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.

This study aims to develop a fitted torso pattern suitable for males in their forties and fifties who are obese—a group that accounts for more than fifty percent of men in this age group—using a 3D virtual fitting program. Size Korea’s 2022 data for obese males in their forties and fifties is utilized for this study. In terms of the research method, a 3D program (CLO 3D) is used to implement the target group’s various body types and to apply fitted torsos that enable verification and evaluation of the pattern’s fit and ease. The characteristics of fitted torso patterns for obese bodies are as follows: the front centerline is a profile line; shoulder darts are added by reflecting waist-abdominal protrusion in the front panel; and shoulder, arm, waist, and center-back darts are constructed for the back panel. For obese bodies, the minimum circumference ease amounts should be approximately 6–7cm for the chest, 6cm for the waist, and 6–7cm for the hips. Based on an evaluation of the virtual fit of the developed fitted torso pattern, the data shows that a pattern (foundation) such as this is well suited for obese body types with an average of 4.67/5 points for reverse triangular obesity, an average of 6.67/7 points for log obesity, and an average of 6.69 points for the ease amount.

The purpose of this study is to create a shirt sloper suitable for an elderly male body shape by producing virtual models using a 3D-virtualization program, making a torso prototype using the Yuka CAD system, and employing 3D simulation to virtualize and calibrate the model. First, the following three types of obese dummies are implemented through the CLO 3D program: Type 1 exhibits body fat in the lower body; Type 2 exhibits an obese abdomen; and Type 3 displays a balanced form of obesity. Second, for the design of the shirt pattern, the waist back length (measured value+1), back armhole depth (C/10+12+3+0.5~1.5), front armhole depth (back armhole depth 0~1), front interscye (2C/10‒1+0.5‒0.5), armscye depth (C/10+2+3.5+ 0.5), back interscye (2C/10‒1+1), front chest C (C/4+2.5+1), back chest C (C/4+2.5‒1), front hem C (C/4+2.5+1(+2)), back hem C (C/4+2.5‒1(+2)), cap height (AH/3‒5), and biceps width (Front AH‒1, Back AH‒1) are calculated. Third, the virtual attachment of the shirt pattern is resolved by increasing the front and back armhole depths, and the front and rear wrinkles are improved by adding a back armhole dart. The front hem lift and lateral pull caused by the protrusion of the abdomen are amended by increasing the margin of the chest, waist C, and hip C, with the appearance improved by balanced margin distribution in the front, back, and side panels. The improved retail pattern with an increase in the front armholes C was balanced on the torso plate.

This study presents an efficient clothes-sizing system for those experiencing obesity in old age with the aim of revitalizing the clothing industry for older obese people. The study targets 249 obese men aged 60 to 85 who satisfy a Rohrer index score of 1.6 or higher and a BMI (body mass index) of 25 or higher. Elderly obese males showed more obesity in the body based on the waist. In particular, those in their 60s were the most obese, and after reaching their 70s, characteristics of old age in which the stature was reduced and the limbs were tapered were shown. The clothes-sizing system was set to 5cm in stature, 5cm and 3cm in chest girth, 2cm in waist girth (omphalion), and 2cm in hip girth according to the KS standards. Through the two-way distribution of each section, the name of the section with a high distribution was given. Casual tops were selected from eight sizes, ranging from 155 to 170cm in stature and 95 to 105cm in chest girth. Suit top sizes were selected from eight sizes, ranging from 160 to 170cm in stature and 94 to 103cm in chest girth. Bottoms suggested 10 sizes distributed between 90 and 100cm in waist girth (omphalion) and 92 and 98cm in hip girth. According to the KS standards, the detailed size was divided into the basic part and the reference part.

This study aims to explore the diverse characteristics of obese groups of Korean males in their 20’s to 40’s. A total of 201 males who each had a BMI (Body Mass Index) of 23 or over were recruited through a convenient sampling. Samples were categorized into groups of overweight, slightly obese, and severely obese, and submitted for data analysis. Results are summarized as follows. First, in terms of demographic characteristics, slightly and severely obese males were older than overweight males. There were also group differences in marital status and household income. Second, slightly and severely obese groups demonstrated a higher perception of obesity and a lower perception of health than did the overweight group. Third, there were no group differences in body satisfaction, socio-cultural attitudes toward appearance, and self-esteem. Based on these results, we concluded that overweight, slightly obese, and severely obese groups were distinguishable from each other in terms of their demographic characteristics, whereas the slightly obese group and the severely obese group were not different in terms of perception of obesity, perception of health, weight control behaviors, body satisfaction, body image, socio-cultural attitudes toward appearance, and self-esteem. These findings may reflect that people may not become increasingly sensitive to socio-psychological stimulations as they gain more weight if they have exceeded a certain level of obesity. This observation provides meaningful implications for the differences among obesity groups given the lack of prior research focusing on this issue.

The purpose of this study is to promote the elderly apparel industry for the increasing numbers of elderly obese male population. In the study, a total number of 249 males between the ages of 60 to 85 were studied to analyze their body types and differences. The group had a Rohrer Index of 1.6 or higher and BMI of 25 or higher. The noticeable physical differences in the group were shorter waist front length, bigger waist and hip circumferences with increasing age and slimmer limbs that are associated with the natural aging process with or without obesity. The obese body types have been classified in the following 3 different categories. Type 1 is the group that has lower body obesity with broad shoulders and relatively slimmer abdomen than a heavy bottom. A total number of 84 people belonged to the type 1 obesity category which makes up 33.8% of the total. Type 2 is the group that has upper body obesity with especially large abdominal obesity. A total number of 76 people, 30.5% of the total, were classified as type 2. Type 3 is the group that has whole body obesity with balanced obesity in the whole body. A total number of 89 people, 35.7% of the total, made up type 3.

The purpose of this study was to develop slacks patterns for middle-aged abdomen-obese adult males by using the 3D virtual-twin and virtual-garment simulation system. The criteria for subjects in this study were males who had over 25kg/m2 of BMI, over 90cm of waist, and over 0.90 of WHR. A total of 211 adult males who met these criteria were enrolled. The results were as follows: first, a new slacks pattern considerate of abdomen-obese men was development. The basic numerical formula were as follows: front and back hip girth H/4+3.5, front waist girth W/4+1+0.5, back waist girth W/4+1－0.5, front crotch extension H/16, back crotch extension H/8－0.5, front pleats amount 2.7, and back dart amount 1.5. Second, according to the results of the new slacks patterns appearance evaluation, the new slacks pattern scored more highly than the existing pattern in silhouette and ease amount, confirming that the new slacks pattern is appropriate for the abdomen-obese men. Also, the new slacks pattern was evaluated allowing proper space length of waist, abdomen and hip. Virtual models of production through data from a 3D body scan, pattern draft and virtual garment digital program were applied to a prototypic design method in order to enhance the fitness of ready-made garments. The use of the virtual twin made it impossible to comprehend the appearances and ease correspondent to motions. In order to evaluate wearing fitness, therefore, the system should be improved so as to change arm positions and perform various motions.