• Journal of Digital Convergence
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• v.14 no.10
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• pp.483-497
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• 2016

Purpose of this study is to compare and analyze effect of exercise intensity in complex training for 8 weeks on leptin, growth hormone, IGF-1, and body composition in middle school with intellectual disability. Subjects of this study were 26 middle school students, 9 in high-intensity group, 9 in middle-intensity group, and 8 in low-intensity group. To compare the difference from different exercise intensity, pre-value before training has been set as covariate and different exercise intensity has been set as independent variable, with changes in leptin, growth hormone, IGF-1, and body composition. Analysis of covariance (ANOVA) has been performed for data analysis and effect size ${\eta}^2$(eta) has been deduced. Result acquired from analyzed data is as following. First, when equal exercise has been imposed on middle school students with intellectual disability, in regard of exercise intensity, it was shown that leptin most decreased in middle-intensity, growth hormone most increased in middle-intensity, and IGF-1 increased in low-intensity. Second, in regard of body composition, low-intensity was most effective in increase of total body weight without fat. Decrease of body fat was most prominent in middle-intensity and increase of bone density, in low-intensity. Also, in further studies, study that differentiates subjects in gender and individual exercise performance is deemed mandatory.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.317-323
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• 2016

The aim of the convergence study is to evaluate anti-asthma effects of white ginseng complex extract(WGCE) on OVA-induced allergic asthma in mice. WGCE was administered at 100 mg/kg and 300 mg/kg to mice, where asthma was induced by OVA. Th2 cytokine including IL-4, IL-5 and IL-13 were measured by Luminex. Also, OVA-IgE and eosinophil were measured by haemocytometer and BALF total cells were measured microscope. Production of IL-4, IL-5, IL-13 and OVA-IgE in serum was decreased, respectively, in comparison with control. The eosinophil in whole blood decreased significantly. In addition, WGCE groups showed a decrease in the BALF total cells. These results demonstrated that WGCE decreases the Th2 cytokine and asthma factors. Therefore, we strongly suggest that WGCE could be effectively used as a therapeutic drug based on its anti asthma factors.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.477-486
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• 2021

This study was conducted to detect metabolic syndrome risk factors and gender difference in adults. 18,616 cases of adults are collected by Korea Health and Nutrition Examination Study from 2016 to 2019. Using 4 types of machine Learning(Logistic Regression, Decision Tree, Naïve Bayes, Random Forest) to predict Metabolic Syndrome. The results showed that the Random Forest was superior to other methods in men and women. In both of participants, BMI, diet(fat, vitamin C, vitamin A, protein, energy intake), number of underlying chronic disease and age were the upper importance. In women, education level, menarche age, menopause was additional upper importance and age, number of underlying chronic disease were more powerful importance than men. Future study have to verify various strategy to prevent metabolic syndrome.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.375-385
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• 2015

This study aims to identify geographical variations and factors that affect smoking rates. The data are collected from the Community Health Survey conducted between 2009 and 2011 by Korea Centers for Disease Control and Prevention and other government organizations. Correlation and multiple regression analysis were used to examine the factors influencing smoking rates. For the purpose of investigating regional variations, we employed a decision tree model. The study has found that the significant factors associated with geographical variations in the smoking rates were the rate of hazardous drinking, the completion rate of hypertension education, the experience rate of anti-smoking campaigns, stress awareness rate, hypertension prevalence, health insurance cost, diabetes prevalence, obesity rate, and strength training rate. Convergence-based analysis on geographical variations of the smoking rates is highly important when the regionally customized healthcare programs is implemented. In the future, it is necessary to develop effective program and customized approach for the regions of high smoking rates. Our study is expected to be used as meaningful data for the design of effective health care programs and assessments to lead effective non-smoking program.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.41-50
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• 2015

This study targeted volunteers to identify the variables that affect the attitude for participating in the volunteer activities going forth, and their effect. The independent are consisted of personal characteristic variables, participation related variables, management process variables. As for the dependent variables, they included the will to participate continually and degree of participation. The major findings are as follows : First, volunteer work agency try to activate housewives' participants. Second, the volunteer work agency need to improve and develop the programs which are consisted of more 3-hours per participation and three times per month. Third, so the motivations are the most important variables affect the sustainability, volunteer programs must be established to realize effective experience learning and social participation. Forth, a systematic management for the volunteer programs must be established to activate more participation.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.317-325
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• 2015

The purpose of this study is fusion-dimensional image of the body standing walking exercise female participants to convergence investigate the effects of psychological happiness In order to serve this purpose, questionnaires were used for females who participated into the walking program worked on by the National Health Insurance Corporation in 2014. A convenience sample was used for 150 subjects. Unanswered questions and questionnaires that did not meet normalcy were excluded, and 135 samples were extracted to use them for final analysis. Frequency analysis was performed for the collected data in order to examine demographical characteristics by using the SPSS/WIN 20.0 V program. In addition, multiple regression analysis was performed in order to resolve research issues. Cronbach' ${\alpha}$ verification and exploratory factor analysis were performed. The result of the aforementioned research and data analysis in this study is as follows: Perceived competence, looks, and health during the walking of female participants turned out to make static, positive effects on immersion and happiness, which were the lower-level factor of psychological happiness.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.251-258
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• 2018

We study convergent factors to depression(CES-D: Center for Epidemiologic Studies Depression scale) among administrative staff in general hospital. The questionnaire was used using an unregistered self-administered questionnaire for 201 staff from 9 general hospitals located in J area from Jul. 3rd, 2017 to Jul. 29th, 2017. The hierarchical multiple regression analysis shows the following results. The depression of respondents turned out to be significantly higher in following groups: a group in which Rosenberg Self-Esteem Scale(RES) is lower, a group in which Multidimensional Fatigue Scale(MFS) is higher, a group in which Psychosocial Well-being Index Short Form(PWI-SF) are higher. The results show explanatory power of 32.5%. The results of the study indicate that the efforts, to increase RES, and to decrease MFS and PWI, are required to improve the depression among administrative staff in general hospital. These results could be used in organizing human resource management and industrial health education to lower the level of depression in general hospital administration staff. Following studies need to analyze the structural equation model that effects the depression levels of administrative staff in general hospital.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.259-269
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• 2019

This study analyzed convergent factors related to self-leadership of female freshmen in health majors studying TOEIC. The survey was conducted from April 29, 2019 to May 10, 2019 using unregistered self-administered questionnaire for 201 female freshmen in health majors and they were randomly selected from TOEIC class in college located in J city. The results of hierarchical multiple regression analysis show the following. The self-leadership of respondents turned out to be significantly higher in following groups: a group in which self-competence is higher, a group in which subdivision task self-efficacy and coping self-efficacy is higher, and a group in which subdivision chance of locus control from locus of control is lower. Their explanatory power was 49.7%. The results of the study indicate that the efforts to manage self-competence, self-efficacy, and locus of control are required to improve the self-leadership of female freshmen in health majors studying TOEIC. These results can be used for academic counseling guidance to enhance self-leadership of female freshmen in health majors studying TOEIC. In the future research, it is necessary to establish and analyze a structural equation model that affects self-leadership of male and female college students in health majors studying TOEIC.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.313-320
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• 2019

This paper was attempted to identify the convergent factors related to the state anxiety of Female Administrative Staff in Medical Institutions(FASMI). For randomly selected 226 FASMI at 27 medical institutions in J region, from July 4, 2018 to July 25, 2018, we conducted an anonymous self-administered questionnaires. As a result of hierarchical multiple regression analysis, the state anxiety of respondents turned out to be significantly higher in following groups: a group in which subjective happiness is lower, a group in which cynicism, sub-areas of job burnout are higher, a group in which psychosocial stress is higher, the explanatory power of them was 57.3%. In conclusion, in order to lower the state anxiety of FASMI, it is necessary to increase subjective happiness, lower cynicism, which is a sub-area of job burnout, and to lower psychosocial stress. These results could be used in hospital job management and mental health education to lower the level of state anxiety in FASMI. Future research needs to develop and interpret a structural equation model that affects the state anxiety of FASMI.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.159-166
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• 2019

This paper investigated convergent factors to turnover intention among some Administrative Staff in Medical Institutions(ASMI). The survey used self-administered questionnaires for 320 administrative staffs of 27 medical institutions in the J region, selected arbitrarily from July 2, 2018 to July 27, 2018. The hierarchical multiple regression analysis shows the following results. The turnover intention of respondents turned out to be significantly higher in following groups: a group in which organizational commitment is lower, a group in which organizational loyalty is higher, a group in which exhaustion, cynicism, reduced professional efficacy, sub-areas of job burnout are higher. The results show explanatory power of 50.9%. The results of the study indicate that the efforts, to increase organizational commitment and organizational loyalty, and to decrease exhaustion, cynicism, reduced professional efficacy, sub-areas of job burnout, are required to improve the turnover intention among ASMI. These results could be used in hospital organization personnel management and industrial health education to lower the level of turnover intention in ASMI, vocational aptitude education of health care college students. In following studies, it is necessary to present and analyze the structural model affecting the turnover intention of ASMI.