• Korean Journal of Hospice Care
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• v.6 no.2
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• pp.69-78
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• 2006

Purpose: This study was conducted to analysis relationship about quality of life and family burden of the home-based hospice patient families. Method: The subjects consisted of 94 families with home-based hospice patient. The ages of the subjects were 17-73 years with hospice patient who receivedhome visiting care and registered at 4 hospitals in Daegu and Kyung-Buk. The data was collected from March to November 2004. The instruments used for the study were Quality of Life Scale (GLS) and Family Burden Questionnaire (FBQ). The analysis was done using frequency, mean, standard deviation, correlation and stepwise multiple regression with SPSS WIN 11.0. Results: The results were as follows: 1. The mean score of family burden was 3.36 ($\pm0.55$). The highest mean score of family burden 6 factors were wellness of future 3.85($\pm1.10$), and the second was economic family burden 3.63($\pm0.97$). 2. The mean score of quality of life was 3.09 ($\pm0.48$). The lowest score of quality of life 6 factors were economic status 2.86($\pm0.54$), and the second was physical state and function 3.01($\pm0.62$). 3. In the home-based hospice patient families, family burden had significant negative correlation with quality of life(r=-0.25, p=0.012). 4. Emotional status accounted for 11% of family burden in the home-based hospice patient families by means of stepwise multiple regression. 5. Economical status accounted for 18 and age accounted for an additional 11% of quality of life in the home-based hospice patient families by means of stepwise multiple regression. Conclusion: The finding showed that family burden and quality of life of home-based hospice patient families were significantly negative correlation and the highest factor of family burden was wellness of future and the most important factor of quality of life was economic status.

• The Korean Journal of Health Service Management
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• v.7 no.2
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• pp.23-35
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• 2013

A study of the factors influencing the quality of life and social support of people suffering with mental disabilities, who use mental health centers. The purpose of the study includes the general characteristics of subjects, characteristics of the mental health center, the mean score of social support and quality of life of people living with mental disabilities. The 132 questionnaires were administered by meeting directly with subjects and personal visits. 112 Questionnaires were returned(85% response rate). Data was collected from mentally disabled patients in Chungnam Mental Health Center. difference in quality of life by using t-test, one way ANOVA table, the relationship between social support, quality of life by pearson correlation coefficients, and relevant factors affecting quality of life by multiple regression with the SPSS 19.0 program. This study revealed that the group that participated regularly in the day time rehabilitation program showed better social support and positive attitude to a better quality of life than the other group that participated irregularly. This result is directly proportional to the participation frequency to the program during the recent 3-month duration. Another correlation with religion was found in the study due to the fact that a buddhist group showed positive significance in quality of life than non-religious groups. The results show positive correlation between the improvement of the quality of life of patients living with mental disabilities and the social support they receive.

• The Journal of Korean Society for School & Community Health Education
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• v.11 no.2
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• pp.57-69
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• 2010

Objectives: The purpose of this study was to evaluate the effect of nutrition and health-related behavior on quality of life in some adolescents. Methods: The subjects of this study were total 243 middle school students in Deagu, Korea. A self-administrated questionnaires were used to obtain general characteristic, health-related behaviors, nutrition status, and quality of life. The height and weight of participants were measured, then calculated body mass index(BMI). To assess an association between nutrition and health-related behavior and quality of life, an univariate and multivariate analysis were applied using PASW Statistics 18(SPSS Inc, Chicago, USA). Results: As the perceived general health and subjective happiness were better, there were a higher score for all subscales of quality of life. The adolescents, the highest of total intake of energy and overweight, were more likely to have lower quality of life score but there were no statistically significant. Factors related to the adolescents's quality of life were found to be gender, perceived general health, subjective happiness and physical activity. Conclusions: Various factors were related to quality of life in adolescents. To improved the quality of life in adolescent, it is need to develope a physical activity program and counseling of mental condition as well as adequate diet programs.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.35-47
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• 2023

Purpose : As the population aging deepens, the number of elderly people with arthritis is also continuously increasing. Accordingly, this study intended to identify the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to household type and provide baseline data for developing a measure to enhance the life quality of the elderly with arthritis. Methods : The factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis were identified based on the raw data from the Korea national health and nutrition examination survey conducted in 2021. Data were analyzed with SPSS Statistics ver 25.0 for windows (IBM Corp), and the significance level (α) was set to .05. Statistical analysis was performed with t-test, ANOVA, multiple regression analysis, and post-hoc analysis with Duncan test. Results : The factors that influenced the health-related quality of life (HINT-8) of single-households were medical aid (β=-.17, p=.045), restriction of activity (β=-.17, p=.023), self-rated health status (β=.29, p<.001), and anxiety scale (β=-.36, p<.001). The factors that influenced the health-related quality of life (HINT-8) of multi-households were an age of 75 or over (β=-.14, p=.011), living in rural (β=-.14, p=.003), the outpatient department treatment experience (β=-.09, p=.047), self-rated health status (β=.26, p<.001), anxiety scale (β=-.29, p<.001), and stress (β=-.22, p<.001). Conclusion : Factors affecting the health-related quality of life (HINT-8) of the elderly with arthritis were found to be different between single-person households and multi-person household. Therefore, it is necessary to prepare measures to improve the quality of life of the elderly with arthritis by considering the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to the household type identified in this study.

• Korean Journal of Head & Neck Oncology
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• v.16 no.2
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• pp.191-195
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• 2000

Objectives: Despite various attempts to preserve the normal voice in advanced laryngeal cancer, it is inevitable for many advanced laryngeal cancer patients to undergo total laryngectomy and thus making a trade off between quality and quantity of life. Laryngectomees are faced with voice loss, change in physical appearance and health deterioration which hinder their efforts to rehabilitate back into their family and employment leading to poor quality of life. The objectives of this study were to evaluate the quality of life in long term surviving laryngectomees to, define the factors which are most important in determining their present quality of life and to propose a theoretical model for quality of life after laryngectomy in Korea. Materials and Methods: From 1986 to 1995, 120 laryngectomees with no evidence of disease were followed up for at least 3years were evaluated. Each of 15 quality of life domains with a total of ten points were given for a quality of life score. Results: There was no significant difference in the physical-mental adaptation index such as general health and mental health between the laryngectomees and control group(p>0.05). However, social adaptation index such as social activity, occupational status and economic status for laryngectomees were significantly lower with 2.3, 3.5, and 4.4 points compared to control group with 8.5, 7.6, and 7.1 points respectively(p<0.05). Conclusion : Vocational and social rehabilitation should be emphasized with highest priority for improving their economic status and thus improving their quality of life.

• Journal of Korean society of Dental Hygiene
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• v.5 no.1
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• pp.89-99
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• 2005

The purpose of this study was conducted to evaluated the effects of oral health related quality of life and impacts of oral health related quality of life of early adult group through a questionnaire OHRQoL(Oral health related quality of life). The study subjects were 224 women college students. The results of this study were as follow; 1. Physical aspects score was $41.98{\pm}7.78$, social aspects score was $33.04{\pm}7.25$, psychological aspects score was $32.50{\pm}7.50$ in effects of oral health related quality of life. 2. Physical aspects score was $25.49{\pm}4.86$, social aspects score was $20.65{\pm}4.47$, psychological aspects score was $19.84{\pm}5.53$ in impacts of oral health related quality of life. 3. The better oral health was the higher effects of oral health related quality of life(pE0.05). No missing tooth(pE0.01), use of oral health device(pE0.05), no experience oral health education(pE0.05) group was higher impacts score of oral health related quality of life. 4. The significantly correlated among all items on effects of oral health related quality of life. Therefore it suggested that college students oral health program, need precision oral exam and oral health education.

• Journal of muscle and joint health
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• v.21 no.2
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• pp.125-134
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• 2014

Purpose: The purpose of this study was to identify factors associated with quality of life of nursing students during clinical practice. Methods: A convenience sample of 332 nursing students completed the questionnaire from July to September, 2013. A self-reported questionnaire was used to obtain data on quality of life, stress related to clinical practice, and health promotion behavior. Data was analyzed with independent t-test, one way ANOVA and Scheff${\acute{e}}$'s post hoc test, Pearson correlation coefficients, and hierarchical multiple regression by using SPSS version 20.0. Results: There were significant differences in quality of life scores by age, economic status, interpersonal relationships, daytime somnolence, number of visits in pharmacy and/or healthcare center, health status, and stress management. Quality of life had positive correlation with health promotion behavior but had negative correlation with the level of stress related to clinical practice. Models including these variables explained 34.3% (F=9.77, p<.001) of the variance for quality of life. Age, economic status, sleep amount, numbers of pharmacy/hospital visits, health status, stress during clinical practice, and health promotion behavior were significantly associated with quality of life in nursing students. Conclusion: There is a need to develop and implement new strategies that will result in improvement in nursing students' quality of life.

• Physical Therapy Korea
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• v.16 no.3
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• pp.69-78
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• 2009

The purpose of this study was to assess the level of quality of life and related factors among the elderly in Korea. In particular, we focused on factors affecting the quality of life of the elderly in long term care. We used the third Korean National Health and Nutrition Examination Surveys (KNHANES) from 2005. We sampled a total of 3,571 (10.5%) elderly from the national survey. We compared the mean of quality of life to socioeconomic status, Activities of Daily Living (ADL), health behavior, and disease variables. We used EuroQol-5D among KNHANES to assess the quality of life. In this study, the mean score of the quality of life among the elderly was 2.57. Logistic regression showed that the elderly who were male, with spouses, with health insurance, and with good ADL levels enjoyed higher quality of life scores and odds ratios than those who were female, divorced, uninsured, and with low ADL levels (p<.05). The quality of life of the elderly was affected by socioeconomic, ADL, health behavior and disease variables. To improve long term care and the quality of life among the elderly, we need detailed research to clarify the effects of these factors.

• Journal of Korean Medical Ki-Gong Academy
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• v.13 no.1
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• pp.105-144
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• 2013

This study intended to provide fundamental data to take countermeasures against recurrent stress by analyzing the health-related quality of life and factors for recurrent stress of alcohol dependents. Structured questionnaire was prepared for patients who quitted drinking after they had been hospitalized for alcohol dependence to take medical treatment but suffered recurrence, and analysis on health-related quality of life and environmental factors with drinking risk was conducted. The quality of life was at a relatively satisfactory level, where pain was found at the highest level and general health condition was found at the lowest level. Environmental factors with drinking risk were found to be a moderate level, drinking for the reason of family and friends in terms of complications with other persons was found to be highest, and then job, self control, bad emotions, and social pressure on drinking were found in order. For health-related quality of life, the quality of life was found to be high in case of the only son, professional job, well-educated persons, and no history of hospitalization. Regarding factors for recurrent stress, stress was found to be high in case of the eldest son and being without religion, and the lower was the quality of life, the higher were recurrent stress and environmental factors with drinking risk. It was found that demographic factors including age, marriage, and job influenced the recurrence of alcohol dependence, and factors for recurrent stress, etc. also influenced recurrent alcohol dependence with drinking risks. Specially, the lower was the quality of life, the higher were factors for recurrent stress, and drinking risks, therefore measures to improve the quality of life are required to be taken to prevent alcohol dependence from recurrence.

• Journal of Korean society of Dental Hygiene
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• v.15 no.6
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• pp.1117-1123
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• 2015

Objectives: The purpose of the study was to examine the influencing factors of oral health-related quality of life in adults. Methods: A self-reported questionnaire was completed by 300 adults in Seoul and Gyeonggido from June to July, 2015 by convenience sampling method. Except 19 incomplete answers, 281 data were analyzed by t test, one way ANOVA, Pearson's correlation coefficient analysis, and multiple linear regression analysis using SPSS 18.0 program. The questionnaire consisted of general characteristics of the subjects, health-related characteristics, whole body dry symptoms and subjective perception of dry mouth. The oral health-related quality of life was measured by Likert five points scale, and a higher score indicated a lower quality of life. Results: The oral health-related quality of life in adult varied by age, systemic diseases, oral health status, missing tooth, stress, decayed tooth, gingival disease. The oral health-related quality of life had positive correlations with the subjective perception of dry mouth and whole body dry symptoms. The subjective perception of dry mouth(${\beta}$=0.245) had the influence on the oral health-related quality of life, oral health status(${\beta}$=-0.209), gingival disease(${\beta}$=-0.151), and decayed tooth(${\beta}$=-0.146) in order. Conclusions: The oral health-related quality of life was closely related to the subjective perception of dry mouth and the oral health status. It is necessary to develop the quality of life improvement programs including oral health prevention and care program in the adults.