• International Journal of Safety
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• v.10 no.1
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• pp.32-35
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• 2011

Lifting capacity and difficulty of task are influenced by body posture. In RULA and REBA, the body was divided into segments which formed two groups, A and B. Group A includes the upper and lower arm and wrist while group B includes the neck, trunk and legs. This ensures that whole body posture is recorded so that any awkward or constrained posture of the legs, trunk or neck which might influence the posture of the upper limb. This study aimed to measure MVC (maximum voluntary contraction) and subjective judgment in psychophysical method (Borg's scale) according to trunk and upper arm angle and to analyze results statistically. The results of this study were that lifting capacity was more influenced by interaction of body posture rather than angles of each part, and MVC variation according to trunk and upper arms angles should different patterns. This means that we consider the interaction of trunk angles and upper arm angles when we access risk factors of the postures. This survey would be also the basic data to evaluate difficulty of lifting tasks according to body postures ergonomically.

• Korean Journal of Community Nutrition
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• v.4 no.2
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• pp.157-165
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• 1999

This study was conducted to identify the determinants of regional body fat distribution of obesity(upper body obesity and lower body obesity) for adolescents. The macronutrient consumption pattern utilized the most important variables to test for potential determinants. A total of 726 adolescents living in rural areas in Korea had been observed for four years from 1992 to 1996 about their diet, sexual maturation, serum components and physical growth. The study design was similar to that of a case control study. Logistic regression analysis were used as an analytical method to identify the determinants of upper body obesity and lower body obesity. Odd ratios were estimated from the regression to identify the determinants of upper body obesity and lower body obesity. Odd ratios were estimated from the regression to identify the risk factors. Fat consumption pattern was the most frequent one among the three macronutrient consumption pattern of carbohydrate, fat and protein. Prevalence of obesity for the subjects was 9.5%. Prevalence of upper body obesity was higher in malestudents than in female students. On the other had, prevalence of lower body obesity was higher in females. The results of the logicstic regression analysis showed that the risk factor for upper body obesity was sexual maturity rather than dietary factors. None of the factors included in the analysis for lower body obesity appear to be the risk factor. The result may suggest that to develop a determinant model for obesity of adolescents, the model should include a wider range of variables other than diet, sexual maturity and changes in blood serum.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.4
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• pp.726-736
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• 2018

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.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.95-108
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• 2018

This study analyzed the body shape of the body of 17~19 years old female students using the SPSS 20.0 statistical program according to the 7th Korea Human Body Survey. Factor analysis was based on six factors including body size, body height, shoulder length, and width, upper body length, hip length, and shoulder inclination related factors. Through this cluster analysis, the body shape of late adolescent female student was classified into four types. Body type 1 was the highest body height factor, and the upper body length and the hip length factor were lower. It was analyzed as 'Long leg in the body'. Body type 2 is the 'narrow shoulder skinny type' with high hip and shoulder slope factors and low body size, body height, shoulder length, and width factor. Body type 3 showed body size, shoulder length, height and hip length factor, and body height factor was rather low 'low hip obese body shape'. Body type 4 was analyzed as 'lower shoulder long upper body type' with higher upper body length factor and lower body size and shoulder slope factor. It is thought that when the pattern is made, it is possible to produce excellent patterns by fitting the dimensions of the body, as well as the dimensions of the shoulder width, the slope, and the hip length.

• Fashion & Textile Research Journal
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• v.8 no.3
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• pp.310-316
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• 2006

Fitness of clothes becomes a major concern in apparel industry. But male sports athletes had difficulties to buy ready-made clothes of good fit. Because ready-made clothes manufactured in companies are produced accordingly to the general person's body types. To solve this problem, it is necessary to classify athletes' upper body into several kinds of somatotypes. The purpose of this study was to classify upper body types of male sports athletes based on the analysis of their upper body types and to provide fundamental data on the development of ready-to-wear clothing appropriate for the upper body types. The subjects for anthropometric measurement were 189 male sports athletes of 20 to 29 year-old. The result of factor analysis indicated that 6 factors were extracted from anthropometric measurements through analysis and those factors comprise 73.807% of total variance. 3 clusters were categorized using 6 factor scores by cluster analysis. Type 1 was taller than other types, had average size in circumference, width and thickness and was bending somatotype. Type 2 exhibits a large circumference in the upper body and straight somatotype. Type 3 was characterized by short, exhibits a large circumference in waist, abdomen and hip and swayback somatotype.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.5
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• pp.930-942
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• 1996

This study was done to provide the characteristics of body surface changes at armhole area. Experiments were carried out at upper arm and upper body inchuding 67 items, 74 segments by the stanard posture and arm movements. The subjects were 15 females of twenty aged. The major conclusions of this study are; 1. On the circumference items of upper arm, armhole circumference was decreased by all arm movement, especially high contracted on front armhole line. The most contracted segments of armhole circumference were from the shonlder point to front and back interscye breadth point. Axillary circumference was increased 5 cm to the utmost, so the function of sleeve pattern would be decided by axillary circumference. 2. The lengths of upper arm were decreased near center line, sleeve cap length was contracted 3∼4 cm. Posterior armpit point area was increased both length and breadth. According to the rates of expansion and contraction, the diagram of expansion and contraction of upper arm was suggested. 3. On upper body, back side chest breadth was increased exceedingly and shoulder length was decreased most. It was apparent that surface changes of upper body were greatly larger as far away from center front and center back line. The rates of expansion and contraction of upper body were also represented as a diagram of surface changes.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.6
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• pp.864-875
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• 1999

This study was done to classify type os arms and to correspond these types with partial somatotype of upper body such as lateral views of upper body shapes of shoulder. The subjects of this study were female college students of twenties 58 anthropometric and photographic data were measured. The results were as follows : 1. Form the factor analysis arm girth/armscye size factor arm length factor the slope of lower arm, arm factor the curves of armscye the roundness of arm/shapes of shoulder the slope of upper arm factor were obtained. 2. By using factor scores 4 clusters of arm types were extracted. The characteristics of these clusters were projections of armscy slant of lower arm thick-set canelike. 3. Four types of arm were corresponded with the specified lateral views of upper body directions of shoulder slopes of shoulder.

• Fashion & Textile Research Journal
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• v.2 no.4
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• pp.300-307
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• 2000

The purpose of this study was to classify and analyze the body type of obese boys who are school year for 9 to 11 years. A total of 49 body measurements were collected for this study including both direct and indirect measurements (33 variables from the direct anthropometric data, 16 variables from the indirect anthropometric data). Data from anthropometric measurement were analyzed using descriptive, factor and cluster analysis. The obese boys investigated in this project were in the category of average height 146.31 cm, weight 52.17 kg. The values for the study were compared to values from the National Anthropometric Survey of Korea. As the result of factor analysis for the classification of body type, 6 factors were extracted from all items. The first was transverse size of upper body, also, the second was its longitudinal size. The third was thicknesses of front and back at side views. The fourth was shoulder shape. The fifth was upper body angle factor. The sixth was upper body length. The body form was classified with cluster analysis, using factor score. The shape of the body was classified in 3 types.

• Journal of Nutrition and Health
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• v.25 no.3
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• pp.221-232
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• 1992

This study was intended to figure out the interrelationship among body fat distribution serum insulin and lipids levels. One hundred forty four adult female from Chinju area were participated in this study. The survey was conducted between December 17, 1990-February 27, 1991, . The results are as follows : Wiast/hip girth ratio(WHR) and waist/thigh girth ratio(WTR) were increased with age and positively correlated with body mass index(BMI). It appeared that the prevalence of obesity in terms of BMI was higher in upper body type than intermediate or lower body type women. Correlation analyese indicated that serum triglyceride level seemed to be more closely associated with BMI and other body fat distribution indices. Analyses of the anthropometric data serum lipids and insulin were carried out by dividing the sample into three body type groups-upper body type women(WHR$\geq$0, .87) intermediate body type women(0.82$\leq$WHR$\leq$0.86) and low body type women(WHR$\leq$0.81) Age weight BMI RBW percentage of body fat serum insulin triglyceride cholesterol level of upper body type women were significnatly higher than that of intermediate or lower body type women(p<0.05) HDL-cholesterol was significantly lower in upper body type women. These results suggested that body fat distribution would be relevant to chronic metabolic diseases.

• Fashion & Textile Research Journal
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• v.8 no.1
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• pp.107-112
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• 2006

This study is done to classify the upper body shapes for late elementary schoolgirls. The sampling was done for 11~12 years-old-girls resident in Busan and Kyungnam. Based on the somatometric charateristics of them, 33 anthropometic and 7 photogrphic measurment data were acquired from every girl. These data are statistically analyzed with the following methods; Factor Analysis, Cluster Analysis, and Discriminant Analysis. Resulting from the factor analysis, it is shown that 79.95% of the whole variances can be explained with 8 factors. Through the cluster analysis, 3 types of upper body shapes can be categorized as follows: Type I has average horizontal size, big vertical size and lots of protruded chest ; Type III has big horizontal size, the mean vertical size, and big upper angle of the back ; Type II has small horizontal and vertical size and long surface length of the upper body. Through the discriminant analysis, the high discriminative items in discriminant function are follows: Upper chest circumference, arm length and waist front length of discriminant function I and waist depth, front length, back breadth, nipple to nipple breadth and upper chest circumference of discriminant function II have large coefficient values.