• Journal of Preventive Medicine and Public Health
• /
• v.41 no.1
• /
• pp.1-9
• /
• 2008

Objectives : This study evaluated knowledge structure and its effect factor by analysis of co-author and keyword networks in Korea's preventive medicine sector. Methods : The data was extracted from 873 papers listed in the Journal of Preventive Medicine and Public Health, and was transformed into a co-author and keyword matrix where the existence of a 'link' was judged by impact factors calculated by the weight value of the role and rate of author participation. Research achievement was dependent upon the author's status and networking index, as analyzed by neighborhood degree, multidimensional scaling, correspondence analysis, and multiple regression. Results : Co-author networks developed as randomness network in the center of a few high-productivity researchers. In particular, closeness centrality was more developed than degree centrality. Also, power law distribution was discovered in impact factor and research productivity by college affiliation. In multiple regression, the effect of the author's role was significant in both the impact factor calculated by the participatory rate and the number of listed articles. However, the number of listed articles varied by sex. Conclusions : This study shows that the small world phenomenon exists in co-author and keyword networks in a journal, as in citation networks. However, the differentiation of knowledge structure in the field of preventive medicine was relatively restricted by specialization.

• Journal of Environmental Health Sciences
• /
• v.35 no.4
• /
• pp.269-277
• /
• 2009

Objective : The objective of this study was to examine how experts and the public perceived various environmental and technological hazards based on psychometric paradigm. Methods : We conducted a survey that included 30 hazards and 10 risk attributes. Subjects of this study were 214 people with three groups; (1) experts (55 people), (2) graduates( 78 people), (3) under graduates (81 people). Factor analysis was used to confirm the common risk attribute from 8 risk attributes. Also, multiple regression analysis was used to identify factors influencing on perceived risk and benefit of hazards. Results : This study revealed that experts tend to be more tolerant than graduates and under graduate students for the 30 hazards. Using factor analysis, two main factors were identified: factor 1, commonly called "Dread Risk", and factors 2, commonly called, "Unknown Risk" in the literature. We identified that environmental hormone concentration and global warming ranked high in both dread risk and unknown risk. Multiple regression models were used to test the association of perceived social risk and perceived social benefit with two main factors. Dread risk had significant explanatory power on perceived social risk and benefit. We identified that the experts were less likely to perceived dread risk and know more information about the hazards. Conclusions : There were differences of risk perception between experts and lay people. Especially, experts' perception of risk was commonly lower than other people's perception.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.15 no.2
• /
• pp.88-97
• /
• 2011

For Korean design provisions are not equipped for skewed steel box girder bridges, when American provisions are adopted, load distribution factors different from real behavior are determinated. Furthermore the possibility of over or under estimated bridge design involves. The aim of this study is to provide more rational load distribution factor formulas based on real behavior for shear at obtuse corner of skewed steel box girder bridges. In order to accomplish the aim finite element analysis for a variety of skewed steel box girder bridge structural models is carried out, and each parameters degree of influence on wheel load distribution factors of skewed steel box girder bridges are analyzed. Then multiple regression analysis is fulfilled in order to propose formulas for determinating shear force load distribution factor of skewed steel box girder bridges.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.2 no.1
• /
• pp.15-36
• /
• 2007

This study attempts to investigate about the factor affecting the export performance of Korean venture companies. The ways of data collection for this study depend on documentary records, opinion investigation of experts, and the cases. The samples for this study are investigated from the Korea Chamber of Commerce and Industry and he Ministry of Commerce about the nation's 700 the small and medium export venture companies' the business showings in December 2005. The survey executed May 10th, 2006 to May 31st, 2006, for about 22 days. The survey collected total 518 copies which included telephone request and interview researched about 269 copies, direct visits 162 copies, mail survey 87 copies. This study used 500 copies except 18 copies which don't have reliability or can handle easy. The statistical analysis techniques, which are used in survey analysis, areas follows. First, it divided 2 categories which are an export strategy and other factors, then it executed factor analysis and reliability analysis. Second, it executed multiple regression analysis which can search effect export strategy and growth in each categories.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.29 no.4
• /
• pp.44-52
• /
• 2001

This study performed factor analysis for 21 independent variables related to the effect of illumination and suggested the effect by multiple regression analysis on the relationship between the effect of illumination and the satisfaction of use of a dependent variable to find the effect of illumination in urban parks at night and the effect of illumination on the satisfaction of use. The results of this study are as follows; 1) Of the 21 independent variables used to study the effect of illumination in urban parks at night, the impact on safety and possibility of crime was highly. The effects of illumination by factor analysis were abstracted as effects of removing anxiety, securing safety, increasing use. 2) As a result of multiple regression analysis, independent variables influencing satisfaction of use in urban park were proved as effects of removing anxiety, securing safety, increasing identity, preparing atmosphere and increasing use. Also, the effect of securing safety was the most important factor; it showed a level of importance 2 times higher than the effect of removing anxiety, and 7.7 times higher than the effect of preparing atmosphere in relative contribution of the effect of illumination to satisfaction of use. 3) Of the effects of illumination influencing satisfaction of use in urban parks, the effect of securing safety and the effect of increasing visibility were more significant than the effects of removing anxiety, preparing atmosphere and increasing use. This fact means that personal safety an the identity of persons or facilities in the space of use should be considered with priority in planning or designing illumination. Also, it implies hat, for night use in urban parks, lightness of the space is required for general safety of use at parks, and proper illuminance on the activity in the space of use should be required. The subject parks of this study are 8 urban neighborhood parks. The model on the effect of illumination and the satisfaction of use depends on characteristics and conditions of location of he park and user class, so the subject parks and persons should be varied, and the difference by sex or ages should be suggested.

• Nutrition Research and Practice
• /
• v.7 no.4
• /
• pp.330-335
• /
• 2013

Data are limited on the association between dietary patterns and screen time among Korean adolescents. The present study identified dietary patterns of 691 adolescents, aged 13-18 years, who had participated in the Third Korean National Health and Nutrition Examination Survey (KNHANES III) and analyzed their associations with screen time. Screen time was defined as the time spent watching TV, using a computer, or playing video games was calculated as a sum of all these times. Dietary patterns and their factor scores were derived from a food frequency questionnaire using the factor analysis method. To analyze the association between dietary patterns and screen time, we conducted multiple linear regression analysis. We also performed multiple logistic regression analysis to estimate odds ratios (OR) of excessive screen time (2 hours or longer per day) and 95% confidence intervals (CI). We identified 2 dietary patterns labeled "the Korean healthy dietary pattern" and "the Western diet and fast foods pattern". The former included mixed grains, legumes, potatoes, red meat, eggs, fish, dairy products, fruits, vegetables, seaweeds, and mushrooms, whereas the latter included noodles, bread, red meat, poultry, fast foods, snack, and soft drinks. After controlling for potential confounding factors, factor scores for the Korean healthy dietary pattern were inversely associated (P-value for trend < 0.01) and those for the Western diet and fast foods pattern were positively associated with the screen time (P-value for trend < 0.01). Adolescents in the top tertile of the scores for the Korean healthy dietary pattern had a multivariable-adjusted OR [95% CI] of 0.44 (0.25-0.75) for excessive screen time compared with those in the lowest tertile. On the basis of these findings, adolescents who have excessive screen time may need to be encouraged to consume a more healthy diet.

• Journal of Family Relations
• /
• v.22 no.2
• /
• pp.71-97
• /
• 2017

Objectives: The purpose of this research was to analyze the influence of self-actualization needs, dependence on parents, and work-family balance stress affecting on the marriage friendly attitudes among the unmarried women in twenties and thirties. Method: The participants were 315 unmarried women connected by SNS. The data were collected by questionnaire method through SNS by the smart phone using by the snowball sampling method and analyzed by t-test, ANOVA, and hierarchical multiple regression analysis. Results: First, there were significant differences in the marriage friendly attitudes according to education level, religion, dating. In the case of college graduates, having religion and dating partner, unmarried women had more marriage friendly attitudes. Second, the results of multiple regression showed that the marriage friendly attitudes among unmarried women was significantly influenced by education, religion, and the humanity factor among the self-actualization needs, emotional dependence on parents and work-family balance stress. In addition, the humanity factor among the self-actualization needs was found to be the most influential factor on the marriage friendly attitudes among unmarried women in this study. Conclusion: This study suggests the importance of emphasizing humanity education, having the emotional close relationship with the parents, and enforcing social systems for work-family balance for the greater marriage friendly attitudes of unmarried women in twenties and thirties.

• Journal of the Korean Applied Science and Technology
• /
• v.40 no.4
• /
• pp.631-641
• /
• 2023

This study conducted an empirical analysis through a survey to analyze the effect of social risk perception caused by COVID-19 on college students' cosmetics purchase behavior. Factors were extracted through factor analysis, and Pearson's correlation analysis and multiple regression analysis were used to analyze the correlation of each factor and the impact of variables. To this end, a statistical analysis was conducted using 320 copies of the questionnaire as a sample. Studies have shown that the higher the fear of COVID-19, the higher the fear of infection, changes in life, and awareness of the economic crisis, and the higher the tendency to buy ostentatiously, habitually, and reasonably. The more changes in life, the higher the awareness of the economic crisis, and the higher the trademark habitual purchase and rational purchase behavior. Fear of infection has been shown to affect trademark habitual purchases, and fear of infection and changes in life have been shown to have a significant impact on rational purchase behavior.

• The Journal of Internal Korean Medicine
• /
• v.23 no.1
• /
• pp.1-4
• /
• 2002

Objective : Hyperhomocysteinemia has been proven to be an independent risk factor for stroke. The genetic mutation of methylenetetrahydrofolate reductase(MTHFR) elevates serum homocysteine level, but it still remains controversial whether the MTHFR gene mutation could be a predictor of ischemic stroke. Therefore, we studied if this genetic defect could cause ischemic stroke independently. Methods : We gathered ischemic stroke subjects and age, sex-matched controls. Age, gender, past medical history, smoking habit, serum homocysteine level, and the MTHFR genotype were recorded. General characteristics of ischemic stroke subjects were compared to the controls. We classified the stroke according to the related vessels(small and large artery infarction) and single lesion and multiple infraction. Relevant risk of the MTHFR genotype was evaluated in each stroke subtype with multiple logistic regression analysis. Results : When the controls were compared to the whole ischemic stroke, there was no specific difference except some medical histories. However, further analysis based on stroke subtypes showed important results. The small artery infarction group, multiple infraction group had significant odds ratio of the MTHFR TT genotype adjusted for age, gender, medical history and smoking habit. Conclusions : The MTHFR TT genotype is an independent risk factor for certain types of ischemic stroke, small artery infarction and multiple infarction.

• Geomechanics and Engineering
• /
• v.6 no.1
• /
• pp.1-15
• /
• 2014

In this study, artificial neural network (ANN) and multiple regression (MR) models were developed to predict the critical factor of safety ($F_s$) of the homogeneous finite slopes subjected to earthquake forces. To achieve this, the values of $F_s$ in 5184 nos. of homogeneous finite slopes having different slope, soil and earthquake parameters were calculated by using the Simplified Bishop method and the minimum (critical) $F_s$ for each of the case was determined and used in the development of the ANN and MR models. The results obtained from both the models were compared with those obtained from the calculations. It is found that the ANN model exhibits more reliable predictions than the MR model. Moreover, several performance indices such as the determination coefficient, variance account for, mean absolute error, root mean square error, and the scaled percent error were computed. Also, the receiver operating curves were drawn, and the areas under the curves (AUC) were calculated to assess the prediction capacity of the ANN and MR models developed. The performance level attained in the ANN model shows that the ANN model developed can be used for predicting the critical $F_s$ of the homogeneous finite slopes subjected to earthquake forces.