• 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.

• 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

• Journal of the Korean Home Economics Association
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• v.41 no.6
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• pp.119-129
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• 2003

This study was peformed to establish the standard size system to be required for the production of brassiere. The subject were 155 Korean twenties-aged women and were directly measured anthropometrically. From 27 measurements, 5 factors were extracted through factor analysis. The accumulative contribution ratio is 76.92％. Factor 1 indicates the degree of obesity around the chest, factor 2 is the drooping degree of breast, factor 3 is the contours and prominence, factor 4 is the breast breadth and breadth of bust point, factors 5 is the volume of breast. The subject were classified into 3 cluster as their breast types through cluster analysis. Type 1 is the closest to the ideal breast shape and not too droopy. This group belonged to 75A. Type 2 has small breast and belonged to 70AA group. Type 3 is the obesest and has the biggest and droopy breast. This group belonged to 75B. The distribution of size of brassiere had 3 sections from 70 to 80 showing a rate of 81.94% and the sin of the cup had 4 sections from AAA cup to B cup showing a rate of 89.70％. The production ratio of each brassiere size, it was found that the brassiere size of highest production ratio was 75A(16.39％) in type 1,70AA(16.27%) in type 2, and 75B(13.72％) in type 3. This suggests that it is necessary to adjust for the production rate of brassieres.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.8
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• pp.1420-1431
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• 2001

This research was done to classify lower body types by direct measurements, side and back view types from waistline to gluteal furrow line individually, and to analyze correspondence these lower body types with side and back view types from waistline to gluteal furrow line. The subjects of this study were 191 female college students from 18 to 25 years old residing in Pusan urban area. Type 1(long and slim) of lower body types by direct measurements was correspond with Type 1(slim curve) and Type 4(slim and protrusive hip) of side view and Type 3(wide and curve) and Type 4(trapezoid shape) of back view. Type 2(short and thick) of lower body types was correspond with Type 3(thick and droopy hip) of side view and Type 1(wide and straight) of back view. Type 3(short and slim) of lower body types was correspond with Type 2(slim and flat hip) of side view and Type 2(narrow and curve) of back view.

• Journal of the Korean Society of Costume
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• v.26
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• pp.279-288
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• 1995

The objective of the study was to provide fun-damental data on somatotype for elderly women by classifying the somatotype and analyzing the characteristics of their somatotype. The subjects were 368 women ages of 60∼84, they were measured direct anthropometry. In or-der to find out differences among the age groups, the 368 subjects were grouped into two age groups(Group 1 aged 60 to 69, Group 2 ; aged 70 to 84) Data were analyzed using Factor analysis, Cluster analysis, Duncan test and Analysis of variance. The results of this study were as follows. 1. The characteristics of Elderly women's somatotype were bending of the upper-torso, fat-ness of the waist and abdomen, drooping of the bust and shoulder and hip. In addition, height, girth, depth and width items were decreased in their sizes respectively. 2. Through the factor analysis, we extracted 5 factors from anthropometric measurements. Factor components were obesity, height, girth of the leg and arm, length of the upper-torso except the center front length, the center front length, we categorized by 4 clusters using 5 factor scores. And after the cluster analysis using 5 factor scores, 4 clusters were categorized. The characteristics of clusters were as follows. Type 1 was characterized by short, obesity type, and droopy bust. Type 2 was characterized by short and slender type, dropped bust, and bending somatotype from the lateral view. Type 3 was characterized by middle sized and straight somatotype from the lateral view. Type 4 was characterized by tall and obese type from the lateral view.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.881-903
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• 2021

This study aimed to analyze adult men's body sizes and shapes and suggest size specifications to provide preliminary data to academia and industries. A total of 814 adult men aged 30-44 were selected from the 7th Size Korea data, and 55 direct upper body measurement and calculation items were analyzed using SPSS 25.0. In individual Individual differences, thickness, circumference, and width were high, and height and length were low. Height above the waist base line and shoulder dimension decreased in early 40s age group, while height below the waist base line declined as age increased. In addition, buttocks shape changes were found in early 40s age group. According to factor analysis, 'upper body and upper-extremity horizontal size', 'torso height and upper extremity length', 'shoulder dimension', 'upper body length' and 'shoulder angle' were derived. Using clustering analysis, four different body types were classified: i) big abdomen with flat chest, ii) slender with big, raised shoulders, iii) dwarfish with small, droopy shoulders, and iv) obese with large shoulders. 'Slender with big, raised shoulders' was a typical body shape among men aged 30-44. In older participants, the 'big abdomen with flat chest' ratio was low, while 'obese with large shoulders' was more common. This study proposed size specifications by body type considering the above characteristics.