This research checked about the necessity for the development of men's dress forms in the first investigation for the educational circle and the men's wear industry. Somatotype characteristics were analyzed in the second investigation of body measurement with the subjects of 200 male adults in their twenties residing in Busan. The following are the results of the present research to develop male dress forms for patternmaking: 1. In the group analysis for the characterization of front body types, three somatotypes were found and named H, Semi X, and Y. In the cluster analysis of side body types, four types were identified: D, I, d, and q. In the combination of front and lateral body types, four kinds were chosen: semi X-I, semi X-q, semi Y-I, and Y-q. 2. Through the comparison of plane figures by the plaster method as well as horizontal and vertical cross sections by the sliding gauge method, semi X-I was finally chosen as the standard somatotype for male dress form development. 3. Compared with the sliding gauge method of the present dress forms, the research dress form reflected better the shapes of the parts of the back and hips and the position of the waist, especially for males in their 20's. In addition, the dress form in the current research had superior points in all the items of clothing evaluation. Based on the above results, the sizes and models of the men's dress forms for patternmaking were developed.
Purpose: The Purpose of this study was to examine the degree of obesity stress and analyze factors having an effect on obesity stress among college women. Method: The subjects were 347 female students from a university in J City. Data were collected using a self-report questionnaire for general characteristics, health-related characteristics, and current and preferred somatotype. Obesity stress was measured using 10 items developed by Cho (1996) based on Body Attitudes questionnaire (BAQ) of Ben-Tovim and Walker (1991). The survey was conducted from September 4 to September 7, 2007. Data were analyzed by t-test, ANOVA, Scheffe test, Spearman's rank correlation test, and stepwise multiple regression using SPSS 14.0. Results: The average score of obesity stress was $2.78{\pm}0.90$ out of 5.00. Stepwise multiple regression analysis showed that the major factors that affect obesity stress of female college students were perceived body shape, disagreement between current and preferred somatotype, history of weight control, body mass index (BMI), and perceived health status, and these factors explained 38.4% of obesity stress. Conclusion: Subjective judgment in the perception of or preference for body shape was the most important factor affecting obesity stress in female college students. Therefore, a plan is necessary to mitigate obesity stress and evaluate individually subjects who perceive themselves to be fat or want to be thinner than the current somatotype. And consultation and constant management are needed to help the high risk group (experience of weight control, BMI ${\geq}23kg/m^2$, not good health status).
This study was conducted to analyze the characteristics of women's body somatotypes by direct measurements. Through the classification of degree of obesity and silhouette, women in their 20s who have a great interest in body somatotype can grasp their real somatotype and recognize their obesity rate and silhouette easily. The results are as follows: 1. Average sizes of subjects for this study were: height 160.3cm, weight 52.2kg, bust 83.7cm, waist 65.7cm, hips 91.1cm. And average values of each body mass index were: BMI 20.3, Rohrer Index 1.27, Vervaeck Index 84.8. 2. For the BMI value, the Average Numeric Index of normal somatotype was the highest, 76.9%. The Rohrer Index of underweight somatotype was 34.3% and the Average Numeric Index was 1.12. In the Vervaeck Index, underweight somatotype was 35.7%, and the average Numeric Index was 79.1, while the overweight somatotype was 7.4% of the Vervaeck Index and 100.8 of the Average Numeric Index. So the index which had the largest range of normal values from the same subjects, was the BMI, then the Rohrer Index, and finally, the Vervaeck Index in that order. 3. In the result of sorting bodies with silhouettes, when drop value were used to sort, N type (normal somatotype) was 69.4%, H type (one has similar sizes in waist size and hips) was 20.4% and A type (one has big hips) was 10.2% in that order. Among people in their early 20s, A type was 12.1%. H type was high, 22.8%, among women in their late 20s. When Sinozaki's method of classifying body types was used, ideal somatotype was 86.6%, A type was 7.4%, I type was 5.6% and X type was 0.5%. Women in their late 20s showed higher rates of ideal somatotype, the rates of A type and I type were lower than women in their early 20s.
Two hundreds of female aged 19 years old and up were recruited to evaluate the postural changes and bilateral variation of asymmetry over age. To find out the differences among the age group, subjects were classified into 5 groups, early young age(19-29), late young age(30-39), early middle age(40-49), late middle age(50-59), and old age(60-). 35 body measurements were taken by the 3-D body scanner which allowed us to take measurements which cannot be measured using traditional methods, including the shape of a cross section, slice area surface are, and volume. Bilateral variations were observed as a function of age; Depth of scapular point level, scapular point to center back, and blade angle. Postural change of anterior cervical angle, upper anterior thoracic angle, upper posterior thoracic angle, posterior cervical angle, and center back/center front ratio were also exhibited. In each measurements, subjects were classified into normal, and abnormal group. Percentiles of abnormal in shoulder line angle, blade angle, neck point $\∼$ acromial point $\∼$ scapular point, posterior cervical angle, and upper posterior thoracic angle were increased over age group. The upper body of lateral view was classified into 3 types of posture based on the previous research; straight, erect(leaning back), and stooped(bent forward). The percentiles of subjects who have straight postures were decreased as a function of age, but those of stooped postures were increased. Subjects who have erect postures did not so. The stooped posture group shows the big cervical fossa angle, anterior cervical angle, posterior cervical angle, upper posterior thoracic angle, and the small upper anterior thoracic angle comparing to the straight and erect posture group. These results could be apply for clothing construction reflecting the changes in back, shoulder, neck, and the bilateral asymmetry according to the target age group.
The purpose of this study is to classify the upper body of women into several kinds of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 53 females 30 to 39 years-old. Fifty-three anthropometric data are measured per shell of bodysurface; six somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score as an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows: 1. The number of the factors which explain the somatotype is six and those factors comprise 76.12 percent of total variance. Factor 1: related to the size of shape in the front of upper body Factor S: related to the size of shape in the back of upper body Factor 3: related to the type of the upper chest over the chest circumference line Factor 4: related to the length of·the upper body Factor 5: related to the part of the neck Factor 6: related to the type of the lower chest under the chest circumference line 2. Cluster analysis results in classification of upper body into five clusters. Cluster L: the length is the largest and the circumference is small. The part of waist is the largest and widest among surface areas. Cluster 2: Slender body line from chest to waist is characteristic. The length is longer. The part of upper and lower chest is larger among surface areas. Cluster S: the circumference is the smallest and armhole is small. The length and surface area are small. Cluster 4: the circumference and armhole is the largest. The length is the smallest. Cluster 5: the circumference is average and the length is a little long. The body line(silhouette) from chest to waist is curved slightly.
This study is to classify somatotypes of the upper class boys in elementary school. The study is conducted through anthoropometric measurements and photometric measurements. The subjects are 320 boys in the age group of 10 to 11 years old. The following conclusions are drawn from this study. 1. The height items are increased along with age increase. The increases in the factors, which specify vertical sizes such as height and length, are a little larger than those of breadth, depth, and girth, which specify ; horizontal sizes. 2. The factor analysis on anthropometric measurements and photometric measurements reveals five somatic composition factors and those factors comprised 79.60% of total variance. 3. The torso shapes of the upper class boys in elementary school are classified into three categories. The first type is taller and heavier than the average elementary school upper class boys and has the highest rising shoulders. The shape of the back is about average and the chest is developed above average. The curvature of the lower back is gentle and lower abdomen protrudes the most of the three types. The second type is tall and slightly heavier than average and shoulders are raised a little. The shoulder blades protrude about average and the curvature of lower back is the most developed of all. The cheat is developed about average and the abdomen is a little protruding. The third type is the most common with the smallest height of the three and skinny with dropped shoulders. The chest is somewhat flat and the shoulder blades protrude about average.
The purpose of this study was to analyze the somatotypes of women in the early 20's, which were likely to deform due to bad posture in growth period. Accordingly, bodies of women aged 20 to 24, whose growth stopped, were measured directly and indirectly, and factors related to body shapes were extracted, body shapes were categorized based on the data, and the characteristics of each body shape were analyzed. As a result, 10 factors related to body shapes were extracted in the factor analysis, and body shapes were categorized into 6 types. Type 1 was the volume of body that was big and the longest; and the general frame was large. The straight body shape with small back protrusion; the shoulder is relatively thick and the width of the shoulder was normal. Type 2 was the volume of body that was the biggest and the upper body was the longest; the general frame was of average height. The forward body shape with the back flat; the shoulder was very thick, wide, and serious leaning forward. Type 3 was a body that was thin and the shortest. The sway-back body shape with big curvature at the back; the shoulder was thin, narrow, and straight. Type 4 was a body that was short stature, and the general frame was of average build. The forward body shape with the most serious back protrusion; the shoulder was normally thick, narrow, and straight. Type 5 was a group with small body, and the lower body and general frame are long. The sway-back body shape with protrusion at the upper shoulder and the sides leaning backward; the shoulder was thin, wide, and leaning forward. Type 6 was a thin and short body; and the general frame was small. The lean-back body shape with the smallest back protrusion and leaning backward; the shoulder was thin, narrow, and leaning backward. Characteristics of the classified body shapes can be used in producing ready-made clothes, and it is hoped that there will be follow-up studies on clothing pattern design and production based on this result.
The purpose of this study is to classify the upper body of women into several kind.; of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 50 females 20 to 29 years-old. Fifty-one anthropometric data are measured per shell of body surface : eight somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score a.: an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows : 1. The number of the factors which explain the somatotype is eight and these factors comprise 81.63 percent of total variance. Factor 1 related to the degree of fatness in the front of upper body Factor 2 related to the degree of fatness in the back of upper body Factor 3 . related to the length of the upper body Factor 4 : related to the type of the upper chest over the chest circmference line Factor 5 : related to the armhole and neck Factor 6 : related to the type of lower chest under the chest circumference line Factor 7: related to the part of the back shoulder Factor 8: related to the depth of front neck and side dart of front independently 2. Cluster analysis results in classification of upper body into five clusters. Cluster 1 : the of circumference i.: lager and that of length is longer than the average The louver part of chest is the lagest and widest among surface areas. Cluster 2 : the circumference is the smallest , the length and surface area are small. The upper and lower chest is small Cluster 3 : the length and surface area are the smallest , the circumference is average. The body line (silhouette) from chest to waist is curved slightly.
This study was to research the characteristics of the somatotype of Korean farmers. 836 Korean farmers(Male: 361 persons, Female: 475 persons) volunteered for this study. They volunteered from 9 different area such as Kumi, Damyang, Iksan, Injae, Chungju, Choongju, Haman, Whasung, and Whasoon. The reusults were as follows: 1. The subcutaneous body fat thickness were decreased as they aged(p<.05). 2. The thicker the subcutaneous body fat thickness of Korean farmer, the wider the circumference size by the Korean famer's physical parts(p<.05-p<.001). 3. There were no significant differences in the circumference size such as upper arm, chest, bust, waist, umbilical waist, hip, and calf between Korean farmers and Korean standard size. 4. Korean women farmer showed significantly differences in the upper arm circumference(p<.01), the chest circumference(p<.01), the bust circumference(p<.01), the waist circumference(p<.01), the umbilical waist circumference(p<.01), and the calf circumference(p<.05) from Korean women standard by ages. Especially, Korean women farmer had thicker the umbilical waist circumference(the 40's: 103.2mm, the 50's 52.3mm, the 60's 22.3mm, over 70's 22.1mm) than Korean women standard. 5. The 40's women farmer had thicker the upper arm circumference, the chest circumference, the bust circumference, the waist circumference, the umbilical waist circumference, and the calf circumference than Korean women standard. The 70's women farmer had skinner circumferences except the umbilical waist circumference than Korean women standard. 6. Korean farmers showed the crooked back shape, the broad-knee length and also front-bending knee shape as they aged.
Purpose: Somatotype drawing developed by Sorensen et al.(1983) has been evaluated as a simple instrument of obesity level without real somatic measuring as height and weight. This study was designed to validate somatotype drawings for obesity assessment by bioelectrical impedance body component analysis. Method: At first questionnaire of somatotype drawing was done. Subjects were measured body component by bioelectrical impedance analysis as weight, BMI(body mass index), WHR(waist-hip ratio), body water, protein mass, mineral mass, body fat mass, skeletal muscle mass, soft lean mass, fat free mass and percent body fat. We evaluated correlations between these data and somatotype drawings and tried to grouping of somatotype drawings with the means of major body component value. Result: The data were collected from 205 college women whose height and weight were $161.2\pm4.8,\;55\pm8.3$. Spearman's correlation coefficients of somatotype drawing were 0.74 with BMI, 0.68 with weight 0.69 with body fat mass, 0.65 with WHR. 0.64 with percent body fat after adiusted age. The grade of somatotype drawings were grouped as 1-2, 3-4, 5-6. 7-9 by BMI, body fat mass, weight, 1, 2-4, 5-6, 7-9 by WHR and 1-2, 3-4, 5-9 by percent body fat(ANOVA and Duncan's method). Conclusion: So quick instrument using somatotype drawings were useful tools for evaluation of obesity level and is applicable to screen degree of body fat in self-administered questionnaire survey.
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