• International Journal of Human Ecology
• /
• 제15권2호
• /
• pp.13-21
• /
• 2014

This study investigated the anthropometric characteristics of US women 26 to 45 years of age to classify their body shapes into different categories. Research data was obtained from 2950 women 26 to 45 years of age who participated in the SizeUSA study. A 26 to 35 years of age group and a 36 to 45 years of age group were selected from the data pool. A total of 26 measurements important for body shape classification and for apparel product development was used for the data analysis. Five factors accounted for the US women's body measurements. The body shapes of women were categorized into 4 types: Obese A-Shape, Overweight Y-Shape, Obese H-Shape, and Normal S-Shape. Normal S-Shape was the most common body shape type. More women in the 26 to 35 years of age group had Normal S-Shape type than women in the 36 to 45 years of age group. More women in the 36 to 45 years of age group had Obese A-Shape, Overweight Y-Shape, and Obese H-Shape than women in the 26 to 35 years of age group. Younger US women, 26 to 35 years of age had slimmer body sizes with more balanced body shapes; however, older US women, 36 to 45 years of age had larger body sizes with more various body shapes.

• 한국컴퓨터정보학회논문지
• /
• 제24권4호
• /
• pp.129-136
• /
• 2019

The purpose of this study was to provide basic data necessary for the development of clothing that can improve the satisfaction of body shape of elderly men by examining subjective characteristics and characteristics of perception type of older men's body shape. Using the Q methodology, I investigated and analyzed the process of formation and main characteristics of subjectivity of various types of recognition that elderly men express about their body shape. There were four types of perception of body shape in elderly men: flat hip and bird legs skinny body, back bent and abdominal obese body, thick neck and upper body development body, forward cervical neck and protruding abdomen obese body. The actual body shape of elderly men was classified according to the bust, waist circumference, hip circumference, and body part angle. But recognition body shape of elderly men was classified by visual factors like the abdomen, the angle of the neck, the inclination of the back, the slope of the waist, and the degree of obesity. It is necessary to consider the trend of silver fashion which is increasing in demand. In addition, it is necessary to develop clothing patterns of comfortable fit through ergonomic study on the physical characteristics of older men. Consideration should be given to the design and pattern that can reduce the difference between the ideal body shape and the body shape recognized by older men.

• 한국가정과학회지
• /
• 제1권2호
• /
• pp.113-118
• /
• 1998

Clothing shape is principally described in seven factors that are composed of clothing design, clothing material, clothing size, pattern design, sewing method and body motion etc.. The aims of this study was to measurement out-line space-shape variation of clothing fitness with somato type by using the image processing. The subjects for direct anthropometric measurements were 248 female college students aged from 19 to 22. The data were statistically analyzed by principal analysis and cluster analysis. The results were obtained three somato type. Also I made skirts in order to analyzed to the out-line space-shape variation of clothing fitness with body. The effect of somato type on the shape of flare skirts was determined by the out-line space-shape variation of clothing fitness with body. The out-line space-shape variation of clothing fitness with body was observed between the node number and amplitudes of clothing wave form and node number was determined at the maxim of space-shape amplitude, and the space-shape amplitudes have related with aspect ratio of cross-sectional shape. Results for flare skirts show changes in amplitude and mean with fabrics, somato type. therefore gray-level histogram are correlated with changes out-line space-shape, differences in drape spacing and related fabric properties and their somato type. (Korean J Human Ecology 1(2):113∼110 1998)

• 대한가정학회지
• /
• 제34권3호
• /
• pp.219-232
• /
• 1996

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.

• 한국의상디자인학회지
• /
• 제25권4호
• /
• pp.147-161
• /
• 2023

This study used 3D anthropometric data from the 8th Size Korea to type and analyze whole body shapes of obese women in their 20s and 30s, and constructed dimensional data for human body items needed to create a 3D human body model for each type. The data analysis used data from 148 obese women in their 20s and 30s, and a total of 48 index values, drop values, and angle items were subjected to factor analysis and one-way variance analysis to categorize body types and verify significant differences by type. As a result of the factor analysis, 12 factors were extracted and divided into 4 body types. Type 1 is a 'standard type with a curved torso with balanced upper and lower body lengths', Type 2 is a 'bending forward type with a short, thick lower body, and an uncurved torso', Type 3 is a 'lean back type with a long and thin lower body and an H-shape torso', Type 4 is a 'sway back type with a long and thick lower body and abdominal obesity'. The representative body type of obese women in their 20s and 30s was identified as Type 1. The constructed body shape information will be used as basic data for future 3D human body modeling.

• 복식문화연구
• /
• 제28권5호
• /
• pp.639-651
• /
• 2020

This study utilized data to classify and characterize the body types of plus-size adult men aged in their 30s and 40s. Diversity is an important factor in the era of inclusive design, and discussion about size diversity to include the plus size should be accommodated. Data from 493 adult men classified as obese (with a World Health Organization criterion ≥25 BMI) were used for the analysis. The results of the study are as follows. Six independent factors were extracted using factor analysis for cluster analysis, which were then classified into five types. Type 1 (29.01%) was identified as body type I with the smallest degree of obesity. Type 2 (15.4%) was identified as body type Y with wide shoulders and a thin waist. Type 3 (14.2%) was the largest body volume (body type O), while the fourth (19.27%) identified as body type H has a large height and upper body. Lastly, type 5 (22.11%) has a long lower body and a slim abdomen, referred to as body type X. This study presents a basis for the development of various clothing sizes utilizing the body shape characteristics of plus-size men in their 30s and 40s. Follow-up research is needed to develop patterns for plus size men and to design various products.

• 여성건강간호학회지
• /
• 제3권2호
• /
• pp.192-207
• /
• 1997

This study aims at examining relationships between perceived body shape, body image and health complaints among 88 women registered at a facility for managing body shape, which leads to adequate management of obesity in women for healthy lives. The survey was conducted by using a questionnaire consisted of 12 items of general characteristics and interests for weight control, 47 items of body image, and 57 items of Cornell Medical Index(CMI). The data were analyzed by using mean standard deviation, ANOVA, and Pearson correlation coefficient. The results are following. 1. The means of age, body weight, height of the women were 27.02 years, 56.02 years, 56.03kg, 161.71cm, respectively. The level of obesity by body shape was 47.7% for standard type, 26.2% for slim type, 26.1% for fat type. Those women graduated from high school or higher education institutions were 97.7%. 2. More than 70% of the subjects perceived their weight as overweight, while 26.1% of the women were fat according to the level of obesity. Ninety percent of the subjects were not satisfied with their body shape. 3. Body weight increased most during middle and high school days. The women became interested in weight control through talks with friends(35.2%), influence of mass communication(34.1%), and social custom(22.7%). As to the method of weight control, subject's own judgement(54.5%) revealed highest percentage, whereas only 20% of the subjects adopted prescriptions of experts for weight control or of doctors. Those who had side reactions from weight control were 30.7%. High percentages of the women reported the decrease the amount of eating(54.5%), the increase the amount of exercise(27.3%) as the effective methods of weight control. 4. The score of body image differed significantly by the perceived body shape : the score was highest in the perceived standard type. 5. The level of health complaints did not differ by the perceived body shape. In relation to the level of obesity, physical health complaints were high in the groups of very slim type and of very fat type, while mental health complaints were high in the groups of very slim type and of fat type. 6. Very high correlations were observed between the perceived body shape and body image and between physical health complaints and mental health complaints.

• 복식문화연구
• /
• 제17권6호
• /
• pp.1099-1111
• /
• 2009

The purpose of this study is to classify body shapes of aged women by using 3D body scan data. For the body shape analysis and classification, 3D body scan data of 270 aged women were used, and 16 main measurements consisting of a human body were used to conduct factor analysis, cluster analysis and discriminant analysis. The analysis were performed on all 'the method using the absolute value', 'the method using index of height and weight', and 'the method using index of height', and according to the classification results, the method which categorizes body shapes best in terms of their shapes was adopted. As the factor analysis result using the numerical value of height to categorize the body shapes of the aged women, factor 1 was the thickness and width for the height, factor 2 was the height of the upper part of the body for the height, factor 3 was the height of hips for the height, and factor 4 was the height of belly for the height. When the body shapes were categorized with the deducted factors as variables, they were divided into two types. Type 1 was a short and fat body shape($\blacksquare$ type) and 55.6% of the subjects were of this type. Type 2 was for the body shape whose vertical height, including weight, was long but all kinds of width and thickness were small, that is, tall and thin body shape($\blacksquare$ type), and 44.4% of the aged women were in this case.

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

• 한국의상디자인학회지
• /
• 제22권3호
• /
• pp.99-110
• /
• 2020

In terms of junior high school girls' growth patterns during early adolescence, are unlike childhood when relatively balanced growth patterns are found and high school years in which the normal adult body type is nearly reached, growth patterns displayed are imbalanced and rapid. In fact, diverse size changes by body part growth occur significantly different from individual to individual. Therefore, it has been hard for junior high school students to select their proper size when buying school uniforms. This study attempted to acquire basic data needed to address adolescent body shapes and school uniform patterns for junior high school girls, using the data from the 7th Size Korea Survey (2015). Specifically, it provides basic data for the development of school uniform patterns through the classification of their body into particular types, After extracting body shape components and a cluster analysis using ANOVA. According to a factor analysis conducted to determine body shape components, six factors were obtained: Factor 1: bulk and horizontal size, Factor 2: body height and length, Factor 3: shoulder shape and length, Factor 4: shape of upper body, Factor 5: lower drop, Factor 6: upper drop with a variance of 81.46%. To classify junior high school girls' body shape and determine their characteristics, a cluster analysis was performed with the variables obtained using factor analysis. Body shape was classified into three different types: Type 1 accounted for 30.7%. This was a short, slender body with the smallest bulk, size, and upper drop. Type 2 accounted for 24.9%. This was the largest in bulk and horizontal size and highest and length as well. Type 3 accounted for 44.5%. This type was close to average in terms of horizontal size, length and height, and high drop values. To develop school uniforms with great accuracy and body fit for junior high school students, there should be further studies on changes in body shape and their causes. The study results can serve as basic data for comparing branded school uniform patterns for junior high school girls and developing school uniform patterns based on body shape, using 3D virtual clothing simulations.