• Journal of muscle and joint health
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• v.20 no.2
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• pp.81-90
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• 2013

Purpose: The purpose of this study was to identify factors contributing to health-related quality of life in patients under rehabilitation after stroke. Methods: A descriptive correlational study design was used. Ninety-two stroke patients under rehabilitation from a university hospital were included. Data were collected on March and April, 2013 using structured questionnaires. Hierarchial multiple regression analysis was used to identify factors influencing health-related quality of life. Results: There were significant differences in health-related quality of life according to type of impairment. The health-related quality of life had significant correlations with age, functional dependency, and stress. Factors influencing health-related quality of life for stroke patients under rehabilitation were stress, functional dependency, type of impairment, and age, which explained about 34.5% of total variance. Conclusion: To promote health-related quality of life for stroke patients under rehabilitation, stress and functional dependency should be managed in this population, especially for older adults. Also these results can be utilized in the development of program for helping rehabilitation of stroke patients. The effect of depression and anxiety on health-related quality of life should also be addressed in future research.

• Journal of Information Technology Applications and Management
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• v.29 no.2
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• pp.27-37
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• 2022

This study was attempted to identify the effects of physical and mental health on quality of life in middle-aged adults by gender. The Data were analyzed for 4,511 adults (2,260 men, 2,251 women) aged 45 to 65 who had no missing values in major variables based on the data of the 2016 Korea Health Panel. According to the data, the quality of life in middle-aged adults was .92 (±.08) for men and .91 (±.10) for women, which was significantly higher than that of women (t=3.54, p<.001). Factors affecting the quality of life in middle-aged men were subjective health status (β=.40, p<.001), stress (β=-.17, p<.001) and education level (β=.10, p<.001), and these variables explained 23% of the quality of life (F=227.28, p<.001). Factors affecting the quality of life in middle-aged women were subjective health status (β=.40, p<.001), stress (β=-.11, p<.001), education level (β=.05, p=.011) and anxiety (β=-.05, p=.022), and these variables explained 21% of the quality of life (F=145.42, p<.001). Based on the results of this study, the group with low level of education in middle-aged adults needs health management, education on how to relieve stress, and intensive management to improve the quality of life. In addition, the differentiated approach should be required to reduce anxiety in middle-aged women.

• Korean Journal of Adult Nursing
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• v.25 no.1
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• pp.13-23
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• 2013

Purpose: The purpose of this study was to investigate the factors that influence health-related quality of life in patients with atrial fibrillation. Methods: The subjects were 150 outpatients with atrial fibrillation who visited the cardiology clinic of a university hospital in U city. The instruments used for this study were Mhel Uncertainty in Illness Scale (MUIS), Center for Epidemiologic Studies-Depression Scale (CES-D), State Trait Anxiety Inventory (STAI), and the Short-Form-36 Health Survey (SF-36) Korean version II. The date were analyzed by ANOVA, Pearson-correlation coefficient, and hierachial multiple regression using SPSS/WIN 18.0. Results: The mean score of physical health-related quality of life (PCS) was $38.92{\pm}6.22$ and mental health-related quality of life (MCS) was $41.49{\pm}5.71$. Physical and Mental health-related quality of life had the significant correlations with uncertainty, anxiety and depression. In multiple regression analysis, physical health-related quality of life was significantly influenced by duration of disease, NYHA class, uncertainty. Mental health-related quality of life was significantly influenced by family income, NYHA class, anxiety and depression. Conclusion: These results suggest that these influencing factors should be consider in developing the nursing interventions to improve the healthrelated quality of life in patients with atrial fibrillation.

• The Korean Journal of Health Service Management
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• v.14 no.1
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• pp.161-176
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• 2020

Objectives: The purpose of this study was to investigate the effects of health status and health behaviors on health-related quality of life in Korean adults. Methods: The study was based on the 2017 National Health and Nutrition Survey. Of the total 8,127 people, 5,780 (71.1%) participated: 2,553 (44.2%) were male and 3,227 (55.8%) were female. The variables for this study were demographic factors, disease count, subjective health status, health behaviors, and health-related quality of life (measured by the EQ-5D Index). Results: After analysis, the statistically significant factors associated with health-related quality of life were gender, age, income, education, daytime health status, number of comorbidities (6 or more) and stress. Conclusions: Seven demographic factors have been identified as having a significant impact on health-related quality of life, categorized by model, gender, age and income. Therefore, it is possible that quality of life can be improved through proactive management and by improving subjective health status and health behaviors while in considering of demographic and sociological factors by providing indicators as per gender and age.

• Journal of the Korean Society of School Health
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• v.30 no.1
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• pp.81-91
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• 2017

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.

• The Korean Journal of Health Service Management
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• v.8 no.1
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• pp.75-86
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• 2014

The purpose of this study was to examine the factors affecting quality of life among elderly people with type 2 diabetes mellitus (DM) in a community. The design of this study was an exploratory survey. The subjects were 268 adults aged over 65 years with DM in a community. The data were collected from July to October, 2011 and analyzed by descriptive statistics, Pearson's correlation coefficient, and stepwise multiple regression by using SPSS/WIN 20.0 program. The quality of life was positively associated with self care behavior (r=.226, p<.001), self-efficacy (r=.323, p<.001), and social support (r=.345, p<.001). However, quality of life had moderately negative correlation with depression (r=-.445, p<.001). Among the variables, depression, social support, and self-efficacy were explanatory factors accounting for 23.9% of quality of life. These findings suggest that depression and self-efficacy are important factors affecting quality of life in the elderly with DM and it can be improved by strengthening social support.

• Journal of Korean Biological Nursing Science
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• v.24 no.1
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• pp.26-35
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• 2022

Purpose: The purpose of this study was to investigate the influencing factors on health-related quality of life according to body mass index (BMI) in middle age people. Methods: Using the 2017 Korea Health Panel Data, a total of 4,711 subjects age 40-64 were selected and classified into four groups based on BMI levels (underweight, normal weight, overweight, obese). Influencing factors according to BMI in middle age people was analyzed using multiple regression. Results: Activity limited was the most influential factor for health-related quality of life in middle age people. Walking and stress were factors influencing health-related quality of life in all weight groups. In the overweight and obese group, suicidal impulse was a significant influencing factor on health-related quality of life. Conclusion: To improve the health-related quality of life of middle age people, effective walking and stress management for maintaining and managing health, as well as managing suicide risk in the overweight group and obese group are required.

• The Journal of Korean Physical Therapy
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• v.30 no.1
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• pp.35-40
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• 2018

Purpose: This study examined whether the quality of life of parents of children with cerebral palsy is affected by the functions, activities, participation, and environmental factors using an ICF-CY check list. Methods: This study recruited in 26 parents of children with cerebral palsy. The functions, activities, participation, and environmental factors of the children were evaluated using ICF-CY checklist. To measure the quality of life of parents, this study used world health organization quality of life (WHOQOL-BREF), which was composed of a total of 26 questions. The GMFCS (gross motor function classification system) was used to assess the degree of disability in the children. Multiple regression analysis was performed to examine the effects of the ICF-CY checklist on the quality of life. Correlation analysis was performed to examine the correlation between GMFCS and WHOQOL. Results: The functions, activities, participation, and environmental factors were significantly different from WHOQOL-BREF. On the other hand, the contextual factor showed a significant difference in the neuromusculoskeletal and movement-related functions (b7), and service, systems, and policies (e5)(p<0.05). Conclusion: This study suggests that the functions and environmental factors affect the quality of life of parents of children with cerebral palsy. Therefore, these findings suggest that contextual factors, such as neuromusculoskeletal and movement-related functions (b7), and service, systems and policies (e5), which can be facilitators, should be considered for improving the quality of life of parents of children with cerebral palsy.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.28 no.1
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• pp.117-123
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• 2018

Objectives: The aim of this study was to examine factors influencing health-related quality of life in women workers using the dataset of the Korean National Health and Nutritional Examination Survey(KNHANES 2th). There were 955 subjects. Methods: A multiple regression model was used to study the factors influencing health-related quality of life of women workers. Results: A positive relationship was found between education(b=0.014, p=0.029) and health-related quality of life in women workers and non-osteoarthritis(b=0.037, p<0.001) and health-related quality of life in women workers. Conclusions: The results of this study show the importance of improving the working environment and preventing osteoarthritis in non-regular employment.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.22 no.2
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• pp.300-309
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• 2015

Purpose: This study investigated the effect of depression, life stress and resilience on quality of life among middle-aged women. Methods: A descriptive correlation study design was used with a convenience sample consisting of 201 middle-aged women recruited from an urban area. SPSS 21.0 was used for a descriptive analysis, t-test, ANOVA, Pearson's correlations and multiple-regression analysis. Results: Quality of life had a significant positive correlation with resilience(r=.53, p<.001) and negative correlation with life stress(r=-.27, p<.001). The significant factors for quality of life were resilience (B=.425, p<.001) marital-status (B=.227, p=.001) and health status (B=-216, p=.001). These factors explained 36.8% of the variance in quality of life. Conclusions: In conclusion, to promote quality of life middle-aged women, there is a need to develop an intervention program to improve resilience.