• 복식문화연구
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• 제26권1호
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• pp.95-108
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• 2018

This study analyzed the body shape of the body of 17~19 years old female students using the SPSS 20.0 statistical program according to the 7th Korea Human Body Survey. Factor analysis was based on six factors including body size, body height, shoulder length, and width, upper body length, hip length, and shoulder inclination related factors. Through this cluster analysis, the body shape of late adolescent female student was classified into four types. Body type 1 was the highest body height factor, and the upper body length and the hip length factor were lower. It was analyzed as 'Long leg in the body'. Body type 2 is the 'narrow shoulder skinny type' with high hip and shoulder slope factors and low body size, body height, shoulder length, and width factor. Body type 3 showed body size, shoulder length, height and hip length factor, and body height factor was rather low 'low hip obese body shape'. Body type 4 was analyzed as 'lower shoulder long upper body type' with higher upper body length factor and lower body size and shoulder slope factor. It is thought that when the pattern is made, it is possible to produce excellent patterns by fitting the dimensions of the body, as well as the dimensions of the shoulder width, the slope, and the hip length.

• 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.

• 대한인간공학회지
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• 제28권1호
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• pp.21-27
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• 2009

The purpose of this research is to understand the physiological characteristics of muscular men between the ages of 20 and 34 years who are distinct from the general population due to their muscular development, and to categorize them according to upper body somatotypes. This research was conducted in order to provide basic data necessary for developing clothing products for muscular men. The research method and results were as follows: 1. The study carried out factor analysis with the body measuring value of 168 muscular men according to the body classification method of Sheldon and Heath-Carter. The study materialized muscular men's lower body types statistically by carrying out cluster analysis, regarding scores of each factor extracted from the factor analysis as an independent variable. The study also carried out discriminant analysis with the results of cluster analysis classified so that morphological characters of each type were remarkably distinguished. 2. As the results of factor analysis, the study set up number of factors as three. Factor 1 occupied 38.149% of the total variables as a size factor of the lower body. Factor 2 occupied 20.417% of the total variables as a height and length factor of the lower body. Factor 3 occupied 8.466% of the total variables as a length factor of the hip. 3. The study classified the lower body type into three types and the characteristics by each type were as follows. Type 1 was a group with the best developed muscle in the lower of the body, considering that a size of their lower bodies was the largest. Type 2 was well-balanced muscular males though a size of the lower body was smaller than other types. This type didn't have fatness of the abdomen and large hips. Type 3 was a body type that the length from the waist to the hip was long. 4. As the results of carrying out discriminant analysis to distinguish muscular men's lower body types, the discriminant accuracy was 86.3% over all in the lower bodies.

• 한국의류학회지
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• 제27권7호
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• pp.831-842
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• 2003

The purpose of this study is to analyze body types of Chinese women and provide concrete information on it by classifying them into several representative groups. As for the method of this study, statistical analysis is made of 79 items. This is done from July 18 to Aug 07, 2002, 525 female subjects from age 20 to 49 participated in this study. They all live in Beijing and Shanghai in China. The results of this study are as follows. 1. Means, standard deviations, the maximum and minimum of 19 items are extracted. The height and girth item have a high standard deviations. 2. 8 factors are extracted by using factor analysis. Factor 1: body obesity, Factor 2: vertical body size, Factor 3: upper body length Factor 4: size of ankles, Factor 5: angle of shoulders, Factor 6: length of hip Factor 7: size of shoulder, Factor 8: shape of chest 3. The body types of Chinese women are classified into 5 sub groups from the result of the Cluster analysis.

• 한국의류학회지
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• 제32권4호
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• pp.618-629
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• 2008

The objectives of this study were to classify body types of 40s, 50s, 60s obese women according to body measurements and to investigate relationships between age and body types of obese women. Body measurement was made on 497 obese women in their 40s, 50s, 60s whose BMI (Body Mass Index) was 25.0 or more when directly measured in 'Size Korea 2004'. Data were analyzed through factor analysis, cluster analysis, Pearson's correlation coefficient, $X^2$-test, t-test, one-way analysis of variance, and Duncan's multiple range test. First. the obesity group with BMI being 25.0-30.0 was composed of 23.1% subjects in their 40s, 43.3% subjects in their 50s, and 50.0% subjects in their 60th, which demonstrates that the older subjects were, the higher the distribution was. Adding the high obesity group with BMI being more than 30.0 to the obesity group, women in their 60s were 56.7%, the most of obese bodies. Second, factor analysis of obese women's BMIs revealed that five factors were elicited, including upper-body circumference related factor, height related factor, lower-body circumference related factor, upper-body width related factor, and upper-body related factor. As a result of analyzing the clusters, three types of body shapes were classified including upper-lower obesity, upper obesity, and lower obesity. Third, obese women were thicker or wider than non-obese individuals in those factors including upper-body circumference, lower-body circumference, and body width, and longer in upper-body length, while non-obese individuals were higher or longer than obese individuals in height related factors.

• 한국의상디자인학회지
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• 제9권1호
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• pp.161-171
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• 2007

The purpose of this study was to classify the lower body of the lost women and to investigate the three-dimensional characteristics of each lower body somatotype of them. The subject were ninety seven women whose. age were twenties and whose height and bust girth were in the range of mean$\pm1\delta$ of typical body size of twenties' Korean women. The forty one variables of their lower body were measured by Martin's Anthropometric Instrument. And they were analyzed for mean, standard deviations factor analysis, and cluster analysis. In the second phase of analysis, the three participants were re-selected in each type were measured by Sliding Guage and analyzed their lower body somatotype. The results were as follows; The components of lower body of 20s' women were extracted with 7 factors through factor analysis and orthogonal rotation by the method of Varimax. The rate of the cumulative contribution was 84.1% the first factor was the thickness of lower body, the second factor was the vertical size of lower body the third factor was the front shape of hip, the forth factor was the vertical size of hip, the fifth factor was the shape of abdomen, the six factor was the flat-ratio of waist and the seventh factor was flat-ratio of hip. The somatotype of 20's women's lower body can be classified into 3 types. Type 1 is the standard somatotype of 20's women's lower body and the 34.0% of the participants in the study was categorized into type 1. Type 2 is a short and corpulency type with protruded abdomen and hip and the 29.9% of the participants in the study was categorized into type 2. And the type 3 is a tall and thin type with plat abdomen and hip and the 37.1% of the participants was categorized into type 3.

• 복식
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• 제58권2호
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• pp.162-180
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• 2008

The purpose of this study is to find the basic design factors that affect the changes in body surface lines caused by lower limb movements, thereby resulting in slacks that fit well regardless of whether the human form is static or in motion. Using unmarried female university students aged 18-24 as subjects, a total of 32 body surface lines (15 body surface total lines and 17 body surface segment lines) were measured in one static and 9 movement poses, The analysis first involved the calculation of the expansion and contraction rates per body part in body surface line in 9 lower limb movements, Second, a factor analysis was conducted using the expansion and contraction rates of these changes in body surface line. The results of this study are as follows, According to the factor analysis, basic design factors that affect changes in body surface lines comprised 8 types of factors as illustrated in fig, 2-fig, 9, which explained 79.2% of total variate for the variables studied, Factor 1, comprising the lower segment of center back leg line, center front leg line and inner leg line, and lower limb girth except midway thigh girth and ankle girth below hip girth, accounted for 30.3% of total variance, Factor 2, comprising waist girth, the total and upper segment of center back leg line and center tront leg line, and front and back segment of crotch length, explained 17.4% of total variance, Factor 3, the total and upper segment of lateral leg line at the center, accounted for 56.5% of total variance in accordance with Factors 1, 2, and 3, Factor 4 was the contracting upper part of lower leg between legscye girth and midway thigh girth, Factor 5 comprised the total and upper segment of inner leg line and posterior knee girth, Factor 6 was the total crotch length, Factor 7 was the ankle girth, Factor 8 was the abdomen girth.

• 한국의류산업학회지
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• 제19권6호
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• pp.749-758
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• 2017

The purpose of the present study is to develop a grading deviation, which is appropriate for the body type of women in thirties, by analyzing the three-dimensional body type. The materials for the study were adopted from the body measurement data of women in the age group of 30 to 39 years old, provided from Size Korea. By reflecting the factor analysis results using the three-dimensional shape measurement, deviations were derived. First, six factors influencing the changes in human body shape were derived as waist-hip length factor, bust-waist shape factor, back protrusion back shoulder factor, bust length factor, shoulder length factor, and frontal waist dart factor. The bust size and height, which can be easily utilized for the top original grading, were used for deriving a regression formula, and the deviation was set in accordance with the result. Second, by applying the deviation which reflects the changes in the body shape, the crimps which were generated due to the application of existing deviation were remarkably reduced, indicating that the grading of the present study is more fitting than the existing one. The deviation derived by the analysis of actual increase and decrease of body size was more fitting than the existing one. This was proved by actual wearing experiment, which represents the significance of this study.

• 한국의상디자인학회지
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• 제25권4호
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• pp.1-11
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• 2023

The purpose of this study was to characterize the upper body shape of men in their 50s and 60s by analyzing direct measurement data. Sixty one direct measurement items were analyzed. Subjects (n = 752) were classified based on 5 factors into 4 body types. In order to acquire accurate upper body shape information by analyzing body type using the 8th Size Korea direct measurement data, body shapes were classified through factor and cluster analysis. As a result of the comparative analysis of the upper body measurements from the 5th to the 8th Size Korea measurement, it was found that waist circumference item tended to increase significantly from the 5th Size Korea measurements. The upper body type of middle aged males were classified using five factors: the trunk obesity factor, the trunk vertical factor, the width of the back shoulder, the vertical factor behind the back, and the length factor of the upper body. Middle-aged men were classified into four body types through cluster analysis. Type 1 is relatively short with big arms, Type 2 has wide shoulders and thin arms, and in Type 3, the upper body is relatively long. Type 4 is the most obese upper body.

• 한국의류학회지
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• 제33권8호
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• pp.1262-1272
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• 2009

The study is classifies the figures of obese women aged 20-50 with an over 25 BMI from the data of the fifth Size Korea in 2005. As the result of conducting the factor analysis for segmenting the shape, Factor 1, Factor 2, Factor 3, and Factor 4 are respectively derived as the factor on a volume, the factor on the size of the vertical direction, the factor on the shoulder region, and the factor on the body length balance. As the result of conducting the cluster analysis using 4 factors (scores extracted from the analysis of factor analysis) the body type of obese women was classified into four types. The name of shape was specified by combining 'P' (an abbreviation of petite) that indicated the height (smaller than 155cm) among the height names of KS standard, 'R' (abbreviation of regular) that indicated the height (155cm-165cm) and the body characteristics. Type 1 had the longest length, and normal circumference, thickness, and width but with the developed shoulder. Type 1 was classified as a robust, 'Plus-RH'. Type 2 had the middle height, the shortest length of the upper part, a relatively-long length of the lower part of body. Type 2 shows the characteristics of a small body that was classified as 'Plus-PI'. The most obese body was Type 3 that had the normal length and shoulder size but showed the longest length of the upper part of the body; it was classified as 'Plus-PO'. Type 4 as the small shape had a potbelly and showed the characteristics of the shortest body classified as 'Plus-Pb'.