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.

Abstract
I. Introduction
II. Background
Ⅲ. Methods
    1. Participants
    2. Items of analysis
    3. Data analysis
Ⅳ. Results and Discussion
    1. Body measurements by age group
    2. Body measurement comparison between age groups
    3. Body shape classification
    4. Cluster analysis
    5. Discriminant analysis
    6. Analysis of the 8th body measurement data
Ⅴ. Conclusion
References

• Yejin Kim(Ph. D. Candidate, Dept. of Fashion Industry, Ewha Womans University) | 김예진 (이화여자대학교 의류산업학과 박사과정)
• Dong-Eun Kim(Professor, Dept. of Fashion Industry, Ewha Womans University) | 김동은 (이화여자대학교 의류산업학과 교수) Corresponding author