• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.33-47
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• 2012

The purposes of this study were to investigate the differences of self-efficacy and appearance management behavior according to demographic variables, to disclose the relationship between self-efficacy and appearance management behavior, and to examine the characteristics that affect appearance management behavior of male and female college students. The research method was a survey method using a questionnaire. The subjects were 632 college students (male: 302, female: 330) living in Seoul area. Statistical analysis methods were factor analysis, Cronbach's ${\alpha}$-reliability coefficient, t-test, ${\chi}^2$-test, one-way ANOVA, Duncan's multiple range test, Pearson's product-moment correlation coefficient, and multiple regression analysis. The self-efficacy factor derived four categories including self-control efficacy, social self-efficacy, physical self-efficacy, and task difficulty preference. The college students who were in higher social stratification and older had more appearance management behavior, and those who had lower task difficulty preference and lower physical self-efficacy had more plastic surgery management. Both men and women who had higher self-control efficacy had more clothing management. Women who had higher self-control efficacy, social self-efficacy, and task difficulty preference had more appearance management expenses.

• Child Health Nursing Research
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• v.7 no.2
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• pp.203-212
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• 2001

The subjects were 349 high school boys and girls who were 10th and 11th graders in Seoul, Korea. Statistical analysis included percentages, means, Pearson correlation coefficient, ANOVA, t-test, and stepwise multiple regression analysis. As a result, there were positive correlations between social support, stress reduction and increases in health behavior. Stepwise multiple regression analysis of social support, stress, and adolescents health behavior showed that social support explained 26.3％ of the variance in health behavior, The more social support subjects experienced more health behavior level and the less the correlated stress level. In the area of demographic attributes, gender, height, weight, grade level, socioeconomic level of the parents, and stress were significantly correlated, grade levels, religion, socioeconomic level of parents and social support. sibling order, religion, socioeconomic level of the parents, parents education, occupation of father. and health behavior were statistically significant The findings indicated stress was a negative factor in health behavior, and social support was a positive factor in reducing stress and promoting health behavior. To reduce adolescents stress and to promote health behavior, we should endeavor to develop realistic social support programs.

• Korean Journal of Community Nutrition
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• v.2 no.2
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• pp.151-158
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• 1997

This study was conducted to observe the relationship between diet and blood pressure for Korean(kangwha) and Nepali adolescents. 542 middle school students in Korea and 159 students in Nepal in the same age(14-15yr) group were investigated as the study subjects. Data for blood pressure as well as weight and diet were collected for the analysis. multiple regression analysis was employed to identify the influencing factors among the variables considered. As the results, the mean body weight of body weight of boys and girls in Kangwha was 54.5Kg, 50.6Kg which was 17Kg and 10Kg heavier than the weight of the Nepal students. Dietary survey result showed that there was no big difference in energy intake in Kangwha and Nepal students., Mean energy intake of Kangwha boys was 2, 848kcal and that of Nepal boys was 2, 720 kcal. The similar result showed significantly lower intake in other nutreints than that of Kangwha subjects whose consumption level was close to the Korean Recommended Dietary Allowances. The result of multiple regression analysis showed that weight was the greatest influencing factor on blood pressure both in Kangwha and in Nepal subjects. Nevertheless, after controlling the weight factor, there were axxociations observed between diet and blood pressure. And the relationship was stronger in case of Nepal than in Kangwha.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.3
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• pp.383-392
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• 2014

Purpose: In this study, we sought to understand the risk factor for chronic disease of workers by studying the association between occupational standing time and metabolic syndrome(MetS) in full-time 300 male workers. Materials: Data on age, life habit, work related information of the subjects were surveyed using self-reported questionnaire and interview. MetS was identified based on the report of Alberti et al.(2009). As for the data analysis, SPSS 19.0 was used to conduct the descriptive statistic, ANOVA, Pearson correlation coefficient and multiple logistic regression analysis. Results: Daily working hour affects on the lifting heavy objects, running and strenuous exercise(r=-0.137, p<0.01), and total physical function decreased with the increase in age(r=-0.145, p<0.01). Also, obese was significantly associated with genuflection and bend over(r=-0.110, p<0.05). On multiple logistic regression analysis for the diagnostic indices of MetS, occupational standing time were significantly associated with waist circumference(odds ratio=0.885, ${\beta}$ value=-0.122, 95% CI=0.797-0.983, p<0.05) and triglyceride (odds ratio=0.873, ${\beta}$ value=-0.136, 95% CI=0.800-0.953, p<0.01). Conclusions: These results suggest that the working posture may be important risk factor in pathogenesis and growing of MetS and cardiovascular disease.

• Journal of the Korean Society of Food Science and Nutrition
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• v.24 no.4
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• pp.493-501
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• 1995

To investigate an effect of dietary sodium and potassium on blood pressure, 418 adolescents living in Kangwha area were studied. Two measurements were taken on each blood pressure(diastolic, systolic) and the average of the two readings was used in the analysis. Sodium and potassium intake were estimated by the determination of those electrolytes in 24hr urine. Not only dietary factors but also physical growth factors such as weight, height, arm-circumference and skinfold-thickness were induced in the stepwise multiple regression analysis to indentify the relative importance between the factors. The variation of blood pressure both in systolic and diastolic in both sexes was inconsistent with the levels of sodium and potassium intake. The results of multiple regression analysis showed that the physical growth were more influential than nutrient factor. It suggested that hypertension risk factors observed form the adults, may not be identical with that of the growing aged population. After control of the physical growth, there was no significant variation observed by the level of sodium and potassium intake on blood pressure. In summary, the results indicate that growth has been more influential than dietary factor on blood pressure for growing aged population.

• Proceeding of EDISON Challenge
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• 2016.03a
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• pp.209-216
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• 2016

Holes of rivets, bolts and nuts may cause stress concentration on the plates used in aircraft, ship and other structures. Excessive stress concentration may lead to severe breakage of the plates. Thus, accurate analysis of the stress concentration at the design stage will be important. In this paper, accuracy of EDISON program in stress concentration analysis was examined. By changing hole size on a narrow plate, the change of the stress concentration factor(K) was investigated. Additionally, the same experiment was conducted about series of holes on plate to investigate the interaction between adjacent holes. Then, these numerical results were compared with the analytic prediction. EDISON program showed very high accuracy about stress concentration, since the numerical results was correlated well with the analytic prediction.

• Journal of the Korean Society of Food Culture
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• v.25 no.2
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• pp.134-140
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• 2010

This study focuses on testing the validity of dimensions of restaurants' menu prices. In addition, the effect of demographic variables on the perception of each price dimension was investigated. The subjects were people living in the capital region who have, at least on occasion, gone to family restaurants. The data were collected by self-administered questionnaires and analyzed by factor analysis, reliability analysis, confirmatory factor analysis, and the ANOVA t-test. The results were that consumers' perception of restaurant menu prices is not uni-dimensional, but has six dimensions: price-price schema, pricequality schema, value consciousness, low price proneness, price mavenism, sales proneness. Demographic variables partially affect the consumers' perception of each menu price dimension. The result of the t-test examining dimensions of price according to the demographic characteristic was that females have a higher sales proneness than males. The t-test result according to marriage indicated that married people were higher in price-price schema and quality proneness than unmarrieds. ANOVA according to age indicated that people between ages of 20 to 29 have a higher quality proneness than those of other ages.

• Geophysics and Geophysical Exploration
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• v.12 no.2
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• pp.199-207
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• 2009

From 329 earthquake data in the Korean Peninsula, we separated the intrinsic and scattering quality factor ($Q_i^{-1}$ and $Q_s^{-1}$) using the Multiple Lapse Time Window Analysis (MLTW) method. For the homogeneous velocity structure, $Q_i^{-1}$ reduces the amplitudes of both direct and coda waves; $Q_s^{-1}$ diminishes the direct wave amplitude but enlarges the coda wave amplitude. Based on this phenomenon, MLTW method analytically derives theoretical curves and obtains $Q_i^{-1}$ and $Q_s^{-1}$ by least square fit with observation curves. This study is the first approach for the seismic stable region by MLTW method, and show that $Q_i^{-1}$ and $Q_s^{-1}$ in the Korean Peninsula are very low at lower than frequencies of 5 Hz. This low value seems to be related to the inactive tectonism of the Korean Peninsula.

• Geomechanics and Engineering
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• v.13 no.2
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• pp.237-254
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• 2017

Estimation of slope stability is a very important task in geotechnical engineering. However, its estimation using conventional and soft computing methods has several drawbacks. Use of conventional limit equilibrium methods for the evaluation of slope stability is very tedious and time consuming, while the use of soft computing approaches like Artificial Neural Networks and Fuzzy Logic are black box approaches. Multiple Regression (MR) analysis provides an alternative to conventional and soft computing methods, for the evaluation of slope stability. MR models provide a simplified equation, which can be used to calculate critical factor of safety of slopes without adopting any iterative procedure, thereby reducing the time and complexity involved in the evaluation of slope stability. In the present study, a multiple regression model has been developed and tested its accuracy in the estimation of slope stability using real field data. Here, two separate multiple regression models have been developed for dry and wet slopes. Further, the accuracy of these developed models have been compared and validated with respect to conventional limit equilibrium methods in terms of Mean Square Error (MSE) & Coefficient of determination ($R^2$). As the developed MR models here are not based on any region specific data and covers wide range of parametric variations, they can be directly applied to any real slopes.

• Journal of Preventive Medicine and Public Health
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• v.46 no.1
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• pp.28-38
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• 2013

Objectives: This study aimed to collect information that will help enhance the social networks and improve the quality of life among elderly people by observing the relationship between their social network and health-related quality of life (HRQoL) and by analyzing social network factors affecting HRQoL. Methods: This study was based on the 2008 Community Health Survey in Yeoncheon County. Three hundred elders were included in the study population. We compared the revised Lubben Social Network Scale (LSNS-R) score and Euro quality of life-5 dimensions health status index by demographic characteristics and chronic disease prevalence. We analyzed the data using multiple regression and tobit regression by setting the HRQoL as the dependent variable and social network and other characteristics as the independent variables. We analyzed social network factors by using factor analysis. Results: The LSNS-R score differed significantly according to age and existence of a spouse. According to the results from the hierarchical multiple regression analysis, the LSNS-R explained 0.10 of the variance and LSNS-R friends factor explained 0.10 of the variance. The tobit regression indicated that the contribution of the LSNS-R family size factor to the regression coefficient of the independent variable that affected the HRQoL was $B_T$=2.96, that of the LSNS-R family frequency factor was $B_T$=3.60, and that of LSNS-R friends factor was $B_T$=5.41. Conclusions: Social networks among elderly people had a significant effect on HRQoL and their networks of friends had a relatively higher effect than those of family members.