• Journal of Digital Convergence
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• v.12 no.10
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• pp.467-476
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• 2014

This study aims to determine the effects of mental health on obesity among Korean adolescents. The data in this study were obtained from the 2013 Korean Youth Health Risk Behavior Web-based Survey conducted in 70,354 adolescents aged twelve to eighteen (35,575 males and 34,779 females) from June 1 to 30, 2013. The variables included age, the economic status of household, academic achievement, health status, perceived happiness, perceived stress, satisfaction of sleeping, perceived depression, and suicidal ideation and the data were processed using t-test, chi square test, and logistic regression analysis. The general characteristics affecting obesity for both Korean male and female adolescents included age (p<0.001), the economic status of households (p<0.001), academic achievement (p<0.001), and health status (p<0.001); the variable of mental health affecting obesity was suicidal ideation among females (p<0.05). It is expected that female adolescents' experience of suicidal ideation can be used as information to predict the likelihood of obesity in managing an obesity program for adolescents and it is necessary to provide obesity education suitable for age and to include obesity guidance in consideration of gender and the economic status.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.553-560
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• 2013

The purpose of this study was to examine the effect of u-health system on metabolic syndrome risk factor, body composition, and fitness in male and female elderly. Subjects were 46 elderly(24 men and 22 women) with metabolic syndrome. They were divided into u-health group and home exercise group. Blood pressure, blood profile, body composition, and fitness were measured before and after the intervention. As a results, blood glucose and waist circumference showed significant interaction in both men and women, respectively. In body composition, weight, muscle mass, fat mass, %body fat, BMI showed significant interaction whereas only muscle mass showed significant differences in women. In fitness, there were interaction shown in 3m up and go, functional reach, and gait speed in men. In women sit to stand, 6min walk, and grip strength showed significant interaction. In conclusion, u-health system seems to be the effective method in terms of checking regularly. However, easier and more simple system for elderly and specific direction for exercise should be added.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.383-396
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• 2015

This study aims to identify factors related to rescreening the private health screening center. Data from private health screening center with seven district centers were analyzed. The number of subjects was 70,250 from 2008 through 2015. Socio-demographic characteristics, morbidity, history, physical measurement, laboratory test, and health behavior factors were analyzed the association with health rescreening using chi-square test and negative binominal regression. 19.2% of subjects were recheck their health status on each year from 2008 to 2012. The socio-demographic characteristics related to reuse private health screening center were male, 30-40 aged, Daegu, Gwangju, Jeonnam and Gyeongnam region residents. And overweight and pre-hypertension were also factors association with number of using the private health screening program. People who control their health risk factors such as alcohol intake, smoking and mental health and execute physical exercise tend to use health screening program regularly. Our finding suggest that customer relationship management can execute and private health screening center enable their strategic plan based on data-evidence.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.289-297
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• 2013

The destination of this study is a convenience sample of 301 people age 65 and older to use each one elderly welfare center D, M received a structured questionnaire for one-on-one interviews with the subjects to read all the questions and questionnaire was written. The depressed group and the normal group, identify the general characteristics, the ADL, and sleep, and the difference between the two groups, and relative risk were analyzed. The results of the study are as follows: Showed depressed group compared to normal group was the low level of ability to perform daily living, sleep well, not more than the ability to perform daily living, dressing, bowel and bladder management, and complained of the difficulty to perform instrumental activities of daily living ability of grooming, more difficult to appeal to public transportation, shopping. In conclusion, elderly health promotion strategy when you want to take into account whether or not the depression of the elderly will require the development of a variety of education and physical activity programs, and suggest the need for expanded research to determine the effectiveness.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.285-293
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• 2017

They are rapidly evolving malicious attacks on smart devices, and to timely protect the smart devices from these attacks has become a very important issue. In particular, smishing attack has emerged as one of the most important threats on the smartphone. In this paper, we propose the cloud service that can fundamentally protect the user from the risk of smishing attack. The proposed scheme provides cloud messaging service that can filter text messages including URLs in the user's smart device, view and manage them through a virtual machine provided by a cloud server. The existing techniques for preventing smshing attacks protect only malicious code of a known pattern and there is the possibility of error such as FP(False Positive) or FN(False Negative). However, since the proposed method automatically filters all text messages including URLs, storing, viewing, and managing them in their own storage space on the cloud server, it can completely block the installation of malwares(malicious codes) on the user's smart device through smishing attacks.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.259-269
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• 2017

This study analyzed medical aid case management effects based on the number of access by visits, phone calls, letters, internal investigation, resource links, and requests, in medical aid case management business that is carried out to improve the quality of life of medical care beneficiaries and reduce financial cost. Secondary analysis study using data of 564 high-risk group in the medical aid case management and their healthcare utilization data. Letters had positive correlations with the scores of all case management domains. The higher visits was, the lower the score of self-health care ability was, and the higher the number of phone calls was, the higher the score for reasonable medical use was. While there was no significant difference in medical cost according to aid management by interventions, the higher visits and resource links were, the lower the subjects' total number of payment days was. There is a difference in the various areas of the quality of health -related life and medical use depending on case management by intervention method and its number. It is necessary to carry out the efficient number of access to case management by intervention method.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.319-327
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• 2021

The aim of this study is to identify the relationship between obesity and dieting to dental care in a convergent manner. This is a secondary analysis study using data from National Health and Nutrition Survey(2008 & 2018), and the subjects of the study are those with permanent treatment experience. The data in this study were t-test, ANOVA and regression analysis using SPSS /WIN 24.0. As a result of the study, The experience of permanent tooth caries according to gender was high in woman(M=.76, W=.83), and the experience of permanent tooth caries according to the educational level showed that the caries experience of high-educated level(College or higher=.92). In the difference according to the subjective body type recognition, it was confirmed that obesity was associated with the experience of permanent tooth caries. Among the weight control methods, fasting was the most influential on the permanent tooth caries experience. The experience of permanent tooth caries according to the weight change was found to have an effect on both weight loss and increase, In future studies, not only studies of sugar intake related to obesity, but also proper oral health education study that informs about the risk of dental caries in the diet that is progressing in line with the current trend should be continued.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.49-61
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• 2021

In a disaster situation such as COVID-19, our society has experienced the spread of the damage due to confirmed patients who have a negative or uncooperative attitude toward the disclosure of personal information. Accordingly, this study aims to find a policy direction that can improve the awareness of the disclosure of personal information about confirmed COVID-19 patients. This study classified the concept of acceptability into personal and social acceptability, and statistically verified their relationship with influential factors. In this study, 594 cases of data collected through an online survey were used. The analysis results show that the greater the trust in the government's personal information management capability, the lower the perception of the risks associated with the disclosure of personal information, and the lower the awareness of the risk, the higher the personal and social acceptability of the personal information disclosure of COVID-19 confirmed patients. In addition, the greater the recognition of the utility of personal information disclosure, the higher the perception of personal and social acceptability of the personal information disclosure. It is expected that the analysis results and discussions of this study will be useful information for policy development to create a more mature social atmosphere to reduce the public's reluctance to disclose information not only in COVID-19 but also in new disaster situations in the future.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.83-93
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• 2021

This study is to verify the components of social entrepreneurship, market orientation and the causal relationship by examining the impact of each factor on the performance of social enterprises. The survey was conducted on certified social enterprises and the sample of 142 copies was demonstrated with SPSS 22.0. The analysis of the impact on the economic and social performance of social enterprises is as follows. First, the social value orientation and risk sensitivity showed significant results indicating that the social enterprise had a significant impact in part on the economic performance. The social value orientation of the spirit of social entrepreneurs showed significant results on the social performance. Second, market orientation has been shown to have a significant positive influence on both the economic and social performance. This study empirically assessed the impact of Social Entrepreneurship and Market Orientation on the Social and Economic Performance the re-recognition of the importance of social enterprise requires. Next, more active research on market orientation is required in the future in order to strengthen the competitiveness of social enterprises.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.249-255
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• 2019

Type 2 diabetes mellitus(T2DM) is included in metabolic disorders characterized by hyperglycemia, which causes many complications, and requires long-term treatment resulting in massive medical expenses each year. There have been many studies to solve this problem, but the existing studies have not been accurate by learning and predicting the data at specific time point. Thus, this study proposed a model using RNN to increase the accuracy of prediction of T2DM. This work propose a T2DM prediction model based on Korean Genome and Epidemiology study(Ansan, Anseong Korea). We trained all of the data over time to create prediction model of diabetes. To verify the results of the prediction model, we compared the accuracy with the existing machine learning methods, LR, k-NN, and SVM. Proposed prediction model accuracy was 0.92 and the AUC was 0.92, which were higher than the other. Therefore predicting the onset of T2DM by using the proposed diabetes prediction model in this study, it could lead to healthier lifestyle and hyperglycemic control resulting in lower risk of diabetes by alerted diabetes occurrence.