• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.2
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• pp.282-297
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• 1996

The effective construction for ready-made clothes is one of the central concerns of both consumers and manufactuers in today's apparel industry. In order to reduce the burden of stocks and increase clothing fitness, systematic information on typical body sizes and somatotypes is essential. The purpose of this study i-: to provide basic data on young women's somatotypes for form designers and pattern makers. The subjects of the survey were 310 women of 18 to 26 years old. The study collected 84 anthropometric data for each Person. The data was analyzed by using of the multivariate method. The factor analysis was utilized in regard to the 65 items obtained from anthropometric measurement respectively. The principal component analysis was applied to the data with orthogonal rotation after extraction. The factor scores used in the factor analysis became the basis of determining the value of each variable of the cluster analysis. The cluster analysis was applied for identifying typical somatotypes. Ward's minimum variance method was applied for the purpose of extracting distance metrix by the standardized Euclidean distance. The element forming each cluster can be subdivided into several sets by crosstabulation which is obtained by the fastclus of the SAS. This research has demonstrated 3 distinctive types of silhouette contour of the trunk. Incidentally it also identified 4 of the lower body from the waistline to thigh contour respectively. The discriminant analysis showed that the most significant discriminant factor of the trunk classification were side neck point -1 scapular -1 waistiline length and waist girth. In Korea, the average somatotype of female college students tends to be tall, slim and straight. Reviewing the relationship between the classifications of three parts of body, they are related to each other to some extent but their distribution are not constant. Therefore, in view of clothing construction, a proper separation of the body surface is a necessity.

• Journal of the Korean Dietetic Association
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• v.9 no.4
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• pp.326-335
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• 2003

This study was carried out to collect information to establish a framework for meal management and nutritional service for prevention of chronic degenerative disease in the industrial workers. We investigated the health concerned life-style, nutrient intakes, anthropometry and biochemical parameters in the male workers in Korea by work condition. Anthropometric parameters of height, weight, waist, hip and triceps skinfold thickness were measured and biochemical parameters including Urine pH, hemoglobin, blood glucose, total cholesterol, GOT, GPT, $\gamma$-GPT and blood pressure were determined for 101 subjects(50 office workers : 33.9yr, 51 laborers : 34.4yr). To assess the nutrient intakes and diet quality of workers, dietary intake was measured by one day 24-hour recall method. Result of anthropometric parameters of height(p<0.01), weight(p<0.05), hip(p<0.05), TSF(p<0.01) were significantly higher in office workers than in laborers. Biochemical parameters were not significantly difference in both of them. Average daily nutrient intakes of both groups was higher than the Korean RDA and report on 2001 National Health & Nutrition Survey. The calcium(p<0.01), iron(p<0.05), vitamin A(p<0.01), vitamin B1(p<0.01) and niacin(p<0.05) intakes in laborers were significantly higher than in office workers. Nutrition adequacy ratio(NAR), mean adequacy ratio(MAR) and index of nutritional quality(INQ) of laborers were higher than those of office workers. This results indicated that the onset possibility of chronic degenerative disease appeared higher in office workers. Therefore, meal menagement and nutritional service for prevention of chronic degenerative disease of industrial works needs to be more variant guidelines.

• Journal of the Korean Home Economics Association
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• v.41 no.6
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• pp.1-12
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• 2003

The purpose of this study were to analyze the anthropometric data of feet of Korean women with aging, to categorize the women's foot shapes, and to compare the shoe size according to the foot shapes in order to provide the basic information for more comfortable shoes. Subjects of this study were 181 women over age 20. They were measured with the direct measurement method and the indirect measurement method. 26 items were measured from the right foot and 6 items were taken on foot outline. Factor analysis, cluster analysis, analysis of variance, post-hoc test, and cross tabs were peformed for statistical analysis of the data by SPSS program. There were significant differences in height items, breadth items, girth items, and angle items by subjects' age. The older subjects' feet were wide and thick with big deformity on toes. The arch height of the older ones was low. This implicates that the degree of deformity on toes, the foot ratio, the foot girth, the foot breath and the arch height as well as the foot length are needed to be considered in developing comfortable shoes. Nine foot construction factors were extracted by the factor analysis of anthropometric measurements; foot size factor, heel and instep factor, malleolus lateralis factor, malleolus medialis factor, foot shape factor, shape of toes factor, heel height factor, big toe height factor, and internal factor. On the basis of the cluster analysis, three different foot shapes were categorized. Type 1 was large and wide foot with little deformity on little toe. Type 2 was medium foot with deformation of big toe, and with the lowest arch height. Type 3 was small and narrow foot with the highest arch height. Distribution of shoe size according to the foot shape was analyzed. The ball of foot breath was of wide distribution than the ball of foot girth. This implicates that girth items and breath items of the foot should be enclosed for the same foot length in the shoe sizing system.

• Journal of the Ergonomics Society of Korea
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• v.29 no.6
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• pp.831-841
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• 2010

Usability evaluation of physical products involves characterizing complex physical interactions between humans and products. Human models known as manikins have been widely utilized as usability evaluation tools for automobile interior package design. When combined with computer-aided design software programs, such manikins can be used to simulate driving postures and evaluate driver-interior fits early in the design process, and therefore, may greatly facilitate achieving high-quality design in a cost-efficient manner. The purpose of this study was to define a set of manikins for designing automobile interior packages for the South Korean male population. These manikins were conceptualized as "boundary" manikins, which represent individuals lacking in certain physical capacities or having usability-related issues (e.g., an individual with the 5th percentile forward reach capability, an individual with the 95th percentile shoulder width). Such boundary manikins can serve as an efficient tool for determining if an automobile interior design accommodates the majority of the population. The boundary manikins were selected from the large sample of Korean males whose anthropometric dimensions were described in the recent Size Korea anthropometric database. For each male in the database, his comfortable driving posture was represented using a kinematic body linkage model and various physical capacity measured and usability-related characteristics relevant to driver accommodation were evaluated. For each such measure, a boundary manikin was selected among the Korean males. The manikins defined in this study are expected to serve as tools for ergonomic design of automobile interior packages. The manikin selection method developed in this study was implemented as a generic software program useful for various product design applications.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.8
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• pp.1117-1129
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• 2013

The sizing system for Korean Standard of Disposable Protective Coveralls (DPC) uses the ISO sizing system without modification even though the user suitability for Koreans is unverified. This study provides useful information to improve the size standard of Korean DPC by analyzing measurement DPC data from Korean men and women. The distribution of Korean measurements shows that the size sections were unsuitable for Korean men and women for a protective clothing size standard. Body types were categorized into five types based on a cluster analysis of representative men's and women's measurement factors. Two clusters mostly consisted of men, two other clusters mostly consisted of women, and the other cluster relatively evenly consisted of men and women. Therefore, characteristic body measurements and measurement distribution differences were identifiable for men and women. In conclusion, an unmodified ISO protective clothing size standard is unsuitable for Korean men and women and may cause fit problems. This study shows that a Korean Standard of protective clothing is beneficial for protective clothing manufacturers and wearers if smaller size intervals are added for women and the difference in the distribution of men and women is reflected in the current sizing system. ISO is appropriate to use a Korean Standard in this global era, however, it should be reviewed to provide improved Korean data.

• Journal of radiological science and technology
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• v.43 no.6
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• pp.503-509
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• 2020

This study aims to develop a patient-specific radiation exposure dose prediction model based on anthropometric data that can be easily measurable during CT examination, and to be used as basic data for DRL setting and radiation dose management system in the future. In addition, among the machine learning algorithms, the most suitable model for predicting exposure doses is presented. The data used in this study were chest CT scan data, and a data set was constructed based on the data including the patient's anthropometric data. In the pre-processing and sample selection of the data, out of the total number of samples of 250 samples, only chest CT scans were performed without using a contrast agent, and 110 samples including height and weight variables were extracted. Of the 110 samples extracted, 66% was used as a training set, and the remaining 44% were used as a test set for verification. The exposure dose was predicted through random forest, linear regression analysis, and SVM algorithm using Orange version 3.26.0, an open software as a machine learning algorithm. Results Algorithm model prediction accuracy was R^2 0.840 for random forest, R^2 0.969 for linear regression analysis, and R^2 0.189 for SVM. As a result of verifying the prediction rate of the algorithm model, the random forest is the highest with R^2 0.986 of the random forest, R^2 0.973 of the linear regression analysis, and R^2 of 0.204 of the SVM, indicating that the model has the best predictive power.

• The Korean Journal of Physiology and Pharmacology
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• v.27 no.1
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• pp.49-59
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• 2023

Metabolic syndrome (MetS) involves multi-factorial conditions linked to an elevated risk of type 2 diabetes mellitus and cardiovascular disease. Pre-metabolic syndrome (pre-MetS) possesses two MetS components but does not meet the MetS diagnostic criteria. Although cardiac autonomic derangements are evident in MetS, there is little information on their status in pre-MetS subjects. In this study, we sought to examine cardiac autonomic functions in pre-MetS and to determine which MetS component is more responsible for impaired cardiac autonomic functions. A total of 182 subjects were recruited and divided into healthy controls (n=89) and pre-MetS subjects (n=93) based on inclusion and exclusion criteria. We performed biochemical profiles on fasting blood samples to detect pre-MetS. Using standardized protocols, we evaluated anthropometric data, body composition, baroreflex sensitivity (BRS), heart rate variability (HRV), and autonomic function tests (AFTs). We further examined these parameters in pre-MetS subjects for each MetS component. Compared to healthy controls, we observed a significant cardiac autonomic dysfunction (CAD) through reduced BRS, lower overall HRV, and altered AFT parameters in pre-MetS subjects, accompanied by markedly varied anthropometric, clinical and biochemical parameters. Furthermore, all examined BRS, HRV, and AFT parameters exhibited an abnormal trend and significant correlation toward hyperglycemia. This study demonstrates CAD in pre-MetS subjects with reduced BRS, lower overall HRV, and altered AFT parameters. Hyperglycemia was considered an independent determinant of alterations in all the examined BRS, HRV, and AFT parameters. Thus, hyperglycemia may contribute to CAD in pre-MetS subjects before progressing to MetS.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.1
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• pp.57-65
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• 2008

In the vehicle design, the research on driving posture has stood out as one of the important issues. Recently, the research on 3D human modeling focused on more exact implementation of real driving posture. However, prediction of driving posture through the 3D human modeling fail to reflect on the model the phenomenon called sagging, which refers to the retraction or shrinking of the torso while driving. 30 male subjects participated in the experiment where total subjects were divided into four groups according to height percentile(under 50%ile, 51%ile to 75%ile, 76%ile to 95%ile, over 95%ile). The independent variables were seat back angle(4 levels) and seat pan angle(2 levels). The dependent variable was capacity or the degree of retraction of the torso. First this study measured the sagging capacity by using a paired T-test between erect and retracted posture. Secondly it was tried to find out significant anthropometric variables that were statistically correlated by the analysis of correlation. Finally, a prediction model was derived which explains the capacity of sagging.

• The Research Journal of the Costume Culture
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• v.11 no.1
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• pp.153-164
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• 2003

For this study, 148 female adults between the ages of 20 and 60 who satisfied the plus-size judgment criteria took part in this study. Criteria were Rohrer index is higher than 1.5, bust girth larger than 90cm, and RBW(relative body weight) index higher than 110. Using anthropometric measurement values, indirect measurement values, and index values, this study analyzed frequencies, Duncan multiple range, and ANOVA to obtain information on characteristics that determine a representative body shape, by age, 1'3r Plus-sized women. The results are as follows: Physical Characteristics of Pius-Sized Women by Their Age: Women in their 20s md 30s had broader shoulders with smaller waists, with large buttocks and thighs. Among women in their 50s and 60s, body fat level increased significantly in regions such as the chest and abdomen, which made their upper body heavier.

• The Research Journal of the Costume Culture
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• v.3 no.2
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• pp.293-306
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• 1995

The purpose of this study is to analysis children's measurement and to provide the fundamental information for he clothing design which can reflect the characteristic of their bodies. An anthropometric database used for this study was the 1992 national anthropomatric survey of Koreans. The results obtained are as follows; (1) Children showed the significant difference of their growth in accordance with the increase of their ages. There were also the difference between body and girls. Height, length of items grew most promthy. For example; boys from 10 to 11 and girls from 10 to 11 again their height mostly. (2) In character of body proportion, significant difference were found in accordance with their ages and sex. However, in the items of height, length noticeable changes of proportion could not be found because there were hardly any actual difference of size means while girth items appeared differently. (3) There were significant factors from the result of factor analysis of body dimension. The fist factor ; grith, depth, breath. The second factor ; height, length. (4) We can class three groups with the results of cluster analysis of body dimension.