• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.3
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• pp.697-700
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• 2006

This study was aimed at finding out changes in body composition of obese patients, such as body weight, body fat mass and lean body mass. The subjects of this study are 33 females and 6 males who are from obesity clinic at Gunsan medical center. We measured body composition using BIA(Bioelectrical Impedence Analysis) to compare pre-treatment with post-treatment. The measured data were analyzed by paired t-test using SPSS. Differences were considered significant at P<0.05. Body weigh, body fat mass and lean body mass were reduced each by $3.76{\pm}23.41{\;}kg,{\;}2.29{\pm}1.96kg{\;}and{\;}1.59{\pm}1.38kg$ at a significant level after 4 week-treatment.

• 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 Korean Medicine Rehabilitation
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• v.21 no.4
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• pp.167-179
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• 2011

Objectives: In this study, we used with visceral fat area(VFA)/subcutaneous fat area(SFA) ratio(V/S ratio) and bioelectrical impedence analysis(BIA) for a comparative study between VFA measured from several abdominal computed tomography(CT) images and obesity indexes, such as body mass index(BM), waist circumference(WC), and waist-hip ratio(WHR). Methods: A group of 63 test subjects were gathered in the oriental medical hospital of Kyung-Won university. BIA for body composition and body size for obesity indexes were estimated to evaluate the obesity indexes. Pearson correlation coefficients and regression analysis were used to select useful obesity index. Results: The VFA-CT was significantly related to BMI, SFA, WC, hip circumference(HC), body fat mass(BFM), basal metabolic rate(BMR), and VFA-BIA. Especially, we found that the VFA-BIA and BMI were significantly correlated to VFA-CT. Conclusions: VFA-BIA index is an optimized index for diagnosis and evaluation of obesity. Finally, we found that the BMI is optimized to represent VFA.

• The Journal of Internal Korean Medicine
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• v.39 no.4
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• pp.463-470
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• 2018

Objectives: The aim of this study was to identify the validity of phase angle as a prognostic factor for survival in patients with metastatic cancer. Methods: Data of patients with metastatic cancer who visited the Korean medicine cancer center at Kyung Hee University Hospital in Gangdong from April 2016 to February 2018 were collected for this study. The values of phase angle (PhA) and blood hemoglobin (Hb), C-reactive protein (CRP), and serum albumin levels were also investigated by bioelectrical impedance analysis (BIA). Results: In total, 86 patients were analyzed. The cut-off value of the phase angle was determined as 5.0. Univariate and multivariate analysis revealed that phase angle (HR 3.15, 95% CI 1.79-5.54) and CRP (HR 2.15, 95% CI 1.24-3.73) predicted survival with statistical significance. The median overall survival of the low PhA group ($PhA{\leq}5.0$) was 1.8 months (95% CI 0.6-2.9 months) and 7.2 months (95% CI 5.2-9.2 months) in the high PhA group (PhA>5.0)(p<0.001). Conclusions: The phase angle could be an independent prognostic factor for patients with metastatic cancer. Further research is required to confirm these findings and their correlation with other indexes.

• Journal of Preventive Medicine and Public Health
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• v.43 no.6
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• pp.479-485
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• 2010

Objectives: The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the study was to evaluate the possibility of whether the test values measured from different BIA machines can be integrated through statistical adjustment algorithm under excellent inter-rater reliability. Methods: We selected two centers to measure inter-rater reliability of the two BIA machines. We set up the two machines side by side and measured subjects' body compositions between October and December 2007. Duplicated test values of 848 subjects were collected. Pearson and intra-class correlation coefficients for inter-rater reliability were estimated using results from the two machines. To detect the feasibility for data integration, we constructed statistical compensation models using linear regression models with residual analysis and R-square values. Results: All correlation coefficients indicated excellent reliability except mineral mass. However, models using only duplicated body composition values for data integration were not feasible due to relatively low $R^2$ values of 0.8 for mineral mass and target weight. To integrate body composition data, models adjusted for four empirical variables that were age, sex, weight and height were most ideal (all $R^2$ > 0.9). Conclusions: The test values measured with the two BIA machines in the KoGES have excellent reliability for the nine body composition values. Based on reliability, values can be integrated through algorithmic statistical adjustment using regression equations that includes age, sex, weight, and height.

• The Journal of Pediatrics of Korean Medicine
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• v.25 no.1
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• pp.82-89
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• 2011

Objectives: This study was designed to regulate the percentile of body fat percentage by Bioelectrical Impedence Analysis (BIA) in order to detect overweight and obesity in preschool children. Methods 1301 three to six year old children's height, weight, and body fat percentage using BIA was measured. Results: The percent of the boys with 85th percentiles of the body fat percentage were 22.3%(3years), 23.4%(3.5years), 23.9%(4years), 24.8%(4.5years), 22.8%(5years), 24.6%(5.5years) and 23.8%(6years). The percent of the girls with 95th percentiles of the body fat percentage were 24.9%(3years), 27.5%(3.5years), 27.3%(4years), 28.6%(4.5years), 28.1%(5years), 33.3%(5.5years) and 32.7%(6years). For the girls, the percent of girls with 85th percentiles of body fat percentage were 23.3%(3years), 24.4%(3.5years), 23.6%(4years), 23.7%(4.5years), 24.7%(5years), 26.0%(5.5years) and 28.1%(6years). And the 95th percentiles of the body fat percentage were 28.6%(3years), 27.3%(3.5years), 25.4%(4years), 28.0%(4.5years), 31.7%(5years), 33.5%(5.5years) and 36.4%(6years). Conclusions: The 85th percentiles of body fat percentage to classify as overweight and the 95th percentiles of body fat percentage to classify as obesity were accord with the Body Mass Index (BMI) criteria by the Korean pediatrics society in 2007.

• Korean Journal of Human Ecology
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• v.16 no.4
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• pp.849-854
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• 2007

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.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.6
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• pp.846-855
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• 2009

This study was performed to assess gender differences in rates of obesity, dietary behaviors, and nutrient intakes among college students living in Gwangju. Anthropometric measurements showed that the body mass indexes (BMIs) of the males and females were $22.1{\pm}2.6$ and $20.1{\pm}2.4$ respectively. All obesity indices including BMI, relative body weight (RBW), % body fat by bioelectrical impedence analysis (BIA), and waist-hip ratio (WHR) were significantly higher in the males than in the females. Abdominal fat was also found to be higher in the males whereas underweight was prominent in the female students. The dietary behaviors of the males as determined by dietary scores, were poorer than those of the females. Twenty-four hour dietary recalls revealed that most nutrient intakes were adequate, exceptions of vitamin C, Ca, and folate intakes in both sexes and Fe intake in the female students. Ca and folate intakes were below 75% of the KDRI for both genders. In addition, Unbalanced energy ratios of carbohydrate, protein, and fat were noted in both genders. Effective nutrition education programs targeting college students should be developed and implemented to increase Ca and folate consumption. It is suggested that gender-based nutrition education approaches be created due to poor dietary behavior in males and inadequate nutrient intakes in female college students.

• The Korean Journal of Nuclear Medicine Technology
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• v.15 no.1
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• pp.3-9
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• 2011

Purpose: Generally dual energy X-ray absorptiometry has been used for the purpose of evaluation of osteoporosis and treatment. Recently the interest of obesity came to be high and body percent fat test is increasing. Existing measure of body fat have to scan the whole body can be evaluated, but only lumbar spine and hip measurements was assumed to be whole body fat as well as improving the software. It tries to check whether the part measured value not being whole body measurement has the validity or not compared with the value calculated with the method that it is different, it forgives through a correlation with a (BIA) and (BMI). Materials and Methods: In 2010, the body percent fat was measured among the examinee coming to the Asan Medical Center public health care center from March till August against 90 females more than 40 years old through (DXA) and BIA. BMI utilized the value which wrote an hight and weight measured through the body measuring instrument in the examinee information and is automatically calculated. In addition, it classified as the low weight ($13-18.5kg/m^2$), normal ($18.5-25kg/m^2$), and corpulence ($25-30kg/m^2$) based on BMI and so that it could check whether there was the difference according to the weight or not BMI and BIA and correlation between DXA were analyzed in each group. The statistical program for the analysis used SPSS 12.0. Results: The comparison of DXA at 3 which it divides into the low weight and normal and corpulence groups and BIA did not show the difference noted statistically in all groups and the between group comparison was exposed to do not have a meaning. The body percent fat measured by the correlation analysis result DXA at the state that it doesn't divide into the group showed the high correlation (r=0.908, p0.01) noted statistically compared with BMI and showed the high correlation noted statistically in a comparison with BIA (r=0.927, p0.01). Conclusion: It confirmed that the whole body percent fat presumed from the part bone density measurement showed the excel correlation compared with BIA and BMI and information is high. There is still no clear standard about the presumed whole body percent fat and it is difficult to evaluate the fat evaluation by the bone mineral density measurement. However, it is determined that the information offering which is more objective through the comparative study with the body percent fat which is very efficient and in that it can obtain till the information about a fat as well as diagnosis of the osteoporosis through the bone density checkup is measured by the afterward telegraph bone density checkup and is clinically useful is possible.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.2
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• pp.196-201
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• 2005

The aim of this study was to confirm the validity of predictive equations for the calculation of basal energy expenditure (BEE). One hundred twenty female college students were participated in this study. The resting energy expenditure (REE) was measured by indirect calorimetry for 30 minutes following an 12 hour overnight fasting. Among the available equations for predict BEE, Harris-Benedict, WHO/FAO/UNU and Cunningham methods were selected. Body composition was estimated by bioelectrical impedance analysis (BIA) for the equation of predicted BEE. The mean of measured REE was 1257.2$\pm$147.9 kcal/day, while the predicted value by Harris-Benedict, WHO/FAO/UNU and Cunningham were 1373.3$\pm$45.4 kcal/day, 1290.0$\pm$61.7 kcal/day and 1187.6$\pm$49.2 kcal/day, respectively. The Cunningham equation was more closed to measured values than Harris-Benedict and WHO/FAO/UNU equation by the correlation coefficient. Comparing Pearson's correlation coefficients, fat-free mass (FFM), body surface area (BSA) and body weight were higher than others such as height, body mass index (BMI), fat and fat%. The FFM's correlation coefficient was the highest as 0.74. Thus, the conclusion of this study suggested that the main determinant of BEE was FFM, and we derived a prediction equation as follows: BEE=-569.86+48.27 (FFM).