This descriptive correlational study was undertaken in order to investigate the relationship of family support and personality with quality of life in patients receiving radiotherapy for cervix cancer and to provide basic data to help them improve a better quality of life. The subjects for this study Were 80 out-patients undergoing a radiation therapy at C university hospital in K-city, from April, 1992 to October, 1994. The data were obtained using a convenience sampling technique. The tools used for this study were Ro's quality of life scale, Kang's family support scale and Wallston & others health locus of control scale. The collected data were analyzed by the SAS program using percentage, mean, standard deviation, pearson's correlation coefficients. The result were as follows : 1. The total average score of the quality of life of the subjects was 138.95(minimum score 121-maximum score 164), item mean score(range 1-5) was 2.95. The total average score of the family support of the subjects was 32.55 (minimum score 16-maximum score 47), item mean score(range 1-5) was 2.95 The total average score of the health locus of control of the subjects was 37.00 (minimum score 24-maximum score 49), item mean score (range 1-6) was 3.36. 2 The results of the analysis of the relationship between the quality of life scale and the health locus of control were as follows : the total average score in the quality of life of internal locus of control scale was 136.97, the total average score in the quality of life of external locus of control scale was 144.90. 3. There was a significant positive correlation between the health locus of control and the quality of life(r = 0.2927, p<0.01). The result of the analysis of the relationship between the each factor in the quality of life and health locus of control were as follows : There were significant differences between the health locus of control and emotional state factor(r=0.1514, p<0.01), economic life factor(r=0.2560, p<0.05), self-esteem factor(r=0.2289, p<0.05), physical state and function factor(r=0.1455, p<0.05), relationship with neighbors factor(r=0.0754, p<0.05), relationship with family factor (r=0.3324, p<0.01). 4. There was a significant positive correlation between the family support and the quality of life(r=0.459, p<0.001). The result of the analysis of the relationship between the each factor in the quality of life and family support were as follows : there were significant differences between family support and emotional state factor (r=0.3891, p<0.01), self-esteem factor(r=0.2661, p<0.05), relationship with family factor (r=0.4353, p<0.001).
The purposes of this study were to find the correlation between daily life conflicts, depression, social support, family resilience and marital happiness, and to explore the mediating role of family resilience between daily life conflicts, depression and marital happiness. The subjects of the survey were 184 intermarried Korean men. The data were analyzed with frequency, Pearson's correlation and structural equation modeling by SPSS and AMOS. The instruments included Jang (2007)'s Daily Life Conflict, Shin (2001)'s Mental Health Scale, Yu (2004)'s Family Health Scale, and Natham et al. (1973)'s Marital Happiness Scale. The major findings were as follows: Daily life conflicts and depression were negatively correlated with family resilience and marital happiness. Family resilience was positively correlated with marital happiness. Family resilience mediated the effects of daily life conflicts, depression and marital happiness. Daily life conflicts and depression influenced family resilience. In conclusion, in order to build family resilience it is important to intervene in intermarried Korean men's marital happiness through special education programs and counseling.
Purpose: The purpose of this study was to describe perceived family support, life satisfaction, and health promoting behavior (HPB), and to identify factors influencing HPB among the elderly. Method: Study participants were 165 elderly over 65 years of age who were living in C city, Korea. The instruments included the Family Support Scale developed by Kang, Life Satisfaction Scale developed by Choi, Health Promoting Behavior Scale designed by Walker, et al. The data were analyzed using the SAS program by t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression. Results: 1. The scores for family support ranged from 11 to 55, with a mean score of 41.55. The scores for life satisfaction ranged from 0 to 40, with a mean of 22.02. The scores for HPB ranged from 40 to 160 with a mean score of 98.07. In the sub-dimensions of HPB, the participants showed the highest level of engagement in the nutrition domain, and the lowest level of engagement in the exercise domain. 2. Higher levels of family support and life satisfaction were correlated with more engagement in HPB. 3. The most influencing factor on HPB in the elderly was family support. accounting for 11% of the total variance in HPB. A combination of education level and types of living patterns accounted for 18% of the total variance in HPB. Life satisfaction accounted for 14% of the self-actualization domain, and 5% of the stress management domain, in the sub-dimensions of HPB. Conclusion: Perceived family support was identified as an important factor to predict HPB in the elderly. However, life satisfaction was identified as only partially influencing HPB among the elderly.
The purposes of this study were to find correlation between family abuse experience, family stress, social support, family resiliency and happiness in university students, and to explore the mediating role of social support and family resiliency between family abuse experience, family stress and happiness. The subjects were 295 university students. The data were analyzed by means of frequency analysis, Pearson's correlation and structural equation modeling with SPSS and AMOS. Instruments were Lee's(2010) Happiness Scale for university students, Strauss'(1988) CTSP(Parent-Child Conflict Tactics Scale), McCubbin's(1981) FILE(Family Inventory of Life Events and Changes), Yu's(2004) Family resiliency of Family Health Scale and Park's(1985) Social Support Scale. The major findings were as follows; Family abuse experience was positively correlated with family stress and negatively correlated with social support, family resiliency and happiness. Family stress was negatively correlated with family resiliency. Social support and family resiliency were positively correlated with happiness. Family abuse experience positively influenced family stress and negatively influenced social support and family resiliency. Social support positively influenced family resiliency and happiness. Family stress negatively influenced family resiliency. Family resiliency positively influenced happiness. Thus education program and counseling should be provided to increase happiness and family resiliency, and social support should be provide to increase the quality of life for university students.
The aim of this study was to investigate the difference in the level of ADL & QOL by family support in the patients with rheumatoid arthritis. The subjects of the study consisted of fifty-six outpatients with rheumatoid arthritis at a university hospital in Taegu. The instrument used in this study were the family support scale developed by Kang(1984), the ADL scale by Katz et al.(1970) and Barthel(1973), the QOL scale developed by Jo(1993). Data was analysed using descriptive statistics, Pearson Correlation, Chi-square, ANOVA with SPSS program. The major findings are as follows : 1. There was not significant differences in the level of ADL by family support in the patients with rheumatoid arthritis(F=.436, p=.649). 2. There was significant differences in the level of QOL by family support in the patients with rheumatoid arthritis(F=3.782, p=.029). This study showed that the higher level of family support contributed to the better level of QOL in the patients with rheumatoid arthritis. It is recommended to promote the level of family support of rheumatoid arthritis patients with low family support QOL.
Purpose: This study was conducted to determine the predictors of marriage outlook for university students in Korea. Method: A convenience sampling method was used and 438 university students were studied for final analysis. Data collection was conducted through the use of questionnaires which were constructed to include Marriage outlook scale, Family-of-origin Scale-55 and Sexual Knowledge & Attitude Test. Results: Marriage outlook for university students didn't demonstrate a positive point of view. There were positive correlations between marriage outlook, health of the family of origin and sexual awareness. The significant factors influencing marriage outlook of university students were current dating, health of the family of origin, gender, and religion. These factors explained 10.6% of marriage outlook of university students. Conclusions: These results support that special programs are needed in inducing a change in marriage outlook to overcome the low birthrate of Korea. These programs need to consider personal factors including the health of the family of origin, gender and religion.
Purpose: The purpose of this study was to identify the types of family function and mental health in low-income middle aged women using the circumplex model. Method: A descriptive research design was used. A sample of 116 low income middle aged women participated in the study. The Family Adaptability and Cohesion Evaluation Scale III was used to measure the types of family function. Mental health was measured by the SCL. Results: The types of family function identified were balance family (59.4%), extreme family (25.9%), and mid-range family (14.7%). Significant differences were found in mental health by the family cohesion (F=3.44, p=.019) and family adaptability (F=3.31, p=.023). The mental health status of extreme family was better than mid-range family and balanced family, but such result was not statistically significant (F=0.25, p=.783). Conclusion: The Circumplex model's main hypothesis was not empirically supported that extreme family has more problematic than mid-range family and balance family. These findings emphasize the need for the development of a family system model for Korean family.
Purpose: The purpose of this study was to investigate influencing factors on self-care in the elderly with essential hypertension. Method: The research instruments included the Self-Care Scale, the Knowledge Scale Related to Hypertension, the Self-Efficacy Scale and the Family-Support Scale. Results: The self-care was significantly associated with knowledge (r=.510, p=.000), self-efficacy (r=.708, p=.000), and family support (r=.403, p=.000). The major factors that affected subjects' self-care were knowledge and self-efficacy which explained 58.7% of self-care. Conclusion: Hypertension knowledge and self-efficacy are important factors for nursing interventions in caring for elderly patients with hypertension. It is needed to develop nursing programs for elderly patients with hypertension and to provide nursing interventions to improve knowledge and self-efficacy and, thereby, improving the self-care of elderly patients with hypertension.
The purpose of this study was to assess the degree of stress and patterns of coping for that Stressful events on family members because of the hospitalization of the patients. Stress and coping were measured with a tool on the basis of Volicer and Bell's questionnaire. In data collection, the modified 38 items of Volicer's stress scale and Bell's 18 item coping scale were administered. The subjects consisted of 259 family members of general ward-patients in Seoul National University Hospital during April in 1990. They were randomly selected on the basis of relationship of patients; patient's spouse, patient's daughters or sons. The stressors of the family members were ranked as follows; The first rank Stressful events was related to the patient's diseases and pain, the second ones was related ·to caring of their patients and family's psychosocial life. Families used long term coping method significantly more than short term ones. The results indicated that there was no difference in use of coping method between pre and post hospitalization. Finding out more about situation and optimism were the most common coping methods, and the least frequent coping method was the use of drugs. In conclusion, the identification of perceived stress and coping patterns of family members provides useful information for family nursing and aimes at better nursing care for the hospitalized in patients.
Purpose: The purpose of this study was to investigate the level of resilience, family support, anxiety and depression in patients with hematologic malignancy, and to determine modifiable psychosocial factors that affect their resilience. Methods: Data were collected from 104 patients undergoing curative therapy at 'S' hospital in Seoul. The data were collected from April to May, 2012. The questionnaires included Korean Version of Connor-Davidson Resilience Scale, Family Support Scale and Hospital Anxiety-Depression Scale. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation and stepwise multiple regression. Results: Resilience had statistically significant correlation with family support (r=.43, p<.001), anxiety (r=-.49, p<.001) and depression (r=-.52, p<.001). Factors influencing resilience were depression, family support, anxiety and time since diagnosis with R-sq. value of 36%. Conclusion: The results of the study show that family support, anxiety and depression have important influences on resilience of patients with hematologic malignancy. Thus, family support needs to be reinforced when developing and implementing nursing intervention, and nurses need to intervene to reduce anxiety and depression of patients with hematologic malignancy.
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