• 한국의류산업학회지
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• 제18권1호
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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.

• 복식문화연구
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• 제31권2호
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• pp.193-212
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• 2023

The purpose of this study is to classify the body types of obese men in their 50-60s and compare them with those of obese middle-aged men in their 30-40s. The 3D anthropometric data of obese men aged 50 to 60 years from the 6th Size Korea. The data are analyzed using SPSS 25.0 for Windows, and descriptive statistics, χ² test, correlation analysis, and cluster analysis are used to classify obese body types. As a result of the study, five factors are extracted to determine body types, which are classified into three obese body types through cluster analysis. 1) a large physique and consequently large circumference and height; 2) A short upper body length, short height, and thick belly; 3) the lowest rate of obesity and relatively flat abdominal curve. For the 30-40s group, Type1 showed the highest rate at 55.6%, whereas for the 50s group, Type3 showed the highest rate at 49.3%, and for 60s group, Type2 showed the highest rate at 41.2%. The classification accuracy of the discriminant function for each type is 94.7%, indicating relatively high accuracy. Furthemore, the recently changed obese body type are analyzed by comparing it with the 3D anthropometric data of 8th Size Korea, which will contribute to the utilization of basic data for manufacturing apparel for obese men.

• 대한치과보철학회지
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• 제35권1호
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• pp.181-210
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• 1997

The stress distribution generated in the surrounding bone was calculated and compared for various geometry of the dental implants by means of the finite element methods. The models were designed to represent the screw type endosseous implants(varing the size, shape, direction of the screw thread and the angle of the body) with supporting bone and the cylinder type endosseous implants(varing the lower portion-Round type, tapered type) with supporting bone. Static mean bite forces were applied 100N vertically and 25N horizontally on the center of the implant and three dimensional finite analysis was undertaken using software ANSYS 5.1 Version. The result demonstrated that different implant shape leads to significant variations in stress distribution in the bone. In the case of variation of the screw size, direction and shape the implant model with normally directional and triangular screw implied lower stress than with upper directional or lower directional and quadrangular screw but among models a different screw size, within a variation of 0.2mm there was no meaningful difference in maximum stress. In the case of variation of angle of body the straight implied lower stress than the tapered. As a result of analysis of cylinder type, the implants with larger radius of curvature of the round form and larger diameter of the tapered form implied lower stress.

• 복식문화연구
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• 제13권1호
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• pp.6-17
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• 2005

The purpose of this research is to define low 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 skirt's and slacks' prototypes according to each body type. Based on factor analysis of the measured data, seven 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 in stature and balanced. This body type is characterized by trapezoid body shape when looked from the front, and slim the abdomen, bulge the belly and flat the buttocks when looked from the side. Type 2 refers to short and an obese body shapes, with trapezoid front and bulge abdomen and belly and flat the buttocks. Type 3 refers to those who are of medium height and long-legged body shapes, with rectangular front, protruding belly and buttocks. Type 4 refers to obese body shapes, with rectangular front, protruding abdomen and belly, flat the buttocks. 9 items are available to judge Plus-sized women's low body types and the hit ratio is 93.5%.

• 한국의류산업학회지
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• 제2권4호
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• pp.300-307
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• 2000

The purpose of this study was to classify and analyze the body type of obese boys who are school year for 9 to 11 years. A total of 49 body measurements were collected for this study including both direct and indirect measurements (33 variables from the direct anthropometric data, 16 variables from the indirect anthropometric data). Data from anthropometric measurement were analyzed using descriptive, factor and cluster analysis. The obese boys investigated in this project were in the category of average height 146.31 cm, weight 52.17 kg. The values for the study were compared to values from the National Anthropometric Survey of Korea. As the result of factor analysis for the classification of body type, 6 factors were extracted from all items. The first was transverse size of upper body, also, the second was its longitudinal size. The third was thicknesses of front and back at side views. The fourth was shoulder shape. The fifth was upper body angle factor. The sixth was upper body length. The body form was classified with cluster analysis, using factor score. The shape of the body was classified in 3 types.

• 한국의류학회지
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• 제48권3호
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• pp.528-542
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• 2024

The aim of this study was to analyze and typify the body shape of tall women aged 20-69 using 3D measurement data from the 2020 8^th Human Dimensions Survey data with greater than 165.0 cm in height defined as large stature. Each body type's characteristics were examined to derive points of differentiation compared to women of average body type. The analysis showed that as height increases, body height, length, and generally body circumference, thickness, and width also increase. However, taller women were found to have thinner waists, indicating a wider, flatter waist area. Waist circumference was also smaller, albeit not at a statistically significant level. Body shapes of adult women over 165.0 cm tall were classified into three types. The following body types were analyzed: thick ankles and drooping shoulders, thin and short torso, tall and long, long torso and thick ankles, large body circumference, thickness and width, normal torso length, and short stature and thin ankles. To develop garments for adult women over 165.0 cm tall, a new drafting method was required set the waist, knee height, and shoulder width.

• 한국식생활문화학회지
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• 제36권2호
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• pp.184-197
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• 2021

This study investigated the recognition and utilization status of food labeling and nutrition labeling, according to the body type recognition of university students. In a total of 351 subjects, the male subjects comprised of 25.8% belonging to the underweight awareness group, 46.3% normal weight awareness group, and 27.9% overweight awareness students. Among the female students, 29.2% belonged to the underweight awareness group, 36.6% were normal body weight, and 34.2% were the overweight group. When purchasing processed foods, the price (4.05 points), expiration date (4.03 points), and gross weight (3.88 points) were the most considered factors of the food labeling content (5 points) for all body shape recognition groups. The food labeling of canned foods was checked most by the underweight awareness group (p<0.05). For bread and snacks, the contents of food labeling were confirmed most by the normal weight awareness group and the overweight awareness group (p<0.001). For beverages, the normal weight awareness group checked more food labels (p<0.01). The underweight awareness group (55.2%) hardly checked the nutritional labeling, and 22.9% of these subjects did not check at all. Our results may provide the necessity to improve the incorrect eating habits of students, by evaluating differences between the cognitive body type and the actual body type by BMI.

• 한국컴퓨터정보학회논문지
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• 제23권9호
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• pp.97-105
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• 2018

The purpose of this study was to analyze the measurement data of 13 ~ 18 year old male students and to characterize the body shape of the lower body, Through this, I tried to provide basic data for the production of pants for adolescent men's students. As a result of analyzing the body shape factor of the lower half, two factors were classified. 'Vertical factor' of the lower body composed of the circumference, thickness, and width, and the 'horizontal factor' of the lower body composed of the length and height. The body shape of the lower half was classified into four categories according to the circumference and length of the lower half of the male students, such as 'short bird legs', 'long crane legs', 'short pillar' and 'long pillar'. In the study of Hong Eun-hee (2005), body type was classified according to horizontal factor and vertical factor like this study. By age, boys aged 13 to 14 can see that the lower body is thin and short, the lower body is thin and long body is 15-16 years old, and the lower body is relatively thick and long body is 17-18 years old. As the age increases, the growth in the vertical direction occurs first and the growth in the horizontal direction occurs. It is thought that it is necessary to set a different amount of allowance for setting the length and the circumference according to the age of the youth. When the age is young, the amount of allowance in the circumferential direction should be increased, and the amount of allowance in the longitudinal direction after 15 years of age should be increased more than other age groups.

• 패션비즈니스
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• 제12권2호
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• pp.87-99
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• 2008

This study aims to classify lower trunk body types of Chinese men in their middle age (30s and 40s) and suggest the standard for them to design slacks pattern. Mollison's relation deviations were used to analyze the direct measurement items in this research compared to those of Size Korea 2004. Though Korean middle-aged men were higher in most items than Chinese counterparts, all items except mid-thigh circumference and side hip length were merely within the range of ${\pm}1\sigma$. According to the results of size classification by absolute values, factor analysis extracted to 2 factors(horizontal size of lower body and vertical size of lower body), and cluster analysis brought about 3 types(type1: tall and thin trunk (36.9%), type 2 : normal height and thick trunk(45.5%), and type 3 : short and normal trunk(17.6%) with some significant differences among them. Also, the results of shape classification by index values, they were extracted 4 factors (waist-hip flatness, waist-hip cross section, vertical waist-groin and hip-surface length) by factor analysis and revealed 3 types(type 1: different waist-hip width, thick, long waist, long upper hip, and short hip-surface length(27.8%), type 2 : different waist-hip width, flat, short upper hip, high hip and groin, and average hip-surface length(29.4%), and type 3: small waist-hip width, thick, average upper hip, and short hip-surface length (42.8%)) with significant differences among them by cluster analysis. The results of standard body types by shape-size combination, 19subjects(10.16%) under these values are regarded as standard body types. Significance was not seen in all items in the t-test results between the total group and the standard group. The latter had lower variation coefficients and smaller individual differences than the former. However, in-depth research is required for generalization since this research is limited to a small number of subjects in Ningbo of Zhejiang.

• 복식
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• 제40권
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• pp.95-107
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• 1998

The purpose of this research paper is to offer basic data for cloth design which is intended to apply appropriate shape and catacity to cloth. Followings are the analyzed result of investigation which was conducted to figure out the character of middle aged from 35 to 59 years old-women body especially in lower half of their body. 177 women took part in this investigation. 1. As a result of analyzed characters for middle aged women body shape, taking a side view of body, there are great variance in thickness coefficient which indicates the size of body. 2. According to a comparison result of early middle aged women body shape with late middle aged women body shape, the value in height items get shorter otherwise the value in thickness items get longer getting older. It means late middle aged women are relatively fat. 3. For the analysis of women body especially in lower half, 8 factors were used. They are as followings. Factor 1. Side thickness of lower half. Factor 2. Width of lower half. Factor 3. Height of lower half Factor 4. Droop of underbelly Factor 5. Salient rate of buttocks. Factor 6. Length of buttocks. Factor 7. Salient rate of underbelly. Factor 8. Droop of buttocks 4. Lower half shapes of middle aged women were divided into three groups and the character of each group are as followings. 〈Group 1〉65.0% of women who took part in this investigation have this type of body shape. They have long value in height items and thickness items. 〈Group 2〉16.4% of women who take part in this investigation were belonged to this group. The value in height items were not so different from group 1 but the thickness value are shorter than group 1. Women of group 2 have slime body shape. 〈Group 3〉18.6% of women were belonged to group 3. They show the shortest value in height items otherwise the longest value in thickness items. Therefore they are the smallest and the fattest group in this investigation.