• Journal of Sasang Constitutional Medicine
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• v.19 no.1
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• pp.60-77
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• 2007

1. Objectives This is the comparative study with hand-operated measurement method and Automatic measurement method, in order to convert the automatic measurement method. 2. Methods We measured the body of patients(hand-operated Width 5 Places and hand-operated circumference 8 place,Automatic Width 5 and automatic circumference 8 place by 3D body measuring instrument) and analyzed the anthropometric data divding into sex&age. 362 patient's data are used in the analysis. 3. Results and Conclusions 1) 1th circumference variable which standing was not a sasang constitutional difference. 2) Diagnostic accuracy rate of the body measurement was 50-80%. 3) Diagnostic accuracy rate of man is higher than Diagnostic accuracy rate of women 4) Diagnostic accuracy rate of Automatic & hand-operated measuring was not a big difference.

• Herbal Formula Science
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• v.16 no.1
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• pp.169-183
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• 2008

In this study, we measured body mass index, visceral fat ratio and 6 parts of body, neck circumference, circumference of upper arm, chest circumference, abdomen circumference, hip circumference, and thigh circumference by bioimpedence analysis system, after taking Gyeongshingangjeehwan16 (GGEx16) in five months except the first period before taking GGEx16 on 49 women who are obesity or high-level obesity. In order to examine the significance test for the effect of obesity improvement of GGEx16, we practices repeated measure ANOVA with values of measurement variables in 6 monthly times. As a result of all measurement variables, there were significant difference (P-value=0.001). Therefore, we can say that GGEx16 is effective about obesity improvement. As it dramatically decreased between second measure period and first measure period for all measure variables, we can see that there were the most effect of GGEx16 in the first time after taking GGEx16. It is known that a important measurement variable to have a effect for obesity improvement about two variable which are body mass index and visceral fat ratio is waist circumference through correlation analysis. The result of whether there are differences to effect of obesity improvement for GGEx16 around the climacteric, there were significant difference for the effect of obesity improvement for GGEx16 around the climacteric about all parts of body (P-value=0.001). There were also powerfully difference in effect of obesity improvement for GGEx16 around the climacteric about all parts of body (P-value=0.001). Especially, the climacteric before is more effective than the climacteric after in the aspect of the effect of GGEx16.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.1-7
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• 2015

As a measure of health, the percentage of body fat has been utilized for many ergonomist, physician, athletic trainers, and work physiologists. Underwater weighing procedure for measuring the percentage of body fat is popular and accurate. However, it is relatively expensive, difficult to perform and requires large space. Anthropometric techniques can be utilized to predict the percentage of body fat in the field setting because they are easy to implement and require little space. In this concern, the purpose of this study was to find a regression model to easily predict the percentage of body fat using the anthropometric circumference measurements as predictor variables. In this study, the data for 10 anthropometric circumference measurements for 252 men were analyzed. A full model with ten predictor variables was constructed based on subjective knowledge and literature. The linear regression modeling consists of variable selection and various assumptions regarding the anticipated model. All possible regression models and the assumptions are evaluated using various statistical methods. Based on the evaluation, a reduced model was selected with five predictor variables to predict the percentage of body fat. The model is : % Body Fat = 2.704-0.601 (Neck Circumference) + 0.974 (Abdominal Circumference) -0.332 (Hip Circumference) + 0.409 (Arm Circumference) - 1.618 (Wrist Circumference) + $\epsilon$. This model can be used to estimate the percentage of body fat using only a tape measure.

• The Research Journal of the Costume Culture
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• v.20 no.6
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• pp.912-922
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• 2012

With a long crotch length and much ease in the hip area, baggy pants are visually expressed in a variety of designs when compared with regular pants. The purpose of this study is to define the image differences of various baggy pants designs according to hip circumference and crotch length ease. To that end, this study deduced the visual image variable of experimental baggy pants and analyzed visual images according to changes in hip circumference and crotch length. Nine baggy pants with different levels of hip circumference and crotch length ease were produced as experimental pants. The image of each pair of experimental baggy pants was evaluated based on pictures taken of the pants worn by a woman in her 20s with a standard body figure. The image assessment team was composed of 105 clothing majors. The research results are as follows. Four visual image factors of experimental baggy pants were extracted: whole body compensation, lower body compensation, hip compensation, and waist compensation. Among the 4 factors, the whole body compensation factor was shown as the most representative factor. The body compensation image was higher with less hip circumference ease in the experimental baggy pants, and more hip circumference ease created the optical illusion of a larger body figure, presenting a significant difference between waist circumference and hip circumference. The lower body compensation factor, hip compensation factor, and waist compensation factor all showed a significant influence on changes in hip circumference ease. This result shows that changes in hip circumference ease exerted more influence on the body compensation image than did changes in crotch length ease. The results of this study provide basic data for predicting visual images according to differences in the level of ease in baggy pants, helping people select clothing suitable to their preferences and body shapes.

• Journal of Sasang Constitutional Medicine
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• v.19 no.1
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• pp.78-89
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• 2007

1. Objectives This is the comparative study with hand-operated measurement method & Automatic measurement method, in order to convert the automatic measurement method. 2. Methods We measured the body of patients(hand-operated width 5 places and hand-operated circumference 8 places, Automatic width 5 places) and analyzed the anthropometric data dividing into sex, age, BMI. 1057 patients's data are used in the analysis. 3. Results and Conclusions 1) 5th Width variable which was measured during lying down was not a sasang constitutional difference. 2) Diagnostic accuracy rate of the body measurement by Width which was measured during lying down and Width which IBS standing was 40-60%. 3) Diagnostic accuracy rate of Automatic & hand-operated measuring was not a big difference.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.4
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• pp.641-650
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• 2008

In this study, seven models with distinctly different body types were researched and explanatory variables were reviewed. Review was done by using body measurements and the measurements of the appropriate bodice patterns in 1D, 2D, and 3D measurement methods in order to review the pattern making system and the equations for calculating the dimensions of the sleeve caps, which are readily available. Data on human bodies, which can be the criteria for each body part required for the new system for making sleeve cap part, were selected considering conditions such as items with a significantly high contribution rate from the results of regression analysis and the easiness of measurement. As a result of research, an explanatory variable required for the system for making sleeve caps with high general use was extracted. All items with the exception of the waist circumference and upper arm circumference were about the measurement of the form of human bodies, which were newly set in this study. As a result of this study, the equations for calculating the dimensions of each part of the sleeve caps showed distinct differences in comparison to the conventional system of construction.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.2
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• pp.203-214
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• 1998

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.

• Journal of Nutrition and Health
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• v.8 no.4
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• pp.9-14
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• 1975

Growth retardation and a variable degree of body disproportion are recognized features of malnutrition, and mild and moderate protein-calorie malnutrition(PCM). Among the various body measurements suggested to assess the prevalence of all grades of PCM as judged by growth retardation and by body disproportion, the 'mid-upper-arm circumference'-abbreviated to 'arm-circumference' has been suggested as a potential useful simple field index for the assessment of PCM showing that the measurement would give composite information simultaneously on three important effects on PCM-deficit in the muscle protein reservoirs, availability of calorie stores in the form of subcutaneous fat, and growth failure. And this is selected because of its easy accessibility, and less involvement with clinical edema. This study is conducted to make a comparison between the percentage of Korean weight for age standards and the percentage of mid-upper-arm circumference for age standards of 175 preschool children aged $3{\sim}72$ months who are selected among the low-income residents in Seoul. In this study, a comparison is made between the results obtained by expressing the observed weight of the child as a percentage of Korean standard, referred to as 'weight-for-age' and the observed arm-circumference expressed as a percentage of the age-specific arm standard of Jelliffe, referred to as 'arm-for-age'. All the measurements were taken following the techniques described by Jelliffe. The left mid upper arm was measured using a glass-fibre tape and the Fairbanks Morse beam balance was used for weighing. 80% level of weight for age Korean standard and 85% level of arm for are Jelliffe standard were used as an upper borderline limit for PCM. Comparing the 80% weight-for-age and the 85% arm-for-age standard as an upper limit for PCM, for children aged $3{\sim}72$ months, results in 84.6% agreement with the sensitivity of 86.4% and its specificity of 83.5%. If arm circumference alone had been measured and judgement made on this basis, then only 5.1% of the children would have been 'wrongly' classified. And there is a moderately close correlation between arm circumference and weight for age as the data in Table 4 shows. The problem therefore lies in the standard for arm circumference in normal children and in determining what is the lower limit of normal. Once this is clearly difined, one can rely more confidently on arm circumference measurements alone for the nutritional assessment of early childhood.

• Journal of the Korean Society of Radiology
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• v.15 no.5
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• pp.649-656
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• 2021

The purpose of this study was to evaluate the appropriateness of transverse cerebellar diameter and abdominal circumference (TCD/AC ratio) as variables to evaluate intrauterine growth restriction of the fetus. From April 2019 to March 2021, 784 pregnant women who underwent ultrasound as a regular checkup at I hospital were retrospectively analyzed using the transverse cerebellar diameter and abdominal circumference measurements. In simple regression analysis, transverse cerebellar diameter and abdominal circumference had an effect of 97.2% and 97.5% on gestational age (p<0.001). In addition, the percentile of the TCD/AC ratio for each gestational age group was calculated through frequency analysis, and the 95th percentile of intrauterine growth restriction prediction was 14.2. As a result, it is thought that the TCD/AC ratio can be used as a useful variable to evaluate the normal growth of the fetus and predict the IUGR.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.1
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• pp.338-346
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• 2007

For Objectivity development of the body shape that is an importance standard for the classification of sasang constitutional medicine diagnosis, We made a comparison between Automatic & Physical measuring. This study uses 2 attitude which lies down & standing. We measured the body of patients(Width 5 places and circumference 8 places) and analyzed the anthropometric data dividing into sex, age, BMI. 296 patients's data are used in the analysis.