• Journal of the East Asian Society of Dietary Life
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• v.11 no.1
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• pp.71-81
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• 2001

The Purpose of this study was to identify the dimensions and pattern types for the perception of Korean traditional food and to find the determinants of the pattern types, taking food cultural background into account. Data were factor and cluster analyzed, and the results revealed two different dimensions and pattern types. Descriptive statistics showed that perceptional pattern types, i.e., traditional-modern pattern and tradition-oriented pattern, are likely to vary depending on socio-demographic and cultural background of Korean traditional food in Korea. Similarities and differences in perceptional pattern types are discussed, and future implications for food and nutrition specialists and food marketers are provided.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.933-942
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• 2013

Common factor analysis and principal component analysis represent two technically distinctive approaches to exploratory factor analysis. Much of the psychometric literature recommends the use of common factor analysis instead of principal component analysis. Nonetheless, factor analysts use principal component analysis more frequently because they believe that principal component analysis could yield (relatively) less accurate estimates of factor loadings compared to common factor analysis but most often produce similar pattern of factor loadings, leading to essentially the same factor interpretations. A simulation study is conducted to evaluate the relative performance of these two approaches in terms of factor pattern recovery under different experimental conditions of sample size, overdetermination, and communality.The results show that principal component analysis performs better in factor recovery with small sample sizes (below 200). It was further shown that this tendency is more prominent when there are a small number of variables per factor. The present results are of practical use for factor analysts in the field of marketing and the social sciences.

• Nutrition Research and Practice
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• v.13 no.4
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• pp.316-322
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• 2019

BACKGROUND/OBJECTIVES: The association between dietary patterns and depression has been reported but the results have been inconsistent. This study was conducted to investigate the association between dietary patterns and depression in middle-aged Korean adults. SUBJECTS/METHODS: The participants were selected from a community-based cohort, a subset of the Korean Genome and Epidemiology Study. Depression was assessed using the Korean version of the Beck Depression Inventory (BDI) and those with a BDI score ${\geq}16$ were defined as having depression. The subjects' food intakes over the year preceding the survey were estimated by using a validated semi-quantitative food frequency questionnaire. Dietary patterns were identified by using factor analysis. Multiple logistic regression was used to assess the association of dietary pattern with depression. RESULTS: Among 3,388 participants, 448 (13.2%) were identified as having depression. We identified two major dietary patterns: 'Healthy' dietary pattern was characterized by high intakes of vegetables, soybeans, mushroom, seaweeds, white fish, shellfish and fruits and a low intake of white rice. 'Unhealthy' dietary pattern was characterized by high intakes of white rice, meats, ramen, noodles, bread and coffee and a low intake of rice with other grains. Compared with subjects in the lowest quartiles, those in the highest quartiles of the healthy dietary pattern had a significantly lower odds ratio (OR = 0.59, 95% CI: 0.42-0.82, P for trend = 0.0037) after adjusting for potential confounders. In contrast, the unhealthy dietary pattern was negatively associated with depression (OR = 1.65, 95% CI: 1.19-2.28, P for trend = 0.0021). CONCLUSION: This results suggest that a healthy dietary pattern (rich in vegetables, soybeans, mushroom, seaweeds, white fish, shellfish, and fruits) is associated with low risk of depression. Whereas an unhealthy dietary pattern (rich in white rice, meats, ramen, noodles, bread, and coffee) is associated with a high risk of depression in middle-aged Korean adults.

• Nuclear Engineering and Technology
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• v.25 no.2
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• pp.193-203
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• 1993

A new heuristic method for loading pattern search has been developed to overcome short-comings of the algorithmic approach. To reduce the size of vast solution space, general shuffling rules, a regionwise shuffling method, and a pattern grouping method were introduced. The entropy theory was applied to classify possible loading patterns into groups with similarity between them. The pattern search program was implemented with use of the PROLOG language. A two-group nodal code MEDIUM-2D was used for analysis of power distribution in the core. The above mentioned methodology has been tested to show effectiveness in reducing of solution space down to a few hundred pattern groups. Burnable poison rods were then arranged in each pattern group in accordance with burnable poison distribution rules, which led to further reduction of the solution space to several scores of acceptable pattern groups. The method of maximizing cycle length(MCL) and minimizing power-peaking factor(MPF) were applied to search for specific useful loading patterns from the acceptable pattern groups. Thus, several specific loading patterns that have low power-peaking factor and large cycle length were successfully searched from the selected pattern groups.

• Korean Parent-Child Health Journal
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• v.15 no.1
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• pp.20-32
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• 2012

Purpose: The purpose of this study was to identify clinical decision making pattern of pediatric nurses and analyze how it shows the differences in types of decision making pattern by nurses characters. Methods: A self-administered questionnaire was used to pediatric nurses of 4 general hospitals in Seoul from February 2004 to April 2004. The data of 251 nurses was analyzed by varimax rotation factor analysis, t-test, and ANOVA. Results: 6 decision making patterns were identified: Individual Patient-oriented, Pattern-oriented Intuitive, Typical Nursing Knowledge-oriented, Nursing Model-oriented, Medical Knowledge-oriented, and Patient-Family-Nurse Collaborative. Individual Patient-oriented, Pattern-oriented Intuitive, Typical Nursing Knowledge-oriented, and Nursing Model-oriented decision making pattern got meaningful differences in age, marital status, total number of years in nursing practice, and number of years in pediatric nursing practice. Conclusion: We expect the result of this study can be applied for promotion of understanding the decision making of nurses that occurs in pediatric nursing practice and also can be used as foundation data for development and expansion of pediatric nursing practice.

• Nutrition Research and Practice
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• v.3 no.2
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• pp.162-166
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• 2009

The objectives of this study were to identify the dietary patterns associated with hypertension among Korean males. Data from the 2001 Korean National Health and Nutrition Survey of 1,869 men aged 20-65 years were used for the analysis. As an initial analysis, a factor analysis was applied to identify major dietary patterns among the subjects. Then logistic regression analysis was conducted to identify the pattern related with hypertension. As a result of the initial analysis, three major dietary patterns were identified. Dietary pattern 1 (traditional) was heavily loaded with vegetables, fish and cereal. Dietary pattern 2 (Western) was loaded with fast foods, bread, meats and dairy products. Dietary pattern 3 (Drinker) was loaded with mostly pork, beer and soju (Korean liquor). From the second stage of the analysis, there was a tendency of positive association between traditional patterns and hypertension risks. However, the tendency did not meet statistical significance level (p<0.05). In summary, unlikely findings from European and American studies, vegetables rich traditional dietary patterns did not show any protective effect on hypertension in Korean males. The Korean dietary practice, which is consuming salted vegetables instead of fresh vegetables, might have played a role in these findings. However, the full explanation of the findings remained to be answered with further investigation since none of the dietary patterns identified showed any statistical significance.

• Korean Journal of Community Nutrition
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• v.14 no.6
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• pp.722-733
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• 2009

The purpose of this study was to explore dietary patterns and compare dietary patterns using cluster and factor analysis in Korean adults. This study analyzed data of 4,182 adult populations who aged 30 and more and had all of socio-demographic, anthropometric, and dietary data from 2005 Korean Health and Nutrition Examination Survey. Socio-demographic data was assessed by questionnaire and dietary data from 24-hour recall method was used. For cluster analysis, the percent of energy intake from each food group was used and 4 patterns were identified: "traditional", "bread, fruit & vegetable, milk", "noodle & egg", and "meat, fish, alcohol". The "traditional" pattern group was more likely to be old, less educated, living in a rural area and had higher percentage of energy intake from carbohydrates than other pattern groups. "Meat, fish, alcohol" group was more likely to be male and higher percentage of energy intake from fat. For factor analysis, mean amount of each food group was used and also 4 patterns were identified; "traditional", "modified", "bread, fruit, milk", and "noodle, egg, mushroom". People who showed higher factor score of "traditional" pattern were more likely to be elderly, less educated, and living in a rural area and higher proportion of energy intake from carbohydrates. In conclusion, three dietary patterns defined by cluster and factor analysis separately were similar and all dietary patterns were affected by socio-demographic factors and nutrient profile.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.774-779
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• 2012

Brain-computer interface based on motor imagery is a system that transforms a subject's intention into a control signal by classifying EEG signals obtained from the imagination of movement of a subject's limbs. For the new paradigm, we do not know which positions are activated or not. A simple approach is to use as many channels as possible. The problem is that using many channels causes other problems. When applying a common spatial pattern (CSP), which is an EEG extraction method, many channels cause an overfit problem, in addition there is difficulty using this technique for medical analysis. To overcome these problems, we suggest a binary particle swarm optimization with channel impact factor in order to select channels close to the most important channels as channel selection method. This paper examines whether or not channel impact factor can improve accuracy by Support Vector Machine(SVM).

• Korean Journal of Oriental Medicine
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• v.18 no.2
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• pp.139-149
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• 2012

Objectives : This is the study to understand of the pulse wave factor according to BMI and period of sterility on female, and to confirm the relationship of pulse wave factor among left and right inch, bar and cubit. Methods : The Questions and measurement of the pulse wave were operated with subjects(76 sterile females using on public health center). The measurement of the pulse wave was operated in 6 part of left and right inch, bar and cubit. The pulse wave was prior measured in part of left bar (i.e. interior pulsation part of radial process styloides in left hand), and next was measured in part of left inch and bar. And the pulse wave was operated samely in part of right inch, bar and cubit. Results : The results were as follows. The pulse energy of 6 part of left and right inch, bar and cubit was showed statistical significance and decreased in order of left inch, right inch, left cubit, right cubit, left inch, right bar. The left and right inch and cubit were showed numerical value of normal range, but left and right bar were showed lower pulse eneregy than normal range. Also left and right cubit were showed lower than left and right inch, and higher than left and right bar. In BMI, The pulse energy of left and right inch, cubit and the average of right hand was not showed statistical significance in the range of low-weight, normal, over-weight and obesity. But in the left and right bar and the average of left hand, the pulse energy of over-weight and obesity group were showed significantly higher than low-weight group. And the pulse wave factor was divided the pattern of h1 showing high numerical value in inch (Ap, As, Aw) and the pattern of Wm showing high numerical value in bar and cubit (RAI, Ad) Conclusions : The low pulse energy of bar was significant observation on the setting of oriental medical diagnostic index on sterilitas. Also, in the numerical value pattern of diverse pulse wave factor, it was divided the pattern of high numerical value in inch and the pattern of high numerical value in bar and cubit. On this, we think that the studies need in the future.

• Journal of the Korean Society of Costume
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• v.53 no.8
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• pp.1-10
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• 2003

The purpose of this study was to verify fitness of a new raglan sleeve pattern according to the result of appearance and function evaluation. Also, it was to search the relation between the construction factor and the function on the selected 3 types of the existent raglan sleeve patterns and the new sleeve pattern. Three female university students having different shoulder shapes were selected as subjects, wore 4 different types of the raglan steeve was evaluated by professional panel. The functions of the evaluated sleeve patterns evaluated was made by the wearer themselves. According to the comparison of the new raglan sleeve pattern with the existent raglan sleeve pattern, the new raglan sleeve pattern acquired the higher evaluation scores both on the appearance test and the function evaluation. It was known that the appearance and function of the raglan sleeve pattern were effected by construction factors of the sleeve pattern.