• The Journal of the Society of Korean Medicine Diagnostics
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• v.16 no.1
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• pp.27-34
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• 2012

Objectives The purpose of this study was to find out whether if there is correlation between the pattern differentiation questionnaire and edema index of body composition analysis. Methods The authors obtained results of pattern differentiation Questionnaires and body composition analysis tests from 195 female patients who visited the Oriental gynecology department in Kyung Hee university Oriental medicine hospital at Gang-dong. The authors conducted correlation analysis between indicators of Body composition analysis and each part of the pattern differentiation Questionnaire. Pearson correlation analysis was performed on SPSS version 13.0 for windows. Results There was negative correlation between the Phlegm Questionnaire and right arm ECF, left arm ECF, and left arm ECW of the Body composition index. There was no correlation between Yin-deficiency Questionnaire and Body composition index. There was no correlation between Heat pattern Questionnaire and Body composition index. There was positive correlation between the Cold pattern Questionnaire and right leg ECF, and right leg ECW of the body composition index. There was no correlation between degree of edema self-awareness and Body composition index. Conclusions The result showed that each Questionnaire score has different correlation or even no correlation with Body composition index and degree of edema self-awareness. Further studies are needed for a better understanding and interpretation of the relationship between edema index on Body composition analysis and Questionnaires.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.10 no.2
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• pp.132-150
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• 2006

Objectives : The objective is that we measure and analyze Pulse-Respiration Ratio and Body Composition Analysis to study the correlation between both. Methods : First, after subjects take a rest over 10 minutes, we measure their electrocardiogram and respiration pattern through which we take average peak interval to calculate an average pulse cycle and a respiration cycle. An average respiration cycle divided by an average Pulse Rate gives Pulse-Respiration Ratio. Next, we draw out 22 Body Composition Analysis indicators by using In-Body 720 model. Last, we analyze and take statistics on them by using SPSS 13.0 program. Results : Negative is the correlation between P/R Ratio and Body Composition Analysis indicator like fatness degree, body fat volume, body fat rate, abdominal fatness, BMI. Conclusions : 1. The higher P/R Ratio the more likely to be thin, the lower P/R Ratio the more likely to be fat. 2. We separately analyze P/R Ratio depending on each breathing frequency and pulse frequency to find out that breathing frequency has great influence and that breathing frequency decides the fatness degree. 3. In study on the correlation between P/R Ratio and Body Composition Analysis, fatness degree, in-body fat volume, in-body fat rate, BMI are the related indicators, which shows the connection with the fatness indicators. 4. In study on the correlation between Han-Yeol [寒熱] grade and Body Composition Analysis indicators, the result is that Han[寒] has no connection and that only Yeol[熱] grade has something to do with it, which means the higher heat symptom subjects have, the more basic metabolism volume and muscular build they have.

• The Journal of Korea CHUNA Manual Medicine
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• v.6 no.1
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• pp.11-20
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• 2005

Objectives: To find relation with training period and body composition of peoples engaged in training program of six weeks and present a better training formula. Methods: Changes of body composition during training were analysed with paired t-test. correlation of training period and body composition were analysed with simple correlation analysis. Results: Body weight, body fat and body fat ratio were decreased significantly, all of them were concerned in training period. Conclusions: Training program of six weeks reduce body weight, body fat ratio even muscle mass. It should be careful to order training prescription.

• The Journal of Korean Obstetrics and Gynecology
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• v.21 no.3
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• pp.231-244
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• 2008

Purpose: The purpose of this study is to analyze body composition, obesity according to working pattern of working women. The subjects were workers in the automobile manufacturing industry. Methods: The subjects consisted of 514 industrial women workers who had received Korean oriental medicine health examination and submitted questionires about working pattern, during 8 months from April 2005 to November 2005. The body composition was measured by X-scan(Jawon medical, Seoul, Korea). We analyzed the relationship between body composition analysis, obesity and shift pattern with $X^2-test$ using the SPSS Ver. 12.0 Results: Regarding the realationship between body composition and working pattern, shift worker group had a significantly higher level of body weight, ratio of body fat, visceral fat and abdominal fat than normal worker. Conclusion: From this study, we can know that shift work can influence on working women's body composition and obesity.

• The Journal of Korean Obstetrics and Gynecology
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• v.21 no.4
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• pp.169-182
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• 2008

Purpose: The purpose of this study is to find out the relations between the index of obesity by body composition analysis (EMI. %BF and WHR) and results of other oriental health examinations (QSCC II, HRV and APG) on some women. Methods: 114 women who were tested by oriental health examination between May 2006 and August 2008 were studied. Results: As a result of the study on the relations between the index of obesity by body composition analysis and sasang constitution, it was found that each of them had significant differences among themselves and Taeumin had the highest significance than other sasang constitution. As a result of the study on the relations between the index of obesity by body composition analysis and HRV, it was discovered that there was no significant relationship between BMI and WHR and HRV. However, %BF had negative correlations with autonomic activity, stress resistance and stress index. As a result of the study on the relations between the index of obesity by body composition analysis and APG, it was found that they had positive correlations with each other. Conclusion: In conclusion, there are significant relations between the index of obesity by body composition analysis and results of other oriental health examinations.

• Journal of Korean Medicine Rehabilitation
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• v.19 no.3
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• pp.91-100
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• 2009

Objectives : The purpose of this study was to find the characteristics of Sasang Constitution, Soeumin, Soyangin and Taeumin, Using Regular Medical Inspection. Methods : Subjects of our study were 325 cases who took regular medical inspection. We collected the data of body composition analysis, 7-zone-diagnostic system, blood analysis, and analyzed by Sasang Constitution, Soeumin, Soyangin and Taeumin. Results and Conclusions : 1. In body composition analysis, Taeumin was significantly higher than Soeumin and Soyangin about soft lean mass, body fat mass, waist-hip ratio, body water index, body mass index and basal metabolic rate. In blood analysis, Taeumin was significantly highest about total protein, albumin, GPT, hemoglobin, WBC, triglyceride. In 7-zone-diagnostic system, Taeumin had the highest level at Zone 1, 2. 2. Taeumin had more significant differences than other Sasang constitutions about the parameters of regular medical inspection. 3. Body composition analysis had the most parameters that showed differences among the constitutions, followed by blood analysis and 7-zone-diagnostic system.

• Clinical and Experimental Pediatrics
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• v.48 no.7
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• pp.696-700
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• 2005

Propose : Body composition by bioelectrical impedance analysis(BIA) is a very useful method of analysing body composition. BIA is non-invasive, inexpensive, nonhazaedous and reproducible technique. The aim of this study was to determine the level of agreement between body composition measurement by BIA and dual-energy X-ray absorptiometry(DEXA). Methods : Data was examined in 100 children(male 58; female 42), who visited Pusan National Hospital. Weight(kg) and height(cm) were measured, and body compositions were analyzed with fat mass, lean body mass, body fat percent by BIA and DEXA methods. Results : Comparison of the DEXA and BIA methods showed highly statistically significant correlations in measurement of human body composition(fat mass, lean body mass, body fat percent). Conclusion : BIA should be considered as the method of choice in measurement of human body composition, since it's non-invasive, reliable, rapid, nonhazaedous and inexpensive, using portable equipment.

• Journal of Sasang Constitutional Medicine
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• v.13 no.1
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• pp.24-34
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• 2001

Objectives : The purpose of this study was to evaluate the body shape of Sasang Constitutions by body composition and body measurement. Methods : This study was carried out 98 cases(68 males and 30 females)of Oriental Medical College at Kyunghee University. After determining the Sasang Constitutions(Soeumin, Soyangin, Taeumin) by QSCCII, the body shape of each group were analysed by body composition(INBODY 2.0, Biospace, seoul, korea) and body measurement. Results : 1) The result of Sasang Constitution analysis of 98 cases were classified as Soumin(52%), Soyang(24.5%), Taeumin(23.5%). 2) In the body composition and body measurement, there were significant difference from intercellular fluid, protein, mineral mass, weight, percent body fat, body water of left arm and BMI between Taeumin, Soyangin and Soumin. 3) In the body composition of male, Taeumin group showed that the arms were more developed than the legs and the upper trunk were more developed than the lower trunk. Soumin group showed the asymmetry of the right and left limbs. Soyang group showed the asymmetry of the right and left arms. In the body composition of female, Taeumin group showed the asymmetry of the right and left upper limbs. Conclusion : There are significant relationships between Sasang Constitutions, Body composition and BMI. The findings indicated here Body composition could be useful mean to make a diagnosis of the body shape, body type, physical constitution of Sasang constitutions.

• Journal of the Korean Dietetic Association
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• v.7 no.2
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• pp.153-158
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• 2001

This study examined the age-related patterns in body composition cross-sectionally using Segmental bioelectrical impedance analysis(SBIA), specifically its two components, lean body mass(LBM) and body fat mass, in 1,452 men and 1,436 women with an age range of 19 to over 70 years . Mean height of male subjects was 174.1cm at peak in early 20's and was decreased continuously 0.2-0.3 cm every year. Mean weight was greatest between late 20's and 40's, and was decreased quickly in 70's. Body fat mass was increased steadily before 30's and remained thereafter. Because decreasing lean body mass (LBM), percentage of body fat(PBF) increased continuously with aging. Mean height of female subjects was 161.7 cm at peak in 20's and was decreased steadily around 0.2 cm every year and thus an individual's height was decreased approximately 10 cm in their life cycle. Body weight was increased steadily until 50's and then was decreased. Body fat mass was increased continuously and LBM remained constant and thus PBF was increased steadily with aging. SBIA can be used to compare body composition between genders and between ages. In future studies, SBIA could be applied widely to evaluate variations of body composition in subjects with different nutritional problems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5403-5408
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• 2012

In this paper, we introduce the multiple frequency bio-electrical impedance analysis method for body composition analysis. And then we implement the multiple frequency bio-electrical impedance analysis system. Overall system consists of: multiple frequency alternating current signal generator contained alternating current signal, phase signal detector, voltage signal detector, micro controller, in-out device(key-pad LCD), conductivity electrodes, system power. We explain the architecture of the system and required theory to implement the system. In order to investigate the clinical significance of the body composition data, compare to the data measured by the expert body composition analyzer which provide high reproduction and precision. Finally, experimental results which are the correlation between the measured data show the very high reproduction performance of the body composition analysis in the proposed system.