (r=-.34, p<.001), and physical health status (r=-.44, p<. 001). Physical health status (β=-.31, p<.001) and social support (β=-.21, p=.003) had the greatest effect on health-related quality of life (F=15.50, p<.001), with an explanatory power of 26.0%. Conclusion: The health-related quality of life of pregnant women was affected by social support and physical health status. This study demonstrated that physical health and social support promotion can improve the health-related quality of life of pregnant women. Healthcare providers should consider integrating physical health into social support interventions for pregnant women in the post-pandemic era.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.15-26
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• 2019

The purpose of this study is to provide meaningful implications for the establishment and implementation of social welfare policies for one-person households and to investigate the structural relationship between social participation and social support of one-person householders on their quality of life. As a result of the analysis, it was found that there was a positive correlation between the three variables. The direct and indirect effects of social participation on the quality of life were significant, and the social support partially mediated the relationship between social participation and quality of life. Therefore, it will be necessary to establish a welfare policy system that can promote social support by improving the quality of life of one-person households by providing concrete and diverse ways to activate social participation. Subsequent researches should be dealt with a more in - depth qualitative research on the concrete realization of this.

• Research in Community and Public Health Nursing
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• v.8 no.1
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• pp.74-88
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• 1997

The purpose of this study was to identify the relationship between perceived social support and the quality of life of cancer patients receiving gene therapy. The subjects for this study were 50 cancer patients receiving gene therapy at two general hospital in Seoul. The data were collected during the period from October 14, 1996 to November 11, 1996. The perceived social support was measured by the family support scale made by Hyun Sook Kang, by the medical support of life scale developed by Ok Soo Kim. The quality of life scale developed by Bang-Whal-Ran was used, among the questionnaire, physical factors was developed by U.S.A National Conference on Cancer Nursing. The data was analysed by the SAS statistical program. Percentile, means and standard deviations, t -test, ANOVA, Scheffe test, Pearson correlation were utilized for analysis. The results of this study were as follows. 1. The mean score of the perceived social support of the subjects was 83.66, the item score was 3.8. 1) The mean score of the perceived family support of the subjects was 44.96, the item mean score was 4.5. 2) The mean score of the perceived professional medical support of the subjects was 38.70, the item mean score was 3.2. 2. The mean score of quality of life of the subjects was 120.38, the item mean score was 3.17. For each factor in quality of life scale, the mean score was follows: for attitude toward life, 3.95, for familial relationship and financial status, 3.53, for social activity 3.24, for emotional status, 3.08, for healthy perceptive, 2.90, for physical symptom, 2.80. 3. The result of the analysis of the relationship between perceived social support and quality of life showed a positive correlation(r=.4853, p=.0004). Therefore, the higher the perceived social support of the patients, the higher the quality of life. 1) The result of the analysis of the relationship between perceived family support and quality of life showed significant correlation(r=. 3566, p=.0110). Therefore the higher the perceived family support of the patients, the higher the quality of life. 2) The result of the analysis of the relationship between perceived professional medical support and quality of life showed significant correlation (r=.4477, p=.0011). Therefore, the higher the perceived professional medical support of the patients the higher the quality of life. 4. There was a significant difference in perceived social support according to sex(F=2.1437, p= .0371), others coping non-family (F=2.4863, p=.0164) and duration of treatment (F=4.16, p=.0218). 5. There was a significant differance in quality of life according to sex(F=2.6932, p=.0097), degree of education(F=2.3610, p=.0223), others coping non-family(F=2.0502, p=.0458). In conclusion, this study revealed that social support is an important factor that associated with the quality of life in cancer patients receiving gene therapy.

• Journal of Industrial Convergence
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• v.14 no.2
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• pp.1-14
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• 2016

According to the previous studies about relationship marketing, customers who have relationship with preferable brand or company take spontaneous word of mouth(WOM) and make more purchases than those who don't. Recently, as e-commerce has been combined with social media, many companies that are looking for solution which can promote customer relationship quality using social media. This study aims to investigate the role of customer's perceived value on brand relationship quality in social media. Although perceived value has been defined from many perspectives, we only consider "perceived social value" and "perceived emotional value" in this paper. According to social capital theory, self-esteem is an important variable when we explain the relationships. Thus this paper considers "self-esteem" as a moderating variable between relationship quality and relationship retention. To serve the research purpose, we collect 226 valid questionnaires from social media users. And we analyze data set and test research hypotheses by using SPSS 20.0 and AMOS 20. We expect that the result contain a lot of implication for both researchers and practitioners. Major findings from analyzing 226 valid questionnaires are as follows. First, when customer recognizes social value about brand or company, relationship quality with the brand or company has been improved. Second, when customer recognizes emotional value about brand or company, relationship retain intention with the brand or company has been improved. Third, self-esteem doesn't have moderating effect between relationship quality and relationship retention in social media.

• Korean Journal of Social Welfare Studies
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• v.42 no.4
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• pp.413-443
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• 2011

The objectives of this study were to survey the level of social capital owned by self-support program participants, and to analyze the direct and indirect effects of social capital on their quality of life. Particularly because an individual's life is highly likely to be influenced by multiple aspects including human relation, this study purposed to determine the mediating effect of job satisfaction in the relation between social capital and the quality of life. The survey used a structured questionnaire, and in the contents of the questionnaire, the quality of life was selected as a dependent variable, social capital as an independent variable, and the job satisfaction as a mediating variable affecting the relation between social capital and the quality of life. The results of this study were as follows. First, as to the relation between self-support program participants' social capital and the quality of life, the network level and the normative level hand an important effect on the quality of life. Second, as to the relation between self-support program participants' social capital and job satisfaction, social capital had a negative effect on job satisfaction. Third, in the relation between self-support program participants' social capital and their quality of life, the mediating effect of job satisfaction was positive and this supports the spillover model among hypotheses on the relation between job satisfaction and the quality of life.

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