• 한국의류학회지
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• 제22권2호
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• pp.203-214
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• 1998

The purpose of this study is to classify the upper body of women into several kinds of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 53 females 30 to 39 years-old. Fifty-three anthropometric data are measured per shell of bodysurface; six somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score as an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows: 1. The number of the factors which explain the somatotype is six and those factors comprise 76.12 percent of total variance. Factor 1: related to the size of shape in the front of upper body Factor S: related to the size of shape in the back of upper body Factor 3: related to the type of the upper chest over the chest circumference line Factor 4: related to the length of·the upper body Factor 5: related to the part of the neck Factor 6: related to the type of the lower chest under the chest circumference line 2. Cluster analysis results in classification of upper body into five clusters. Cluster L: the length is the largest and the circumference is small. The part of waist is the largest and widest among surface areas. Cluster 2: Slender body line from chest to waist is characteristic. The length is longer. The part of upper and lower chest is larger among surface areas. Cluster S: the circumference is the smallest and armhole is small. The length and surface area are small. Cluster 4: the circumference and armhole is the largest. The length is the smallest. Cluster 5: the circumference is average and the length is a little long. The body line(silhouette) from chest to waist is curved slightly.

• 한국의류학회지
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• 제20권1호
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• pp.170-182
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• 1996

The purpose of this study is to classify the upper body of women into several kind.; of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 50 females 20 to 29 years-old. Fifty-one anthropometric data are measured per shell of body surface : eight somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score a.: an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows : 1. The number of the factors which explain the somatotype is eight and these factors comprise 81.63 percent of total variance. Factor 1 related to the degree of fatness in the front of upper body Factor 2 related to the degree of fatness in the back of upper body Factor 3 . related to the length of the upper body Factor 4 : related to the type of the upper chest over the chest circmference line Factor 5 : related to the armhole and neck Factor 6 : related to the type of lower chest under the chest circumference line Factor 7: related to the part of the back shoulder Factor 8: related to the depth of front neck and side dart of front independently 2. Cluster analysis results in classification of upper body into five clusters. Cluster 1 : the of circumference i.: lager and that of length is longer than the average The louver part of chest is the lagest and widest among surface areas. Cluster 2 : the circumference is the smallest , the length and surface area are small. The upper and lower chest is small Cluster 3 : the length and surface area are the smallest , the circumference is average. The body line (silhouette) from chest to waist is curved slightly.

• 패션비즈니스
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• 제13권4호
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• pp.124-136
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• 2009

This study was focused on classifying lower-body trunk and revealing the lower-body characteristics of the Chinese males in their 20s through 40s for their slacks pattern design. Compared with the 20s, the subjects in their 30s and 40s had small vertical and big horizontal sizes and showed a somatotype difference through a horizontal change. According to the size of absolute values, the lower body of Chinese men was "tall and normal trunk"(43.9%). Based on the shape of index values, Type 3(40.3%) was representative with average hip-surface length, waist-hip width difference and long upper hip. While Type 3 was seen a lot in the 20s(51.8%), 30s and 40s were each represented by Type 2(47.1%) with the smallest waist-hip width difference, average upper hip, and long hip-surface length and Type 1(45.9%) with small waist-hip width difference, average upper hip, and short hip-surface length. As this study is confined to Ningbo City of Zhejiang Province and has a small number of subjects, the generalization of the findings should be more serious. Further research will be centered on the development of slacks patterns in consideration of the body type changes.

• 패션비즈니스
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• 제12권2호
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• pp.87-99
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• 2008

This study aims to classify lower trunk body types of Chinese men in their middle age (30s and 40s) and suggest the standard for them to design slacks pattern. Mollison's relation deviations were used to analyze the direct measurement items in this research compared to those of Size Korea 2004. Though Korean middle-aged men were higher in most items than Chinese counterparts, all items except mid-thigh circumference and side hip length were merely within the range of ${\pm}1\sigma$. According to the results of size classification by absolute values, factor analysis extracted to 2 factors(horizontal size of lower body and vertical size of lower body), and cluster analysis brought about 3 types(type1: tall and thin trunk (36.9%), type 2 : normal height and thick trunk(45.5%), and type 3 : short and normal trunk(17.6%) with some significant differences among them. Also, the results of shape classification by index values, they were extracted 4 factors (waist-hip flatness, waist-hip cross section, vertical waist-groin and hip-surface length) by factor analysis and revealed 3 types(type 1: different waist-hip width, thick, long waist, long upper hip, and short hip-surface length(27.8%), type 2 : different waist-hip width, flat, short upper hip, high hip and groin, and average hip-surface length(29.4%), and type 3: small waist-hip width, thick, average upper hip, and short hip-surface length (42.8%)) with significant differences among them by cluster analysis. The results of standard body types by shape-size combination, 19subjects(10.16%) under these values are regarded as standard body types. Significance was not seen in all items in the t-test results between the total group and the standard group. The latter had lower variation coefficients and smaller individual differences than the former. However, in-depth research is required for generalization since this research is limited to a small number of subjects in Ningbo of Zhejiang.

• 한국의류학회지
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• 제33권8호
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• pp.1306-1314
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• 2009

This study investigates the progress of obesity in men from childhood to adulthood, by analyzing the measurement references from the 5th Size Korea. It also seeks to analyze the characteristics of obese figures through the comparison of body proportions to normal-weight people, to provide a basic reference for the development of new size categories and improved pattern grading. The age range is divided into three groups: children (2-7), teenagers (13-18), and adults (19-39). The results of research into the characteristics of body proportions of obese figures and the classification of different figure groups of obese people are as follows. The ratio between width and circumference for each part of the body was investigated according to body weight that was grouped into three different categories of low, normal, and obese body weights. The result demonstrated that in all the ranges of age, the obese groups had the lowest ratio between width and circumference in having a thick body shape. According to the results that compared the ratio of the circumference of each body part divided by the waist circumference, the obese group showed a low ratio that indicates that they have a bigger waist circumference than other parts of the body. Two factors are identified as contributing to obesity in analyzing the ratio of the circumference of body parts divided by waist circumference. Using the factor loadings of the upper and lower body obesity, a cluster analysis was carried out and three different categories of obesity were defined; lower body obesity, abdominal obesity, and upper body obesity. The obese groups of children and teenagers were mostly in body shape with lower obesity and abdominal obesity, whereas the adults group showed the obesity present in the upper body obesity that have fewer cases in lower body obesity.

• 한국의류학회지
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• 제17권3호
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• pp.448-458
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• 1993

The purpose of this study was to study real body size and ideal body shape by consoidering the degree of satisfaction at body part and understanding body size by the degree of leanness/obesity. The subjects in this study were 201 female college students aged from 18 to 26. Boby measurements and survey were taken from May to June, 1991 and 1992. Data were analyzed by correlation analysis, regression analysis, cluster analysis, ANOVA, discriminant analysis and crosstabulation analysis. The results were as follows ; 1. The subjects tended to be satisfied with long and slim limbs, slim trunk, and prefered to be tall in height and light in weight. Also the consciousness about thickness was keener than that about length of the body. 2. The subjects were conscious that lower body was more obese than and upper body. Also, the consciousness of whole body had higher correlation with that of upper body than lower body. 3. The subjects were classified into 4 clusters each consisting 23, 87. 68, 23 by cluster analysis of 21 variables after a transformation of measurements to eliminate body size factor. This classification was considered to express how lean or how obese a human body appears. 4. According to the degree of leanness/obesity from lean tendency group I to obese tendency group IV, characteristics of the body shape were changed as follows ; height lower, limbs shorter, trunk and limbs thicker and weight heavier. 5. The subjects of lean tendency group I were more satisfied with their body than those of obese tendency group IV. 6. The subjects, although they were not judged to be obese by somatometric measurements, felt themselves obese. Also, they hoped to be slimmer at lower body than upper body.

• 패션비즈니스
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• 제11권1호
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• pp.61-74
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• 2007

Photographic measurement was first made with the subjects of 190 males in their 20s residing in the Ningbo area, Zhejiang Province in China. In this second report, lower body shapes were classified and discriminated by using indirect measurement, measurement items, and lower body analysis. The following sums up the research: 1. The subjects were $8.85^{\circ}$ (hip breadth angle), $1.58^{\circ}$ (abdomen upper angle), $11.80^{\circ}$ (hip upper angle), and $5.12^{\circ}$ (lateral lower body posture angle). 2. The subjects of Chinese males in their 20s showed three types of lower bodies: Bow Legs & Slight Slant of Lateral Lower Body Type (30.5%)-gap between legs, curve waist-hip contour, average abdomen-hip profile, and lateral lower body posture were slightly slanted forward. Adjacent Straight Legs & Slight Slant of Lateral Lower Body Type (35.8%)-adjacent straight between legs, curve waist-hip contour, slim abdomen-hip profile, and lateral lower body posture were slightly slanted forward. Balance Legs & Large Slant of Lateral Lower Body Type (33.7%)-average between legs, straight waist-hip contour, protruding hip profile, and lateral lower body posture were largely slanted forward. 3. Eight useful variables for the categorization of the subjects' lower body types were chosen through stepwise discriminant analysis, and the hit ratio of discrimination was 97.9%.

• 한국의류학회지
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• 제46권4호
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• pp.672-686
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• 2022

The study classifies and analyzes the lower-body-shape types of female adolescents aged 14 to 16 years to provide meaningful information for making ready-to-wear patterns that are suitable for various female adolescent body types. The body-size data of 830 females aged 14 to 16 years were analyzed from 6th Size Korea anthropometric study. A factor analysis of 27 measurement items related to the lower body extracted 3 factors: waist/upper legs, height of the lower body, and hip area. A cluster analysis classified the female adolescent lower-body types into four clusters: the skinny body type with the shortest lower-body length, the most obese body type with the largest girth, the normal body type with the longest hip length, and the slender body type with the longest lower-body length. The discriminant analysis determined that nine measurement items had the most influence on classifying lower-body-shape types, and discriminant functions were derived. These results are meaningful because they provide more precise information about lower-body-shape types.

• 복식
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• 제64권4호
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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.

• 한국의류산업학회지
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• 제6권1호
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• pp.102-108
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• 2004

The anthropometric measurement and the photometric measurement for have been conducted 358 children from 4 years old to 6 years old to design children's clothing. The characteristics of body type were grasped among total 44 measurement items according to the aging, being extracted seven factors from factor analysis. From cluster analysis among the seven factors the three body types were classified. Type 1 shows low fat body with a small figure and short upper body. The body has a round belly and waist. Type 2 shows the fattest body with an average height. The body has been backed with lower shoulders. Type 3 shows common fat body with a high height and a big figure. The body shows crooked round back with a big upper body and rising shoulders.