• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.47-58
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• 2017

This study examined the effects of elderly people's frail prevention program performed in a senior center located in J-si. The most interesting were the effects on the subjective health status, depression, physical fitness, and quality of life for the senior center participation of the elderly. The nonequivalent control group pre-post-test design was employed. A total of 43 people living in J-si were assigned to either the experimental group (n=22) or control group (n=21). The experimental group was provided with the 8-weeks frail elderly prevention program from September 1 to October 16 in 2015. The data were analyzed with SPSS/WIN 21.0 using descriptive statistics, $x^2-test$, Fisher's exact test, and t-test. The results indicated a significant difference between the experimental group and control group with respect to the scores of the subjective health status (t=-0.35, p=.024), depression (t=2.76, p=.035), physical fitness, including right grip strength (t=-3.10, p=.004) and flexibility of the waist (t=-2.13, p=.039), and the quality of life (t=4.36, p<.001). In conclusion, an elderly people's frail prevention program has a significant effect on the change in subjective health status, depression physical fitness, quality of life, and self-care behavior for senior center participation.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.317-327
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• 2021

This study is a randomized controlled trial to compare the effects of light therapy on stress, depression, sleep quality and quality of life in middle-aged women. The participants of this study were 56 middle-aged women who worked at the same office. Data collection period was from August 26 to September 13 for the control group and from September 16 to October 4 for the experimental group. Subjective stress, depression, quality of sleep and quality of life in middle-aged women were measured by Numeric Rating Scale (NRS), Center for Epidemiology studies of scale (CES-D), Verran & Synder-Halpern Sleep scale (VHS) and WHO Quality of Life Scale Abbreviated Version (WHOQOL-BREF). Stress index was measured using a Canopy9 RSA (IEMBIO, Gangwondo, Korea) equipment. The data were analyzed by mean, standard deviation, real number and percentage, χ²-test, t-test, repeated measures ANOVA and ANCOVA using IBM SPSS Statistics version 25.0. The results showed that the experimental group applying light therapy had significantly lower subjective stress (F=6.30, p<.001) and higher quality of life (F=2.80, p=.049) than the control group, There was no difference in objective stress index, depression, and sleep quality. As a result, light therapy is partially effective in subjective stress and quality of life for middle-aged women, and further research is needed on middle-aged women working in work environments with limited light exposure.

• Asia Marketing Journal
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• v.13 no.1
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• pp.1-26
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• 2011

Measuring the quality of city life (QCL) is important for city marketing given that QCL influences the city brand image and resident city relationship. Despite its importance, most previous measures of community well being were developed in the context of small towns, and limited attention has been given to a subjective measure of QCL in the context of a large city. This study develops and tests a subjective measure of quality of city life (QCL) in the context of a large metropolitan city. Quality of city life (QCL) refers to the degree of need satisfaction and feelings of happiness one experiences during the course of city life. The results from a survey of 507 residents from 25 major districts in Seoul indicate that the QCL measure has convergent and discriminate validity. The results also indicate that QCL has predictive validity in relation to satisfaction with city services, trust in the city government, word of mouth communication, and a sense of citizen pride. The managerial and policy implications of this study are discussed.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.293-302
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• 2020

This study was aimed to identify factors affecting the health related quality of life in elderly according to living type. This study used data from the 7th-3 Period Korea National Health and Nutrition Examination Survey. Data were analyzed using the SPSS program. The health related quality of life of living-alone elderly was lower than that of living-together elderly. The significant predictors of health related quality of life of living-alone elderly were depression, subjective health status, age, stress. The significant predictors of health related quality of life of living-together elderly were depression, subjective health status, age, gender. injury, stress. These results suggested that the living type affect the health related quality of life. The influencing factors should be reflected in the relevant program development.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4656-4667
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• 2015

The purpose of this study was to investigate relations among the quality of life, health states, physical functions, cognitive functions, and social supports of the elderly at care facilities. The subjects include the elderly that were living in care facilities in some urban areas and aged 65 or older. The data of total 260 old people were used in analysis. Collected data were analyzed with descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression. The elderly at care facilities, who were considered as physically and cognitive vulnerable, scored higher means on quality of life when they were satisfied with the length of stay and sleeping state, had higher subjective health states, had no tooth inconvenience and forgetfulness, suffered from a lower level of depression, had better cognitive functions, and received higher social supports. Quality of life had correlations with the sleeping state(r=-.20, p<.001), subjective health state(r=-.24, p<.001)s, depression(r=-.30, p<.001), and social supports(r=.30, p<.001). Social supports(${\beta}=.30$, p<.001), depression(${\beta}=-.25$, p<.001), subjective health states(${\beta}=-.22$, p<.001), length of stay(${\beta}=-.22$, p<.001), and sleeping state(${\beta}=-.12$, p=.025) turned out to predict the quality of life of the elderly at care facilities and have close relations with it. In short, the quality of life of the elderly is related to many different factors at care facilities. The findings indicate that nursing interventions and managements for quality of life require a mental and social approach or a whole person approach with a focus on the understanding of individual senior citizens rather than on physical activities and diseases.

• Korean Journal of Community Nutrition
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• v.14 no.1
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• pp.114-122
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• 2009

The purpose of this study was to identify the factors of university residence hall foodservice quality which has correlations with subjective QOL (quality of life) of target customers. A total of 176 questionnaires from students of 4 universities in Daegu, Gyeongbuk area were used for the analysis. The male students using residence hall foodservices were highly satisfied with 'clean appearances of employees' ($4.86{\pm}1.25$) and 'clean facilities' ($4.79{\pm}1.26$), while the degree of satisfaction with 'convenient facilities' ($4.50{\pm}1.20$) showed the highest score with female students. Ranking analysis using Spearman's ${\rho}$ revealed that there were significant correlations between students' satisfactions with the dimensions of 'foods and kindness of employees', 'hygiene', 'nutrition', and 'convenience' and their QOL, even though physical QOL of female students showed no significant correlation with satisfaction towards residence hall foodservices. As a conclusion, there should be efforts to improve the QOL of target customers through foodservice quality management.

• Research in Community and Public Health Nursing
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• v.28 no.1
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• pp.1-12
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• 2017

Purpose: The purpose of this study is to examine factors affecting quality of life among grandparents raising their grandchildren. Methods: This study carried out a secondary analysis of data from the 2014 Korean Longitudinal Study of Aging (KLoSA) and Statistics Korea. Data collected from 224 grandparents who reported raising their grandchildren were analyzed using descriptive statistics, independent t-test, ANOVA, pearson correlation coefficient, and multilevel regression analysis. Results: The mean score of the participants' quality of life was 62.63. Significant predictors of quality of life of the grandparents included subjective health status, last year's total house income, number of last year's travels, frequency of last year's movie seeing, and number of children's parks per 100,000 population. Conclusion: These results suggest that public health nurses in improving quality of life of grandparents focus on children's parks and formal social supports as community factors as well as regular exercise as an individual factor in order to be more effective.

• Journal of Korean Physical Therapy Science
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• v.6 no.3
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• pp.41-52
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• 1999

Stroke is the leading cause of adult disability and the third leading cause of adult death in the world. Stroke has an impact on the physical, psychological and social dimensions of quality of life. An increasing number of authors have reported a deterioration of the quality of life in a large proportion of patients after a stroke. Just as satisfaction with each dimension varies to everyone, the importance of each dimension also varies and does not impact equally on the quality of life. So assessment on the quality of life has to adopt a multidimentional approach and to make use of the subjective and objective indicators.

• The Korean Journal of Health Service Management
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• v.12 no.4
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• pp.139-154
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• 2018

Objectives: The aim of this study was to examine factors influencing health-related quality of life of waged workers. Methods: This study used data from the Seventh Korea National Health and Nutrition Examination Survey. Data were analyzed with the $x^2-test$, t-test, ANOVA, and multiple regression. Results: The significant predictors of health-related quality of life were depression, subjective health status, age, activity limitation, education, worker status, monthly income, drinking, smoking, physical injury, stress, and moderate physical activity. Conclusions: Personal health characteristics, psychological characteristics, socioeconomic characetrictics and working characetrictics affect health-related quality of life. Health-related quality of life is also affected by social structural problems such as socioeconomic factors and employment instabilitye. In addition to the development of health care programs to improve health-related quality of life of twaged workers, policy changes are needed to improve the social structure.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.309-316
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• 2016

The purpose of this study was to identify converged factors influencing subjective health status of patients with depression. The subjects of this study are 117 people answered that depression years of the 2013 National Health and Nutrition Examination Survey subjects. The results of this study were that the factors influencing subjective health status were education level, number of family member, quality of life, subjective body awareness, stress and they explained 55.9% of the variance. Therefore the intervention is considering various converged influencing factors should be done when the primary care for the promotion of subjective health status of patients with depression. This study identified a complex convergence of factors influence the subjective health status of patients with depression could be helpful on developing nursing intervention programs. It is necessary to identify forward more various social religious factors and disease influence the subjective health status of patients with depression.