• Korean Journal of Adult Nursing
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• v.24 no.4
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• pp.339-347
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• 2012

Purpose: The purpose of this study was to identify the influencing factors on health related quality of life in middle age. Methods: Data were as collected by self-reported questionnaires from 303 middle age adults. Data analysis was done using SPSS/WIN 17.0 program for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Results: The average score of health related quality of life was $79.50{\pm}0.40$. Health related quality of life was statistically significant differences according to gender, education, economic status and disease. The health related quality of life was significantly correlated with fatigue, depression, stress, social support, somatic attribution, psychological attribution, normalizing attribution and type D personality. The major factors that affect health related quality of life in middle age were stress, fatigue, type D personality and normalizing attribution, which explained 51.3% of health related quality of life. Conclusion: The findings can provide the basis for the development of nursing interventions to improve health related quality of life. Furthermore, more studies are needed to explore variables that influence on the health related quality of life in middle age.

• Journal of Agricultural Extension & Community Development
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• v.27 no.1
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• pp.1-16
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• 2020

The study aims to examine how everyday life skills of disabled seniors in rural areas affect their depression and self-esteem through their quality of life and explores how to improve the quality of life of disabled seniors. To achieve this, 238 participants who were registered as disabled and aged 65 or over took part in this research. Results showed that the quality of life among disabled seniors decreased when their everyday life skills were relatively more advanced than those of non-disabled people. It was also found that the high level of everyday life skills possessed by disabled seniors caused more severe depression and lower self-esteem. Their quality of life negatively affected self-esteem and depression and their everyday life skills were a key factor that influenced depression and self-esteem.

• Asian Journal for Public Opinion Research
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• v.2 no.1
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• pp.32-51
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• 2014

Quality of Life in Pakistan is an understudied and rather unexplored domain. With various definitions and challenges to explaining quality of life, a public opinion poll and scientific surveys have been conducted in order to find out more about the quality of life in Pakistan. Using a nationally representative sample, this paper seeks to identify quality of life measures, find results, and analyze them to see what they mean, specifically in the context of Pakistan.

• Journal of Families and Better Life
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• v.15 no.4
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• pp.315-326
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• 1997

This study was designed to examine the quality of life among new generation housewives. Selected variables were home management consciousness and home management behavior, and satisfaction with family life. Path analysis was used to test the causal model of quality of life. The data for this study were collected from 834 housewives, and analyzed employing SPSS $PC^+$ statistical package. Major findings were as follows: 1. The satisfaction with family life was the strongest predictor of the quality of life. 2. Home management behavior had both direct and indirect effect via satisfaction with family life on the quality of life. 3. Home management consciousness had indirect effect through home management behavior and satisfaction with family life on the quality of life. Implications were discussed.

• The Korean Journal of Health Service Management
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• v.9 no.4
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• pp.171-182
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• 2015

Objectives : The aim of this study was to identify the effect of employment type on health-related quality of life. Methods : This study used data from the Sixth Korea National Health and Nutrition Examination Survey. Data were analyzed with the ${\chi}^2$ test, t-test, ANOVA and multiple regression. Results : There were significant statistical differences the health-related quality of life according to employment type. The health-related quality of life of temporary workers was lower than that of regular workers. The significant predictors of the health-related quality of life of regular workers were the subjective health status, stress, age, and education. The significant predictors of the health-related quality of life of temporary workers were the subjective health status, education, stress, sleeping time, and gender. Conclusions : These results suggest that employment type affects the health-related quality of life. The research on social policy is recommended to resolve health inequalities.

• Research in Community and Public Health Nursing
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• v.21 no.1
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• pp.12-20
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• 2010

Purpose: The purpose of this study was to identify the predictors of health-related quality of life and to examine their effects in frail elderly. Methods: This was a correlation study. The subjects were 680 frail elders aged over 65 who were receiving home care from one of 253 public health centers in 16 provinces, and data were collected from the 1st to 30th of April, 2008. Results: The mean health-related quality of life in the subjects was $6.0{\pm}2.0$. The predictors identified in this study significantly explained 41.3% of health-related quality of life. Self-rated health was the most significant predictor of health-related quality of life. ADL and depression had an effect on health-related quality of life. Conclusion: Self-rated health, ADL and depression were the predictors of health-related quality of life in the frail elderly.

• Journal of the Korean Home Economics Association
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• v.23 no.3
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• pp.149-167
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• 1985

This paper aims at measuring the quality of life in the context of social well being. To meet this purpose, several objective and subjective indicators of the quality of life were selected them the recent theoretical studies in thisfield. Then, a zuestionnaire survey was made on random sampled urban failies to find out the relationship among the two sets of indicators and the quality of family life. The data obtained from the survey were analyzed using Pearson's correlation analysis, multiple regression methods and One-way ANOVA. RESULTS : 1. The quality of life of the high-income earners is higher than that of the low-income earners. 2. The quality of life tends to be high in the family with spouse'high educational background. 3. The degree of coctribution of the objective and subjective indicator to the quality of life was very high. 4. The objective indicator and the subjective indicator concerning the quality of life was closely related.

• 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.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.25 no.1
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• pp.88-100
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• 2021

Objectives The purpose of this study was to examine the daily lifestyle of Vietnamese immigrant women and to find out if they could affect health-related quality of life improvement. Methods The subjects of this study were 273 women who immigrated to Korea from Vietnam. This study was conducted at Daejeon and nearby Healthy Family Support Centers from September 2019 to January 2020 with the cooperation of the Daejeon City Healthy Family Support Center. Correlation analysis was performed between lifestyle and quality of life, and ANOVA analysis was performed to confirm the difference in health-related quality of life scores for each subgroup of dietary nutrition, sleep quality, and physical activity. A regression analysis was conducted to investigate the contribution of dietary nutrition, sleep quality, and physical activity to the quality of life of Vietnamese immigrant women. The significance level was p<0.05. Results Physical activity showed significant correlations with Euro Quality of Life -Visual Analogue Scale (EQ VAS), sleep quality with EQ VAS and Euro Quality of Life-5Dimension (EQ-5D) Index, and dietary nutrition with EQ-5D Index. There were significant differences in EQ VAS and EQ-5D Index scores for each sleep quality subgroup, and a significant difference in EQ VAS scores for each activity subgroup. The quality of sleep was found to have the greatest effect on EQ VAS and EQ Index of Vietnamese immigrant women, and physical activity on EQ VAS and dietary nutrition had some influence on EQ-5D Index. Conclusions Quality of sleep is closely related to health-related quality of life, and plays an important role in health-related quality of life for Vietnamese immigrant women.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.3
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• pp.320-328
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• 2012

Purpose: Professional quality of life is the quality one feels in relation to their work as a helper. The purpose of this study was to describe professional quality of life among emergency nurses. Methods: A total of 15 emergency rooms were selected in three cities. Among 263 nurses working at these emergency rooms, 178 nurses consented to participate in this cross-sectional survey. Professional Quality of Life (ProQOL) Scale version 5 was used to measure compassion satisfaction, burnout and secondary traumatic stress. Cluster analysis was used to classify nurses according to professional quality of life. Results: The mean scores (SD) for compassion satisfaction, burnout, and secondary traumatic stress were 32.12 (5.45), 28.27 (4.28), and 28.20 (5.07), respectively. The result of cluster analysis according to standardized score of compassion satisfaction, burnout, and secondary traumatic stress yielded three clusters. Over 50% of participants showed low professional quality of life. Nurses who were included in a cluster representing low professional quality of life were younger, had shorter periods of nursing experience, and perceivedlower social support than other cluster. Conclusion: Education or support programs for emergency nurses are needed to enhance their professional quality of life.