• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1323-1331
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• 2018

The purpose of the study was to determine the general characteristics that affect strokes caused by smoking, to provide basic data and political grounds for preventing strokes. Data were used from the 6th (2015) of the National Health and Nutrition Survey. Among the study participants were 2,146 smokers and 132 strokers. Data were analyzed using SPSS ver. 21.0. The findings of the study were as follows: strokes increased the odds ratio 1.7 times(p<0.001) when smoking was performed, and the risk factors for strokes caused by smoking were statistically significant in age(p=0.008, p=0.10), education level(p=0.003, p=0.008), hypertension(p<0.001), and subjective health conditions(p=0.008). Therefore, it is necessary to develop health education contents using smart devices and a consistent national health policy to reduce the occurrence and risk of stroke.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.101-117
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• 2024

The purpose of this study is to consider the characteristics perceived by users who utilize MyData services in the financial sector. It aims to examine how these factors influence users' understanding for sustained usage and their resistance to innovation. The research seeks to explore the relationship between users' awareness of characteristics and its impact on both enhancing comprehension for continued usage and addressing users' resistance to innovation. Utilizing a specialized survey agency, we examined the relative effects of innovation resistance factors, such as relative advantage, perceived risks, complexity, clarity and perceived ease of use on MyData service users. Furthermore, this research focuses on employing empirical analysis to validate the relationships between these factors through the survey. The findings of this study suggest that MyData service should dedicate ongoing efforts to minimize user resistance to service utilization. Specifically, it was revealed that among the innovation resistance factors, perceived ease of use, relative advantage, perceived risk, and complexity exert influence in that order.

• 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 Korean Society of Archives and Records Management
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• v.21 no.1
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• pp.141-161
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• 2021

This study aims to propose an implementation plan for ensuring the digital continuity of university information resources that require the continuous management of temporary and permanent records in digital transformation environments. Thus, the cases of The National Archives (TNA; United Kingdom) and the National Archives of Australia (NAA)'s digital continuity policies were investigated and analyzed, drawing implications for ensuring universities' digital continuity. The process for ensuring digital continuity proposed by TNA was then applied to a university case for the proposal of an implementation plan applicable to university information resources.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.335-344
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• 2020

This study was to develop a screening tool to identify the pregnant women who are required to have a concrete checkup or education about preterm birth. The items for the screening tool were drafted from literature review and the result of interviews with women who are hospitalized after preterm delivery based on the biopsychosocial framework. The validity and reliability of the items was performed after the content validity and the pilot survey. The screening tool for the risk of preterm birth in pregnant women was consisted of two parts. One was consisted of 9-items for the biomedical risks and another one was consisted of 17-items for the psycho-physical risks. The screening tool for the risk of preterm birth in pregnant women reveals valid and reliable. It could be applied to identify the pregnant women who have some risks of preterm birth.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.381-388
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• 2013

The study was done to identify factors influencing the health risk behavior of the chronic mental illness in the community. A cross-sectional study design was used in this study. The sample was 255 chronic mentally ill persons from D city and C province and who agreed to participate in the study. Data were collected on August-september, 2011 and analyzed using the SPSS/WIN 20. Stress event, insight and depression had significant correlations with health risk behavior. Hierarchial regression analysis showed gender (men), diagnosis (schizophrenia), stress event, insight and depression together explained 24% of variance in health risk behavior. Findings of this study allow a comprehensive understanding of health risk behavior of the chronic mentally ill persons in community. It is necessary to integrated health promotion programs designed for this population should focus on these factors for effective behavioral modification.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.431-437
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• 2014

The purpose of this study was to perform an actual proof analysis on the structural effects of recognition of radiation risks on management and benefits. Data was collected using self-administered questionnaires targeting students having majors related to radiation from 1 April to 31 May in 2013 of one four-year-course university located in Chungbuk, Korea. As a result of the analysis, it turned out that as recognition of radiation risks is higher, recognition of radiation management is higher, which has a significant effect on benefits. It was indicated that although recognition of radiation risks does not directly influence radiation benefits, positive recognition on radiation benefits could increase through the parameter, radiation management. In order to improve smooth use of radiation and increase benefits, education that emphasizes the need of proper radiation management should be performed.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.289-296
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• 2015

This convergence study was conducted to compare difference of risk behaviors and injury incidence between younger(under 65 years) and elderly(over 65 years). For this analysis we used law data of nation-wide community health survey data during August to October 2010. Data of drink-driving, seat belt use, injury incidence rate, type of injury, cause of injury were used for comparison. Seat belt use(85.16% vs 78.81%) was high but drink-driving(12.99% vs 13.24%) was low in elderly. Injury incidence was high especially in falls(1.07% vs 2.22%). In conclusion, elderly do less risk behaviors, but experienced much more injuries especially falls.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.251-259
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• 2018

This study aimed to identify the risk factors for cardiovascular disease (CVD) among age groups using the Framingham risk score (FRS). The research design used was a cross sectional descriptive study using the Sixth Korean National Health and Nutrition Examination Survey from 2013-2015. Data from 5211 men, between the ages of 30-74 was analyzed. After adjusting for age, the result of logistic regression analysis showed that obesity (OR=2.51 95% CI=2.05-3.07), physical inactivity (OR=1.71, 95% CI=1.39-2.10), heavy alcohol drinking (OR=1.33, 95% CI=1.09-1.62), and dietary fiber intake (OR=0.99, 95% CI=0.98-0.99) were presented as predictors of CVD. Obesity was considered to be a particularly important predictor of CVD for young and middle-aged men. This result will be used for developing intervention relating to lifestyle modification for young and middle-aged men.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.249-256
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• 2020

This study was to identify differences in mortality risk by living arrangements among older adults. We analyzed data from 3,827 older adults who took part in the 2014 Korean Longitudinal Study of Aging. Cox proportional hazards regression was used for data analysis. The significant factors associated with mortality risk in living with others were male, education level, self-rated health, limitation of instrumental activities of daily living, cognitive dysfunction, and depression. The significant factors associated with mortality risk in living alone were regular exercise, limitation of instrumental activities of daily living, and cognitive dysfunction. This study is significant in that it examined whether there are differences between mortality risk by living arrangements. According to the results of this study, nursing intervention should be developed to decrease mortality by living arrangements.