• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.6
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• pp.995-1007
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• 1995

The purpose of this study is to examine on breast shapes of elderly women and provide fundamental data for developing brassiere. Numerous anthropometric measurements and other related data from 398 subjects were analyzed by various statistical methods such as ANOVA, Correlation analysis, Factor analysis and Cluster analysis. 1. Analysis of Breast Measurements The subjects were categorized into three groups(Group I; aged 55 to 64, Group II; aged 65 to 74, Group III; aged more than 75). 1) The results of the comparative analysis of anthropometric data from three groups show that by getting older: - $\circled1$ Breast lengths, widths, heights and bust girths are decreased significantly $\circled2$ Various length measurements related to the drooping degree of breast are increased $\circled3$ Some measurements related to the volume of breast are decreased. 2) The results of the correlation analysis among measurement show that there are no directs linear relationships between under bust girth and bust drooping. Further it turned out that the cup size could be used as a factor explaining the volume of breast due to large subject variation, Thus it is required to have more specific information about the breast volume. 2. Analysis of Breast Shapes 1) From 17 measurements, 5 factor were selected as key factors for the factor analysis of breast analysis of breast shapes. The 5 factors are: $\circled1$ Drooping degree of breast $\circled2$ slope between breast and chest, width of bust point $\circled3$ Contours and prominence of breast at the point of front and side $\circled4$ Breast volume $\circled5$ Breast width. 2) We categorized the breast shapes into three types by Cluster analysis. Type 1 is the most common breast shape in elderly women. $\circled1$ Type L: Not too droopy and large breast $\circled2$ Type 2: A little droopy and small breast $\circled3$ Type 3; Very droopy and wide breast

• Archives of Plastic Surgery
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• v.45 no.4
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• pp.333-339
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• 2018

Background Flap volume is an important factor for obtaining satisfactory symmetry in breast reconstruction with a transverse rectus abdominis myocutaneous (TRAM) free flap. We aimed to develop an easy and simple method to estimate flap volume. Methods We performed a preoperative estimation of the TRAM flap volume in five patients with breast cancer who underwent 2-stage breast reconstruction following an immediate tissue expander operation after a simple mastectomy. We measured the height and width of each flap zone using a ruler and measured the tissue thickness by ultrasound. The volume of each zone, approximated as a triangular or square prism, was then calculated. The zone volumes were summed to obtain the total calculated volume of the TRAM flap. We then determined the width of zone II, so that the calculated flap volume was equal to the required flap volume ($1.2{\times}1.05{\times}$the weight of the resected mastectomy tissue). The TRAM flap was transferred vertically so that zone III was located on the upper side, and zone II was trimmed in the sitting position after vascular anastomosis. We compared the estimated flap width of zone II (=X) with the actual flap width of zone II. Results X was similar to the actual measured width. Accurate volume replacement with the TRAM flap resulted in good symmetry in all cases. Conclusions The volume of a free TRAM flap can be straightforwardly estimated preoperatively using the method presented here, with ultrasound, ruler, and simple calculations, and this technique may help reduced the time required for precise flap tailoring.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.4
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• pp.133-140
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• 2004

This study deals with human reaction speed according to human physical conditions (body size) such as head width, thickness, breast width, arm extent, and age. Especially, the results of this study are compared between young and old generation. According to this study, the thickness and extent factor do not have any correlation with human reaction speed, but width factors(head width, breast width, etc) have some correlation with human reaction speed. The result of this study can be used to find fitter person for a special job such as emergency condition job, sports man (because you can find a person having a good talent for it without test). Also, the purpose of this study is to find CNT (Channel Noise Time). The word of CNT is to explain the relation between Channel Noise and working speed. (Channel Noise is a kind of noise happening between the human information transmission channel.)

• Journal of the Korea Fashion and Costume Design Association
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• v.5 no.1
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• pp.59-71
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• 2003

The purpose of this study is to provide for the basic data useful to the development of a quality brassiere featuring a good wearing feeling and an effect of reinstating and correcting breast shape. For this purpose, 220 adult women aged between 20 and 59 were sampled to survey their perceived and actual breast shapes. The results of this study can be summarized as follows; 1. Most adult women correctly perceive the changes of their breast shapes as they become older. However, the younger women tend to evaluate their breast as larger than their actual sizes, being more dissatisfied with their breast shapes than older women, while wanting their constitution to be more high and slim. In short, there is a little difference between their perceived and actual breast shapes. 2. The breast shape perceived most by the adult women is "droopy type I"(37.7%), followed by "conical type"(21.8%), "flat type"(16.8%), "semi-circular"(10.8%), "droopy type II"(8.6%) and "extruded type"(5.0%) in their order. The younger women tend to perceive their breasts as "flat", "conical" or "semi-circular", while the older women tend to perceive their breasts as "droopy". 3. According to the increase of age, the items of height were decreased and items of width, depth, circumference and length were increased, being obser and breast point were drooped. so volume and bottom area of breast of 40ㆍ50's women's age group were larger than 20?30's women's age group and breast point width of 40ㆍ50's women was being wider by increase of interior dimensions of breast.

• Fashion & Textile Research Journal
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• v.7 no.3
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• pp.301-308
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• 2005

The purpose of this study is to design men's clothing pattern that supplemented the problems of body shapes, by grasping the physical characteristics of middle-aged men and classifying their body shapes through comparing measurements after carrying out the human-body measurement targeting 120 middle-aged men at the age of 35-49 in full. As to the technical-statistic analysis of the measurement items, it could be seen that the middle-aged people who are the research target, have the obese body shapes. As a result of carrying out the factor analysis by the measurement analysis, it was derived the totally five factors such as thickness and width, stature and height, weight and girth, the bust length, and the shoulder shape. The total communality is 78.47%, and as a result of the cluster analysis by the factor score, it was classified into three clusters. Type 1 is the body shape with the great stature, the waist region a little obese, and the biggest thickness, width and girth. It is a flat body shape with the narrow shoulder and the smallest difference between the breast width and the waist width. As type 2 is the body shape that is small stature and is relatively not fat, it is the shape with the biggest difference between the breast width and the waist width and with the wide shoulder. Type 3 is the body shape that belongs to the middle of type 1 and type 2, has the upper-part body longer than other body shapes, and has the developed breast region with the biggest bosom width and bosom thickness.

• Human Ecology Research
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• v.52 no.5
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• pp.509-518
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• 2014

This study strives to analyze the characteristics of and changes in breast shapes of women in their 30s, whose bodies start to age and whose breasts experience changes due to internal and external factors such as pregnancy, childbearing, and breast-feeding. The analysis of the indirect breast measurements for each age group (early, mid, and late 30s) demonstrates that the volume of the breasts increases proportionally with age, the breasts lose their firmness, and the nipples start to point downwards rather than to the sides. The breast shapes experience more significant changes vertically than horizontally as the breasts start to sag downwards. The composition factors of the breasts have been classified into five factors: the level of volume in the breasts and the surrounding area, the degree of sagging in the breasts, the position and vertical width of the breasts, the volume of the breasts, and the degree of width between the breasts. The breasts have been categorized into three different shapes. Breast Shape I (32.56%) appeared most frequently among women in their mid 30s, and this shape falls into the category of Sagging I, which is one of the six breast types that have been classified by the Japanese Wacoal Research Center, in addition to Korean size 80A. Breast Shape II (38.76%) appeared most frequently among women in their mid 30s, and this shape has been categorized as flat with its size being 70A. Breast Shape III (28.68%) appeared most frequently among women in their early 30s with a conical shape and size 75A.

• Journal of the Ergonomics Society of Korea
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• v.13 no.2
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• pp.25-31
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• 1994

This research examines classifying and characterizing breast form's classification on elderly women, 242 subjects from 55 to 75 years of age participated. 27 direct anthropometric measurement were applied to classify the breast typesl. We analyzed measurement data using factor analysis, cluster analysis, analysis of variance. The results of the study were as follows. 1) 55-64 aged group was taller and higher than 65-79 aged group. Typical breast form in 55-64 aged group was more obese than breast form in 65-79 aged group. 2) We extracted 5 factors(obesity of breast, height of breast, height of breast items, location & size of breast, width of upper chest & shouldet length, height of breast & lower length of nipples) from total items through factor analysis. 3) Through cluster analysis, we categorized 3 clusters. Namely, type 1; characterized the best slender type, type 2; characterized middle sized type, type 3: characterized obesity type. Type 2 is the typical type on elderly women.

• Archives of Plastic Surgery
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• v.42 no.2
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• pp.226-231
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• 2015

The aim of this study is to consider breast imagery in art as depicted through western painting. Twenty western art paintings were collated. Most of the sample paintings were created from the mid-nineteenth century to the late twentieth century and some are from the Renaissance period. Ten anthropometric items were used to measure 15 distances between two landmarks and 3 angles between three points. The distance from the nipple to the sternal notch and to the midclavicular point was the same and they were 0.46 of the distance from the sternal notch to the umbilicus. The shape of the projection of the breast was almost an isosceles triangle and the altitude of the triangle was at a proportion of 0.45 of the bottom length and 0.16 of the distance from the sternal notch to the umbilicus. The distance between the lateral ends of the breasts was 2.14 times the facial width and the distance between nipples was 1.36 times the facial width. Proportions from works of art are more ideal and attractive than clinically measured proportions. The desirable ratios measured from historical paintings might be useful in planning breast surgeries.

• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.2
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• pp.11-21
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• 2009

Recently, as custom-made demand about female underwear is increased, securing of a various dimension system is urgent, and satisfaction of each customer cannot be heightened with established dimensions. If we could measure shape of a living body with a fast and simple method, the custom-made demand of customers could be satisfied in the underwear as well as a clothing industry by using the method. One of the alternatives is shape measurement of the living body by a Moire fringe method. If we put a grating in front of an object to be measured and illuminate light, a Moire fringe with contour line shape is generated in the object, so we can conveniently measure object shape without touching directly by using the pattern. The Moire fringe and three-dimensional shape of the breast of the living body was acquired by a PMP method using a polygon mirror, and height and bottom width of the breast of the living body were measured by using obtained data in this study. Data of breast shape measurement through a mannequin was collected in a previous step as basic material for measuring the breast shape measurement of the living body. Three women in the twenties were selected as one of methods for measuring breast shape of a woman. As a result of the breast shape measurement of a living body A, it was measured that height of the breast was about 67.24mm and the bottom width was $13781.60mm^2$. This study is expected to contribute for collecting basic data of a female underwear industry and establishing a specification of a dimension system.

• Journal of the Korean Society of Costume
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• v.64 no.4
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• pp.106-117
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• 2014

The purpose of this study is to provide basic information for the development of well-fitting and comfortable brassieres for women in their 30s, based on the classification of breast shapes by utilizing 3D body measurement data of women in the age group. The result of processing the measurements from the 3D body scan data through RapidForm 2006 shows that while the vertical body measurements decrease, the horizontal measurements, which indicates the degree of obesity, increase proportionally with age. Also, the relevant measurements for upper breasts increase proportionally with age, while the measurements for lower part of the breasts decrease as the degree of sagging increases. Four composition factors of the breasts were identified through the factor analysis: Factor 1 is the level of volume in the breasts and the surrounding area; Factor 2 is the position of nipples and the shape of upper part of breasts; Factor 3 is the position and vertical length of the breasts; Factor 4 is the shape of lower part of breasts; and Factor 5 is the shape of inner part of breasts and degree of width between both breasts. The breasts have been categorized into three distinctive shapes: Breast Shape 1, Breast Shape 2 and Breast Shape 3. According to the results of the cluster analysis, the largest percentage (36.68%) of women in their 30s falls into the category of Breast Shape 2 with small volume and flat upper breasts, followed by Breast Shape 1 (32.66%) with large volume in the upper and lower parts of breasts, and large side to side area, and Breast Shape 3 (30.65%) with average volume and width between breasts.