• Journal of agricultural medicine and community health
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• v.46 no.4
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• pp.280-294
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• 2021

Objectives: The purpose of this study is to investigate the effects of social capital characteristics, socio-demographic characteristics, physical condition, and health behavior characteristics on health-related quality of life of the elderly in Korea. Methods: T-test, one-way ANOVA, and regression analysis were performed by applying a complex sample design to 57.787 people aged 65 and over using the 2019 Community Health Survey. Results: First, as a result of complex-sample T-test and ANOVA analysis, it was found that there were differences in health-related quality of life according to social capital characteristics, physical condition & health behavior characteristics, and socio-demographic characteristics. Complex Sample Regression Analysis Results, the explanatory power of the model was 28%. When living in the metropolitan area, living in an apartment building, having a spouse, having a higher household income, economic activity, higher educational attainment, increase sleeping time, walking time, frequent binge drinking, health checkup, networking, trust, and social participation showed higher health-related quality of life. When people were older, their gender was female, higher BMI, number of chronic diseases, and severe stress that showed lower health-related quality of life. Conclusions: It was proved that the factors affecting the health-related quality of life of the elderly are not only physical condition and health behavior factors, but also social capital and socio-demographic characteristics. It was found that the role as a member was important.

• Journal of Korean Society of Transportation
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• v.28 no.4
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• pp.19-30
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• 2010

It has become important to have some proper guidelines of how to provide public transport information services in response to the rapid IT developments and the wide spread of public information services. The current study takes a contextual approach to the analysis of public transportation information use under a dynamic decision situation, complementing the conventional cross-sectional approaches. Using the CHAID of decision tree induction based on decision table formalism applied to the survey data of activity travel and information use, the study found that the information type and medium choices are strongly affected by the decision contexts in addition to the individuals' socio-demographic characteristics. The results suggest an important implication to the market segmentation of information services for public transportation.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.1
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• pp.117-124
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• 2015

This study explored the determinant variables of physical health of the high school students in Korea. Specifically, it explored how the sociodemographic characteristics factor, school factor, delinquent behaviors factor of the students affect their physical health using the 2012 Korean Youth Health Risk Behavior On-line Survey. Using the case of 36,889, this study conducted frequency analysis, t-test, F-test, and multiple regression analysis. As the result of total multiple regression analysis, gender, father's educational level, sibling(s), economic status, grade, academic record, problem drinking, drug use were statistically significant determinant variables of physical health of the high school students in Korea. Also, it delivered some implications for enhancing their physical health.

• Korea journal of population studies
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• v.35 no.1
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• pp.77-99
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• 2012

This study aimed at developing a model for estimating fertility rates for Korea under some conditions. The model is expected to provide the basic information for establishing and evaluating the polices in prompt and adequate response to low fertility and population ageing. The model was established on the basis of experiences by some OECD countries in Europe, having experienced the fertility increase trend and being economically well-developed, because Korea has never experienced the steady increase in fertility rate since 1960. This study collected about 20 years' time series data for each of selected countries and applied to the regression model, which is called a 'panel analysis' to take into considerations both cross-sectional and longitudinal aspects of fertility change simultaneously. Simulation of the model for Korea and some panel countries showed a very small difference, less than 0.1, between the estimated rate and the observed rate for each year during 2006~2010. Thus, the model, as established in this study, is evaluated as accurate or well-fitted to a considerable extent.

• The Journal of Korean society of community based occupational therapy
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• v.9 no.1
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• pp.35-45
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• 2019

Objective : The purpose of this study was to investigate the factors influencing stroke in community-dwelling adults. Methods : This study used raw data from the community health survey in 2016. Among the 228,452 subjects who participated in the survey, 225,003 (98.5%) of them were included in the analysis of this study. The sociodemographic characteristics were selected as gender, age, region, income, marital status, and comorbidity was selected as osteoporosis, hypertension, diabetes, dyslipidemia, myocardial infarction and arthritis. Health-related quality of life was assessed by EuroQol-5 Dimension(EQ-5D) and the subcategory of EQ-5D (mobility, self-care, usual activities, pain/discomfort, anxiety/depression) were included in the analysis. Dependent variables were stroke, and the independent variables were the 16 variables described above. Statistical analysis was performed using binomial logistic regression analysis. Results : In sociodemographic variables, stroke was predicted by men, aging, and lower income levels. In comorbidity variables, stroke was predicted by hypertension, diabetes mellitus, hyperlipidemia, and myocardial infarction. In sub-domains of health-related quality of life, stroke was predicted by self-care, usual activities, mobility, anxiety/depression, and pain/discomfort. Conclusion : These finding suggest that it is needed development of a customized health promotion program for the improvement of self-care and activities of daily living in community-dwelling stroke survivors.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.17-25
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• 2016

This research paper aims to provide valuable data to the policy makers in establishing business activation plan through improving university students'entrepreneurial intention by carrying out international comparison research regarding the social environmental factors that influences entrepreneurial intention. There have been multiple researches on personal traits that affect entrepreneurial intention in the past, but this paper examines the social environmental factors that impact entrepreneurial intention. The result of this study is as follows. First, university's assistive activity for entrepreneurship, successful entrepreneurial role model, and business market scale has positive effect on entrepreneurial intention, while government assistive policies for entrepreneurship has no direct effect on entrepreneurial intention. Second, there were some differences of entrepreneurial intention in demographic characteristics. The mean of entrepreneurial intention was highest in Chinese students. Students who have ever started their own business were highest in total mean comparison of entrepreneurial intention. Also entrepreneurial intention mean was higher in men generally. Beside, discussion is made on the implication of the study, the limitations of the study, and some directions for future studies.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.287-292
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• 2018

This paper investigates the differences in norms, values, and trusts that affect the quality of life of the elderly, as well as the elderly population. The elderly surveyed 401 households (65 years old or older) residing in N city. As a result of the analysis, there was a difference in life satisfaction according to sex, marital status, educational background, type of household composition and income level in the comparison of life satisfaction according to demographic variables. As a result of examining the influence of social capital on the elderly's life satisfaction, it was found that they contributed to trust, norm, and participation order. This study suggests that future policies of the elderly welfare policy should be considered as a policy that focuses on participation in various social activities that can activate social capital.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.281-291
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• 2013

This study is the secondary statistical analysis calculating the quality of life of patients with cancer by giving the integrative weight based on National Health and Nutrition Examination Survey data of the Centers for Disease Control for five years from 2007 to 2011 for the first time in Korea. The results of measurement showed that the number of cancer patients was 201, which accounted for about 0.8 % of 26,260 subjects. The quality of life of cancer patients was higher when they had lower age(p<0.0001), more professional occupations(p<0.0001), and higher educational history(p=0.0002). When they lived in apartment(p<0.0001), got unmarried(p<0.0001), the quality of life was higher. In particular, the measurement of quality of life of cancer patients based on type of health insurance was the result of new study for the first time in Korea.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.397-410
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• 2014

This study sought to identify types of health behavior clusters among Korean adults and their related factors. A secondary analysis of 1,441 subjects, aged 19 to 64, in the 2009 Korean National Health and Nutrition Examination Survey (KNHANES IV-3) was conducted. A cluster analysis was used to identify types of clusters related to physical activity, smoking, and alcohol drinking. A complex samples chi square test and multivariate logistic regression were performed to analyze the associations between types of health behavior clusters and sample's characteristics using SPSS WIN 21. Five clusters were identified: health promotion, smoking, alcohol drinking, passive attitude, and risky behavior. The passive attitude cluster had the most subjects, with 47.7% of subjects as members. Socio-demographic factors, hypertension, and depressive symptoms were associated with membership in the alcohol drinking, smoking, passive attitude, or risky behavior cluster rather than the health promotion cluster. The findings of this study suggest that integrated health promotion programs incorporating multiple strategies need to be investigated. In addition, further studies should explore psychosocial factors that affect health behavior clusters, such as stress, self-efficacy, social support, and social networks.

• Journal of agricultural medicine and community health
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• v.24 no.2
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• pp.269-289
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• 1999

This study was conducted to examine the relationship among health concern, health practice and ADL of elderly staying at home in a rural community and their affecting factors. Data were collected through direct interviews made with 480 old people aged more than sixty-five from November 15, 1998 to December 20, 1998. Out of 189 male and 291 female, the high-level group that showed high health concern accounted for 44.4%, the medium-level group for 13.1%, and the low-level group for 42.5%, in the health practice, the high-level group accounted for 3.8%, the medium-level group for 18.8%, and the low-level group for 77.5%. In the self-rated health status, the high-level group accounted for 29.0%, the medium-level group for 31.0%, and the low-level group for 40.0%, and in the ADL, the high ADL group accounted for 91.5%, and the low-level ADL group for 8.5%. The result of the chi-square test showed that for male, there was a significant relation between the health concern and the health practice index score. In the relation between the health practice index score and the self-rated health status, there was significant positive relationship between health practice index and self-rated health status, and in the relation between the health practice Index score and the ADL, old people with higher health practices showed good ADL(but not significant). Old people with good ADL also showed good self-rated health status. In the multiple regression analysis where the health practice was used as a dependent variable, the health concern was added to the sociodemographic variables as an independent variables, a formula was formed for male old people only and ones with high concern in health showed good health practice. In the multiple logistic regression analysis where the sociodemographic variables to which the health practices was added were used as an independent variable and the ADL as a dependent variable, the ADL appeared to be not good if for male old people the living costs were born by their sons and daughters and as for female old people their ages increased, but it was good if old people had sources of health information such as hospitals or health centers. The self-rated health status was worse, for male old people, if they had short living costs or diseases and for female old people, if they had spouses, living costs born by their sons and daughters or diseases, but it was better, for male old people, if they had periodical gatherings or carried out health practices a lot, and for female old people, if they had sources of health information such as hospitals or health centers or carried out health practices a lot. In view of the results stated above, the higher the old people had health concern, the more they carried out health practices, and the more they carried out health practices, the better they had ADL and self-rated health status that served as the level of health. Further, the better ADL, the better self-rated health status.