• Health Policy and Management
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• v.18 no.1
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• pp.108-126
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• 2008

Summary measures of population health or SMPH is an index which can describe morbidity as well as mortality. Summary measures of population health can be divided into health-adjusted life years which is a life expectancy measure and disability-adjusted life years which represents the gap between the ideal health status and the current health status. This study aims at estimating health-adjusted life expectancy(HALE) which is a measure of health-adjusted life years, by calculating life expectancy adjusted by health status using EQ-5D. The mortality data was obtained from the life table of 2005 which was published by the National Statistical Office and the health status by sex and age was obtained from the EQ-5D scores using the third National Health and Nutrition and Examination Survey in 2005. With these mortality and morbidity data, health-adjusted life expectancy was calculated using Sullivan's method. The study results showed that the health-adjusted life expectancy of males and females was 67.49 and 69.61, respectively, while the life expectancy of males and females was 75.14 and 81.89. In other words, Korean males and females lose 7.65 and 12.28, respectively, from the decrease of quality of life due to diseases and/or injuries. These results can further be interpreted that males lose 10.2% of their life expectancy and females 15.0%. This study suggests that it may be possible to monitor population's health-adjusted life expectancy by continuing to include health-related quality of life measures such as EQ-5D in national health surveys like the National Health and Nutrition and Examination Survey.

• The Korean Journal of Health Service Management
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• v.6 no.4
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• pp.131-142
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• 2012

The purpose of the study was to identify the mediating effects of health promoting lifestyle in the relationship between life stress and adaptation to college life of health department college students. The data was collected for 10 days form sept. 3 to 14, 2012. Among a total of 351 cases of questionaries, only 342 cases were used. To data were analyzed by frequency, t-test, ANOVA, correlation and a hierarchical multiple regression analysis as suggested by Baron and Kenny(1986) using PASW statistics 18.0. From the analyses, there was a negative relationship between life stress and adaptation to college life but a positive relationship between health promoting lifestyle and adaptation to college life. There was a partial mediating effect of health promoting lifestyle between life stress and adaptation to college life. The results indicate a need to develop programs that effectively promote the health promoting lifestyle of health department college students to decrease life stress and maximize adaptation to college life.

• Journal of Korean Clinical Health Science
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• v.3 no.4
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• pp.466-475
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• 2015

Purpose. The purpose of this study was conducted to identify the elders' general quality of life and oral health-related quality of life. Method. Questionnaire survey was conducted on 241 elders' living in Pohang area from August to September 2014. The results were obtained from t-test, one-way ANOVA analysis, pearson correlation coefficients and multiple regression analysis. Results. Oral health status had significant correlations with gender, age, education, income, drink and hypertension. Oral health-related quality of life showed the highest relationships with age; oral health status and general quality of life showed the highest relationships with monthly income; and, age and education period also showed influence on general quality of life. Conclusions. Therefore, it is required to strengthen oral health improvement program and oral health education for improvement of elders' quality of life.

• 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.

• 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.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.2
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• pp.75-91
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• 2021

Purpose: The purpose of this article is to clearly describe research trends on health life expectancy using oral health indicators that have been published from 2010 to 2020 then suggest the direction of future research. Methods: Online academic databases in English (PubMed, Web of Science and Embase) were used to find those articles by applying a variety of keywords, including terms (adjusted life year, adjusted life expectancy, dental and oral). We identified relevant articles based on the following classification method of Mathers: (1) health gaps, (2) health expectancies. Results: Among 1,728 articles from the online databases, the final 13 studies satisfied the inclusion criteria and were selected for analysis. Health life expectancy studies indicate that research growth was recently achieved overseas. Among the literature collected in this study, 10 studies using health gap indicators yielded seven Disability-Adjusted Life Year (DALY), and three calculated Quality-Adjusted Life Year (QALY), which differed in the nature of the survey data used in the study measuring DALY and QALY. There are only three health expectancies and the number of papers were smaller than the health gap study. Conclusion: Establishing a foundation to calculate health life expectancy indicators through the development and improvement of oral health level are needed. More studies in the area of health life expectancy estimation research is based on actual prevalence and oral health-related quality of life are also needed.

• Research in Community and Public Health Nursing
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• v.31 no.3
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• pp.360-374
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• 2020

Purpose: This study aims to identify the mediating effect of health promoting behavior in the relationship between depression and health-related quality of life, and between social support and health-related quality of life among migrant workers. Methods: Data were collected from 152 migrant workers working at companies in K and B metropolitan cities. The study conducted a survey from August 1 to September 30, 2019, and used self-report structured questionnaires that were translated into English and Korean. The data were analyzed using descriptive statistics, Pearson correlation coefficient, simple and multiple regression, Baron and Kenny's method, and Sobel test. Results: Depression was significantly negatively correlated with social support (r=-.29, p<.001), health promoting behavior (r=-.30, p<.001) and health-related quality of life (r=-.44, p<.001). And social support was significantly positively correlated with health promoting behavior (r=.50, p<.001) and health-related quality of life (r=.44, p<.001). And health promoting behavior was significantly positively correlated with health-related quality of life (r=.51, p<.001). Furthermore health promoting behavior showed partial mediating effects in the relationship between depression and health-related quality of life (Z=3.26, p<.001), and showed partial mediating effects in the relationship between the social support and health-related quality of life (Z=3.98, p<.001). Conclusion: In this study, depression and social support were shown to mediate health promotion behavior to improve health-related quality of life. Therefore, in order to improve the health-related quality of life of migrant workers, it is necessary to focus on the health promotion behaviors, and effective strategies are needed to reduce depression, and support social support.

• Journal of Family Resource Management and Policy Review
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• v.2 no.1
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• pp.167-180
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• 1998

This study examines health and life satisfaction of the married female production workers(Mfpw). The data of 370 Mfpw in manufacturing sector in Taegu are collected by using questionares in August, 1995. Health scale measured by Todai Health Index is composed physical health and mental health. There are three satifsfaction areas-individual life satisfaction, family life satisfaction, and job satisfaction-in the overall life satisfaction scale. The findings of this study are as follows: 1) Mfpw’s total health conditions are poor. Especially physical health is worse than mental health. Physical health is influenced by age and purpose of attaining job, while mental health is influenced by purpose of attaining job. Mfpw who get the job for family financial needs have poor physical and mental health. 2) The overall life satisfaction level of Mfpw is lower than middle point : their family life satisfaction level is the heigest and their individual life satisfaction level is the lowest. Family income, purpose of attaining job and work place environment have effect on the level of overall life satisfaction. Mfpw who have the higher family income, get the job by non-economic motivations and work in good work place environment show the higher life satisfaction level.

• Child Health Nursing Research
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• v.12 no.3
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• pp.295-303
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• 2006

Purpose: The purpose of this study was to describe the relationship between resilience and health-related quality of life and to identify the effect of resilience on health-related quality of life in children with chronic illness. Method: The participants in this study were 71 children who were seen at one of 3 hospitals, either in outpatient clinics or as admitted patients. The data were collected from March to October, 2005 and descriptive statistics, t-test or ANOVA, Pearson correlation coefficient and stepwise multiple regression were used to analyze the data. Result: Health-related quality of life was slightly low with a mean score of 2.85 (range 1-5). Health-related quality of life was significantly different according to age. There was a significant correlation between resilience and health-related quality of life. Resilience was a predictor of health-related quality of life and accounted for 45% of the variance. Conclusions: Resilience was shown to influence health-related quality of life of children with chronic illness. These findings suggest that the interventions to enhance resilience would be effective for the improvement of health-related quality of life.

• 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.