• Fashion & Textile Research Journal
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• v.11 no.4
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• pp.621-632
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• 2009

The purpose of this study was to analyze the physical characteristic of the wheelchair users by directly measuring the disabled men who use a wheelchair and to classify body types. The subjects were 178 male wheelchair users 20-69 years range of age. The results of this study were as follows. The cause of disability was classified into four groups; Poliomyelitis(P), Spinal Cord Injury(S), Cerebral Palsy(C), Amputee(A). There was a remarkable difference in the physical characteristic of the wheelchair users due to their cause of disability. A have greater values in all the dimensions. P have the largest drop values and smaller values in the lower body dimensions. S have greater values in the height of upper body trunk, back interscye length, and chest circumference, whereas smaller values in waist front length and thigh circumference. C have smaller values in most body dimensions except circumference of lower limb. By the factor analysis on the anthropometric data came out the result to be eight factors. The result of cluster analysis using factor scores shows the body types of wheelchair users can be divided into four body types; PY, RBB, TBP, RA. PY type is short and has the largest drop values, whereas RBB type tends to have the smallest drop values. TBP type is tall and the torso tends to be larger than those of the other types. RA type has smaller values in front body dimensions and moderate values in other dimensions. The diversity in body types should be considered among the wheelchair users.

• Journal of the Korean Society of Safety
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• v.34 no.3
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• pp.42-49
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• 2019

This study statistically analyzed the laboratory accidents by investigating 806 laboratory accident survey reports which were officially submitted to government from 2013 to June 2017. After comparing domestic and foreign accident classification criteria, the laboratory accidents were classified using KCD7(Korean Standard Classification of Diseases) and OIICS(Occupational Injury and Illness Classification System) criteria. For the type and part of injury, KCD7 classification criteria was adopted. And, for the cause and occurrence type of accidents, OIICS was adopted to analyze the laboratory accidents. Most of injuries happened to the wrist and hand caused by sharp materials or chemical materials. The analysis of accident cause showed that accidents resulted in medical practice and accidents from handtools and chemical materials such as acid and alkali frequently occurred. The major occurrence types of laboratory accidents was body exposure to the chemical materials such as hydrochloric acid and sulfuric acid. In addition, the accidents resulted in destroy of grasped object or falling object were frequently reported.

• Journal of Fashion Business
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• v.9 no.3
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• pp.47-63
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• 2005

The study with the subjects at 200 adult males in Busan in their 20s had a purpose at analyzing lateral body shapes to develop men's educational dress forms. The following are the conclusions: 1. Comparison at the Body Dimensions at Busan Male Adults in Their 20s and the 5th Survey at Korean Body Measurement In the comparison at the Busan and national body dimensions by way at Mollison's relative deviation, all compared items were under the deviation of 0.7. Therefore, the sample of Busan male grown-ups is understood io represent the body shapes of the average Korean male adults in their 20s. 2. Results of Lateral Body Shape Classification From factor analysis, seven factors were produced to explain 75.45% of all variables. Those 7 factors to compose lateral body shapes were hip prominence, back-neck sides, upper body's front-back depth, lateral upper body depth, hip-waist depth, front chest-waist depth, and hip and waist height. Cluster analysis revealed four characteristic lateral body shapes. Type 1 with the appearance rate of 11.70%, named D, had the greatest upper chest angle and tanterior neck lower angle. The front side was more developed. Type 2 with 33.51%, named I, was generally long and slender. Type 3 with 24.47%, named d, had the biggest depth differences in hip-chest as well as more prominent back hip. Type 4 with 30.32%, named q, had the biggest dorsal upper angle and the tiniest chest upper angle as the back area was a little bent.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.603-614
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• 2023

Body shape is the most influential factor in determining the quality of clothing fit. Women's body shape begins to change significantly in their mid-30s; therefore, this study aimed to classify and analyze the torso shapes of women aged 35-54 years. This study selected 200 3D body scans of women from the 8th Size Korea Survey database (2021). Using the Grasshopper algorithm developed in a previous study, 17 landmarks were automatically detected and 57 measurement values were generated. Using principal component analysis, 11 components (overall body size, upper body length, back protrusion, upper body slope, neck position, neck inclination, hip length, bust prominence, abdominal prominence, shoulder slope, and buttock prominence) were extracted. Three torso types were identified using K-means cluster analysis. The three body types were significantly different on nine component scores. Among the three torso types, Type 1 (37.5%) has the longest upper body and the flattest back and hips. Type 2 (31.0%) has the most curved back and forward upper body. Its abdomen is the flattest, and its shoulders are the most sloped. Type 3 (31.5%) has the shortest upper body, the most protruding hips, and the largest overall body size. This paper proposes two discriminant functions for identifying a new person's torso type.

• Journal of the Korean Society of Costume
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• v.53 no.6
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• pp.145-159
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• 2003

The purpose of this study was to classify body type for ready-to-wear sizes. The subjects were 300 women ages of 18-24. they were measured direct anthropometry. The body types for sizing system were divided by Rohrer Index. KS drop value and ISO drop value. The results of this study were as follows. 1. By adapting the Rohrer Index. we classify 3 types from anthropometric measurements. The thin type covered 39.3%, the standard type 51.0% and the obesity type 18.7%. The characteristics of clusters were as follows. Thin type was characterized by tall. slender type and slim. The standard type was characterized by middle sized. The obesity type was characterized by short. fat type. and large bust. 2. By adapting the KS system drop value. we classify 3 types from anthropometric measurements. The H type(drop 0) covered 25.6%. the N type(drop 6) 65.2% and the A type(drop 12) 9.2%. Type H was slightly tall large bust. and curved from waist to hip. Type A was slightly thin. large hip and smaller bust than type N. Principal factor components were bust size. The height could be divided into three groups. The Petite(l50cm) covered 5.5%. the Regular(l60cm) 64.7% and the Tall(l70cm) 29.8%. Through the crosstab of height and body type. we extracted regular height by N type 46.2% the largest cell. The body type was the higher order of N type. H type and A type. The tall was the higher order of Regular. Tall and Petite. 3. By adapting the ISO system drop value. we classify 3 types from anthropometric measurements. The H type(drop 0) covered 15.0%. the M type(drop 6) 41.0% and the A type(drop 12) 44.0%. Type H was slightly short. slightly fat and large bust. Type A was slightly tall. slight thin than type M. The height could be divided into three groups. We adjust the height section after allow for height distribution. The Short(152cm) covered 12.8%. the Regular(160cm) 66.9% and the Long(168cm) 20.3%. Through the crosstab of height and body type, we extracted regular height by M type 29.3% the largest cell. The body type was the higher order of M type, A type and H type. The tall was the higher order of Regular, Long and short.

• The Research Journal of the Costume Culture
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• v.31 no.2
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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.

• Fashion & Textile Research Journal
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• v.2 no.4
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.4
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• pp.521-529
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• 2000

This paper proposed the sizing system for women's upper clothes in order to improve clothing fitness and raise the productivity. The sizing system was classified according to 5 body types and 5 age groups. The size intervals of the basic dimensions were established at regular intervals centering around their means. The size interval of stature was 8cm centering around 158cm and that of bust girth 4cm centering around 84cm and that of hip girth 4cm centering around 92cm. Frequency distribution on the size of upper clothes showed that the most frequent size were 96-96-150 in the longest-fattest type, 88-96-158 in the long-fatter type, 84-92-158 in the medium length-fat type, 84-92-166 in the Short-balanced type, and 76-88-158 and 80-88-158 in the medium length-balanced type. The number of the sizes of upper clothes, which had frequencies more than 5%, was 32 and each size was presented with waist girth, back waist length and sleeve length. The size system classified by age group had 22 cases in the early twenties, 15 cases in the late twenties, 21 cases in the early thirties, 19 cases in the late thirties, and 15 cases in the forties.

• Journal of the Korean Society of School Health
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• v.21 no.2
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• pp.13-22
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• 2008

Purpose : This study investigated the relationship between body type, subjective symptoms and health awareness in female high school students Methods : The subjects were 393 students at the female high school in Taejon City by self-recorded questionnaires in May, 2006. Results : In the classification of body type based on the degree of obesity, low weight group was 20.9%, normal weight group was 58.0%, over weight group was 11.7% and obesity group was 9.4%. In the level of body type wareness, those who consider themselves to be obesity type 13.7%, standard type were 43.8%, and leptosomic type 8.1%, but there was a clear tendency to be leptosomic type that the rate was 76.3%. In the complaint rates of subjective symptoms, “fatigue” was the highest, followed by “neck pain(stiffness)”, “dizziness”, “stomachache” in the descending order. In the complaint rates of subjective symptoms by the degree of obesity, dizziness, irregular menstruation and anorexia were higher according to the lower obesity, but constipation and wearied eyes were the higher the more obesity. Conclusion : The study results showed that the recent female high school students were clear tendency to be leptosomic type, and leptosomic and obesity type were related with subjective symptoms. Considering these findings, it appeared that being excessively thin is related to symptoms and young women's thinness-oriented attitudes are unhealthful.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.6
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• pp.1069-1078
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• 2001

Pattern grading is a technique used to increase or decrease the size of a garment pattern according to the measurements in a given size chart. The original pattern is graded and laid out for cutting before mass production. This study tried to classify body types for pattern grading of jacket by applying a concept of "drop"defined as the difference between chest girth and waist girth and the difference between hip girth and waist girth for pants. Data were collected through the stratified sampling method. 138 subjects were selected out of 1,290 subjects of our sample population. Findings were as follows : 1) For pattern grading of jacket, the cell with the chest girth of 96cm and the waist girth of 87cm had the highest frequency rate and body type was 87H type and the coverage of this type was 9.52%. Then, the size specification 87-96 was the center of distribution. H type had seven ones such as 72H, 75H, 78H, 81H, 84H. 87H and 90H. H type had 33 observations and frequency ratio of 26.19%. Same types could be graded up and down from the reference size for the age group. And this reference size became to the starting point for developing the grading system. 2) For pattern grading of pants, fatty types, H10 type had six ones such as 80H10. 82H10, 84H10, 86H10, 88H10 and 90H10. H10 type had 28 observations and frequency ratio of 20.29%. H6 type had 6 ones such as 84H6, 86H6, 88H6, 90H6. 92H6 and 94H6. H6 type had 27 observations and frequency ratio of 19.57%. If lower body types were classified as same ones, these types could be graded up and down proportionately.