The purpose of this study was to classify body type for ready-to-wear sizes. The subjects were 300 women ages of 18-24. they were measured direct anthropometry. The body types for sizing system were divided by Rohrer Index. KS drop value and ISO drop value. The results of this study were as follows. 1. By adapting the Rohrer Index. we classify 3 types from anthropometric measurements. The thin type covered 39.3%, the standard type 51.0% and the obesity type 18.7%. The characteristics of clusters were as follows. Thin type was characterized by tall. slender type and slim. The standard type was characterized by middle sized. The obesity type was characterized by short. fat type. and large bust. 2. By adapting the KS system drop value. we classify 3 types from anthropometric measurements. The H type(drop 0) covered 25.6%. the N type(drop 6) 65.2% and the A type(drop 12) 9.2%. Type H was slightly tall large bust. and curved from waist to hip. Type A was slightly thin. large hip and smaller bust than type N. Principal factor components were bust size. The height could be divided into three groups. The Petite(l50cm) covered 5.5%. the Regular(l60cm) 64.7% and the Tall(l70cm) 29.8%. Through the crosstab of height and body type. we extracted regular height by N type 46.2% the largest cell. The body type was the higher order of N type. H type and A type. The tall was the higher order of Regular. Tall and Petite. 3. By adapting the ISO system drop value. we classify 3 types from anthropometric measurements. The H type(drop 0) covered 15.0%. the M type(drop 6) 41.0% and the A type(drop 12) 44.0%. Type H was slightly short. slightly fat and large bust. Type A was slightly tall. slight thin than type M. The height could be divided into three groups. We adjust the height section after allow for height distribution. The Short(152cm) covered 12.8%. the Regular(160cm) 66.9% and the Long(168cm) 20.3%. Through the crosstab of height and body type, we extracted regular height by M type 29.3% the largest cell. The body type was the higher order of M type, A type and H type. The tall was the higher order of Regular, Long and short.
A precise understanding of the human form in static pose serves as the basis of designing clothing. When the human body is in motion, however, even an article of clothing designed to fit the human form in static pose can pull and change, thus restricting the body. In order to increase the fit of the clothing, which may be termed the second skin, its form and measurements therefore must be determined in correlation not only with the formal characteristics of the human body, in static pose but also with its functional characteristics in motion, as caused by the movements of the human body. In this study, the motion factor was selected as the primary basis for designing slacks with good fit in both static and moving states. By indentifying the areas in which lower limb movement cause significant changes in body surface lines, we suggest several application methods for designing slacks. Using unmarried female university students aged 18 - 24 as subjects, a total of 32 body surface categories (15 body surface lines and 17 body surface segment lines) were measured in one static and 9 movement poses. In particular, expansion and contraction levels and rates were measured and used in the analysis. The analysis first involved the calculation of the average measurement per body part in body surface line in static pose as well as of the average expansion and contraction levels and rates in 9 lower limb movements. Two-way MANOVA and multiple comparison analysis (Tukey) were conducted on movements and individual somatotypes regarding measurement per body part and expansion and contraction rates. Body parts whose measurements of body surface lines differed significantly in body surface line in static pose versus in movement were then identified. The results of this study are as follows. First, changes in body surface lines caused by lower limb movements were significant in all body surface lines of the lower trunk, both horizontal and vertical, with the exception of abdomen girth, midway thigh girth, ankle girth, hip length, and posterior knee girth. Second, significantly expanded 10 body surface lines in moving pose were detected and illustrated in table 4. These body parts should be studied in designing or pattern designing, especially for close-fitting pants, in using stretch fabric, and in sensory evaluation of good fit during movement.
This study focused on the body composition of Korean Basketball Players in Dual X -ray Absorptiometry. The principal subjects of this study were 10 Basketball Players who participated in the process of Dual Energy X -ray Absorptiometry at K.H. University Hospital for 8 months from Sept. 1. 1996 to April, 30. 1997. On the basis of the these measurements, the authors calculated physical indices and total fat percent. On the results of bone densitometry, the author analyzed body fat weight, body composition according to body position, bone mineral density and discerned the difference between the fatness which was calculated indirectly and which gained from the bone densitometry. 1. General Characteristics The mean age of the subjects was 20.4$\times$1.35 year. 2. Physical. Measurement The mean physical growth and development of the subjects were superior to standard value of the average Koreans 3. Body Fat by Physical Measurement Body surface area was 2.019$\times$0.111$m^2$, body volume was 74.4$\times$7.2$\ell$, body density was 1.041$\times$0.007$\ell$/kg, and body fat percent was 24.9$\times$2.9%. 4. Body Fat by Bone Densitometry Total body fat percent was 15.17$\times$2.19% and according to body position that of upper limb was 1.62%, that of lower limb was 5.55%, that of trunk was 7.06% and that of head was 1.05%. There was significant difference between the amounts of body fat from the methods used in this study; that from physical measurements and from bone densitometry method could be said most desirable. 5. Body composition According to Body Position Trunk was highest at 46.7%, lower limb was 36.0%, upper limb was 10.6%, and head was 6.7% in order. 6. Bone Mineral Content and Bone Density In bone mineral amount by body position, that of upper limb was 466.9$\times$46.4g, that of lower limb was 1,424.1$\times$154.0g, that of trunk was 1,343.0$\times$150.3g, and total bone mineral content was 3,786.8$\times$348.4g(4.78$\times$0.13%). Bone mineral density by body position, that of upper limb was 0.758$\times$0.072g/$\textrm{cm}^2$, that of lower limb was 1,342$\times$0.095g/$\textrm{cm}^2$, that of trunk was 1,169$\textrm{cm}^2$0.082g/$\textrm{cm}^2$, that of head was 1,742$\times$0.154g/$\textrm{cm}^2$ and total bone mineral density was 1,204$\times$0.077g/$\textrm{cm}^2$.
This study determined how the upper body shape of elderly women changes with age in order to improve the fit of clothing worn by elderly women. Thirty-nine healthy elderly Japanese women had their body measurements taken by measuring tape and a 3D body line scanner (Hamamatsu Model #C9036-02) from December 2011 to March 2012 at a university in Tokyo. It was found that the shoulder line shortens in women between the ages of 70 and 74, but that the upper arm lengthens in women between the ages of 75 and 79. It was also found that the upper part of the scapular area rolls forward in women between the ages of 70 and 74, and that the point of the back which protrudes the most-the lower scapular area-rolls forward in women between the ages of 75 and 79. The results will be helpful for designing clothes for elderly women as their body shape changes with age.
This study was intended to figure out the difference of the blood lipids, insulin and nutrients intake by fat distribution among the obese young male in Korean. Twenty-eight male college students participated in this study, whose to find out body fat distributions were classified on the basis of Waist /hip ratio (WHR) into three groups-upper body type (UBTM), intermediate body type(IBTM) and lower body type (LBTM). To conduct this study, anthropometric measurements , blood pressure, serum lipids and insulin levels, and daily nutrients intake were analized . The results are as follows : The three body type groups showed significant differences each other in waist circumference(p<0.05), WTR(p<0.001) and body fat percentage (p<0.05). Also they showed significant difference each other in the daily construction in the daily energy intake. But they did not show significant differences in the blood pressure, serum lipids and insulin levels. From the above results, we could concluded that the body fat distribution in obese the young men could affect nutrients intake pattern.
The rapid technology developments in smartphones have created a significant opportunity for their use in structural live load measurements. This paper presents extensive experiments conducted in two stages to investigate this opportunity. Shaking table tests were carried out in the first stage using selected popular smartphones to measure the sinusoidal waves of various frequencies, the sinusoidal sweeping, and earthquake waves. Comparison between smartphone measurements and real inputs showed that the smartphones used in this study gave reliable measurements for harmonic waves in both time and frequency domains. For complex waves, smartphone measurements should be used with caution. In the second stage, three-dimensional motion capture technology was employed to explore the capacity of smartphones for measuring the movement of individuals in walking, bouncing and jumping activities. In these tests, reflective markers were attached to the test subject. The markers' trajectories were recorded by the motion capture system and were taken as references. The smartphone measurements agreed well with the references when the phone was properly fixed. Encouraged by these experimental validation results, smartphones were attached to moving participants of this study. The phones measured the acceleration near the center-of-mass of his or her body. The human-induced loads were then reconstructed by the acceleration measurements in conjunction with a biomechanical model. Satisfactory agreement between the reconstructed forces and that measured by a force plate was observed in several instances, clearly demonstrating the capability of smartphones to accurately assist in obtaining human-induced load measurements.
The purpose of this study is to provide for some basic data useful to production of the apparels fit and measured well for the Chinese men. For this purpose, Chinese men's apparel measurements and specifications were determined per area group(Beijing/ Shanghai) according to the Men's Wear Specifications (GB/T 1335.1-1997), National Standards of People's Republic of China. The collected data were statistically processed using SAS 6.12 for technical statistical analysis, correlation analysis, factor analysis, group-wise analysis and ANOVA. The results of this study can be summarized as follows; 1. As a result of dividing the Chinese men into Beijing and Shanghai men and thereby, setting height and upper chest circumference for upper garments and height and waist for lower garments. 2. Analyzing the correlations according to the three-fold classifications of height/upper chest circumference/waist for garment specifications, 17 specifications based on heights and upper chest circumferences for Beijing men's upper garments could be designed within the deviation level of 2%, while 15 specifications based on waist measurements could be designed (between $70{\sim}98cm$) for their lower garments within the deviation level of 4%. Thus, a total of 60 combinations of the specifications could be obtained. 3. 16 specifications based on heights and upper chest circumferences for Shanghai men's upper garments could be designed within the deviation level of 2%, while 16 specifications based on waist measurements could be designed (between $68{\sim}98cm$) for their lower garments within the deviation level of 3%. Thus, a total of 56 combinations of the specifications could be obtained. For other reference measurements, grading measures were set for each type and body part, while the average measures of major body parts were calculated.
Purpose: The purpose of this study was to define the relation of the degree of menton deviation and 3-D CT (computerized tomography) measurements of the glenoid fossa and the mandible, which are considered to have an influence on menton deviation. Methods: The CT images were obtained in 60 adults and these were transmitted to a computer and reconstructed using computer software. According to the degree of the menton deviation, which was measured on the posteroanterior cephalogram, the subjects were divided into the menton deviated group (30 adults) and the symmetry group (30 adults). A total of 11 measurements that might have an effect on menton deviation were determined and these were measured in the right and left sides using the function of 3-D measurement in the computer program. The 11 measurements consist of 6 measurements in the glenoid fossa (vertical position of the glenoid fossa and articular eminence, the sagittal position of the glenoid fossa and articular eminence, the depth of the glenoid fossa, and the anterior angle of the glenoid fossa), and 5 measurements in the mandible (ramus length, frontal ramal inclination, lateral ramal inclination, body length, body height). Results: The comparison of the differences between the menton deviated and symmetry groups and correlation analysis on the degree of menton deviation were carried out. The results of comparison of the right and the left difference between the menton deviated and symmetry groups showed that the vertical position and depth of the glenoid fossa were significantly increased in the menton deviated group. Conclusion: The results of the present study show that consideration of the shape and position of the glenoid fossa is necessary for making the diagnosis and administering proper treatment in facial asymmetry patients and especially growing patients.
The purpose of this study was to develop a new size range and size interval for early adolescent girls. For this purpose, a total of 529 girls aged between 10 and 14 were measured and data were collected from 42 anthropometric measurements and 41 photographic measurements per a person. SAS 8.1 was used in data analysis including means, standard deviations, and frequency analysis. The stature was divided at 5cm intervals as in KS into 9 sizes from the lowest 130cm to the highest 171cm. If waist circumference were divided at the same intervals, the sizes cannot reflect the body growth of adolescent girls at these ages. Thus this study set intervals between sizes irregularly based on the mean of waist circumference by the type of body shape. Based on the results, this study proposed: for Type A - 6 sizes (140A-58, 145A-54, 145A-62, 150A-58, 150A-62, 155A-62); for Type X- 9 sizes (150X-59, 155X-63, 155X-66, 160X-59, 160X-63, 160X-66, 165X-59, 165X-63, 165X-66): and for Type H - 7 sizes (145H-68, 150H-68, 150H-70, 155H-68, 155H-73, 160H-68, 160H-73). For the sizes selected for each type, reference measurements were decided - centering on items necessary for manufacturing clothes. Reference measurements suggested for lower garments 8 items including waist circumference, hip circumference, slacks length and crotch length. The suggested sizes are distributed in a wider range, so they are considered to be helpful for students to find clothes fitting their bodies.
Body fat proportion is a major issue in health. The prevalence of obesity in childhood has been increasing on thesedays. A series of indirect estimates of body fat have been developed. There are hydrodensitometry, BIA and anthropometry equation for body fat. Hydrodensitometry has been regarded as a common criterion method. BIA made it possible to analyze body fat mass more related to hydrodensitometry than anthropometry. The purpose of this unvestigation were to compare body fat and other body composition between boys & girls and to know which anthropometry equation for body fat was most closely associated with BIA in boys & girls respectively. The subjects were 148 4th grade elementary school students(male:70, female:78). They underwent BIA(InBody 3.0, Biospace Korea)to determine body fat and other body composition. Anthropometric measurements were taken of height, weight, skinfolds and circumferences. The results obtained are summarized as follow: 1) Weight, BMI and Rohrer index were $39.9{\pm}7.2kg$, $20.5{\pm}8.0$, $138.2{\pm}17.0$ for boys and $35.9{\pm}6.7kg$, $18.2{\pm}2.6$, $96.6{\pm}13.6$ for girls. 2) Total body fat and percent body fat determined by BIA were $10.3{\pm}4.3kg$, $25.4{\pm}6.6%$ for the boys group and $9.3{\pm}3.8kg$, $25.1{\pm}6.0%$ for girls. 3) Mean triceps skinfold thickness was $20.5{\pm}6.1mm$ in boys, $17.0{\pm}5.1mm$ in girls and mean WHR was $0.88{\pm}0.4$ in bodys, $0.82{\pm}0.4$ in female and the values were significantly different by sex. 4) Correlational nanlyses showed that estimation of body fat by BIA measurement seemed to be closely associated with Rohere index(boys r=0.854, girls r=0.909). Kim's equation was highly correlated with the body fat in girls(r=0.910) but less correlated in boys(r=0.710). We need to develop specific anthropometric equations based on age and sex to determine body fat for children.
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