• Korean Journal of Human Ecology
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• v.21 no.3
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• pp.611-628
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• 2012

The purpose of this study was to examine influence of home energy cost on housing cost burden of Korean and U.S. monthly renter households in urban areas and to explore influences of household and housing characteristics on their home energy cost burden. Microdata for this research was extracted from the 2011 Korean Household Budget Survey and 2009 American Housing Survey. Monthly renter households in urban areas were initially grouped based on household income, followed by a detailed analysis of housing and home energy cost. Findings are as follows: (1) The maximum ratio of home energy cost to household house hold income in Korea was 49% compared to 83% in the US; (2) Energy cost to income ratio were found to have significant influences on housing cost burden and lower income households' housing cost burden was found more vulnerable to their energy cost; (3) In general, the energy cost burden of low-income renter households in Korea tended to be influenced by household size, the number of household members staying at home during daytime hours and housing unit size. The energy cost burden of low-income renter households in the U.S. tended to be influenced by home structure type, size and age, the householder's age, race, educational attainment, the household size, number of wage earners per household, income, and the number of household members between 7 and 17 years of age.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.377-384
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• 2016

This study aimed to examine the difference of tobacco use, health behaviors and family factors according to the daily tobacco use among female adolescents in South Korea using cross-sectional national data. The study used raw data from the 11th Korean Youth Risk Behavior Web-Based Survey that was performed in 2015. Data of a total of 2,006 female students in high school were analyzed using SPSS/WIN 23. Of the girl 27.5% in high school reported current smoker. Approximately 19.2% of the participants were classified as a daily smoker group. In the multinomial logistic analysis, factors associated with daily smoking were mother's smoking habit, facilities of residence, subjective academic achievement and subjective economic status. In order to develop health promotion strategy and education programs, it is expected to consider factors found relevant in this study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.603-610
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• 2020

This study examined the mental health-related factors of Korean adolescents, especially focusing on the influence of internet use. This study analyzed the raw data from the 14th Korea Youth Risk Behavior Survey, 2018. The study population was 60,040, with 50.7% male students and 49.3% female students, and 49.7% high school students and 50.3% middle school students. The dependent variables were stress, sadness and despair, suicidal ideation, suicidal plan, and suicidal attempt. The independent variables were gender and age, health behaviors, and time using the internet. Logistic regression analysis was applied to derive the related factors. For all dependent variables, the main contributing variables were gender, grade, economic status, and academic performance. The mental health of adolescents was related to various factors. In particular, the time using the internet was linearly related to the degree of stress, and a higher student group of time using the internet had a more significant effect on sadness, despair, suicidal thoughts, and suicidal plans. In conclusion, the time using the internet has harmful effects on the mental health of Korean adolescents.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.401-409
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• 2020

The purpose of this study is to develop a convergence inpatient medical service patient experience management model(IMSPEMM) that can help in the management strategy of a medical institution to create a patient-centered medical culture. Using the original data from the 2018 Medical Service Experience Survey, 593 people with medical services inpatient(MSI) over the age of 15 were analyzed. By using the decision tree model, we developed a prediction model for overall satisfaction(OS) with the inpatient medical service experience(IMSE) and the intention to recommend patient experience(RI), and were classified into 4 and 7 types. The accuracy of the model was 68.9% and 78.3%. The OS level of IMSE was the nurse area and the hospital room noise management area, and the RI decision factor was the nurse area. It is significant that the IMSPEMM for MSI was presented and confirmed that the nurse area and the noise management area of the hospital room are important factors for the inpatient experience. It is considered that further research is needed to generalize the IMSPEMM.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.29-38
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• 2016

The purpose of this study is to investigate the relationship between Korean women's experience of anxiety & depression and socioeconomic level. We used Korea National Health and Nutrition Examination Survey VI-1 data. Study population were consisted of 3,453 female adults, and used a binary logistic regression analysis to identify the relationship between socioeconomic status factors and experience of anxiety & depression after adjusting health factors. It was identified the variables that affect experience symptoms of anxiety & depression is age, marital status, education, income level, economic activity, health condition and stress. Based on the analysis, Korean women's socioeconomic level and anxiety & depression experience concluded to be associated. Thus, the program for low income, unemployed and low educated level women is needed.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.313-320
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• 2018

This study was conducted to establish the effects of subjective body-forming perception on weight-controlling behavior and weight loss, and to suggest the need for proper information and education. Using the data from the National Health and Nutrition Examination Survey conducted in the 6th period (2013-2015), 6,238 women aged 19 and over who have a body mass index of $18.5-25kg/m^2$ were analyzed. As a result, the higher the level of education and income level, the higher they were perceived to be obese, the more they chose to lose exercise and diet in order to lose weight across the board. The weight loss effort rate was higher in the obese body type recognition group, but the body weight type was the highest in the one year body weight change group (p < .001). As a result, subjective perception of body shape affected not only weight control behavior but also weight change (p < .001). Accordingly, it is necessary to have a systematic education on healthy weight-controlling behaviors, proper body image, and healthy body type recognition.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.179-183
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• 2009

본 연구에서는 GCM 기후변화 전망 시나리오를 이용하여 유역단위의 기후변화를 추정하였다. 원시 GCM 시나리오를 지역화 시키기 위해서 인공신경망 모형을 사용하였다. GCM에서 모의되는 강수플럭스, 해면기압, 지표면 근처에서의 일 평균온도, 지표면으로부터 발생하는 잠열플럭스 등과 같은 22개의 변수는 인공신경망의 잠재적 예측인자로 사용되었으며, AWS에서 관측된 강수량과 온도는 예측변수로 사용되었다. 원시 GCM 데이터는 CCCma(Canadian Centre for Climate Modeling and Analysis)에서 제공되는 CGCM3.1/T63 20C3M 시나리오를 사용하였으며, 인공신경망 학습과정에서 사용된 기준시나리오(reference scenario)자료의 기간은 1997년부터 2000년까지의 데이터를 사용하였다. 인공신경망을 학습을 통하여 결정된 각 층사이의 가중치를 이용하여 이산화탄소 배출농도를 가정하여 생성된 CGCM3.1/T63 SRES B1 기후변화시나리오(project scenario)를 인공신경망의 입력값으로 하여 미래의 기온과 강수변화를 전망하였다. 신경망의 학습효과를 높이기 위하여 기온과 강수에 대한 평균 및 누적기간을 각각 일단위와 월단위로 설정하였다. 본 연구에서 사용된 인공신경망은 3층 퍼셉트론(다층 퍼셉트론)을 사용하였으며, 학습방법으로는 역전파알고리즘(back-propagation algorithm)을 이용하였다. 민감도분석을 통하여 선택된 예측인자는 소양강댐유역(1011, 1012소유역)에서의 인공신경망 예측인자로 활용되었으며, 2001년부터 2100년까지의 일 평균온도와 일 강수량의 변화경향을 추정하였다. 1011유역, 1012유역에서는 여름철의 온도변화경향이 겨울철에 비하여 높게 나타났다. 일 평균온도의 통계분석 결과 평균예측오차가 가장 적게 나타나는 지역은 1001유역으로 -0.08로 평균예측오차가 가장 적게 나타났으며, 인공신경망기법을 이용하여 스케일 상세화된 일 평균온도와 관측된 일 평균온도가 얼마나 잘 일치하는지를 확인할 수 있는 1012유역에서 CORR이 0.74로 가장 높게 나타났다.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.95-103
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• 2020

The aim of this study was to confirm the association between obesity and periodontitis in adults and identify the convergence relationship between periodontal disease and health-related behavior at each stage of obesity among 10,058 adults aged 30-79 years from the 7th National Health and Nutrition Survey data. We performed chi-square tests and multivariate logistic regression analyses, adjusting for demographic characteristics and health status. We found that the higher the obesity stage, the higher the risk of periodontitis. Smoking, not using oral care products, and not attending dental check-ups were associated with periodontitis. In addition, we found a difference in influence factors according to the stage of obesity. Increase in obesity stage is a negative influence on the prevalence of periodontitis. Hence, an oral health program should be applied to the obesity management process.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.389-396
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• 2015

This study examined the relationships among impaired fasting glucose (IFG), diabetes and periodontal disease. The data from 10,856 adults (aged over 19 years) was derived from the Fifth Korean National Health and Nutrition Examination Survey, which was conducted in 2010 and 2012. Adjusting the related confounders, multiple logistic regression analysis showed that periodontitis were related to gender, age, education level, smoking and diabetic status (p<0.001). These findings suggest that abnormal fasting glucose, which is a predisposing factor for diabetes mellitus, does not appear to be a risk indicator for periodontal disease. On the other hand, if patients do not take steps to prevent or delay diabetes, prediabetes is likely to develop into type 2 diabetes within 10 years. Therefore, patients with prediabetes need to undergo continuous examinations and management of periodontal disease.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.175-182
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• 2018

The purpose of this study was to examine the influence of factors related to whether or not to take oral examinations for 104,811 economically active population aged 25 to 54 years using the 2016 community health survey data. Multiple logistic regression analysis was performed to oral examination rate the effect general characteristics, socioeconomic and geographical characteristics, and oral health management behavior. The higher who age, the higher who education, have experience scaling, and the better who subjective oral health status, unmet dental needs rate of oral examination was higher. The higher the income level, the lower the oral examination rate. Age of economically active population, marital status, education level, area, income quartile, empolyment, scaling experience, unmet dental needs, there was a significant effect whether oral examination. The purpose of this study is to establish an positive basis for an effective oral examination program to improve accessibility to oral examinations.