• Health Policy and Management
• /
• v.21 no.3
• /
• pp.414-424
• /
• 2011

The purpose of this study is to describe the characteristics associated with the hypertension educated population, and to develop and analyze a simple predictive model of the hypertension management education status. Based on the Korea National Health and Nutrition Examination Survey in 2008, a cross-sectional design was used in this study. An effective 1.165 adults(${\geq}30$) sample was divided into a participation group (n=66) and a non-participation group(n=1,099), and to compare demographic, socio-economic and health characteristics between two groups. Moreover, predictors associated with participation in hypertension education programs were identified by the logistic regression analysis. The participation rate in hypertension education in Korea is only 5.7% which is vastly low given the various programs were provided, and there are statistically significant differences between a participation group and a non-participation group in age(p=0.050), marital status(p=0.002), education level(p=0.000), and residence area(p=0.037). Furthermore, age for 40-49 years(OR : 0.207), education level of high school(OR : 2.579) and college(OR : 6.417), duration of hypertension(OR : 1.044), CVA(OR : 2.463), and blood pressure(OR : 1.041) are statistically significant predictors associated with the participation in hypertension education programs. To increase the participation of hypertension education program, variables such as age, education level, duration of hypertension, CVA, and blood pressure are more concerned. And, high-risk patients and family members need targeted outreach programs.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.7
• /
• pp.4586-4594
• /
• 2015

This study investigated the relationship between self-esteem and the maladaptive behavior of the youth and examined the moderating effects of father attachment and mother attachment in the relationship of self-esteem and maladaptive behavior. Utilizing SPSS win18.0 program for data analysis, after carrying out descriptive statistics analysis and a simple correlation analysis, hierarchical multiple regression analysis was performed to investigate the interaction model, the primary purpose of this study. The results of this study are as follows. First, the relationship of both self-esteem and maladaptive behaviors of adolescents was significant in the negative direction. Second, father attachment showed no moderation effect in the relationship between self-esteem and maladaptive behavior of adolescents. Third, mother attachment played a quantitative moderating role in the relationship of self-esteem and maladaptive behaviors of adolescents. This study suggested the implication to reduce youth maladaptive behavior in the base of these results.

• The Korean Journal of Applied Statistics
• /
• v.20 no.2
• /
• pp.323-332
• /
• 2007

We present a new type of portmanteau test in the frequency domain which is derived from the discrete cosine transform(DCT). For the stationary time series, DCT coefficients are asymptotically independent and their variances are expressed by linear combinations of autocovariances. The covariance matrix of DCT coefficients for white noises is diagonal matrix whose diagonal elements is the variance of time series. A simple way to test the independence of time series is that we divide DCT coefficients into two or three parts and then compare sample variances. We also do this by testing the slope in the linear regression model of which the response variables are absolute values or squares of coefficients. Simulation results show that the proposed tests has much higher powers than Ljung-Box test in most cases of our experiments.

• Journal of the East Asian Society of Dietary Life
• /
• v.19 no.5
• /
• pp.819-826
• /
• 2009

The present study, we purposed to surveyed how much Korean natives' valuation of value traditional food as a tourism resource and their perception of traditional food, and to measured the attractiveness and potential of traditional food. For this purpose, we reviewed previously published studies research on traditional food and tourism resources, and conducted a questionnaire survey of urban citizens in Seoul on traditional food. Three hundred distributing 300 questionnaires were distributed and recovering 242 of them were returned. In this study, SPSS for Windows 16.0 was used for empirical analysis and the subjects' demographical characteristics were analyzed through frequency analysis. In addition, reliability analysis were performed to test the overall reliability of the empirical survey and collected data. Factor analysis was conducted to integrate variables, and the effect of the attractiveness of traditional food on purchase intention for traditional food was tested through multiple and simple regression analysis. Inquiring By surveying into the attractiveness of traditional food as a tourism resource, this study attempted to formulate a causal relation model among major variables, and examined the effects of the attractiveness of traditional food as a tourism resource on purchase intension based on Korean natives’ perception of and attitude toward traditional food, which is a Korean cultural heritage. Furthermore, and furthermore, made we provided suggestions for the improvement and development of traditional food.

• The Korean Journal of Applied Statistics
• /
• v.29 no.6
• /
• pp.1077-1094
• /
• 2016

Apache Spark is a fast and general-purpose cluster computing package. It provides a new abstraction named resilient distributed dataset, which is capable of support for fault tolerance while keeping data in memory. This type of abstraction results in a significant speedup compared to legacy large-scale data framework, MapReduce. In particular, Spark framework is suitable for iterative machine learning applications such as logistic regression and K-means clustering, and interactive data querying. Spark also supports high level libraries for various applications such as machine learning, streaming data processing, database querying and graph data mining thanks to its versatility. In this work, we introduce the concept and programming model of Spark as well as show some implementations of simple statistical computing applications. We also review the machine learning package MLlib, and the R language interface SparkR.

• Pediatric Gastroenterology, Hepatology & Nutrition
• /
• v.23 no.3
• /
• pp.276-285
• /
• 2020

Purpose: Non-alcoholic fatty liver disease (NAFLD) ranges in severity from simple steatosis to steatohepatitis. Early detection of NAFLD is important for preventing the disease from progressing to become an irreversible end-stage liver disease. We developed a nomogram that allows for non-invasive screening for NAFLD in obese children. Methods: Anthropometric and laboratory data of 180 patients from our pediatric obesity clinic were collected. Diagnoses of NAFLD were based on abdominal ultrasonographic findings. The nomogram was constructed using predictors from a multivariate analysis of NAFLD risk factors. Results: The subjects were divided into non-NAFLD (n=67) and NAFLD groups (n=113). Factors, including sex, body mass index, abdominal circumference, blood pressure, insulin resistance, and levels of aspartate aminotransferase, alanine aminotransferase (ALT), γ-glutamyl transpeptidase (γGT), uric acid, triglycerides, and insulin, were significantly different between the two groups (all p<0.05) as determined using homeostatis model assessment of insulin resistance (HOMA-IR). In our multivariate logistic regression analysis, elevated serum ALT, γGT, and triglyceride levels were significantly related to NAFLD development. The nomogram was established using γGT, uric acid, triglycerides, HOMA-IR, and ALT as predictors of NAFLD probability. Conclusion: The newly developed nomogram may help predict NAFLD risk in obese children. The nomogram may also allow for early NAFLD diagnosis without the need for invasive liver biopsy or expensive liver imaging, and may also allow clinicians to intervene early to prevent the progression of NAFLD to become a more advanced liver disease.

• Journal of Fashion Business
• /
• v.22 no.3
• /
• pp.122-142
• /
• 2018

In the virtual fitting system, the use of a 3D avatar is not a simple garment model, but it should be able to reproduce the size and shape of the customer using a fitting system. Although various virtual fitting systems have their own 3D avatar sizing systems and provide 3D avatars that match the size of the customer, there are limitations in realizing the actual body shape in actual use by the consumer. The purpose of this study is to realize a 3D avatar with excellent size and conformity for customer use. Therefore, this study aims to provide basic data for the formation of a 3D standard avatar of Korean women aged in their 20's, by comparing and analyzing the degree of the consumer user friendly system change of a body type, and the consumer's ability in selecting a consumer representative body type. Based on the survey data of 'Size Korea' conducted from 2004 to 2015 at three times, we examined the change of body shape over 10 years. Then, based on the results of 6th and 7th data, 4 factors of the concurrent body shape change of women of the consumer demographic studied were selected through the use of a factor analysis. Following this analysis, the 4 extracted factors were clustered again and finally released 7 representative body types, which were obtained based on height and weight. The size of each representative figure is derived by the use of a regression analysis, and it is used as a basic data for 3D avatar formation of the virtual fitting system.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.2
• /
• pp.399-408
• /
• 2015

This paper presented airquality data through data visualization in several ways and described its characteristics related to statistical methods for analysis. Software R was used for visualization tools. The airquality data was measured in New York city from May to September of year 1973. First, simple, exploratory data analysis was done in terms of both data visualization and analysis to find out univariate characteristics. Then through data transformation and multiple regression analysis, model for describing the airquality level was found. Also, after some data categorization, overall feature of the data was explored using box plot and three-dimensional perspective drawing and scatter plot.

• Journal of Digital Convergence
• /
• v.14 no.6
• /
• pp.467-475
• /
• 2016

This study examined the impact of departmental trust on departmental development and academic performance in the department affiliated with physical eduction. Furthermore, it investigated the differences of departmental development and departmental trust by gender and school year of the students. Data were analyzed from 313 students in the department affiliated with Physical Education from 6 institutions of a 4-year university located in Seoul, Gyeonggi-do, Incheon, and ChungChong-do. For the research questions, simple linear regression model and two-way multivariate analysis of variance were analyzed. Results indicated that departmental trust had a positive effect on departmental development. But, departmental trust statistically had no effect on academic performance. Sophomore and junior in departmental development were higher than senior. Junior in departmental trust was higher than senior. There was no statistically difference in departmental development and departmental trust by gender.

• Journal of the Korean Institute of Educational Facilities
• /
• v.6 no.2
• /
• pp.13-23
• /
• 1999

This paper seeks to find out the policies of management and layout of middle school rooms for the community people's use. This paper surveys community's needs with respect to both the use of school rooms before, during, and after classes and preferences of use of school rooms. This paper adopts two experimental case studies to find out the models. It uses t-test analysis of the statistics to find out community people's preferences for the use of school rooms between two communities in an urban area, and uses simple and multiple regression analyses to develop models concerning community people's uses of school rooms before, during, and after classes. It also uses cluster analysis to find out the cluster among community people's preference of school rooms. It found, first, that community people's use of school rooms after class can be influenced by the uses of a play ground, a music classroom, an audio visual classroom, and a gymnasium. The use during regular classes is related to the uses of the fine arts classroom, a general classroom, a home economics classroom, a gymnasium, and a playground. The use before class is affected by the uses of a fine arts classroom, a playground, and a library. It also found that, with respect to community people's preferential use of school rooms, the rooms can be clustered as a cluster of laboratories such as a general classroom, a music room, a fine arts classroom, a science classroom, a home economics classroom, and a technique classroom, a cluster of athletic areas such as a gymnasium and a playground, and a cluster of supporting facilities such as a library, an audio visual classroom, and a computer classroom. Those clusters can also be clustered in more detail, i. e., that both a general classroom and playground can be apart from a cluster of laboratories or a cluster of supporting facilities; that an audio visual classroom can be fostered into a cluster with a home economics affairs classroom and a technique classroom. Finally this paper suggests policies of management and layout of school rooms.