• Journal of Digital Convergence
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• v.13 no.6
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• pp.287-296
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• 2015

This study was purposed to figure out current situation of part of 273 middle-school girls' dietary behavior and problems, then provide baseline data which helps to develop desirable eating behavior and life style. It appeared that suitable amount of eating(F=6.378, p=.002), degree of unbalanced diet(F=3.542, p=.030), Nutrients intake(F=6.780, p=.001), and life style(F=4.291, p=.015) differs between groups depending on student's subjective physical health status. It turned up that perceived physical health status is related to moderate amount of eating, degree of unbalanced diet, and Nutrients intake(p<0.05). As a results, in the period of adolescent which is a rapid growth period, there should be a systematic and endurable practice of right eating behavior, foods for formation of lifestyle, and convergence education in health area.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.31-39
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• 2018

This is a convergence study to investigate the factors affecting the physical health status of college students and to present a strategy for effective program development. The participants of this study were 200 college students in a region and collected data by self-reported questionnaire. Data were analyzed by descriptive statistics, t-test, ANOVA, correlation analysis and stepwise multiple regression analysis. The results were as follows: 1) The physical-health status of the college students was positively correlated with the subjective perception of health status(${\beta}=-.323$, p<.01), health awareness(${\beta}=-.278$, p<.01), gender(${\beta}=-.197$, p<.01), and breakfast habit(${\beta}=-.192$, p<.01). And the explanatory power($R_2$) by 4 variables was 33.1%. As a result, it was confirmed that strengthening subjective perception, positive reinforcement of health awareness, and habit of breakfast were important for improvement of physical health status. Therefore, it is necessary to develop a health promotion program based on the factors influencing on the physical health status and to analyze its application effect.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.571-581
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• 2016

The purpose of this study was to examine the relationships among the physical competence, subjective health status, and health promoting behavior of elderly participating in health activity program. For these purposes, we conducted a survey with 207 elderly. The findings were as follows. First, high physical strength group compared to the other groups had high subjective health status and health promoting behavior. Second, physical competence influenced positively on subjective health status. Third, physical competence influenced not significantly on health promoting behavior. Fourth, subjective health status influenced positively on health promoting behavior. These results were discussed based on previous literature and theory.

• 한국노년학
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• v.36 no.4
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• pp.1191-1206
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• 2016

The purpose of this study is to investigate the relationship between perceived health status, future time perspective(FTP), health promoting behaviors, and quality of life in the elderly. To this end, the survey was conducted through distributing questionnaires to the elderly people who lived in areas of Seoul or its adjacent satellite cities in their age of 60 or more in 2013. In total, 497 valid responses were collected. The data was analyzed by using a number of analysis methods including confirmatory factor analysis, reliability analysis, frequency analysis, correlation analysis, simple regression analysis, multiple regression analysis, SEM analysis. The findings are as follows. First, health status of the elderly has a significant influence on FTP. Second, health status the elderly has a significant influence on health promoting behavior. Among sub-factors of health status, subjective health status has a significant influence on spiritual growth, nutrition, physical activity, stress and interpersonal relation. Third, health status of the elderly has a significant influence on quality of life. Among sub-factors of health status, subjective health status has a significant influence on physical, social, emotional and economic quality of life. Fifth, FTP of the elderly has a significant influence on quality of life. FTP has a significant influence on physical, social, emotional economic quality of life among the elderly. Sixth, health promoting behavior among the elderly has a significant influence on quality of life. Among sub-factors of health promoting behavior, spiritual growth has a significant influence on physical, social, emotional and economic quality of life. Nutrition has a significant influence on social factor. Health responsibility has a significant influence on emotional quality of life. Physical activity has a significant influence on physical quality of life. Stress has a significant influence on physical, social and economic quality of life. Finally, interpersonal relation has a significant influence on physical and social quality of life.

• Journal of the Korean Applied Science and Technology
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• v.37 no.2
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• pp.318-327
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• 2020

The purpose of this study was to examine the effect of perceived health status on resilience of life of elderly people participating in physical activity. Total of 282, elderly people participated in this study. Data ware analyzed by descriptive statistical analysis, reliability analysis, exploratory factor analysis, correlation analysis, and multiple regression with SPSS 18.0 ver. program. The results were as following. It was found that sub-factors of perceived health status such as a health care factor, current health factor and future health factor significantly affected resilience of life.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.477-488
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• 2017

The purpose of this study was to investigate difference of Physical Activity and Sedentary Life according to Health and Obesity status. A total of 4,783 adults participated in this study. The subjects were divided to four group(metabolically healthy normal weight; MHNW, metabolically unhealthy normal weight; MUNW, metabolically healthy obesity; MHO, metabolically unhealthy obesity; MUO) and analyzed clinical character, physical activity, and sedentary life time. As results, Compared with MHNW, MHO was higher physical activity and sedentary time but there was no notable differences. Compared with MHNW, MUNW was higher physical activity and lower sedentary time but there was no notable differences. Compared with MUNW, MHO was lower physical activity and sedentary time but there was no notable differences. In conclusion, we suggest that MHO has high physical activity comparing nomal weight group relatively.

• 건강소식
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• v.38 no.2
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• pp.30-31
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• 2014

균형 잡힌 몸에서 아름다운 체형과 건강한 삶이 유지된다는 건 당연한 사실. 많은 스포츠 의학자가 우리 몸의 균형 상태를 확인하고, 적절한 운동을 통해 잘못된 신체를 교정해야 한다고 조언한다.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.415-426
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• 2022

This study was to investigates the effects of subjective health status, death anxiety and life mening of the elderly living in local community might influence somatization. Participants were 241 65 years of age or older and living in K city and B city. Data were collected with structured questionnaires from February 1 to March 25, 2018. Data were analyzed SPSS 21.0 program for descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression. Factors which influeence somatization of the elderly in local community were ife meaning(𝛽=-.260, p<.001), subjective health status(𝛽=-.256, p<.001), death anxiety(𝛽=.163, p<.01). Therefore a program which can reduce somatization should be developed and utilized.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.62-70
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• 2021

The purpose of this study was to identify health literacy among elderly and to investigate the relationships between healthy literacy and health status. A cross-sectional study was conducted with a sample of 158 participants between July and December 2019. The linguistic and functional health literacy (using the KHLAT and NVS) and self-rated physical and mental health were assessed. Above third of elderly have difficulties reading and understanding linguistic and functional health literacy. There were significant differences in health literacy according to residence, spouse, living together, educational level, occupation, monthly income, and number of diagnosed disease. Linguistic and functional health literacy and self-rated physical and mental health are closely related. Sociodemographic and disease related factors such as residence, educational level, monthly income, and multi-morbidity need to be considered when developing educational programs to improve health literacy. It could be possible to promote health status by improving the health literacy through individualized convergent educational program.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.455-465
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• 2020

The purpose of this study was to investigate the relationship between physical activity and health-related quality of life of adults using the 7th National Health and Nutrition Survey. The study was conducted with 11,211 adults, and the health-related quality of life was defined using the EuroQol group's EQ-5D and physical activity using GPAQ. Data analysis was performed using the SAS 9.4 program, the general characteristics and degree of physical activity of the subject, Chi-square for KEQ-5D index, and Logistic Regression Analysis for the relationship between physical activity and quality of life. As a result of the study, the general characteristics of the subjects were marital status, educational status, occupation, smoking, alcohol consumption, economic status, stress, chronic disease, chronic disease treatment, physical activity due to leisure and physical activity due to occupation, depending on gender. There was a difference (p<0.05). As for the quality of life related to physical activity and health, the quality of life was significantly lower by 37% in the 'minimum physical activity group' of occupational physical activity (p<0.05). The results of this study are expected to be provided as basic data for physical activity-related health policy establishment and physical activity programs.