• Journal of Korean Academy of Nursing
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• v.27 no.4
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• pp.901-911
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• 1997

The purpose of this study is to provide a basis for nursing intervention strategies to promote quality of life in cancer patients. Therefore the study is designed to evaluate the effectiveness of perceived health status, self-esteem, health locus of control, self-efficacy, perceived susceptibility /severity, health promoting behaviors, and hope for quality of life. The sample was composed of 164 stomach cancer patients who visited outpatient clinics at a university hospital in Seoul. The following instruments were used in the study after some adaptation : Lawstone and others' Health Self-rating Scale, Rosenberg's Self-esteem Scale, Wallston and others 'Multidimensional Health Locus of Control Scale, Sherer & Maddux's Self-efficacy Scale, Moon's Health Beliefs Scale, Walker and others' Health Promoting Lifestyle Profile, Nowotney's Hope scale and Noh's Quality of Life Scale. Data were analyzed using a SAS program for Pearson correlation coefficients, descriptive correlational statistics and stepwise multiple regression. The results are as follows : 1. The scores on the quality of life scale ranged from 115 to 243 with a mean of 177.84(SD : 25.35). The mean scores(range 1-5) on the different dimensions were : emotional state 3.37 : economic life 3.47 : physical state & function 3.52 : self-esteem 3.66 : relationship with neighbors 3.37 ; family relationships 3.80. 2. There was a significant correlation between all the predictive variables and the quality of life (r=.20-.65, p<.01). 3. Stepwise multiple regression analysis showed that : 1) Self-esteem was the main predictor of quality of life and accounted for 46.9% of the variance in quality of life. 2) Perceived health status, hope and perceived susceptibility/severity accounted for 11.8%, 8.3%, 1.5% of the variance in quality of life, respectively. 3) Self-esteem, perceived health status, hope & perceived susceptibility /severity combined accounted for 68.5% of the variance in quality of life. In conclusion, self-esteem, perceived health status, hope and perceived susceptibility / severity were identified as important variables in the quality of life of cancer patients.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.523-529
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• 2015

Background: This study was planned in an attempt to develop a scale for the quality of life in pediatric oncology patients aged 7-12, with child and parents forms. Materials and Methods: In collecting the study data, we used the Child and Parent Information Form, Visual Quality of Life Scale, Scale for Quality of Life Pediatric Oncology Patients Aged 7-12 and the Scale for the Quality of Life in Pediatric Oncology Patients Aged 7-12 for Parents. We also used Pearson correlation analysis, the Cronbach alpha coefficient, factor analysis and ROC analysis for the study data. Results: In this study, the total Cronbach alpha value of the parent form was 0.96, the total factor load being 0.54-0.90 and the total variance explained was 82.5%. The cutoff point of the parent form was 93 points. The total Cronbach alpha value for the child form was 0.96, with a total factor load of 0.55-0.91 and the total variance being explained was 78.3%. The cutoff point of the child form was 65 points. Conclusions: This study suggests that the Scale for Quality of Life in Pediatric Oncology Patients Aged 7-12 Child and Parents Forms are valid and reliable instruments in assessing the quality of life of children.

• Journal of Korean Academy of Nursing
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• v.34 no.7
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• pp.1334-1342
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• 2004

Purpose: This study was to investigate the factors influencing quality of life and difference of quality of life in a postmenopausal group compared to premenopausal women. Method: The subjects consisted of 213 women from 40 to 64 years old. The data were collected from June 1, 2003 to June 31, 2004 using structured questionnaires which included questions relating to demographic and obstetric background and 4 scales(climacteric symptoms scale, marital satisfaction scale, sex-role attitude scale, quality of life scale). Result: Comparing pre- and postmenopausal women, significant statistical differences were demonstrated in climacteric symptoms and sex-role attitude. However, quality of life was not different between pre- and postmenopausal women. In premenopausal women, marital satisfaction($32.7\%$) and educational level($8.0\%$) were significant predictors to explain quality of life. Marital satisfaction($12.9\%$) was significant predictor to explain quality of life in postmenopausal women. Conclusion: No difference of quality in life between pre- and postmenopausal women provides information for changing traditional approaches of menopause according to physiological changes as illness. In addition the study showed that it is necessary to use marital satisfaction information when developing nursing interventions to promote the quality of life.

• Anxiety and mood
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• v.11 no.2
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• pp.149-154
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• 2015

Objective : The aim of the study was to investigate the difference in alexithymia between anxiety disorder and depressive disorder. The second was to evaluate the effect of alexithymia on quality of life in patients with anxiety disorder and depressive disorder. Methods : A total of 175 patients with diagnoses of anxiety disorder or depressive disorder were recruited. Demographic, psychosocial, and clinical data were analyzed, as well as results on the 20-item Toronto alexithymia Scale (TAS-20K), the Symptom Checklist-90-Re-vised (SCL-90-R), a quality of life scale, the Beck Depression scale, and Beck Anxiety Inventory. Results : As compared with the patients with anxiety disorder, patients with depressive disorder showed significantly higher total score on the TAS-20K and for factor 1 (difficulties identifying feelings) and factor 2 (difficulties describing feeling) scales of the TAS-20K and showed significantly lower scores of psychosocial well-being on the quality of life scale. Total scores on the TAS-20K correlated significantly with scores for some subscale on the quality of life scale. Conclusion : This study suggest that patients with depressive disorder had more alexithymic symptoms and worse quality of life compared with those with anxiety disorder. Also, alexithymic symptoms are found to be associated with quality of life. Therefore, clinicians should try to focus on relieving symptoms to help patients restore their psychological well-being and improve their quality of life.

• Anxiety and mood
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• v.10 no.2
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• pp.137-142
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• 2014

Objective : The aim of this study was to investigate the relationship among daytime sleepiness, depressive symptoms, anxiety symptoms, and stress response of students in a university Methods : A total of 557 students were recruited in this study. The participants filled out stress response inventory, Epworth sleepiness scale, overall anxiety severity and impairment scale, and quality of life scale. Results : Excessive daytime sleepiness group showed higher scores in all factors in stress response inventory, overall anxiety severity and impairment scale, and quality of life scale. Sleepiness might be correlated with somatization and depression and anger in Stress response inventory. Conclusion : Excessive daytime sleepiness group exhibited poor quality of life scale. Screening about overall quality of sleep, such as mood and anxiety should be considered for students in a university.

• Research in Community and Public Health Nursing
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• v.13 no.4
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• pp.679-688
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• 2002

Purpose: The purpose of this study was to examine the relationships among self-care, self-care agency, self-efficacy, and quality of life in type II diabetic patients registered at a public health center. Method: The study subjects were 128 type II diabetic patients who were living in G city. The data were collected from March 2001 to February 2002. The instruments used for this study were the self-care scale developed by Jeung(1997) and designed by Park (1984) based on the original scale, the self-care agency scale developed by So (1992), the self-efficacy scale developed by a Jeung (1997) and designed by Paek (1996) based on the original scale, and the quality of life scale developed by Ro (1988). The data were analyzed using descriptive statistics, pearson correlation coefficient, and stepwise multiple regression. Results: 1. The relationships among self-care, self-care agency, self-efficacy, and quality of life were significant. Self-care was significantly related to self-care agency (r=.609. p<.01), self-efficacy (r=.763. p<.01), and quality of life (r=.493. p<.01). 2. The stepwise multiple regression analysis was performed to identify factors influencing quality of life of the subjects. The most powerful predictor was self-care agency (48.4%). The combination of self-care, complication status, age, education level, and self-efficacy accounted for 88.7% of the variance of quality of life in type II diabetic patients. Conclusion: The results suggest that self-care, self-care agency, self-efficacy, and quality of life are important variables for development of nursing intervention programs for patients with diabetes.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.21 no.2
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• pp.103-109
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• 2010

Objectives : The purpose of the current study was to evaluate subject quality of life in depressed parents of boys with Duchenne/Becker muscular dystrophy (DMB/ BMD). In addition, a specific relationship between subject quality of life and the severity of depressive symptom was explored. Methods : The participants were 15 depressed parents who had moderate to severe depressive symptoms and 35 nondepressed parents of boys with DMD/BMD. All participants completed the World Health Organization Quality Of Life Scale, Brief Version and the Beck Depression Inventory. Other instruments included the Family Relationship Scale and the Child Behavior Checklist. Results : Among various model predictors, only higher score on the Beck Depression Inventory predicted lower scores on all domains of the World Health Organization Quality Of Life Scale, Brief Version. In addition, depressed parents had significantly lower scores on all domains of the World Health Organization Quality Of Life Scale, Brief Version including physical health, psychological health, social relationships, and environment, relative to non-depressed parents. Conclusion : Findings of the current study suggest that all domains of subjective quality of life may be influenced by depressive symptoms in parents of boys with DMD/BMD.

• Journal of Korean Critical Care Nursing
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• v.6 no.1
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• pp.21-33
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• 2013

Purpose: The purpose of this study was to examine the relationship between lymphedema self-care management and quality of life in breast cancer patients with mastectomy and lymphedema. Methods: One hundred and eighty-six breast cancer patients with mastectomy and lymphedema (n=186) were recruited at a medical center located in Seoul. The levels of lymphedema self-care management and quality of life were measured by the scale for measurement of practice in lymphedema self-care management, European Organization for Research and Treatment of Cancer-Quality of Life Core 30 (EORTC QLQ-C30) and European Organization for Research and Treatment of Cancer-Quality of Life Questionnaire Breast Cancer Module (EORTC QLQ BR23), respectively. Data were analyzed with SPSS 18.0 program. Results: There were statistically significant correlations between lymphedema self-care management and general health status/quality of life in mastectomy patients with lymphedema (r=.30, p<.001). The physical function score of cancer related function scale (r=-.15, p=.033), fatigue score of cancer related symptom scale (r=.15, p=.036), systemic side effect score of breast cancer related symptom scale (r=.45, p=.034), and upset by hair loss (r=.27, p=.004) were significantly correlated with quality of life. Conclusion: The findings suggest that these significant factors should be considered when caring for lymphedema patients.

• Korean Journal of Adult Nursing
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• v.12 no.4
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• pp.741-757
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• 2000

This study was undertaken to develop an instrument to be used for measuring the concept of quality of life of Korean patients with cancer multidimensionary and correctly. It can contribute in holistic nursing care for Korean cancer patients and also provide and validate basic data to help oncology nurses measure the outcome of nursing intervention correctly. To develop this instrument, the researchers first estabilished a conceptual framework based on the results of qualitative data analysis and indepth interview method Development of the scale was conducted using a method in which 31 items were assessed by subjects' self report using linear analogue scales. The subjects were 79 D.M. patients, 103 patients with acute illness, and 91 cancer patients residing in Busan, Korea. Data were collected during the period from July, 24 to August 14, 2000. This instrument consisted of 31 items with a self report scale. This instrument covered 4 dimensions of cancer patients : 1) physical wellbeing 2) psychological wellbeing 3) social wellbeing and 4)spiritual wellbeing. Each item had a possible score of 10. The reliability of the scale was tested with Cronbach's alpha. Validity was evaluated by examining the relationships of this scale, Youn's Quality of Life Questionnare scores and the Simple Quality of Life scale. Two separate runs of multiple regression were used to predict scores on the Simple Quality of Life measurement. Further validation was obtained by examining the correlation between the instrument subscores and Youn's Quality of Life measurement subscore for convergence of this scale. Examination of the discriminant. power of the instrument was done using ANOVA test. The results are summarized as follows: 1. The reliability of the instrument for the quality of life was 0.8321(Cronbach's alpha.), physical wellbeing dimension 0.6343, psychological wellbeing dimension 0.6501, spiritual wellbeing dimension 0.5883. 2. This instrument had a high correlation with Youn's Quality of Life measurement(r= 0.636) in cancer patients, whereas it had a low correlation with Simple Quality of Life measurement(r=0.455) in cancer patients. In the D.M. patients, the instrument correlated with both the Youn's Quality of Life measurement and Simple Quality of life measurement(r=0.313, r= 0.407) and in the acute stage patients, the instrument had no correlation. 3. Multiple regression of individual items on the Simple Quality of Life scores accounted for 56.8% of the variance in the Simple Quality of Life measurement, whereas, Youn's Quality of Life measurement scores accounts for 31.7%. 4. The correlations collected from the three group had the same patterns of variations but especially the instrument developed in this study had higher disciminant power than that of Youn's Quality of Life Measurement.

• Research in Community and Public Health Nursing
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• v.24 no.4
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• pp.461-470
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• 2013

Purpose: This study examined factors influencing subjective quality of life in baby boom generation men. Methods: This was a descriptive survey study. Data were collected from 279 baby boom generation men from September to October 2012. The instruments used included a subjective quality of lifescale, a self-esteem scale, a spiritual well-being scale, a communication with spouse scale, a social support scale, and a job satisfaction scale. Data were analyzed using descriptive statistics, t-test, one-way ANOVA and Scheff$\acute{e}$ test, Pearson's correlation coefficients, and Hierarchical multiple regression. Results: All variables were positively correlated with subjective quality of life. As a result, factors influencing subjective life of quality were self-esteem (${\beta}$=.21, p<.000), social support (${\beta}$=.20, p<.002), job satisfaction (${\beta}$=.19, p<.001), communication with spouse (${\beta}$=.15, p<.004), spiritual well-being( ${\beta}$=.16, p<.004), and family income (${\beta}$=.15. p<.023). These factors accounted for 61% of the total variances. Conclusion: The findings indicate a need to develop nursing intervention programs for community health nurses in consideration of these variables to improve the subjective quality of life for baby boom generation men.