• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.937-954
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• 2010

This study analyzes the body characteristics of Korean obese women using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen from previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects for this study. 54 body measurements and obesity judgment indices were used. First, the subjects had a BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, and WHR 0.90. In the case of the distribution by age groups, the twenties were 6.4% of the entire subjects, the thirties were 18.2%, the forties were 16.4%, the fifties were 37.4%, and the sixties were 21.5%. The result of the ANOVAs (divided into 5 age groups) showed significant differences in 41 measurement items except for bust circumference, waist length front, and all of obesity judgment indices. Second, according to the ANOVAs among stature groups divided by 5cm pitches there are significant differences in all measurements except for bust circumference. The results of the ANOVAs among bust circumference groups divided by 5cm pitches show that significant differences were observed in all measurements except four measurement items (including body rise). According to the ANOVAs among the waist circumference groups divided by 5cm pitches, there are no significant differences in all height measurements and shoulder length, waist to hip length, and crotch length. It is confirmed that stature and bust circumference have a deep relationship with measurements other than waist circumference. Third, as the factor analysis were conducted using 39 measurement items to extract the body characteristics of obese women Factor 1 is "circumference measurements & obesity judgment indices," Factor 2 is "heights & arm-related lengths," and Factor 3 is "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences," and Factor 8 was "neck base circumference & front widths in upper body." These 8 factors explained 76.54% of the total variance.

• Journal of the Korean Society of Costume
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• v.51 no.6
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• pp.167-176
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• 2001

This study analyzes characterization and classification of body types of Mongolian women aged 18∼39 ages. The anthropometric measurements of the research subjects come up to a total of 23 items and are summarized as follows : 1. As the results of comparative analysis of the body measurements by age group, 16 items show a significant difference except shoulder height, thigh girth, neck base girth, back length shoulder length, sleeve length and weight. Both age group are considered to be of average weight but 25 to 39 age group were slightly greater than that of the 18 to 24 age group. 2. As the results of factor analysis, 4 factors such as the first factor on the obesity of body, the second factor on the vertical size of body, the third factor on the back length, the forth factor on the shoulder width and neck base girth were extracted. 3. As the results of classification based on the duster analysis, the body types were classified into 3 types in each age group. In each age group the most frequent body type is average stature and slightly thin type.

• Journal of the Korean Home Economics Association
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• v.34 no.4
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• pp.245-256
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• 1996

The purpose of this study were 1) to understand clothing involvement and body cathexis of elderly women, 2) to examine differences between store atmosphere factor on clothing involvement and body cathexis, 3) to find out its relationship with clothing involvement and body cathexis. Data were collected by questionnaire of 248 elderly women. Frequency, factor analysis, Chi-square, t-test, F-test, F-test, correlation and Duncan's multiple range test were used in data analysis. As a result, 1) clothing involvement of elderly women were classified with importance, fashion and interest, symbolism factor and there was significant differences with display, comfort, interior, convenience factor. 2) Elderly women were not satisfied with their body sufficiently and there was significant differences only display factor(store location, show window, display). 3) Clothing involvement was significant differences variables were found in relationship to body cathexis except income. 4) There was positive correlation between clothing involvement and body cathexis. The higher body cathexis, the more interest clothing.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.3
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• pp.345-352
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• 2000

The purpose of this study was to classify lower body types of elementary school girls. The subjects for anthropometric study were 368 girls aged from 10 to 11. Factor analysis, cluster analysis, discriminant analysis, and analysis of variance were performed for statistical analysis of the data. Four lower body construction factors were extracted by the factor analysis of antropometric measurements. The factors extracted were lower body fatness factor, lower body height factor, lower body length from the waist to the crotch factor, and lower body configuration factor. On the basis of the cluster analysis, three different lower body types were categorized. Type 1 was short and small sized type and 42.4% of subjects belonged under this type. Type 2 was tall and fat type and 22.3% of subjects belonged under this type. Type 3 was the most similar to the average type having the largest waist-hip drop value and 35.3% of subjects belonged under this type. Discriminant analysis showed 7 discriminant factors that can classify the children's lower body type were Rohrer's index, height, fibulae length, waist girth, ilio cristale girth, trochanter girth, and weight.

• Journal of the Korean Society of Costume
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• v.42
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• pp.163-172
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• 1999

The purpose of this study is to classify the types of torso of adult females using the tight fitting technique and pattern development figure. The subjects are 106 females of 19 to 24 years old. 59 different items are measured from body surface development and analyzed by factor analysis and cluster analysis. The results are as follows; 1. Eight somatotype factors are obtained through factor analysis and orthogonal rotation by the method of Varimax Factor 1 is the length of upper body factor 2 the length of lower body factor 3 the circumference and width of the back of upper body factor 4 the circumference and width of front torso factor 5 the dart type of the back of upper body factor 6 the size of the back neck factor 7 the type of the front shoulder and factor 8 the size of the back arm hole. 2. As a result of cluster analysis the somatotype of torso is classified into 5 types. Type 1 is normal in length circumference and width of upper body. Type 2 is shortest length circumference and width of torso. Type 3 is long in length circumference and width of torso. Type 4 is normal length and short in circumference and width especially short in bust circumference. Type 5 is longest in length circumference and width of torso.

• Fashion & Textile Research Journal
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• v.5 no.4
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• pp.379-388
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• 2003

The purpose of this study was to compare the somatometric characteristics obtained from the factor scores of both upper and lower body by regional differences. The sample group was drawn from boys at the ages 7 to 12 living in Pusan and Kyungsangnam-do. Data from each boy comprised 57 anthropometric measurements and 11 photographic measurements. The study reached following conclusions. 1. According to the result of factor analysis, five indicative factor's were obtained from the upper body measurements and four indicative factors were obtained from the lower body measurements. 2. According to the comparision of factor scores on measurements of the upper body between Pusan and Kyungsangnam-do, there were differences in all five factors. Boys in Pusan had higher stature, bigger frame, more protruded chest and shoulder blades, more sloping curve along with the backbone, more protruded belly, narrower and sloping shoulders than boys in Kyungsangnam-do. 4. According to the comparision of factor scores on measurements of the lower body between Pusan and Kyungsangnam-do, there were differences in factor 1 and factor 4. Boys in Pusan had bigger frame and flatter hip than boys in Kyungsangnam-do.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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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.

• The Research Journal of the Costume Culture
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• v.17 no.6
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• pp.1099-1111
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• 2009

The purpose of this study is to classify body shapes of aged women by using 3D body scan data. For the body shape analysis and classification, 3D body scan data of 270 aged women were used, and 16 main measurements consisting of a human body were used to conduct factor analysis, cluster analysis and discriminant analysis. The analysis were performed on all 'the method using the absolute value', 'the method using index of height and weight', and 'the method using index of height', and according to the classification results, the method which categorizes body shapes best in terms of their shapes was adopted. As the factor analysis result using the numerical value of height to categorize the body shapes of the aged women, factor 1 was the thickness and width for the height, factor 2 was the height of the upper part of the body for the height, factor 3 was the height of hips for the height, and factor 4 was the height of belly for the height. When the body shapes were categorized with the deducted factors as variables, they were divided into two types. Type 1 was a short and fat body shape($\blacksquare$ type) and 55.6% of the subjects were of this type. Type 2 was for the body shape whose vertical height, including weight, was long but all kinds of width and thickness were small, that is, tall and thin body shape($\blacksquare$ type), and 44.4% of the aged women were in this case.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.3
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• pp.443-453
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• 2008

The purpose of this study was to identify the perception between real and ideal body shapes of college students and to investigate the preferred body shape of college students. The research subjects numbered one hundred forty five male and female students, aged 20 to 29, who lived in Gwangju and Chonnam province. The anthropometric data was collected including both direct and indirect measurements. The data was analyzed by mean and standard deviation, t-test, and factor analysis. The results of t-test showed the significant difference($p{\leq}.001$) between real body size and ideal body size. The result showed that male students want to have bigger chest circumference and a taller height than their real body, the research also showed that the female students want to have a narrow bust and hip width along with a taller height than real body. Regarding ideal body shape, male students pursued bigger height and want an inverted-triangle body shape. On the other hand, female students pursued bigger height and slim body shape. This study established the factors(dimension of torso, height, the side shape of torso, and shoulder shape) as the perception between real and ideal body shapes. In terms of real body, the factor analysis shows two contrasting results in which the height is the most important factor for female students, while the torso dimension is the most important factor for male students. In terms of ideal body, the height factor is the most important for both the male and female students.

• Journal of Fashion Business
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• v.17 no.6
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• pp.141-157
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• 2013

In this study, we analyzed the figure type and lower-body size of Shanghai and Hong Kong adult women in their early twenties using the data obtained from 3D whole body scanners. We also provided concrete information related to women's lower bodies, in terms of crotch width, crotch length, inseam, outseam, slope of waist, etc., among women in Shanghai and Hong Kong. The result may be useful to the Chinese apparel industry when designing trouser pants for adult women. According to the results of the factor analysis for categorizing the body shape of the lower half, 5 factors were obtained: obesity of the lower half factor, height of the lower half factor, length from waist to the crotch factor, factor related to legs, and shape of the abdomen factor. After performing a cluster analysis according to the factor analysis, three clusters were set: Cluster 1 was represented as the lower half growth type, which has a high value in height of the lower half factor and grows in the abdomen part. Cluster 2 was represented as thin legs type, which has a low value in most part compared to the length of leg bones and factors about legs that have high value. Cluster 3 was represented as the obesity type having a high value in the obesity of the lower half factor. Overall, thin legs type achieved a high rate in Shanghai adult women and obesity type received a high rate in adult women living in Hong Kong.