• 한국의류산업학회지
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• 제15권1호
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• pp.130-137
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• 2013

The percentage of overweight people has increased in older people due to the change of body shape (including pregnancy and giving birth for women). Obesity is accompanied by body shape changes; subsequently, there are more pattern design considerations compared to standard body shapes. This paper classifies the upper body shape of overweight women in Korea, analyzes features by body shape and proposes basic pattern design data that reflects the features of plus-size women body shapes. The data on 540 subjects in the overweight group (from 20 to 69 years old)whose BMI was over 25 was selected. The following features by shape were identified in accordance with the upper body shape classification of overweight women. Body Shape1 had lower body obesity with long stature and arms in proportion to the trunk length and represented 22.2% of the subjects. Body Shape2 had most parts near average sizes for overweight body shapes with short height and arms that represented 37.6% of the subjects (the highest ratio). Body Shape3 was the smallest body shape in the four groups with the most distinct body figure and represented 30.7% of the subjects. Body Shape4 (9.4% of the subjects)was the upper body obesity type (the fattest group)and with of the waist bigger abdominal obesity type.

• 한국의류학회지
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• 제24권3호
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• pp.301-312
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• 2000

This study conducted an analysis of the middle aged women whose ages are from 35 to 59 years old in order to give those ladies much external satisfaction and covered body lines. I have come to present a few characters of body types as silhouettes which resulted in the factors of the upper bodies of middle aged women. I have adopted SAS(statistical analysis system) as a data process method of this survey. The followings are the results analysis. 1. The item of height have decreased, but increased in the items of thickness among the late middle aged women. 2. The body componant factor of middle aged women are extracted as 10 items, and the rate of their cumulative contribution is 78.9%. The first is the thickness of upper body, the second is the thickness of side upper body, the third is the height of upper body, the fourth is the length of upper body the fifth is width of upper body, the sixth is the projected rate of back, the seventh is the projected rate of breast, the eighth is the squared rate of shoulder, the ninth is the crooked rate of neck, and the tenth is the upper from of breast. 3. The body types of middle aged women can be classified into 4 types, and the followings are their characters. Type 1 is a standard type as the most common body character of the middle aged women, showing the appearing rate of 42.4%. Type 2 is a semi-curved body type like the curved figure of side body, showing the appearing rate of 34.5%. Type 3 is a reverse body type with the projected breast feature of front body, showing the appearing rate of 20.9%. Type 4 is a crooked body type with a tall height and crooked neck, showing the appearing rate of 2.2%.

• 한국의류학회지
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• 제32권5호
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• pp.846-858
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• 2008

This study was designed to propose a method to draft bodice block pattern from 3D body scan data. Subjects were ten elderly women in their 60's, who wear basic size(B: 94cm, W: 82cm) garment. Scanning was done using 3D whole body scanner(WB4, Cyberware). Measurements for 3D data and cross section were attained using Auto CAD, by which a upper bodice pattern for elderly women was drawn on the basis of short measured method. The results are as following: As for most items, no significant differences were shown between measurements from Martin's anthropometry and those from 3D scan data, suggesting measurement from 3D scan data could be used to draft a pattern. The drafting equations acquired were as follows; width of pattern=B/2+5.5, width of waist=W/2+3.5cm, dart amount=8cm. Dart distributions were 23%(B.P.) : 20%(front armpit) : 17%(side seam) : 18%(back armpit) : 15%(back protruded point) : 7% (center back line). Through wearing test using 5-point Likert scale, resultant pattern was evaluated as appropriate for elderly women's pattern to get over 4 point. As a result, it might be said that 3D scanning application is effective for elderly women in that it doesn't take time so much as Martin's anthropometry and that their body shape vary compared with those of young women.

• 한국의류학회지
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• 제28권7호
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• pp.983-994
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• 2004

The aim of this study is to provide fundamental data on the development of ready-to-wear clothes appropriate for the body types of elderly women. The study was conducted targeting 318 elderly women over 60 years of age whose fields of action were colleges for the elderly, sports centers, or business sites in Seoul and the neighboring districts. A total of 44 features in the upper body were used for the anthropometric measurement and analysis using anthropometry and photometry. The results of the study are as follows: 1. Somatotypes were classified into three types according to a cluster analysis using height and weight indices. Type 1 is the group with long and undersized upper body and straight body type since the face of the upper body is long relative to height and width, girth and depth are the smallest relative to weight, the breasts are somewhat fat, with a small extent of drooping and a straight back. Type 2 is the group that is considered fat relative to the body, has broad shoulders, drooping breasts with a wide space between them, and a back-bent upper body. Type 3 is the group that has a bent shape, the shortest upper body relative to height, and showing average obesity factors. 2. Indices of height and weight were used for factor analysis, cluster analysis, and discriminant analysis in order to classify upper body somatotype according to shape while excluding size factors of elderly women＇s upper body somatotype. The same method was used to compare and verify the result according to the absolute measurement and height index. Classification based on height and weight indices demonstrate that such somatotype classification minimizes the personal equation of body shape and it induces better classification based on shape as the results showed the highest cumulative sum of square(CUSUM) at 78.38% while six factors showed the smallest result and the hit rate for the classified three groups showed the highest result at 95.30%.

• 한국의상디자인학회지
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• 제24권3호
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• pp.49-61
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• 2022

This study aims to provide upper body shape information by analyzing the measurement data of middle-aged women aged 50-69, including baby boomers, whose economic power and activity have improved compared to the previous generations. In order to provide accurate upper body shape information by analyzing the body type using the 8th Size Korea measurement data, body shapes were classified through factor and cluster analysis using 75 direct measurement items. Upper body type was classified according to the factors, and the associated characteristics were analyzed. As a result of the comparative analysis of the upper body measurements from the 4th to the 8th Size Korea measurement, it was found that in the height item, both the waist height and the hip height increased, making the overall height greater and the leg length longer. The body circumference items tended to increase, but were found to decrease significantly in the 8th Size Korea (2021) measurement. Middle-aged women were classified using five factors. Factor 1 was the upper body obesity factor, and Factor 2 was the trunk vertical factor. Factor 3 was the width of the back shoulder, Factor 4 was the vertical factor behind the back, and Factor 5 was the length factor of the front garment composition. Middle-aged women were classified into four body types through cluster analysis. Type 1 is relatively small and skinny, Type 2 has the most obese upper body and developed back shoulders, and Type 3 is skinny and has a long back and short front. In Type 4, the upper body was relatively long and the shoulders were narrow.

• 복식문화연구
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• 제32권3호
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• pp.364-380
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• 2024

This study aimed to identify changes in upper body measurements and body shape types among women over a 10-year period based on data from the 6th and 8th Size Korea Anthropometric Surveys. The study used regression analysis to explore the relationship between various dimensions, enabling the prediction of different upper body dimensions based on height and waist circumference. The sample consisted of 1,179 women in their 20s who participated in the 6th (2010) and 8th (2020) Size Korea Anthropometric Surveys, with 33 items analyzed. Initially, most items, except those related to height, exhibited larger values in the 8th Survey than in the 6th, suggesting a general increase in the upper body dimensions of females in their 20s over the 10-year period. Subsequent factor analysis revealed three factors crucial for determining the upper body shape of women in this age group. The body shapes were then categorized into four distinct clusters. Regression analysis indicated that both waist circumference and height significantly influence most of the measured items, with waist circumference having a more substantial impact in most models. Through this research, we aim to provide foundational data that reflects the evolving upper body shapes of women in their 20s to enhance clothing production and improve the sizing system.

• 복식
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• 제56권2호
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• pp.101-111
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• 2006

The purpose of this research is to define body shapes of Plus-sized women at ages between 21 and 69 whose satisfied the Plus-sized judgment criteria took part in this study. This research also classifies different body types, and provides basic data for designing prototypes according to each body type. Based on factor analysis of the measured data, nine key factors are grouped. And four different body types are classified based on the cluster analysis using factor marks. Type 1 refers to those who are tall and characterized by 'Y' body shape when looked from the front. Looking from the side, this type is comparatively balanced obese type which has flat breast and abdomen, and which has a jutting back and buttocks. Type 2 refers to those who are the shortest of all the obese with 'X' front. This type is Sway-back shape which has jutting back and abdomen but flat buttocks when looked from the side. Type 3 is characterized by 'H' body shape when looked from the front. This type is Pway-back shape which has flat back, abdomen and buttocks when looked from the side. The prominent breast part of this type is the most outstanding figure. Type 4 is characterized by 'X' when looked from the front. This type has a jutting waist and prominent buttocks when looked from the side.

• 복식
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• 제63권1호
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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.

• 한국의류학회지
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• 제32권3호
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• pp.349-361
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• 2008

The purpose of this study was to develop bodice basic patterns fitted on different body types of adult women. To meet this purpose, first, human bodies were measured using tight fitting technique and classified based on the shapes of upper trunk. The subjects were 214 women $20{\sim}39$ years of age. For the measurement of female upper trunk, tight fitting technique was utilized. The development of figures of upper trunks were obtained from women. These development of figures were then digitized and analysed using the PAD system. A total of 155 measurements were taken from each of the development of figures. then, 32 measurements were selected for the further analysis. As complimentary data, 22 direct body measurements using an anthropometric method and 23 body measurements using a photographic method from the side view pictures of the participants were also obtained. The results and discussions of this study are as follows: Using the body measurements from the development of figures, a factor analysis and a cluster analysis were conducted. As a result, the body types were classified into 5 different types, which differ in terms of bust volumes, shoulder slopes, shoulder tilts, back silhouettes, body axises. The prominent characteristics of each type are as follows: The first type has a large bust volume. The second type has a right figure. The third type has a rounded back silhouette. The fourth type has a back silhouette of scapular coming backward. Finally the fifth type has a shoulder tilted forward.

• 패션비즈니스
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• 제8권5호
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• pp.1-19
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• 2004

With a view to providing the basic data of clothing manufacturing for Chinese women in their 20s residing in Ningbo City, Zhejiangsheng, China, this study analyzes their upper-body types. With the subjects of 192 female adults(age 20 to 29), the following conclusions were made: 1. According to the Chinese standard classification, all body types except C were seen: A(58.33%), Y(40.63%), and B(1.04%). 2. According to the Korean standard classification, body types appeared in the order of H(68.75%), N(29.17%), and A(2.08%). 3. $R\ddot{o}hrer$ index was 1.23 belonging to the ordinary somatotype. The distribution was ordinary(60.42%), slim(38.54%), and fat(1.04%). 4. The subjects were 158.62cm(height), 83.54cm(bust), 65.77cm(waist), and 87.50cm(hip). 5. No significant differences were noticed in all the items except waist breadth around age 24. 6. Compared with Korean counterparts, Chinese females were a little shorter, had bigger bust, similar waist, and smaller and flatter hips. 7. Seen in the side somatotype classification, a standard body type was revealed with $24.50^{\circ}$ of a slightly-leaning shoulder gradient. 8. Seven factors were produced in the present analysis, and five body types in the group analysis turned out to be standard.