• Journal of Fashion Business
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• v.5 no.1
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• pp.17-33
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• 2001

The purpose of this study is to offer the basic data for chinese men' clothing construction. This study analyzes characterization and classification of body types of the Chinese men with body measurement values. This researcher executed the body measurement of total 39 items on 414 chinese men in Beijing and Shanghai aged 20-49 years old and analyzed the data with methods of analysis of variance, factor analysis and cluster analysis using it as the study item. The results of this study can be summarized as follows; 1. As the result of comparative analysis of the body measurements by age group and birth region group in Beijing and Shanghai, the horizontal items such as the widths, depths, and girths increased with advancing ages, while heights decreased. 2. As the result of factor analysis on the items in Beijing and Shanghai, 5 factors on such as the first factor on the obesity of body, the second factor on the size of vertical of body, the third factor on the length of upper body, the forth factor on the width of the shoulder, the fifth factor on the degree of dropping shoulder were extracted. 3. As the result of classification based on the cluster analysis in Beijing, the body type were classified into 3 types. So, to see the feature of body form by types, type 1 was tallest, fattest type. type 2 was small stature, fat. type 3 was tall, thin. In Shanghai, he body type were classified into 3 types. So, to see the feature of body form by types, type 1 was tallest, fattest type. type 2 was small stature. type 3 was tall, thin.

• Journal of the Korean Society of Costume
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• v.40
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• pp.95-107
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• 1998

The purpose of this research paper is to offer basic data for cloth design which is intended to apply appropriate shape and catacity to cloth. Followings are the analyzed result of investigation which was conducted to figure out the character of middle aged from 35 to 59 years old-women body especially in lower half of their body. 177 women took part in this investigation. 1. As a result of analyzed characters for middle aged women body shape, taking a side view of body, there are great variance in thickness coefficient which indicates the size of body. 2. According to a comparison result of early middle aged women body shape with late middle aged women body shape, the value in height items get shorter otherwise the value in thickness items get longer getting older. It means late middle aged women are relatively fat. 3. For the analysis of women body especially in lower half, 8 factors were used. They are as followings. Factor 1. Side thickness of lower half. Factor 2. Width of lower half. Factor 3. Height of lower half Factor 4. Droop of underbelly Factor 5. Salient rate of buttocks. Factor 6. Length of buttocks. Factor 7. Salient rate of underbelly. Factor 8. Droop of buttocks 4. Lower half shapes of middle aged women were divided into three groups and the character of each group are as followings. 〈Group 1〉65.0% of women who took part in this investigation have this type of body shape. They have long value in height items and thickness items. 〈Group 2〉16.4% of women who take part in this investigation were belonged to this group. The value in height items were not so different from group 1 but the thickness value are shorter than group 1. Women of group 2 have slime body shape. 〈Group 3〉18.6% of women were belonged to group 3. They show the shortest value in height items otherwise the longest value in thickness items. Therefore they are the smallest and the fattest group in this investigation.

• The Research Journal of the Costume Culture
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• v.23 no.3
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• pp.512-522
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• 2015

The aim of this study was to investigate the change in women's somatotype with aging. The subjects were 1,123 women aged 40~69. Their anthropometric data were from the 6th Size Korea. The data were analyzed by factor analysis and cluster analysis. Seven factors were extracted: body mass, body length, back shoulder, arm length factor, front interscye factor, body rise factor, and shoulder angle. The upper body types of middle-aged and elderly women were classified into five types: skinny, short stout body type with forward posture, composite, tall & full body type, and short & skinny. The skinny and composite body type appeared more often than the short stout body type in the early 40s of Korean women. Starting in the mid-50s, composite body type was less often found. However, the number of women with short stout body type increased. In the 60s, the number of women with short stout and tall & full body types decreased. These results reveal that the body types of middle-aged and elderly women changed with some pattern with aging. And women in their early 40s, mid-50s, and 60s women had different body shapes and postures.

• Fashion & Textile Research Journal
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• v.2 no.4
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• pp.300-307
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• 2000

The purpose of this study was to classify and analyze the body type of obese boys who are school year for 9 to 11 years. A total of 49 body measurements were collected for this study including both direct and indirect measurements (33 variables from the direct anthropometric data, 16 variables from the indirect anthropometric data). Data from anthropometric measurement were analyzed using descriptive, factor and cluster analysis. The obese boys investigated in this project were in the category of average height 146.31 cm, weight 52.17 kg. The values for the study were compared to values from the National Anthropometric Survey of Korea. As the result of factor analysis for the classification of body type, 6 factors were extracted from all items. The first was transverse size of upper body, also, the second was its longitudinal size. The third was thicknesses of front and back at side views. The fourth was shoulder shape. The fifth was upper body angle factor. The sixth was upper body length. The body form was classified with cluster analysis, using factor score. The shape of the body was classified in 3 types.

• Journal of Fashion Business
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• v.4 no.4
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• pp.83-96
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• 2000

The purpose of this study is to offer the basic data for chinese men' clothing construction. This study analyzes characterization and classification of body types of the Chinese men with body measurement values. This researcher executed the body measurement of total 39 items on 414 chinese men in Beijing and Shanghai aged 20-49 years old and analyzed the data with methods of analysis of variance, factor analysis and cluster analysis using it as the study item. The results of this study can be summarized as follows; 1. As the result of comparative analysis of the body measurements by age group and region group, the horizontal items such as the widths, depths, and girths increased with advancing ages, while heights decreased. 2. As the result of factor analysis on the items, 5 factors on such as the first factor on the obesity of body, the second factor on the size of vertical of body, the third factor on the length of upper body, the forth factor on the width of the shoulder, the fifth factor on the degree of dropping shoulder were extracted. 3. As the result of classification based on the cluster analysis, the body type were classified into 5 types. So, to see the feature of body form by types, type 1 was small stature, short parts of the body. type 2 was tallest, fattest and type 3 was small stature, fat. type 4 was tall, long length arm and leg, thick waist. type 5 was tall, long length arm and leg, fat.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.982-996
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• 2010

This study classified the body shapes of Korean obese women and investigated the differences of each body shape, using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen through previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects and 54 body measurements and obesity judgment indices were used in this study. Firstly, mean, standard deviation, minimum, and maximum values of each measurement and item were obtained from the descriptive analysis of 53 measurements. According to the descriptive analysis, all measurements and obesity judgment indices of the subjects demonstrated a serious obesity level shown by BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, WHR 0.90, and waist circumference 86.71cm. In addition, the measurements and indices showed considerable differences between minimum and maximum values. Significant differences were identified in all measurements and items at a significant level, p=.001. Each distribution of body types according to age, stature, bust, and waist circumference groups was provided in this study. Secondly, factor analyses were conducted using 38 measurement items to extract the body characteristics of obese women. Factor 1 was "circumference measurements & obesity judgment indices," Factor 2 was "heights & arm-related lengths," and Factor 3 was "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 width in upper body." These 8 factors explained 76.54% of the total variance. Finally, 5 body types were selected in the cluster analysis. Type 1 (with big back widths & arm circumferences) was 15.5% of the entire subjects, Type 2 (the shortest and fattest, with big upper body) was 18.8%, Type 3 (with big breast) was 27.8%, Type 4 (the tallest and longest in arm lengths, with the smallest arm circumferences and lengths in torso) was 22.5%, and Type 5 (with big hips compared to waist circumferences, smaller height and upper body) was 15.5%. Fundamental differences were identified in all measurements and items at the significant level of p=.001. In addition, each distribution of body type according to age, height, bust, and waist circumference groups was provided in this study.

• Journal of the Korean Society of Costume
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• v.63 no.1
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• pp.97-107
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• 2013

To give satisfaction with the fit to a wearer, the wearer's body size and body types should be considered first, this study conducted the descriptive statistical analysis on the upper body measurements of women in their 20s because their body shape has reached the completion stage of adult female's physical development. Also, the analysis classified their upper body types into groups to secure basic data for (maximum satisfaction with the fit of ready-to-wear clothing. The factor analysis was conducted using 49 items of measurement. The main factor analysis was used as a factor extraction method. After extracting the factors with Eigenevalues over 1, the factor loadings were drawn using the Varimax rotation. As a result, 6 factors were extracted. To secure internal consistency, factors that could lower the reliability of the experiment were taken out, so only 36 of the 49 items were used for the analysis. After selecting the items to recognize the main features of each body type, they were used for the final factor analysis. The entire R square of the 6 factors was 84.06%. To classify the upper body types of women in their 20s and to recognize the main features of each body shape type, the researcher conducted the cluster analysis with the items generated from the factor analysis. Through the cluster analysis, the upper body type of women in their 20s were classified into 3 body types. Also, since there are some restrictions on this research objects in terms of local and numbers of measured objects, the results of the this research should only be used as basic data.

• Journal of the Korean Home Economics Association
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• v.38 no.10
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• pp.45-51
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• 2000

This study illucidated the importance of drop Value in the resets of surveying the current values of sizing and grading. Therefore, it is meaningful to get the classification of body form with the appropriate distribution of drop values of the body. The distribution of drop value and the frequency of each form is very helpful to name the combined sizing or coverage of ready-made clothes. This study aimed at classifying body forms with various drop values using multivariate analysis for sizing and grading. Factor analysis and cluster analysis were done using measured values from unmarried women. The resets are as follows; The factor which explains body forms was obtained by factor analysis, and the representative major 18 items which have important roles in classifying body forms were selected among the measured values with high factor loading and communality. 1) The body forms were classified into 3 groups based on the characteristics, frequencies and distributions of them obtained from cluster analysis. 2) Each classified body form showed conspicuous difference in drop value and the difference of body form mainly resulted from the difference between bust and hip(drop value) in Korean unmarried women. 3) Discriminant analysis showed that the most significant discriminant factor of the trunk classification were bust circumference, upper bust circumference, hip circumference and stature. 4) The cover ratio of size studied in this study for the Korean Sizing system for women's garment were founded high.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.6
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• pp.864-875
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• 1999

This study was done to classify type os arms and to correspond these types with partial somatotype of upper body such as lateral views of upper body shapes of shoulder. The subjects of this study were female college students of twenties 58 anthropometric and photographic data were measured. The results were as follows : 1. Form the factor analysis arm girth/armscye size factor arm length factor the slope of lower arm, arm factor the curves of armscye the roundness of arm/shapes of shoulder the slope of upper arm factor were obtained. 2. By using factor scores 4 clusters of arm types were extracted. The characteristics of these clusters were projections of armscy slant of lower arm thick-set canelike. 3. Four types of arm were corresponded with the specified lateral views of upper body directions of shoulder slopes of shoulder.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.2
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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.