This study sought to typify and characterize the upper body shape of women with large breasts by classifying only Korean adult women aged 20-69 years whose difference dimension between bust and underbust circumference was 12.5 cm or greater. This study attempted to provide necessary information for the development of upper body clothing for women with large busts. Upper body horizontal, upper body height, shoulder size, upper body length, and shoulder slop factor were extracted to constitute upper body shapes of women with large busts. Upper body shapes of women with large busts were classified into four types: low obese upper body tall body type, high normal upper body short body type, drooping shoulders slender upper body tall body type, and broad shoulders slender upper body short body type. Upper body proportions of women with and without large busts were analyzed as follows. Women with large breasts had narrower shoulder width compared to bust width and waist width. Their underbust and waist circumferences were larger than their bust circumferences. For the development of tops for women with large busts, bodice pattern development was required, taking into account shoulder width, chest, and upper body length. Future studies should focus on angles of busts in more detail. Research should be conducted on the development of bodice by upper body type of women with large busts analyzed.
This study was attempted to observe the possibility of body fat distribution and fasting serum insulin as potential predictive factors for obesity and energy intake. Subjects participated in this study were seventeen pairs of upper body type women and lower body type women whose age weight BMI daily energy expenditure per body weight were equally matched, Waist to hip girth ratio(WHR) was measured as a criteria of body fat distribution. Comparison of eating behavior between upper body type and lower body type women did not show any significant differences in meal size meal duration and energy intake per minute While serum free fatty acid level was lower in upper body type women percentage of body fat and fasting serum insulin triglycerde level of upper body type women were statistically higher than those of lower body type women(p<0.05) Our data may indicate the possibility that sympathetic nervous system activity was suppressed in upper body type women which needs ti be examined in future studies. In addition since the upper body type women were dieting over the period of survey with the intention of weigh loss we can conclude that upper body type women had larger variabilities than lower body type women in terms of daily energy intake level.
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.
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%.
This study is intended to find changing of upper body shape according to the increase of age of elderly women, to extract the factors which form the upper body shapes and to classify the upper body shapes and grasp the characteristics of each body type. The subject were 225 elderly women aged 55-79 years old. Data were analyzed by the multivariate method, especially factor and cluster analysis. The results are as follows: 1. The items of stature, weight and width and circumference of upper body decreased according to the increase of age. And, in the length items except the side neck point - the nipple point length decreased significantly. There were significant difference of upper body shape between age groups according to each group. 2. The shape of elderly women's upper body is determined the main 6 factors(the obesity of upper body, the shape of shoulder, the length of back side of upper body, the length of front side of upper body and the size of vertical direction between stature and arm and front neck width). 3. Elderly women have 4 types of upper body shapes, which are distributed evenly. The body type of Elderly woman changes from long and fat type to small and slim, type according to the increase of age.
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.
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.
This study was intended to figure out the interrelationship among body fat distribution serum insulin and lipids levels. One hundred forty four adult female from Chinju area were participated in this study. The survey was conducted between December 17, 1990-February 27, 1991, . The results are as follows : Wiast/hip girth ratio(WHR) and waist/thigh girth ratio(WTR) were increased with age and positively correlated with body mass index(BMI). It appeared that the prevalence of obesity in terms of BMI was higher in upper body type than intermediate or lower body type women. Correlation analyese indicated that serum triglyceride level seemed to be more closely associated with BMI and other body fat distribution indices. Analyses of the anthropometric data serum lipids and insulin were carried out by dividing the sample into three body type groups-upper body type women(WHR$\geq$0, .87) intermediate body type women(0.82$\leq$WHR$\leq$0.86) and low body type women(WHR$\leq$0.81) Age weight BMI RBW percentage of body fat serum insulin triglyceride cholesterol level of upper body type women were significnatly higher than that of intermediate or lower body type women(p<0.05) HDL-cholesterol was significantly lower in upper body type women. These results suggested that body fat distribution would be relevant to chronic metabolic diseases.
The purpose of this study is to collect data for he improvement of the accuracy of upper garments construction of the old whose bodies have been changed due to their age. In this study the body measurements with 61 items were taken from 226 men(aged fro m 60 to 80) living in Seoul by the R. Martin's method in 1992. The data were calculate by computer and analyzed by the multivariate method, especially factor and cluster analysis. The results of the study were as follows; 1. The average stature of elderly males was 163.6cm, chest circumference 91.6cm, waist circumference 9\\85.5cm. hip circumference 92.8cm, neck circumference 37cm, arm length 55.4 cm, back length 42.6cm, shoulder breadth 42.9cm and the Roher's Index 1.39, which was a standard body shape. 2. The items of factor analysis were explained to seven, namely, the degree of fatness of the upper body, the size of the frame of body, the length of the upper body, the degree of curve of the front body, the size of shoulder, the shape of the back, and the slope of shoulder. 3. The body types of subjects were classified into four types. The majority was type 4, which was 67% of subjects and considered as balanced body type. The distinctive features of those types are as follows; Type 1. The subjects of this type had a slight skeletal structure and were the thinnest of all the subjects with thin and forward-bent arm. Type 2. The subjects of this type were the tallest of all the subjects. they had the straightest side of body and a well-developed upper arm. The thigh length of this type was longer than the length of trunk. Type. 3. The subjects of this type was only one, so ti could be excluded. Type 4. The subjects of this type had a long trunk, well-developed shoulder, and a crook in their neck and back. The arm length and thigh of this type were short and those circumferences were thick. Type 5. The subjects of this type were the shortest of all, but had the highest degree of fatness in the waist and abdominal. They had well-developed front muscles of body and projected hip.
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%.
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