This study aimed to identify changes in upper body measurements and body shape types among women over a 10-year period based on data from the 6th and 8th Size Korea Anthropometric Surveys. The study used regression analysis to explore the relationship between various dimensions, enabling the prediction of different upper body dimensions based on height and waist circumference. The sample consisted of 1,179 women in their 20s who participated in the 6th (2010) and 8th (2020) Size Korea Anthropometric Surveys, with 33 items analyzed. Initially, most items, except those related to height, exhibited larger values in the 8th Survey than in the 6th, suggesting a general increase in the upper body dimensions of females in their 20s over the 10-year period. Subsequent factor analysis revealed three factors crucial for determining the upper body shape of women in this age group. The body shapes were then categorized into four distinct clusters. Regression analysis indicated that both waist circumference and height significantly influence most of the measured items, with waist circumference having a more substantial impact in most models. Through this research, we aim to provide foundational data that reflects the evolving upper body shapes of women in their 20s to enhance clothing production and improve the sizing system.

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.

The purpose of this study was to classify the upper torso body types of obese Korean adult women using the 7th Korea National Anthropometric Study data and compare the body type differences according to three age groups: 20s～30s, 40s～50s, and 60s. A total of 548 adult women whose BMI was in the obese range of 25 or higher and whose age ranged from 20s to 60s were selected from the anthropometric database. Twenty-nine body measurements related to torso and arm areas important for torso and sleeve pattern development were chosen. Five drop values by differences between bust, waist, and hip circumferences were also chosen for analysis. The number of obese women increased with age. The results revealed seven factors according to the factor analysis and three obese body types based on the cluster analysis. Body type 1 (47.3% of obese women) was characterized by narrow shoulders, a small or medium torso, and a straight waist. Body type 2 (42.4% of obese women) was characterized by a defined waist and a larger lower torso than upper torso. Body type 3 (10.3% of obese women), the largest obese body type among the three types, was characterized by a large bust, large abdomen area, and long upper torso. Women in their 20s to 30s were most likely to have body type 2, women in their 40s to 50s were evenly distributed between body types 2 and 3, and women in their 60s were most likely to have body type 1.

In general, it is fact that most educational institutions have lots of problems about shift of education facility and equipment because of insufficient budget. However, most high school girls live a lot of period in the school and most of them wear student uniform. Thus, it is necessary that educational environment has to be improved by actual body size of high school girls. The main objective of this study is to provide numerical guideline for the improvement of educational environment about high school girls (17~19 years) through comparison and analysis on physical standard of nation (report published in 1997). The sample for this work chosen from data which were collected and measured by Size Korea during two years (2003~2004). In order to analyze feature of the somatotype of high school girls, analysis was performed about 734 subjects on 25 body parts such as height (7 parts), width (4 parts), thickness (4 parts), circumference (5 parts), length (4 parts) and body weight. For the specific comparison on somatotype, Rohrer index and Mollison's comparison graph were used. The result of this study can be utilized in various fields such as design of classroom, student uniforms, facilities and equipments for education, etc.

의류상품의 전자상거래 시장이 확대됨에 따라 인터넷쇼핑에서 의류를 구매할 때 선택한 의류를 착용한 자신의 모습을 확인하는 도구로 가상피팅모델이 제공되고 있다. 본 연구에서는 가상피팅모델 구축 시 사용자의 주관적인 체형인식을 반영할 필요가 있는지 알아보기 위하여 여성의 신체 치수나 체형에 대한 인식이 어떻게 다른지 연구하였다. 의류학 전공 여자대학원 50명을 대상으로 실험한 본 연구의 결과는 인체부위에 대한 개인의 치수인식이 체형에 따라 다름을 보여준다. 연구자들은 인터넷 의류 쇼핑용 가상피팅모델을 구축하기 위해서는 사용자 신체치수뿐만 아니라 사용자가 인지하는 자신의 체형특성을 반영할 필요가 있다고 결론지었다 특히 배가 많이 나온 체형도 자신이 실제보다 배가 나오지 않은 체형으로 생각하는 경향이 있으므로 여성이용자에게 거부되지 않는 가상피팅모델을 구축하기 위해서는 지나치게 극단적인 체형의 가상피팅모델의 구축은 신중하게 고려해야함을 시사하였다.

Compared to last decade, body size of children has been changed because of many factors such as caloric intake, hereditary evolution, individual exercise, and so on. Naturally, children will grow up and they will become teenagers, college students as time goes by. Also, all children will enter into appropriate educational institutes according to age. The objective of this study is to compare and analyze the data of body size of children for safe educational environment. The data are measured by some parts on body such as stature, height, weight, circumferences, length, width, and depth. The samples for this study are randomly chosen from kindergartens in. Seoul and Kangnung during three months (2000. 3 ∼ 2000. 5).