• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.8
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• pp.1075-1094
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• 2013

This study analyzed the lower body type of women aged 20 to 30 to understand their respective characteristics. The research method was restricted to the use of direct measurements data and 3D measurements data of the Sixth Size Korea. Factor analysis, cluster analysis, ANOVA, Duncan's test, discriminant analysis, t-test, and ${\chi}^2$-test were performed for the statistical analysis of the data using SPSS Win 20.0 program. The results of this study are as follows. Lower body type based on 3D measurements were classified into 3 types (obese lower body, long lower body, and small lower body). Lower body type based on direct measurements were classified into 3 types (obese lower body, thick and long lower body, and small lower body). Lower body type based on the direct measurement of sitting pose were classified into 3 types (obese lower body, long and thin lower body, and short lower body). The age differences in the lower body types could be analyzed by an evaluation of the 3D simulation of the lower body.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.163-173
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• 2022

This study attempted to categorize the lower body torso type and investigated its characteristics for women in their 40s, 50s, and 60s, who increase the frequency of incontinence. This study analyzed the 8th human dimension survey data of Korean Agency for Technology and Standards. The data were analyzed by SPSS 26.0 program. It was analyzed that the height item of the lower body torso decreased, the width item widen as the age increases, and the waist and abdomen circumference of the circumference item increased and the hip circumference decreased. Body length decreased with age. The components of the lower torso were classified into the lower torso horizontal factor, height factor, lower factor, and vertical factor. The lower body torso type was classified into a long inverted triangular body type, a short and high body type, a body fat body type, and a low triangular body type. It was analyzed that type 3 was the largest in the horizontal factor and height factor, and type 1 was the largest in the vertical factor and the lower part factor. A new drafting method was required in setting the horizontal part of the incontinence panty, the front and the back length.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.329-330
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• 2022

본 연구에서는 3차원 시뮬레이션 프로그램을 활용하여 40대, 50대, 60대 여성의 하반신 몸통 관련 부위 유형에 따라 요실금 팬티 패턴을 제작하여 하반신 몸통 유형별 요실금 팬티 패턴을 비교·분석하고자 하였다. 유형 1의 패턴은 가장 길이가 길고 폭은 두 번째로 넓은 형태를 나타냈고, 유형 2는 길이가 가장 짧고 좁은 형태를 나타냈다. 유형 3은 길이가 가장 짧고 폭은 가장 넓은 형태를 나타냈으며, 유형 4는 가장 폭이 좁고 길이가 두 번째로 긴 형태를 나타냈다. 가상착의에 대한 평가결과, 유형 2가 앞면, 옆면, 뒷면 모두에서 가장 우수한 것으로 평가되었다. 유형 3은 허리와 복부, 엉덩이와 넙다리둘레가 가장 크고, 하반신이 짧은 비만 체형으로 다른 체형과 같은 방식으로 패턴을 제작하였을 시 다리둘레와 엉덩이부위의 감싸는 분량이 부족한 것으로 평가되었다.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.2
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• pp.237-244
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• 2000

This study was carried out on 91 obese women who satisfied both of the conditions for obesity: over 1.6 in Rohrer index and over 90cm in bust girth. The purpose of this study was to analyze and classify the lower body of obese women and find out their respective characteristics. Twenty seven measurement items(21 direct measurement items and 6 indirect measurement items) were used for factor-analysis and cluster-analysis. In the study of lower body type, 7 factors were as a result of factor analysis and those factors were comprise 75.9% of total variance. Lower bodyshape were classified 3 types according to the cluster analysis. Type 1 was protrude of the hip, type 2 was short leg and protrude of the abdominal region and type 3 was obese of hip and long leg.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.310-320
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• 2020

This study established a lower garment sizing system for abdominal obesity adult women aged 30-59 based on 277 females selected from the 7th Size Korean Anthropometric survey. The criteria for subjects in this study were over 25 kg/㎡ of the BMI, over 85 cm of waist, and over 0.8 waist hip ratio. The results are as follows. The lower body analysis of abdominal obesity adult women showed that average circumference items were larger than the ordinary size, and the average length items were smaller. The standard deviation was applied around the average values of waist circumference and hip circumference for the suggestion of a lower garment sizing system for abdominal obesity adult women. The interval between the designation was ±1.5 cm with a waist circumference of 100 cm and ±2.5 cm with an average hip circumference of 100 cm. We established 13 designation sections in consideration of the cover ratio and cover efficiency. The cover ratio in the 13 nominal sections was 71.5%. The segmental distribution rate presented in the results will also be useful for production planning in specific sizes that helped enable rational production.

• The Research Journal of the Costume Culture
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• v.19 no.6
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• pp.1150-1162
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• 2011

Considering the fact that the fit for men's clothes is important for the sizing system modern ready-made pants, an analysis of obese middle-aged men is required at this period of time to determine the appropriate fit for obese men. The following research focused on 635 middle-aged obese men who had a BMI index of at least 25 and a waist circumference from the belly-button level of 34 inches or more. This research deals with the articles of circumference, thickness and other major physical changes that happen during the 30s, 40s, and 50s. According to the analysis of these body measurement articles with specific regard to age, men's height and the height of their waist seemed to decrease as their age increased. This demonstrates that as these men grow older, the waist and stomach slowly curved into a circular and flat body type due to their obesity. In this study, the first factor figure was the height and leg length. The second factor figure was the waist form. The third factor figure was the center thigh circumference. The fourth and fifth factor figures were the hip length and shape. Lastly, the sixth factor figure was the calf circumference. These 6 factor figures construct 80.57% of the volume explanation and showed 3 patterns through a cluster analysis that showed different patterns of obesity forms for waist circumferences in key figure 1, waist and thigh circumferences in key figure 2, and waist and buttocks circumferences. Therefore, it was worthwhile to consider the circumferences of the waist, buttocks and thigh according to the body type category to enhance the drafting of well-fitting pants.

• Fashion & Textile Research Journal
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• v.21 no.3
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• pp.308-317
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• 2019

This study provided data for classifying and characterizing the lower half of the body shape for obese adult men in their 30s and 40s. Data of 492 adult males who were obese with a WHO criteria of >25 BMI were used for analysis. The results of the study are as follows. Six factors extracted from the factorial analysis as independent factors for cluster analysis were classified into three types. Type 1 (65.4%) had the lowest height of the lower half of the body with short circumference and length. Type 2 (20.3%) had the lowest height of the lower half of the body with the largest thickness, width and circumference from the back to the hip, but short in length. Type 3 (14.2%) had the lowest height of the lower half of the body with medium height and waist-height; however, the curve from the waist to the hip was the largest with the largest waist circumference, hip circumference, and width and thickness of the lower half of the body. This study will help to design a slack pattern that utilizes body shape characteristics of men in their 30s and 40s. In a follow-up study, we analyze the slack pattern and educational pattern by the company and study the necessity for a slack pattern for obese males.

• Fashion & Textile Research Journal
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• v.15 no.2
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• pp.240-246
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• 2013

Data from 540 subjects (included in the obesity group whose BMI was over 25) was selected from 2,445 subjects in the $6^{th}$ Korean Body Size Survey. A total of 25 direct measurements were selected for the relevant literature lower body size measurement analysis, that included 9 components related to BMI, height and circumferences, 3 components related to width and thickness, 5 components related to length, 3 components related to height, and 2 other components. Descriptive statistics, factor analysis, cluster analysis and variance analysis were executed using PASW 18.0 to analyze the data. In accordance with the factor analysis results to classify the lower body shape of overweight women in their 20s to 60s whose BMI was over 25, 4 factors were identified (lower body volume, leg volume, lower body length and leg length). A total of 4 lower body shapes of overweight women were found through cluster analysis using 4 factor scores from the factor analysis. Body Shape 1 had the largest lower body and leg volume. It was the heaviest group. Leg length was at a normal level. Body Shape 1 was 22.2% (122 subjects). Body Shape 2 had the longest legs and the smallest body shape; however, Body Shape 2 was the leg obesity group with the largest leg volume. It was 39.8% (215 subjects). Body Shape 3 had a smaller leg volume in proportion to the lower body thickness and a long lower body length. It comprised 27.8% (150 subjects). Body Shape 4 comprised 9.8% (53 subjects) with the shortest leg. Its lower body obesity was at a normal level.

• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.677-686
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• 2019

This study helps out-size consumers purchase ready-made clothes and improve fitness by classifying the lower bodies of abdomen-obese adult males in their 20s and older; in addition, it creates a size system based on each size interval of obesity type. The criteria for the 559 male subjects surveyed in this study were over $25kg/m^2$ of BMI, over 90 cm of waist, and over 0.85 waist hip ratio. The results are as follows. First, the higher the age group, the higher the degree of abdominal obesity in each age group. The degree of obesity then decreases somewhat as their age increases; however, the risk of abdominal obesity also increases. Second, 3 clusters were categorized by cluster analysis, into abdominal obesity, larger oval-type, trapezoid-type and small cylinder-type. Third, the size system establishment according to lower-body types resulted in basic body sizes and reference body sizes being different according to types even in commonly-appeared size names in the sections of respective types. The above research findings show it is necessary to understand obesity types according to waist and hip sizes that represent basic sizes and to design patterns in consideration of the characteristics of obese body shapes when lower-half body clothes are designed among obesity groups.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.615-625
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• 2023

This study aimed to analyze the characteristics of the lower-body shape of middle-aged males with abdominal obesity by type and consider dimensional distribution to present a suit-pants size. The criteria were having a waist circumference greater than 90 cm and a waist-to-hip ratio(WHR) greater than 0.90; a total of 566 middle-aged males were surveyed. The findings revealed that, first, compared to standard lower-body types, the average body size of abdomenobese middle-aged males was significantly larger, especially in the horizontal area than in the vertical ares. Second, through a cluster analysis, a total of three categories of abdominal obesity were defined: small oval, large cylinder, and trapezoid type. The coverage rates of each type were 93.8%, 75.9%, and 93.0%, respectively. Finally, the suit-pants size system established according to lower-body types indicated the basic body size and reference body size were different for each type and also for the KS K 0050 male adult's garments size system. According to the definition of abdominal obesity, the types of abdominal obesity and the dimensions of each area are different, even if they belong to the same obesity group, suggesting that it is necessary to develop a pattern based on the analysis of obesity types.