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 is to analyze the body type characteristics of tall adult men aged 20 to 69 years to present base material on body dimensions for men’s clothing companies. The research method comprised statistical analysis of 3D measurements after selecting items from the 8th Korean human body size survey related to the torso body types of 495 adult men who were at least 178cm tall. As a result, six factors were extracted, and the total explanatory variable of the entire factor was shown to be 80.499%. As a result of cluster analysis using this as an independent variable, three types were derived: Type 1, “a normal body type with an oval cross-sectional shape” (37.6%), with a larger vertical size and an oval chest cross-sectional shape compared to other types; Type 2: a “cylindrical thick body shape” (31.1%), which is the first stage of BMI obesity, with narrow shoulders and a cylindrical shape with a round cross-section; Type 3, “a body shape with broad shoulders and developed chest parts” (31.3%), with a horizontal size similar to Type 2 above the waist, but similar to Type 1 below. The results of this study are expected to be used as a basis for a clothing dimension system and clothing development for tall men reflecting the characteristics of the torso.

The aim of this study was to develop a body type suitable for adult men aged from their 20s to their 40s and to present a method of drafting related patterns. To this end, the somatic surface pattern data from previous studies were used. The research method involved drafting torso patterns for each type by setting and distributing the ease to the somatic surface pattern. Appearance evaluation was performed with virtual clothing. Then, the torso pattern for each body type was completed and presented as a draft method. SPSS was used for data analysis in this study. The research results are as follows. Types 1, 2, and 3 were set to 7%, 6%, 5%; 7%, 6%, 4%; and 6.5%, 7%, and 6% for chest, waist, and hip circumference measurements, respectively. The ratio of front to back was 50%:50%, 50%:50%, and 50%:50% of the spare for each body part for Type 1; 70%:30%, 50%:50%, and 60%:40% for Type 2, and 60%:40%, 70%:30%, and 60%:40% for Type 3. A tight-fit torso pattern for each body type suitable for adult males in their 20s to 40s was drafted, which was modified and supplemented through the evaluation of the first and second virtual wear. Considering the practicality of this approach, for generalization of the patterns, the items of the pattern were converted into a drafting method and presented as a draft method.