Purpose: This study was aimed to identify the health related quality of life(HRQoL) by job characteristics and its predictors in Korean adult women. Methods: This study used data from cross-sectional surveys conducted for the 2005 National Health and Nutrition Survey, which was performed by using a face-to-face interview method. The data were analyzed by ANOVA, t-test and multiple regression using the SPSS program. Demographic characteristics, subject health state, EQ-5D were included in the study instruments. Results: The mean HRQoL index in the subjects was $0.792{\pm}0.102$. There were significant statistical differences on HRQoL among job characteristics. The health related quality of life of non-physical workers was the highest. The significant predictors of the HRQoL of all subjects were the subjective health status, the present health status compared to the previous year, education, age, marital status and income. The factors accounted for 22.1% of variance in the health related quality of life and the predictors of the HRQoL among job characteristics were different. Conclusion: These results may contribute to development of nursing strategy to improve female health related quality of life. The health related quality of life program for adult women by job characteristics is advised based on results of the study.
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.
Purpose: To identify factors influencing health-related quality of life for young single-person households, this study investigated physical and mental health status, health behavior, depression, resilience, and health-related quality of life. Methods: An online survey was administered to members of young single-person households from March 22 to 30, 2022. The data were analyzed using the chi-square test, independent t-test, one-way analysis of variance, Pearson correlation coefficients, multiple regression, and a simple mediation model applying the PROCESS macro model 4 with 95% bias-corrected bootstrapped confidence intervals. Results: The participants were 229 members of young single-person households. Health-related quality of life showed significant relationships with residence (t = 2.80, p = .006), month (F = 3.70, p = .026), mental health status (F = 20.33, p < . 001), and high-intensity exercise (F = 7.35, p = .001) among general and health-related characteristics. Health-related quality of life had significant correlations with depression (r = -.72, p < .001) and resilience (r = .58, p < .001). Multiple regression analysis showed that depression (β = -.57, p < .001) and resilience (β = .21, p < .001) influenced health-related quality of life. Moreover, resilience had a mediating effect between depression and health-related quality of life (indirect effect = -0.002, 95% bias-corrected bootstrapped confidence interval = -0.003 to -0.001). Conclusion: Members of young single-person households tended to be more vulnerable to emergency situations, such as during the coronavirus disease 2019 pandemic, when lockdowns and quarantines were frequent. To improve health-related quality of life in young single-person households, people with high levels of depression or low levels of resilience need special attention and support to promote mental health.
Purpose: With the first generation of marriage-based immigrant women in East Asia now reaching their middle or old age, the need to focus investigations on their health-related quality of life has arisen. This study aimed to examine the extent to which physical and mental health, and psychosocial variables can predict health-related quality of life among Japanese middle-aged immigrant women. Methods: This study has a descriptive cross-sectional design. A convenience sample of 197 Japanese middle-aged marriage-based immigrant women from two regions of South Korea were recruited between December 2017 and March 2018. Participants completed self-administered questionnaires on health-related quality of life, menopausal symptoms, depression, perceived health status, disease morbidity, social support, and acculturation. The data were analyzed using hierarchical multiple regression. Results: Depression was the strongest predictor of health-related quality of life, followed by perceived health status, social support, and household income. Menopausal symptoms, presence of disease, and acculturation appeared to have no additional impact on participant's health-related quality of life. Conclusion: In times of rapid growth of global migration and the aging of immigrants in new destination countries, nursing interventions and public health policies for aging marriage-based immigrant women should be prioritized to improve their mental health by facilitating social support and disease management. In addition, social and employment policies that can help immigrant women transition to a healthy midlife are needed.
Objectives : The purpose of this study is to investigate the correlation factors to oral health-related quality of life in Chinese students studyng in Korea. Methods : A self-reported questionnaire was filled out by 231 students from November, 2012 to January, 2013. Data were analyzed by t-test, one way ANOVA, and Duncan post-hoc test using SPSS version 19.0. Results : Male students and short period staying students tended to have a higher quality of life. Smokers and large city dwellers tended to have a low oral health-related quality of life(p<0.05). The oral health-related quality of life in Chinese students in Korea was closely related to necessity of dental treatment and past experience of dental treatment services(p<0.05). Conclusions : To improve the oral health-related quality of life in foreign students, it is necessary to provide the early prevention of dental caries and periodontal diseases through the systematic and professional dental health care delivery program for the foreign students studying in Korea.
Purpose: This study was to identify health-related quality of life of Korean young adults and elderly with multimorbidity and to examine factors influencing their health-related quality of life. Methods: Health-related quality of life was measured by the Korean version of the EQ-5D. Using a descriptive study, the study incorporated a secondary analysis of the Korean version of the EQ-5D data from the 8th wave of the Korea Health Panel Survey in 2013. Selected demographic data and the Korean version of the EQ-5D were analyzed using ${\chi}^2$-test, t-test, ANOVA and multiple regression analysis. Results: Education, drinking, type of health insurance, and number of chronic disease significantly affected the health-related quality of life in the young adults with multimorbidity. Educational level, occupational type, drinking, physical activity, number of chronic disease, unmet healthcare need and the type of multimorbidity significantly affected the health-related quality of life in the elderly with multimorbidity. Conclusion: The factors influencing health-related quality of life were different for young adults versus elderly with multimorbidity. Therefore, there is a need for age-specific health care programs that may improve health-related quality of life of adults with multimorbidity.
This study aimed to determine the effect of depression between the health-related quality of life and pain in elderly persons with physical disabilities. A total of 111 patients who were treated at hospital B (Seoul, Daejeon, Daegu, Gwangju, and Busan) participated in the Survey. The SF-36 Health Assessment was used to determine the quality of life of subjects, the Korean version of the Geriatric Depression Scale-Short form to assess the level of depression, and Numeric Rating Scale to determine the level of pain. To determine the moderating effect of depression on the relationship between quality of life and pain, simple regression analysis, and the Sobel test were performed. There was a significant negative correlation between health-related quality of life and pain (r<-.3, p<.05), and a significant positive correlation between depression and pain (r=.251, p<.05). Thus, health-related quality of life had a simple regression relationship with depression and pain. Depression also showed a mediating effect between health-related quality of life and pain. The results of this study suggest that depression mediates between pain and quality of life.
Purpose: The purpose of this study was to test a hypothetical model of health-related quality of life in patients with heart failure. The hypothetical model was derived from the Wilson and Cleary's model, the Rector's model, and published research findings. Methods: Data from 103 patients with heart failure were analyzed to determine the best multivariate health-related quality of life model given variables derived from the prior studies. The statistics programs SPSS 12.0 and LISREL 8.7 program were used for descriptive statistics and covariance structure analysis respectively. Results: The overall fitness of the path final model was good(GFI=.97, AGFI=.95, NNFI=1.06, NFI=.96, p=.96). Symptoms were directly affected by gender. HYHA Class was directly affected by only gender. Physical functioning limitation was directly affected by exercise. Health perception was directly affected by economics, symptom, and physical functioning limitation. Depression was directly affected by exercise and health perception. Heath-related quality of life was directly affected by physical functioning limitation and depression, indirectly affected by gender, economics, exercise, symptoms, NYHA Class, and health perception. This path analysis model explained 51% of health-related quality of life in patients with heart failure. Conclusion: To improve of health-related quality of life with heart failure patients, it is necessary to make nursing interventions for physical functioning and depression.
Purpose: This cross-sectional study was carried out to identify factors influencing the health-related quality of life according to socioeconomic level during early adolescence. Methods: Participants were 617 middle school students in $1^{st}$ and $2^{nd}$ grade. All measures were self-administered. Data were analyzed using SPSS 21.0 program and factors affecting the health-related quality of life were analyzed by t-test, ANOVA, Duncan test, Pearson's correlation coefficient, and multiple regression analysis. Results: According to the level of Family Affluence Scale (FAS), 19.1% of the participants were in the high class, 66.5% in the middle class, and 14.4% in the low class. We have found statistically significant differences among the high, middle, and low classes regarding the health-related quality of life, health perception, resourcefulness, family function, and social capital. The most influential factors of the health-related quality of life were found to be resourcefulness, family function, and social capital in the high and the middle class. Conclusion: The implication of this study is that it is important for the Education Ministry and middle school teachers to help adolescents develop internal coping resources as well as to develop school-curriculums considering social values and norms related to social capital in order to improving their health-related quality of life.
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.
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