• Journal of the Korean Home Economics Association
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• v.38 no.3
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• pp.59-70
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• 2000

To compare physique classification by body consciousness and anthropometric index, 83 students were chosen from May to June 1998. Anthropometry including weight and height were measured and food frequency was examined by questionnaires. The results are as follows; 1) Average age of the subjects is 20.7, height 160.8cm and weight 51.4 kg. 2) All anthropometric indices and body fat percentage are highly correlated and all anthropometric indices show high and positive correlation with weight, but negative correlation with height. 3) The 55.4-75.9% of subjects were normal range by criteria of BMI and RI respectively, but the 40% of subjects were obese range by the self-consciousness of leanness/obesity. 4) The lean group was thinner in trunk and extremities, taller and lighter than the obese group. 5) When we investigated the groups classified by the body consciousness, the significant differences were found in the physical measurements related with feeling about self-obesity.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.4
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• pp.727-739
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• 1997

The purpose of this study was to classify and analyze the lower body of adult female and to provide it'stotal data for clothing construction. The subjects were 82 Korean adult females and their age range is from 19 to 24 years old. 42 variables (10 variables from the direct anthropometric data, 2 variables from the multiplication method and 30 variables from the indirect anthropometric data) in total were applies to analyze(means, standard deviations, factor analysis, cluster analysis) The result of factor analysis indicated that 10 factors were extract'cd through factor analysis and orthogonal rotation by the method of varimax and those factors comprise 82. 5 percent of total variance. The obesity of lower body was closely related to hip angle indicated the degree of drooping hip was extracted a independent factor, not influenced by other variance. And somatotype of lower body is classified by cluster analysis, using the FASTCLUS of SAS. To classify the lower body, two kinds of silhouette, front- back and side were applied to analize. The front- back silhouette was subdivided into five groups and the side silhouette four.

• Fashion & Textile Research Journal
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• v.18 no.1
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• pp.91-102
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• 2016

This study classified the lower body types of female adults aged 18 to 69. The lower body was divided into front, lateral front, and lateral back. In order to understand the shape and somatotype of each segment, 592 people were analyzed based on girth, height, length, depth, width, angle and cross section distance for each segment. For data analysis, SPSS 18.0 was performed for descriptive statics, principal component analysis, K-means cluster analysis, ANOVA, and Duncan's test (as verification). Factor analysis was performed based on index values, calculation values, angles, and cross section distances. The measured items resulted in a.) 16 items were extracted to 5 factors in the case of the front factor (FF) of the lower body, and b.) 24 items were extracted to 6 factors in the case of lateral front factor (LFF) and lateral back factor (LBF). Each factor was put through K-means cluster analysis, classifying the lower bodies into one of four types of based on the front type (FT), the lateral front type (LFT), and the lateral back type (LBT) respectively. This study proposed an understanding of various lower body shapes by segmenting and classifying the lower body shapes for each type.

• 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.

• Journal of International Academy of Physical Therapy Research
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• v.4 no.1
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• pp.539-544
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• 2013

Experts of medicine, philosophy and psychology found that human somatotypes were related to personality or physical characteristics and classified somatotypes into various forms. This study explored the changes and types of somatotyping methods from Before Christ to present day and identified the status of studies of somatotypes in the area of physical therapy. This study covered the methods applied in various majors with a focus on those provided in books and papers of Heath BH. and Carter JEL. Based on the results, there are officially twelve assessment methods. Currently, the method of Heath & Carter is most widely applied. Somatotypes are studied in many areas. It is actively explored in the area of pain physical therapy, thermotherapy and integumentary physical therapy. Also, the soft tissue physical therapy area seeks interdisciplinary studies. This study found that there were various assessment methods in diverse areas. It is likely that continuous studies will develop new assessment methods. It is hoped that in the area of physical therapy, somatotypes shall be applied more amply.

• Journal of the Korean Society of Costume
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• v.52 no.6
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• pp.51-69
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• 2002

The purpose of this study was to classify the body shapes. exclusive of size and corpulence factors of more than 60-year old elderly women by distinctions, and to investigate the visual effects of combination of ensemble suit details. For the body shape classification, the factor analysis and cluster analysis were performed : the mean value difference of numeral values for classified types were tested by ANOVA : and the follow-up test was conducted by the Duncan's multiple ranged test. The data analysis for visual effects evaluated by a multiple ranking test was analysed by mean. paired t-test, ANOVA and Duncan's multiple ranged test. The results are summarized as follows : 1. The followings are the types of body shape according to the shape factors of the front line of body for elderly women. The distinctions of the front li e of elderly women's body could be presumed; that was, Body typeⅠ was a comparatively well-balanced body type, Body type Ⅱ was close to an average body type. and Body type In was a severely corpulent body type. 2. The followings are the results on the physical visual effects inducing the constituents of clothing type. 1) The neckline·collar types of a jacket have a great influence on the visual effects of the upper body, and orderly. the tailored collar. soutien collar, and round neckline had positive influence on the visual effects in the upper body. 2) The pleat types of one-piece dress had positive influence on the visual effects in the lower body in the order of gored type, pleats type, and gathered type. Also. the balance in the lower body had more influence on the overall balance of the clothing compared to the constituents of clothing type such as neckline collar type or opening line. 3) It showed that whether there is the front opening line of a jacket influenced on the visual effects of all categories.

• Fashion & Textile Research Journal
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• v.20 no.2
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• pp.226-235
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• 2018

This study compares body types among the Korean, Northern Chinese and South Chinese women in their thirties. The subjects of this study are 30-39 year old females that consisted of 200 people from Southern China, 200 people from Northern China, and 202 people from Korea. The results are as follows. There are differences among Northern Chinese, Southern Chinese and Korean women. Korean women are taller than both regions of Chinese women, hip height measurement and waist height measurement of Korean women's are higher than Chinese women, it means that Korean women's lower body parts are longer than Chinese women. Northern Chinese women have the highest circumference measurements and depth measurements; however, Southern Chinese women have similar measurements with Korean women. The body type classification according to the GB/T 1335.2-2008 shows that Northern and Southern Chinese women have different body types. Southern Chinese women are mainly in "A body type" and Northern Chinese women are mainly in "B body type". The body type classification according to the KS K 0051 shows that Chinese women are all mainly "H body type", Korean women are mostly in "A body type". This study articulated specific differences in body types among Southern Chinese, Northern Chinese, and Korean women, especially between Northern and Southern Chinese women. This study provides basic data for Chinese female somatotype research and Korean fashion brands.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.2
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• pp.282-297
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• 1996

The effective construction for ready-made clothes is one of the central concerns of both consumers and manufactuers in today's apparel industry. In order to reduce the burden of stocks and increase clothing fitness, systematic information on typical body sizes and somatotypes is essential. The purpose of this study i-: to provide basic data on young women's somatotypes for form designers and pattern makers. The subjects of the survey were 310 women of 18 to 26 years old. The study collected 84 anthropometric data for each Person. The data was analyzed by using of the multivariate method. The factor analysis was utilized in regard to the 65 items obtained from anthropometric measurement respectively. The principal component analysis was applied to the data with orthogonal rotation after extraction. The factor scores used in the factor analysis became the basis of determining the value of each variable of the cluster analysis. The cluster analysis was applied for identifying typical somatotypes. Ward's minimum variance method was applied for the purpose of extracting distance metrix by the standardized Euclidean distance. The element forming each cluster can be subdivided into several sets by crosstabulation which is obtained by the fastclus of the SAS. This research has demonstrated 3 distinctive types of silhouette contour of the trunk. Incidentally it also identified 4 of the lower body from the waistline to thigh contour respectively. The discriminant analysis showed that the most significant discriminant factor of the trunk classification were side neck point -1 scapular -1 waistiline length and waist girth. In Korea, the average somatotype of female college students tends to be tall, slim and straight. Reviewing the relationship between the classifications of three parts of body, they are related to each other to some extent but their distribution are not constant. Therefore, in view of clothing construction, a proper separation of the body surface is a necessity.

• The Research Journal of the Costume Culture
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• v.6 no.3
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• pp.201-216
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• 1998

This study is aimed at exploring a reasonable and reliable method of measuring pre-school children's somatotypes and there by, data basing the information obtained and classifying their somatotypes, at providing useful data which can be utilized for the design of their dress forms and enhancing the fitness of their apparels. to this end, 330 pre-school children living in the capital area and aged fro m4 to 6 were sampled to be subject to the measurement of their somatotypes. The results of this study can be summarized as follows; 1. As the pre-school children grow, the scales indicating their vertical growth including height could well be measured differently, but those scales indicating their lateral somatotypes which reflect their postural changes did not show among age groups. in other words, male kids were higher in the scales including height than female kids, while there were not differences between sexes in most scales indicating their lateral somatotypes. 2. The elements comprising the somatotypes were the size of body skeleton, the thickness of body mass, the posture and shape of body mass, the lateral under-neck shape, the extrusion of belly, the length between front and the back shoulder, the shape of lower belly, the shape of upper hip, the shape of lower hip and the slope of shoulders. Among them, the first two elements accounted for 64.8% of the total distribution, which means that these two elements explain the body-mass somatotypes of kid's most effectively. 3. The sample kids were divided into two types for classification of their somatotypes. As a result, it was found that the elements determining their somatotypes most influentially are, unlike adults' case the size of body skeleton rather than posture or lateral body shape. The type I showed less dimensions in most scales than type II, while their shoulder were les developed,. The type I was found distributed much in 4-year-old female kids. The type II showing more development in each element was found distributed much in 6-year-old male kids.

• Journal of Fashion Business
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• v.13 no.4
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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.