• Korean Journal of Social Welfare
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• v.66 no.3
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• pp.5-28
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• 2014

School absenteeism, one of the early warning signs of behavioral problems, has been known to be a complex and heterogeneous problem. However, much of the research assumes that school absentee adolescents comprise a homogeneous group. This study explored the heterogeneity of school absentee adolescents, based on school adaptation, to provide a more nuanced understanding of school absenteeism and examined predictive and risk factors associated with each typology of school absentee adolescents. Latent profile analysis was conducted using sample 477 middle school students who were reported absent in the previous year from the 3rd wave of Korean Children and Youth Panel Study. Multinomial logistic regression and ANOVA was also employed to examine the effects of predictive variables. As a result, three profiles were identified: low, middle, and high adaptive group. Group membership was found to be associated deferentially with gender, mental health, parenting neglect, delinquent friends, and delinquent behaviors. These findings propose more specific and targeted interventions designed to meet the needs and risk factors associated with the different typologies of school absentee adolescents.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.3
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• pp.213-219
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• 2014

This study applied the data of 384 senior citizens over 65 years old having difficulties in everyday life, among the ageing research panel of Korea Labor Institute in 2000, due to their visual impairment in the final analysis to investigate factors affecting the use of vision aids by the aged with visual impairment. The analysis was based on the service usage Andersen-Newman model and the factors were classified into preceding factors, potential factors and desire factors. To examine the effects of each factors on the use of vision aids by the aged with visual impairment, logistic regression analysis was carried out. In the analysis results, the level of vision aids usage was shown to increase significantly with unemployed status and higher education level in the preceding factors, lower subjective stratum consciousness in the potential factors, and higher cognitive function in the desire factors. The limitation and implication of this study were suggested on the basis of the results.

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.76-104
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• 2012

For many small and medium-sized enterprises (SMEs), innovation activities to lead a market with technology development and a globalization strategy tend to be a haphazard process due to a lack of capabilities. Thus, this paper aims to explore success factors of the global leading SMEs in Korea that are not only the first mover through technology innovation but also outstanding in export. The analysis utilizes data from Korean Innovation Survey (KIS) and statistical analyses such as t-test and chi-square are performed to compare global leading SMEs and normal SMEs, concentrating on various factors such as information sources, collaboration and non-technology innovation activities. The results indicate that critical success factors involve information from outside companies (information from conferences and government institutes) and government supports through logistic regression analysis. This research suggests a strategic direction for policy makers to promote innovation and growth in SMEs.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.2
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• pp.119-124
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• 2014

In order to understand those factors to influence the hearing-impaired in connection with their using hearing aids, this study analyzed a total of 521 hearing-impaired people examined by a fourth-year Korea panel survey of employment for the disabled. For the analysis, the study, first, used Andersen-Newman service use model to categorize any influential factors into precedence factors, possibility factors and desire factors, and second, in order to look into how these factors would work on the hearing-impaired's using the hearing aids, the study conducted the logistic regression analysis. According to the results of the analysis, in terms of the precedence factors, when the hearing-impaired people are older and more highly-educated, they would be happier to use the hearing aids while when it comes to the possibility factors, when the gross income of these people is lower but when they are more willing to accept the fact that they have a disability, they would have a fewer problems with using the hearing aids. In addition, regarding the desire factors, when the hearing-impaired people can hear relatively better than the other hearing-impaired, they would be more significantly willing to use the hearing aids. In the light of what has been learned, the study discussed the limits of its research and proposed implications.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.10
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• pp.63-71
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• 2021

Using fossil fuels in existing industrial systems causes a variety of social problems. Recently, many studies have been conducted on bio-refineries, which aim to actively utilize biomass to reduce the use of fossil fuels and solve various social problems. Among them, research using microalgae as a third-generation biomass has attracted considerable attention. Microalgae use inorganic matter to produce organic matter, and cell destruction is necessary to extract useful organic materials from microalgae. The extracted organic materials are currently used in various industrial fields. Numerous cell-destruction methods exist. We have investigated cell disruption by sonication, especially its efficiency. Ultrasound is a sound wave with frequencies above 20 kHz, and destroys cells by sending high energy through a cavitation that occurs, according to the characteristics of the sound wave. The Dunaliella salina microalgae used in this study was cultured in a flat-type photobioreactor. Experiments were performed using a batch low-frequency processing device. Logistic model was applied to analyze the results of cell-destruction experiments using ultrasound. The proper conditions for the most efficient cell destruction were OD 1.4(microalgae concentration)), 54watt(output power) and 200mL(microalgae capacity).

• Journal of Digital Convergence
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• v.17 no.7
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• pp.179-186
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• 2019

This study was to investigate the factors influencing colorectal cancer(CRC) screening behavior using the health belief model(HBM). It was a descriptive cross-sectional survey. A total of 148 adults aged 50 or older participants were surveyed using structured questionnaires including general characteristics,, health beliefs, and behavioral variables. The data were analyzed by descriptive statistics, t-test, chi-square test and multiple logistic regression using SPSS/WIN 25.0 program. The significant factors influecing CRC screening behavior were perceived sensitivity, spousal experience of CRC screening and family history. Therefore, in order to improve the CRC screening rate, it is necessary to increase the perceived sensitivity through systematic education about the importance of early CRC screening. In addition, it is necessary to assess the spousal screening experience and the family history of subjects and to develop the education program using the partnership of the couple.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.379-384
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• 2018

The purpose of this study was to investigate the effect of diabetes on periodontal disease according to oral health behavior. The date from the 2013-2015 Korean National Health and Nutrition Survey were used, and 14,282 subjects were included in the analysis. Periodontal disease was assessed using the Community Periodontal Index and using logistic regression. When all of the oral health behaviors were included in the model, tooth brushing frequency, flossing, and interdental brushing were significantly associated with periodontal disease, and periodontal disease risk was significantly higher with diabetes, but there was little difference in periodontal disease risk by input factors. Oral health behaviors were associated with periodontal disease in the normal blood glucose group but not in the presence of diabetes mellitus. If there is diabetes, it is difficult to manage periodontal disease by only the health behavior, so it is necessary to control blood sugar.

• The Korean Journal of Applied Statistics
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• v.32 no.4
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• pp.619-630
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• 2019

Dyslipidemia is a representative chronic disease affecting Koreans that requires continuous management. It is also a known risk factor for cardiovascular disease such as hypertension and diabetes. However, it is difficult to diagnose vascular disease without a medical examination. This study identifies risk factors for the recognition and prevention of dyslipidemia. By integrating them, we construct a statistical instrumental nomogram that can predict the incidence rate while visualizing. Data were from the Korean National Health and Nutrition Examination Survey (KNHANES) for 2013-2016. First, a chi-squared test identified twelve risk factors of dyslipidemia. We used a naïve Bayesian classifier model to construct a nomogram for the dyslipidemia. The constructed nomogram was verified using a receiver operating characteristics curve and calibration plot. Finally, we compared the logistic nomogram previously presented with the Bayesian nomogram proposed in this study.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.125-131
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• 2019

This study tries to grasp the factor that affects the acceptance of beacon as an O2O marketing tool. This study examined whether there is a difference between beacon accepter as a means of marketing communication and non-accepter in terms of related variables. As a result, there were significant differences between beacon perceiver and non-perceiver in 'smartphone usage' and 'brand consciousness'. In order to understand the predictive variables influencing beacon acceptance as a means of marketing communication, this study used 'perceiving beacon as a marketing communication media' as a dependent variable to perform logistic regression analysis. As a result of the analysis, it was found that 'smartphone usage' and 'brand consciousness' were the predictive variables affecting beacon perceiving. This study tried to analysis the results in the viewpoint of perceived usefulness and ease-of-use which were insisted by TAM.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.662-674
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• 2021

Metabolic syndrome is closely associated with cardiovascular disease, there is increasing attentions in prevention of metabolic syndrome through prediction. The aim of this study was to systematically review the literature by collecting, analyzing, and synthesizing articles of predicting metabolic syndrome in Koreans. For systemic review, data search was conducted on Global journals Pubmed, WoS and domestic journals DBPia, KISS published in 2011-2020 year. Three keyword 'Metabolic syndrome', 'predict', and 'korea' were used for searching under AND condition. Total 560 articles were searched and the final 22 articles were selected according to the data selection criteria. The most useful variable was WHtR(AUC=0.897), most frequently used analysis method was logistic regression(63.6%), and most accurate analysis method was XGBOOST(AUC=0.879) for predicting metabolic syndrome. Prediction accuracy was slightly improved when sasang constitution types was used. Based on the results of this study, it is believed that various large-scale longitudinal studies for the prediction and management of the Metabolic syndrome in Korean should be followed in the future.