The nutritional status of 125 preschool children(Female : 56, Male : 69) residing in low income area of Seoul was surveyed. The mean family size was 4.3 and the mean monthly income was 921,000 won which was below the poverty level. Average heights of boys aged 3, 4, 5 and 6 were 98.6cm, 106.1cm, 111.9cm and 116.0cm and those for girls were 99.4cm, 106.4cm, 110.9cm, and 116.0cm, respectively. There was no significant difference between the height of boys and girls. The proportion of children showing stunted growth(<90% of Korean standard of height) was 3.2%. The mean weight of boys for each age group(3, 4, 5, 6) were not significantly differient from that of girls. The proportion of children assessed as moderately underweight (<80-90% of Korean Standard of weight) was 10.4% and 3.2% of children was underweight(<80% of weight standard). The group of children aged 3 were taking adequate energy, whereas the mean energy intake of children aged 4.5 and 6 were within 77.3-78.6% of RDA. The proportion of energy derived from carbohydrate, fat and protein was 60.1%, 24.6% and 15.3%. The high proportion of energy derived from fat seems partly due to high energy intake from fat in the snack. The nutrients which did not meet 75% of the RDA were vitamin A and calcium for children aged 5, and iron for children aged 3 to 5. Carbohydrate intake was positively correlated with the height, weight and girth of chest(P<0.05-P<0.001). There was positive correlation between protein intake and weight, girth of chest and BMI, respectively(P<0.05). Iron intake showed positive relationship with height, weight and BMI(P<0.05).
The purpose of this study was to apply the three dimensional Replica method to the fabrication of dress forms of plus-sized women to attain proper ease through draping and based on the ease to develop good torso patterns with superior fit. The results were as follows. The physical characteristics of the dress forms of plus-sized women were divided into two: Types I and 11. The proper ease was calculated through draping using dummies of each somatotype and appropriate torso patterns were developed. The differences of the types for each pattern were as follows. The bust girth ease of Type II was 6cm as for Type I. As for the bust breadth 1.0cm was added to the anterior chest width, the armpit width was the actual measurement plus 0.5cm, and the back breadth was the posterior chest width plus 2.5cm. The bust breadth was smaller and the back breadth was bigger that those of Type I after improving the bust and back fit. The bust of Type I protrudes outwards relatively and so the shoulder dart of front-side of Type I was 1.2cm bigger than that of Type II which improved the bust region fit. Considering the characteristics of the protruding abdominal region the front- side waistline of type II was assigned W/4+3.5cm and the back-side waistline W/4cm, so that the sidelines divided the front and back properly. It was drafted so that the center-front became diagonal, thereby improving the middle-hip girth fit.
This study tries to show the physical growth patterns and various adolescent characteristics by using longitudinal data for the height, weight, chest girth and sitting height of 1, 132 high school students in Seoul. And this study also tries to show what influencing factors on the physical growth of this aged population. The followings are the results. 1. The boys have their peak velocity of height when they are 12~13 years old. And the girls have when they are 10~11 years old. Peak velocity of weight for boys is at the age of 13~14. And for girls is at the age ofr11~12. Peak velocity of chest girth for boys is at the age of 12~13. And for girls is at the age of 11~12. Peak velocity of sitting height for boys is at the age of 13~14. And for girls is at the age of 11~13. So girls of this period grow more rapidly by around two years than boys. 2. The menarche of girls begins at the age of 12.4. So it begins 1.4 year before peak height velocity period. 3. Of life behavior boys contingency coefficient between essential time and height and weight is .5150 and .479 5, that between studying time and height and weight is .3344 and and .2912(In case of girls is .4735, .4321, .3247, .3134).
For the purpose of ascertaining the status of physical growth and development of the University students, an intensive survey was conducted by the authors towards a total of 2,197 (male: 1,694, female: 503) who passed the written enterance examination at the Korea University in 1972. The items included the measurements on physical growth, various physical indices, status of visual distourbance and pulmonary infiltration. The findings and results can be summarized as follows. 1. Physical growth: The average of body height by sex were 167.2 cm in male and 156.0cm in female, body weight 59.3kg and 51.9kg, chest-girth 86.7cm and 81.2cm, sitting height 91.7cm and 85.8cm, respectively. 2. Various indices about physical growth & development; Relative body weight by sex were 35.47 and 33.27, relative chest girth 51.85 and 52.05, relative sitting height 54.84 and 55.00, respectively. $R{\ddot{a}}here$ index was 1,269 in males and 1,367 in females, Kaup index 2,121 and 2,133, Verveck index 87.32 and 85.32, respectively. 3. Status of visual distaurbance: The vision of the students under 0.9 with Han's testing chart was 52.83% and 55.27% in left eye and 53.60% and 54.87% in right eye, respectively. 4. Pulmonary infiltration Among the total 58 students were diagncsed as pulmonary infiltration (tuberculosis), of whom 43 were minimal case, 12 were moderately advanced cases and 3 were far advanced cases.
Lin, Min Jung;Chang, Shen Chang;Chen, Tzu Jou;Lin, Wei Chih;Peng, Shao Yu;Lee, Tzu Tai
Asian-Australasian Journal of Animal Sciences
/
v.33
no.9
/
pp.1455-1462
/
2020
Objective: The purpose of this study was to investigate whether goose growth and feather characteristics are influenced by their line and feeding surroundings, inclusive of floor materials and types, since there are no reports regarding these factors. Methods: The 240 White Roman geese which were hatched and sex identified came from 3 commercial goose farms. They were randomly distributed to 24 pens depending on a completely random design. The study continued for 13 weeks and included 3 lines of commercial geese and 2 floor types (cement strip floor [CSF] or cement floor [CF]). Results: The day one gosling weight from A farm was lower than other two farms (96 g vs 107 and 115 g; p<0.001). Afterwards, the body weight, back length, keel length, chest girth and main wing feather length among 3 farms showed no significance difference prior to 12 weeks. The CF group showed heavier body weight, shorter back length, longer keel length, shorter chest girth and shorter main wing feather length than the CSF group prior to 12 weeks. The down weight in the CF was heavier than the CSF group (57.1 g vs 41.8 g; p<0.01) prior to 13 weeks. Conclusion: The body weight showed the positive relations for dry feather weight (r = 0.59), down weight (r = 0.69), percent of the down weight of live body weight prior to 13 weeks (r = 0.61).
Seo, Kwang-Wook;Kim, Hyeon-Tae;Lee, Dae-Weon;Yoon, Yong-Cheol;Choi, Dong-Yoon
Journal of Biosystems Engineering
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v.36
no.1
/
pp.48-57
/
2011
The computer vision system was designed and constructed to measure the weight of a dairy cattle. Its development involved the functions of image capture, image preprocessing, image algorithm, and control integrated into one program. The experiments were conducted with the model dairy cattle and the real dairy cattle by two ways. First experiment with the model dairy cattle was conducted by using the indoor vision experimental system, which was built to measure the model dairy cattle in the laboratory. Second experiment with real dairy cattle was conducted by using the outdoor vision experimental system, which was built for measuring 229 heads of cows in the cattle facilities. This vision system proved to a reliable system by conducting their performance test with 15 heads of real cow in the cattle facilities. Indirect weight measuring with four methods were conducted by using the image processing system, which was the same system for measuring of body parameters. Error value of transform equation using chest girth was 30%. This error was seen as the cause of accumulated error by manually measurement. So it was not appropriate to estimate cow weight by using the transform equation, which was calculated from pixel values of the chest girth. Measurement of cow weight by multiple regression equation from top and side view images has relatively less error value, 5%. When cow weight was measured indirectly by image surface area from the pixel of top and side view images, maximum error value was 11.7%. When measured cow weight by image volume, maximum error weight was 57 kg. Generally, weight error was within 30 kg but maximum error 10.7%. Volume transform method, out of 4 measuring weight methods, was minimum error weight 21.8 kg.
Journal of the Korean Society of Clothing and Textiles
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v.35
no.12
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pp.1454-1465
/
2011
Menswear body types are often labeled on garments (to indicate how the garments are designed to fit) with indicators of a size category such as regular, portly, and stout, athletic, or big and tall. A drop (relationships between the chest and waist girths) is related to the fit of a tailored suit. However, current standards are not designed for various drops or body types. There is not enough information of categorizing men's body shapes for the apparel sizing systems. In this article, a set of men's data from SizeUSA sizing survey was analyzed to investigate men's body shapes and drops. Factor analysis and a cluster analysis method were used to categorize men's body shapes. In the results, twenty-five variables were selected through the factor analysis and found four factors: girth factor, height factor, torso girth factor, and slope degree factor. According to the factor and cluster analysis, various body shapes were found: Slim Shape (SS - tall ectomorphy), Heavy Shape (HS - athletic, big & tall, endomorphy and mesomorphy), Slant Inverted Triangle Shape (SITS - regular, slight ectomorphy and slight mesomorphy weight range from normal to slightly overweight), Short Round Top Shape (SRTS - portly and stout, endomorphy). Body shapes were related to fitting categories. SS and HS were related to big & tall fitting category. SITS was related to regular. SRTS was related to portly and stout. Shape 1 (31%) and Shape 2 (26%) were related to current big & tall category. Shape 3 (34%) were related to regular. Shape 4 (9%) were in portly and stout category. ASTM D 6240 standard was the only available standard that presented a regular fitting category. Various drops were found within a same chest size group; however, this study revealed great variances of drops by body shape.
This study develops a bodice pattern for high school girls aged 17 to 19 that use virtual garment simulation. The study developed a bodice pattern based on the fit evaluation result for two selected bodice patterns. The basic formula of the design method based on the result of 3 times of fit evaluation is as follows: waist back $length=stature/8{\times}1.85cm$, waist front length=waist back length+bust/40+0.7cm, front bust girth=bust/2+4cm, back bust girth=Chest/2+3cm, armscye depth=Chest/4+0.5cm, back interscye length=bishoulder length -1.2cm, front interscye length=back interscye length -1.2cm, front neck width=back neck width -0.3cm. The developed bodice pattern used Bishoulder Length as a criteria for the calculation formula of back interscye length, and back interscye length as a criteria for the calculation formula of front interscye length. The fit evaluation showed the relevance of the bishoulder length, front interscye length, and back interscye length based on a comparison of the calculated figure. A bodice pattern with great body suitability and fitness to high school girls was developed through 3D virtual garment simulation that calculated the application of body proportion to width. This study only analyzed the evaluation result of a virtual model only in a representative form; however, a pattern study is also proposed to compare and analyze the design methods of patterns by body type.
Objective: The objective of this study was to obtain (co) variance components and genetic parameter estimates for post-weaning body measurements such as body length (BL), height at withers (HW), and chest girth (HG) recorded at six (SBL, SHW, and SHG), nine (NBL, NHW, and NHG) and twelve (YBL, YHW, and YHG) months of age along with yearling weight (YW) in Nellore sheep maintained at livestock research station, Palamaner, Andhra Pradesh, India and also the association among body measurements with YW was studied. Methods: Data on 2,076 Nellore sheep (descended from 75 sires and 522 dams) recorded between 2007 and 2016 (10 years) were utilized in the study. Lambing year, sex of lamb, season of lambing and parity of dam were included in the model as fixed effects and ewe weight was kept as a covariate. Analyses were conducted with six animal models with different combinations of direct and maternal genetic effects using restricted maximum likelihood procedure. Best model for each trait was determined based on Akaike's information criterion. Results: Moderate estimates of direct heritability were obtained for the studied traits viz., BL (0.02 to 0.24), HW (0.31 to 0.49), and CG (0.08 to 0.35) and their corresponding maternal heritability estimates were in the range of 0.00 to 0.07 (BL), 0.13 to 0.17 (HW), and 0.07 to 0.13 (CG), respectively. Positive direct genetic and phenotypic correlations among the traits and they ranged from 0.07 (YBL-YW) to 0.99 (SBL-SHG, SHG-YW, and NBL-YBL) and 0.01 (SBL-YBL) to 0.99 (NBL-NHG), respectively. Further, the genetic correlations among all the body measurements and YW were positive and ranged from 0.07 (YW and YBL) to 0.99 (YW and SHG). Conclusion: There was a strong association of chest girth at six months with YW. Further, it is indicated that moderate improvement of post-weaning body measurements in Nellore sheep would be possible through selection.
This study was conducted to estimate the correlation structure between body size traits, carcass traits, and primal cuts in Hanwoo steers. Hanwoo progeny test data (body weight and body measurements) were collected from 2008 to 2010 from a total of 882 steers at the Hanwoo Improvement Main Center (NACF). Carcass traits considered were cold carcass weight, eye muscle area, backfat thickness, and marbling scores evaluated at the time of carcass grading. Correlation analyses were performed with observed scales of the traits and with residuals considering fixed environmental effects in generalized linear models. The correlation coefficient estimated between loin weight and chest girth was high at 0.74. The shank negatively correlated with pelvic width (-0.23) and hipbone width (-0.27). In addition, rib weight and chest girth was highly correlated (0.80). The correlation between carcass weight and chest girth was 0.86 in observed scale. Residual correlation between these traits was estimated at 0.65. Correlation between carcass weight and loin was 0.87 in the observed scale. Residual correlation was estimated at 0.83. The correlation coefficient estimated between shank weight and brisket and flank weight was negative at -0.69. Chest girth had a high correlation between primal cuts weight and body measurements. Thus, we believe that these results will provide a greater understanding on the relationship of primal cuts and other phenotypes, thus enabling valid production models for Hanwoo steers.
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