• Journal of Digital Convergence
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• v.17 no.12
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• pp.367-374
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• 2019

The purpose of this study was identify the factor affecting alcohol use disorder in Korean women. This study used the data from the 6^th Korea National Health and Nutrition Examinations Survey and analyzed the demographic characteristics, health related factors and alcohol use disorder. Data were analyzed using the IBM SPSS 25.0 program. As a result, the prevalence of alcohol use disorder in Korean women was 14.7%. There were significant differences depending on age, marital status, educations level, occupation, smoking, stress, melancholy. By logistic regression, the risk factors of alcohol use disorder were age, marital status, occupation, smoking, melancholy. According to the results of this study, further research on the alcohol use disorder of single-working women should be conducted in considering of various variable.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.255-263
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• 2020

According to the notion that anxious attachment may not explain depression fully, there has been abundant studies investigating the mediating factors affecting the relationship between anxious attachment and depression. However, there was no previous study examining the mediating effect of self-absorption. Therefore, the present study examined the mediating effect of self-absorption on the relationships between adult anxious attachment and depression for 283 college students. To examine relationships among variables, structural equation modeling analysis was utilized. and the present study found a partial mediation effect of self-absorption in the relationship between anxious attachment and depression. This result suggests that anxious attachment influences attentional process and as a result, the maladoptive self-focused attention can precipitate depression. Current findings can contribute to the field by providing knowledge about risk factors and cognitive mediators affecting mental health of college students who are in "transitional period" in their life. Future studies can investigate interactions among risk, protective, and mediating factors affecting the relationship between anxious attachment and depression among college students.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.359-372
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• 2019

Metabolic syndrome is deeply related with risks of chronic disease and mortality. Furthermore, the metabolic syndrome disorder in childhood and adolescence usually tends to lead to a number of cardiovascular disease in the stage of adulthood. In this sense, metabolic syndrome needs to be investigated seriously. The purpose of this study is therefore to prove the relationship between dietary habits(high carbohydrate, high calorie) and metabolic syndrome among adolescents. We also aim to clarify the relationship between emotional factors perceived by adolescents and metabolic syndrome. Our empirical results based on KNHANES dataset significantly demonstrates that the HDL-cholesterol is a decisive factor for the diagnosis of metabolic syndrome disorder. Additionally, emotional experience factors such as stress also show significant effects in difference of adolescents' metabolic syndrome.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.535-543
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• 2021

The aim of this study was to evaluate the correlation between senile eye diseases such as age-related macular degeneration (AMD), glaucoma and oral health behaviors. Data from the Seventh Korea National Health and Nutrition Examination Survey (KNHANES VII-2) were used to analyze oral health behaviors according to the presence of AMD and glaucoma. Demographics and oral behaviors were analyzed using the complex chi-square test and complex logistic regression to compare participants with AMD and glaucoma with those without AMD and glaucoma. According to the presence or absence of AMD and glaucoma, there were statistically significant differences in age, education level, oral care product use, and difficulty in speaking variables. The results of this study provide evidence of a significant association in some variables between oral behaviors and senile eye diseases.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.221-226
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• 2019

The characteristic of the beta wave among the EEG waves corresponds to the stress area of human perception. The over-bandwidth of the stress is extracted by analyzing the beta-wave correlation between the low-bandwidth and high-bandwidth. We present a KMeans clustering analysis model for unsupervised machine learning to construct an analytical model for analyzing and extracting the beta-wave correlation. The proposed model classifies the beta wave region into clusters of similar regions and identifies anomalous waveforms in the corresponding clustering category. The abnormal group of waveform clusters and the normal category leaving region are discriminated from the stress risk group. Using this model, it is possible to discriminate the degree of stress of the cognitive state through the EEG waveform, and it is possible to manage and apply the cognitive state of the individual.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.303-312
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• 2018

The purpose of this study is to design the easy payment service research model and to find the influencing effect on the intention for the reuse of easy payment service by analysing the factors such as the social influence, the promotion condition, the security and the convenience as UTAUT model has. Also the research model employs the trust and the user satisfaction as parameters. The result shows that even though people feel the trust due to the convenience by the social influence, it has a negative influence on the user satisfaction if the risk recognized in the easy payment service and the weakness in the security are anticipated. The results of this study are academically meaningful as they established the research model for the easy payment service and the theoretical basis of the easy payment service area; they have provided the various practical implications.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.1-12
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• 2019

This study explored the factors affecting the acceptance of public recording in SNS post. Using SPSS 21.0 program and AMOS 21.0 program, major results were derived through exploratory factor analysis, confirmatory factor analysis, correlation analysis, and path analysis. The results are as follows: First, the risk of personal information leakage on SNS posting has a significant negative impact on the attitude toward SNS posting. Second, the security of the SNS posting has a significant effect on the attitude toward the SNS posting. Third, the concern about privacy of SNS posting has a significant negative impact on the attitude toward SNS posting. Fourth, the attitude toward SNS posting has a significant effect on the intention to accept the SNS posting. The above results suggest that the SNS post recording should be able to collect opinions of SNS users from a long-term viewpoint.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.235-247
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• 2019

This study was carried out to evaluate the efficacy of Virtual Reality(VR) program on recovery of functional in Stroke through systematic literature review and meta-analysis. The following databases were used to search the literature: RISS, KISS, KMbase. Keywords included 'stroke', 'CVA' 'virtual reality', 'rehabilitation', 'virtual reality program' and the evaluated articles were published from 2009 to November 2018. The statistical was used R program, the effect size of upper limb, balance and ADL were calculated by random-effects model. As a result, 9 RCT studies were meta-analyzed and were evaluated for the risk of bias by the RoB of Cochrane Collaboration; the overall risk of bias was low. The effect sizes of VR program was balance(g=.77), ADL(g=.80) as indicated by a "large effect size". Therefore, VR program is large effective in reducing balance and ADL in strokes. It is necessary to develop and apply a virtual reality-based program using more efficient program development.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.215-220
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• 2021

In order to reduce the harmful effects on the human body caused by the recent increase in the generation of fine dust in Korea, there is a need for technology to help predict the level of fine dust and take precautions. In this paper, we propose a 1D Convolutional-Recurrent Neural Network (1-D CRNN) model to predict the level of fine dust in Korea. The proposed model is a structure that combines the CNN and the RNN, and uses domestic and foreign fine dust, wind direction, and wind speed data for data prediction. The proposed model achieved an accuracy of about 76%(Partial up to 84%). The proposed model aims to data prediction model for time series data sets that need to consider various data in the future.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.139-146
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• 2021

This study considers the problems and social changes caused by the increase of single-person households in the elderly, and examines SmartHome services for them. We chose trust, security risk, self efficacy, social influence, perceived ease of use, and perceived usefulness as factors that affect attitude. The cognitive level of these factors and the difference betweene gender and education level of these factors were analyzed. The analysis showed that the elderly were fully aware of perceived ease of use and perceived usefulness. In addition, the elderly women are more socially influenced than the elderly men in the use of SmartHome services, and there was a significant difference in self efficacy and social influence by education level. This study will provide a new research perspective for subsequent studies and can be utilized as an important underlying study.