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
/
v.12
no.1
/
pp.161-169
/
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.
A hybrid kernel function of support vector machine is proposed to improve the classification performance of power quality disturbances. The kernel function mathematical model of support vector machine directly affects the classification performance. Different types of kernel functions have different generalization ability and learning ability. The single kernel function cannot have better ability both in learning and generalization. To overcome this problem, we propose a hybrid kernel function that is composed of two single kernel functions to improve both the ability in generation and learning. In simulations, we respectively used the single and multiple power quality disturbances to test classification performance of support vector machine algorithm with the proposed hybrid kernel function. Compared with other support vector machine algorithms, the improved support vector machine algorithm has better performance for the classification of power quality signals with single and multiple disturbances.
Purpose: This study was a descriptive correlation research designed to provide basic data on family nursing interventions by examining burden, social support and quality of life for family caregivers of patients on hemodialysis. Methods: Data were collected from 132 family caregivers of patients on hemodialysis and analyzed using frequency analysis, correlation analysis, independent samples t-test method, one-way ANOVA and post-hoc analysis of $Scheff{\grave{e}}$, and multiple regression analysis. Results: Burden for family caregivers of patients on hemodialysis was 3.03, social support, 4.77, and quality of life, 3.26. Burden showed a negative correlation with social support (r=-.34, p<.001), and with quality of life (r=-.54, p<.001). There was a positive correlation between social support and quality of life (r=.54, p<.001). Factors predicting quality of life for family caregivers, were a significant and positive effect from social support (t=5.72, p<.001) and a negative effect from family burden (t=-5.62, p<.001). Conclusion: Results of the study indicate that burden of these family caregivers can be reduced by social support which plays an important role in improving quality of life. A nursing intervention program which goes beyond simply caring for patients and includes assessment of family burden and support for overall family caretaking needs to be developed.
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.
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.
This study was designed to identify the relationship between perceived pain, family support and quality of life in patients with ankylosing spondylitis. The purpose of this study was to contribute to the theoretical understanding of the relationship of these three variables and eventually to more effective adaptation of patients to their situation. The subjects for this study were the 68 patients who had been diagnosed with ankylosing spondylitis and registered as out-patients in the Rheumatism Center of one university hospital in Seoul. The data were collected during the period from October 10, 1997 to December 20, 1997, Pain was measured using the perceived pain scale(VAS : Visual Analog Scale)developed by Calm(1993), family support using the scale developed by Kang Hyun Suk (1985) and Quality of Life using the scale developed by Ro Yoo Ja(1988). The data were analyzed by descriptive statistics, Frequencies, Pearson correlation coefficient, using the SPSS program. The results of this can be summarized as followings. 1. The mean perceived pain score was 5. 13 with a range of 2 to 10. 2. The mean perceived family support score was 41.08$\pm$5.34 with a range of 20 to 50. 3. The mean perceived quality of life score was 134.07$\pm$19.82 with a range of 83 to 176. 4. Significant statistical difference was found between family support and quality of life (r=.331, p<0.001). A significant negative statistical difference was found between the family support and quality of life and pain(r=-.250, p<0.05, r=-.460, p<0.001). 5. General characteristics related to pain were exercise (t=4.72, p<0.0006). 6. General characteristics related to family support were age(F=2.65, p<0.0246), educational level (F=2.84, p<0.0282) and exercise (t=3.24, p<0.0452). 7. General characteristics related to quality of life were educational level (F=3.03, p<0.0392) and exercise (t=3.12, p<0.0465). It was found that the higher the level perceived pain, the lower the degree of perceived family support and the quality of life. It was also found that the higher the degree of perceived family support, the higher the degree of perceived quality of life. Accordingly, the conclusions from this study are that reduction of pain is achieved through the family support. Therefore, it is proposed that family support is an appropriate nursing intervention to improve the quality of life of patients with ankylosing spondylitis.
The purpose of this study was to investigate the relationship among percieved social support, hope and quality of life of the cancer patients and to gain the baseline data for development of nursing intervention program for promoting quality of life in cancer patients. The design of this study was a cross sectional correlational survey. The subjects were 220 out and in-cancer patients in 5 general hospitals in Pusan. The data were collected from July 2 to August 1, 2001. The instruments were the Percieved social support scale(16 items, 5 point scale) had developed by Tae(1986), Hope scale(12 items, 4point scale) developed by Nowotny(1989) and Quality of life scale(31 items, 10 point scale) developed by Tae et al.(2000). The data was analyzed by the SPSS/PC+ program using frequency & percentage, item mean & standard deviation, t-test, ANOVA & Scheffe test, Pearson's correlation coefficient. The results of this study was as follows: 1) The item mean score of quality of life was $6.05{\pm}1.16$ (range 0-10). The highest score of subarea of the quality of life was the spiritual wellbeing area ($7.09{\pm}1.63$) and the lowest score was social wellbeing area ($5.53{\pm}1.65$). The mean score of perceived social support was $52.65{\pm}10.32$ (최저 1, 최고 80). The mean score of family support was $32.71{\pm}6.66$ (range 1-40) and the mean score of medical team support was $19.93{\pm}5.95$ (range 1-40). The mean score of Hope was $37.02{\pm}5.64$ (range 1-48). 2) There were statistically significant difference in the score of quality of life according to the life effect of religion(F=3.97, p=0.00), treatment method(F=2.94, p=0.01), area of diagnosis(F= 3.48, p=0.01), stage of disease (F=13.74, p=0.00). 3) There was significant correlation between perceived social support(r=0.44, p=0.000 ; family support ; r=0.334, p=0.000, medical support; r=0.395, p=0.000), hope(r=0.563, p=0.000) and quality of life. In conclusion, there was a significant relationship among perceived social support, hope and quality of life. Therefore perceived social support, hope intervention programs should be developed to improve the quality of life in cancer patients.
The object of this study is to empirically analyze the effects of information support quality and service quality on service satisfaction of department store. To investigate the purpose of this study, literature review and survey were conducted. for statistical analysis, factor analysis, analysis of variance(ANOVA), and regression in order by the contingency grouping method were used. In conclusion of this study are as follows First, The regression analysis had effects on information support quality and service satisfaction. Second, The Analysis of variance(ANOVA) and regression had effects on information support quality and service satisfaction as service quality factors. Result, The information support accuracy and service quality had additional effect about customer relation.
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.
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