• Journal of the Korean Society of Food Science and Nutrition
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• v.24 no.4
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• pp.550-555
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• 1995

This study was conducted to investigate the prevalence of obesity and the concerns with omega 3 fatty acid intakes in 100 men do regular exercising. Most subjects were 23~66 years old whose average height and weight were 170.0$\pm$0.5cm and 68.2$\pm$0.8kg, respectively. Prevalence of obesity was 7%, 41% and 41% by criteria of Bioelectrical impedance analysis, Skin fold thickness and Body mass index, respectively. According to this survey, 75% of the subjects prefered vegetable oil to animal fat, 55% of them prefered seaweeds to shellfishes and 76% of them prefered natural foods to processed foods for good health. 61% of the interviewed subjects had the experience of eating perilla oil and 49% of them chose the Mackeral that had contained omega 3 fatty acids. The reason that seaweeds were good for health was rather high vitamin and mineral content than low fat.

• 대한예방의학회:학술대회논문집
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• 1998.10b
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• pp.46-47
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• 1998

• 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.

• Clinical and Experimental Pediatrics
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• v.48 no.8
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• pp.857-864
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• 2005

Purpose : The objectives of this study was to evaluate the correlations between the indices of insulin sensitivity using fasting glucose and insulin level, and the body fat mass measured by bioelectrical impedance analysis(BIA) and dual energy X-ray absorptiometry(DEXA), and to determine the clinical usefulness of insulin sensitivity indices when obese children were followed up. Methods : In this study, 28 simple obese children and adolescents were included. Anthropometric data including body weight, height, obesity degree(OD), body mass index(BMI), and waist-to-hip ratio were collected and then body fat mass was measured by using BIA and DEXA. For metabolic data, 12 hour fasting serum glucose, insulin and lipid profiles were measured and indices for insulin sensitivity(G/I ratio, $log_{insulin}$, HOMA-IR, $log_{HOMA-IR}$, QUICKI) were calculated. Results : BMI had a higher correlation with insulin sensitivity indices than OD(G/I ratio, -0.463 vs -0.209; $log_{insulin}$, 0.417 vs 0.196; HOMA-IR, 0.301 vs 0.238; $log_{HOMA-IR}$, 0.403 vs 0.198; QUICKI, -0.451 vs -0.224). But OD had a higher correlation with body fat mass measured by BIA and DEXA than BMI(BIA, 0.612 vs 0.316; DEXA, 0.667 vs 0.512). The G/I ratio was correlated with body fat mass in BIA(r=-0.420, P<0.05) and DEXA(r=-0.512, P<0.01), percentage of body fat(percentage of fat) in BIA(r=-0.366, P<0.05) and DEXA(r=-0.449, P<0.01). HOMA-IR was only correlated with body fat mass in DEXA(r=0.341, P<0.05). Conclusion : This study revealed that G/I ratios had a statistically significant correlation with anthropometric obesity indices(OD and BMI) and also had a correlation with both body fat mass and percentage of fat. These results suggest that G/I ratios could be used as useful index when obese children and adolescence are followed up.

• Clinical and Experimental Pediatrics
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• v.46 no.8
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• pp.751-757
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• 2003

Purpose : Obesity is a significant health problem with medical and psychological consequences for children and adolescents. The purpose of this study was to assess the correlation between body fat percent using bioelectrical impedance(BI) and other variable methods. Methods : We measured height, weight, body mass index(BMI) and body fat percent by skinfold thickness(ST) and BI in 1,035(496 male; 539 female) children from seven to 18 years of age. The correlation coefficients between BI and each of the other different methods were obtained. The sensitivity and specificity to predict obesity by these several methods were studied. Results : Fat percent estimated by BI analysis and BMI showed a strong correlation(r=0.749). Fat percent estimated by BI analysis and ST showed a very strong correlation(r=0.835). At the 95th percentile cut-off point for BI, ST showed a sensitivity of 57.7%, and a specificity of 97.6% for estimating body fat. At the 95th percentile cut-off point for BI, BMI showed a sensitivity of 84.9%, and a specificity of 99.3% for estimating body fat. Conclusion : The fat percent estimated by BI analysis correlated strongly with ST or BMI. BI analysis is an objective and accurate method for estimating body fat in childhood obesity.

• Journal of Sasang Constitutional Medicine
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• v.21 no.3
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• pp.48-62
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• 2009

1. Objectives: The purpose of this study was to analyze the physical and psychological characteristics of each Sasang type groups which were classified by Sasang medicine specialist. 2. Methods: The subjects were 115 (85.2% of male) university students with $26.8\pm5.4$ yrs. of age and $12.9\pm1.7$ yrs. of education. We can get 30 of Soyang type, 39 of Taeeum type, 46 of Soeum type after the Sasang type classification. Their physical characteristics were measured with Bioelectrical Impedance Analysis (Inbody 720, Biospace, Seoul), and psychological characteristics with Temperament and Character Inventory (Maumsarang, Seoul). The general linear model (SPSS 12.0, SPSS Inc, Chicago) were used for the analysis with gender and age as covariance. 3. Results and Conclusions: Taeeum type group ($75.64\pm13.01$, $26.12\pm4.16$, $15.74\pm2.42$, $11.30\pm1.80$, $3.93\pm0.62$, $18.43\pm7.70$) showed significantly bigger weight, intra-cellular water, extra-cellular water, protein, mineral, body fat mass than Soeum type group ($61.32\pm8.56$, $22.54\pm3.87$, $13.70\pm2.15$, $9.74\pm1.68$, $3.35\pm0.51$, $10.79\pm3.97$). In obesity degree such as Body Mass Index and Waist-hip ratio, and circumference measures in chest, waist and hip, we found significant differences in the order of Taeeum>Soyang>Soeum. As a psychological perspectives Soyang type group ($41.90\pm13.32$) has higher NS (Novelty-Seeking) score than Soeum type group ($35.22\pm11.22$) with marginal significance (p=0.052). In sub-scale measurements Soeum type group ($10.61\pm3.69$) has significantly lower value than other two groups in P3 (Ambition). The results of present study showed that Taeeum type by specialist has same physical characteristics as previously reported QSCC II based studies. Temperament profile of each Sasang type group will serve as an important evidence for further study showing that the Sasang typology has biological basis.

• Clinical and Experimental Pediatrics
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• v.53 no.3
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• pp.341-348
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• 2010

Purpose : Body composition is important to define and manage obesity and undernutrition. Obesity is a significant health problem with medical and psychological consequences for children and adolescents. Body composition analysis (BIA) is a simple, rapid, noninvasive, and reproducible technique. However, comparative analysis of body composition has not been done in young children below 7 years old. The aim of this study is to estimate antropometric data and body composition by BIA, and to investigate the correlation between anthropometric data and fat mass or fat percent in young children. Methods : We measured height, weight, body mass index (BMI), fat mass, and fat percent by BIA in 1,376 children aged 3-6 years of whom 688 were males and 688 were females. Results : Fat mass, fat percent, intracellular fluid, extracellular fluid, protein, and minerals were significantly higher in the obese group. A significant positive correlation exists between fat mass and BMI or weight. A significant positive linear correlation was also noted between fat percent and BMI. Protein, weight, fat mass, and fat percent were significantly different among groups. Conclusion : BIA is an objective, accurate method to estimate body fat in childhood obesity cases. Fat mass and fat percent data acquired by using BIA highly correlated with BMI. However, a large-scale study is needed to diagnose obesity in young children.

• Journal of Korean Medicine Rehabilitation
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• v.18 no.4
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• pp.147-159
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• 2008

Objectives : In order to investigate the relation of body composition analysis and isokinetic trunk muscle strength for the screening test of low back pain. Methods : This study was carried out with the data from comprehensive medical testing. 75 subject aged 20-59 performed the segmental bioelectrical impedance analysis, isokinetic trunk muscle strength test and questionnaire. Then we analyzed the relationship of data. Results : Low back pain(LBP) prevalence in high obesity index(Body mass index(BMI), Percentage of Body Fat(PBF), Waist Hip Ratio(WHR)) group was higher than LBP prevalence in normal obesity index group(p<0.001). In LBP group, Extension Peak Torque(Ext.PT), Extension Peak Torque per Body Weight(Ext.PT/BW) were significantly lower than Non-LBP group(p<0.001). And 90% of LBP group indicated abnormal Extension-Flexion Ratio(E/F ratio)(1.0 < Normal E/F ratio <1.6). When it comes to analyze relation between obesity index and muscle strength, Ext.PT/BW was significantly decreased according to PBF, WHR score. And correlation coefficient in Flex.PT, Flex.PT/BW, Ext.PT, Ext.PT/BW and PBF showed decreasing function. Conclusions : Results from this investigation showed positive correlation between obesity and LBP prevalence. Decreased muscle strength and inbalanced E/F ratio were shown in LBP. Trunk muscle strength was changed according to body mass composition parameters. This results are expected to contribute to prevent and diagnose LBP by application the clinical index of body composition analysis.

• Korean Journal of Acupuncture
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• v.29 no.4
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• pp.563-572
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• 2012

Objectives : The aim of this study was to suggest a new method to estimate the resistance by acupoint compositions by using the multi-frequency bioelectrical impedance analysis(MF-BIA) of 5 kHz, 50 kHz and 200 kHz within 2 cm of acupoints as a local segment. Moreover, we try to confirm the relation to between measured resistance at skin surface and measured resistance by various manual acupuncture needle insertion depth. Methods : Ten male subjects participated in this study. We measured the resistance at left/right ST36 at skin surface and various manual acupuncture needle insertion depth(skin, 5 mm, 10 mm, 15 mm, 20 mm, 25 mm and 30 mm). Results : It was also observed that the all measured resistances were the highest at 5 kHz and the lowest at 200 kHz. There were significant differences at 5 kHz, 50 kHz and 200 kHz between measured resistance at skin surface and measured resistance by various manual acupuncture needle insertion depth(p<0.05). There was no significant difference in the left and right identical acupoints under the identical condition(p>0.05). Conclusions : We conclude that the measured resistance at skin surface has limitation as to reflect the information of tissue. However, the measured resistance at each frequency was changed as similar pattern by different insertion depth. Hence, we confirmed the possibility of assumption on information of tissue which was expected to locate an acupoint.

• Clinical and Experimental Reproductive Medicine
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• v.51 no.1
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• pp.48-56
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• 2024

Objective: This study investigated the relationship of anthropometric and metabolic risk factors with seminal and sex steroidal hormone parameters in a screened population of healthy males. Methods: The participants were healthy young men without chronic or congenital diseases. The body composition parameters that we investigated were measured weight, height, and waist circumference (WC), as well as bioelectrical impedance analysis. Semen samples were analyzed for semen volume, sperm concentration, sperm motility and morphology, seminal pH, and liquefaction time. Biochemistry analysis, including glucose and lipid metabolism parameters, was conducted on fasting blood samples. Testicular volume was calculated separately for each testis using ultrasonography. Results: Body mass index exhibited an inverse association with total sperm count. WC showed negative correlations with numerous seminal parameters, including sperm concentration, total sperm count, sperm morphology, and follicle-stimulating hormone levels. The basal metabolic rate was associated with seminal pH, liquefaction time, and sperm motility. WC, fat mass percentage, and triglyceride levels exhibited negative correlations with sex hormone binding globulin. The measures of glucose metabolism were associated with a greater number of seminal parameters than the measures of cholesterol metabolism. C-reactive protein levels were inversely associated with sperm concentration and total sperm count. Conclusion: Anthropometric and metabolic risk factors were found to predict semen quality and alterations in sex steroidal hormone levels.