The purpose of this study is to report a case of a patient with pattern identification of liver fire flaming upward and metabolic syndrome improved by Korean medicine. The patient felt completely lost. She was treated for headache, insomnia, and metabolic syndrome with Korean medicine and psychotherapy. Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Pattern Identification Tool for Insomnia (PIT-Insomnia), Minnesota multiphasic personality inventory-2 (MMPI-2), and bioelectrical impedance analysis (BIA) were used for assessment. During treatment for six months, the patient stopped taking headache pills. Her blood pressure was stabilized. Her body weight, body fat, body mass index (BMI), and visceral fat decreased significantly. The sum of ISI, PSQI, PIT-insomnia also decreased significantly. Her Ego strength increased in the MMPI-2 supplementary scale. We assume that Korean medicine treatment through acupuncture, herbal medicine, and psychotherapy is effective in treating pattern identification of liver fire flaming upward and metabolic syndrome.
Journal of Korea Society of Industrial Information Systems
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v.19
no.5
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pp.25-31
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2014
Bioelectrical Impedance Analysis(BIA) is a widely used method for estimating body composition changes which is a non-invasive, inexpensive, safety and reproductive method. We studied the bioimpedance change and the distinction of blood pressure according to body posture and conducted three kinds of experiments: the real-time bioimpedance measurement, the simulation using equivalent circuit model and the blood pressure measurement. Bioimpedance is measured during 4 minutes at the multi-frequency(1 kHz, 10 kHz, 20 kHz, 50 kHz, 70 kHz, 100 kHz). From the experiment results, the changes in body postures result in changes of resistance and reactance, with an average rapid increase of body impedance when going from standing, sitting to supine. Specially, the laying resistance on average was 16.49% higher than supine resistance at 50 kHz and the laying reactance measurement was also 26.05% higher than sitting reactance at 1 kHz. Blood pressure in standing posture was higher than those in other postures both in maximum($125.14{\pm}12.30$) and in minimum($75.57{\pm}10.31$). The results of BIA and blood pressure in this study will be contributed to the research on acute illness, extreme fat, and body shape abnormalities.
Kim, Soo-Byeong;Chung, Kyung-Yul;Jeon, Mi-Seon;Shin, Tae-Min;Lee, Yong-Heum
Korean Journal of Acupuncture
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v.31
no.2
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pp.66-78
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2014
Objectives : The specificity of acupuncture point has been a highly controversial subject. Existing researches said that ion-distribution differences are observed on the acupuncture point. This study was conducted under the assumption that multiple ionic changes induced by muscle fatigue would be different between the acupuncture point with non-acupuncture point. Methods : To induce the identical fatigue, twenty subjects performed the knee extension/flexion exercise using the Biodex System 3. ST32 and ST33 as well as adjacent non-acupuncture points were selected. We measured blood lactate and analyzed the median frequency(MF) and peak torque. To obtain the information on the extracellular fluid(ECW), intracellular fluid(ICW) and cell membrane indirectly, we used the multi-frequency bioelectrical impedance analysis(MF-BIA) method. Results : MF, peak torque and blood lactate level of all measurement sites were gradually returned to normal. Re resistance of ST32 had a stronger response, but a non-acupuncture point adjacent to ST33 had a larger response up to 20 minutes post exercise. Ri resistances were similar for both acupoints and non-acupoints. The $C_m$ capacitance of ST32 had a stronger response after inducing fatigue, but ST33 had a smaller response than a non-acupuncture point adjacent to it. Conclusions : In comparison with before and after inducing fatigue, the specificity of acupuncture points was not clearly observed. Hence, we concluded that the body composition factors extraction method had the limitation as a method of finding the specificity of acupuncture points by inducing fatigue.
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.
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).
This study was done to evaluate the antioxidant status of female college students by determining their intakes and plasma levels of antioxidnt vitamins (vitamin C, A and E) and total antioxidant status (TAS). Subjects were 46 healthy female college students aged 20 - 29 years. Body composition was determined by a multifrequency bioelectrical impedance analysis. Dietary intakes were examined by 24hr record method and nutrients intakes were analyzed by the Computer Aided Nutritional analysis program for professional (CAN-pro). Plasma vitamin C level were measured by spectrophotometric method and retinol, ${\beta}$-carotene, ${\alpha}$-tocopherol were measured by HPLC. Plasma TAS was measured with a Randox kit using the trolox equivalent antioxidant capacity (TEAC) method. Daily energy and protein intakes of the female college students were 1670.5㎉ (83% of RDA) and 63.3g (115.1% of RDA), respectively. However their intakes of Ca and Fe were below 75% of RDA. Their intakes of vitamin A and C were 596.6 ${\mu}$ gRE (85.2% of RDA) and 71.0mg (101.4% of RDA), respectively. Plasma levels of vitamin C, retinol, ${\beta}$-carotene and ${\alpha}$-tocopherol were 14.7mg/L, 0.7mg/L, 0.2mg/L and 9.1mg/L, respectively which were within normal range. There was no subject with deficiency or marginal level in plasma vitamin A and C. However 1.6% of the subjects had below adequate level in vitamin E. Plasma TAS level was 1.2mmol/L. Correlation data showed that all plasma antioxidant vitamins were positively correlated with plasma TAS. Overall data indicate that the antioxidant status of female college students were pretty good. However it might be necessary to educate them to eat more fruits and vegetables for preventing many chronic diseases in a later life. (J Community Nutrition 5(1) : 13∼20, 2003)
This study was carried out to investigate the relative influence of food intake and menopause on the body composition and bone quality index of women in Wonju who were voluntary participants in a community nutrition program. The status of food intake was examined using a semi-quantitative food frequency questionnaire. A bioelectrical impedance analysis tool (Inbody 2.0) and SONOST 2000 were used for estimating body composition including criteria such as TWB (Total body water), SLM (Soft lean mass), LBM (Lean body mass), PBF (% body fat) and WHR (Waist hip ratio), and BQI (Bone quality index). 82% of the subjects were over the age of 40. The percentage of overweight subjects was 64.3% overall, and higher in the advanced age group while underweight was prevalent in younger subjects. Although only 8.6% of the total subjects skipped breakfast, this habit was more prevalent in subjects in their twenties and the underweight group. Variables, such as age, menstruation status, and breakfast eating habits were significant factors considered in relation to food intake from 7 food groups. Generally, older aged women ate more vegetables while the younger group consumed more simple sugars and lipids. The subjects who were underweight or skipped breakfast tended to drink higher amounts of soft drinks. With increasing age, BMI, PBF and WHR increased also, and TWB, SLM, LBM, and BQI decreased. According to correlation analysis, WHR has a positive correlation with PBF. BQI correlated with SLM and LBM positively, and with PBF and WHR negatively. Over 93.3% of the subjects over the age of 30 were assessed as having abdominal obesity. It was revealed that body composition was affected not only by age, obesity degree and menstruation status but by various food intake habits. Body composition including WHR and BQI had put many of the subjects' health in danger of metabolic disorders. Therefore, it is important to emphasize keeping in place some helpful habits such as eating regularly, having a proper diet which includes many vegetables, and continued milk intake even after menopause to insure women's good health.
Kim, Na Young;Hong, Young Mi;Jung, Jo Won;Kim, Nam Su;Noh, Chung Il;Song, Young-Hwan
Clinical and Experimental Pediatrics
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v.56
no.12
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pp.526-533
/
2013
Purpose: Obesity is an important risk factor for hypertension in adolescents. We investigated the relationship of obesity-related indices (body mass index [BMI], waist-to-height ratio [WHR], and body fat percentage [%BF]) with blood pressure and the hemodynamic determinants of blood pressure in Korean adolescents. Methods: In 2008, 565 adolescents, aged 12-16 years, were examined. The %BF of the participants was measured by bioelectrical impedance analysis. Echocardiography and brachial artery pulse tracing were used to estimate the stroke volume (SV), cardiac output (CO), total vascular resistance (TVR), and total arterial compliance (TAC). Results: We noted that BMI, WHR, and %BF were positively correlated with systolic blood pressure (SBP) and diastolic blood pressure (DBP). The positive correlation between BMI and blood pressure (SBP and DBP) persisted after adjustment for WHR and %BF. However, after adjustment for BMI, the positive associations between blood pressure (SBP and DBP) and WHR as well as %BF, were not noted. With regard to the hemodynamic factors, BMI, but not WHR and %BF, was an independent positive factor correlated with SV and CO. TVR had an independent negative association with BMI; however, it was not associated with WHR or %BF. Moreover, we noted that BMI, WHR, and %BF did not affect TAC. Conclusion: In Korean adolescents, BMI had an independent positive correlation with SBP and DBP, possibly because of its effects on SV, CO, and TVR. WHR and %BF are believed to indirectly affect SBP and DBP through changes in BMI.
Objectives: We investigated the associations of sarcopenia-defined both in terms of muscle mass and muscle strength-and sarcopenic obesity with metabolic syndrome. Methods: Secondary data pertaining to 309 subjects (85 men and 224 women) were collected from participants in exercise programs at a health center in a suburban area. Muscle mass was measured using bioelectrical impedance analysis, and muscle strength was measured via handgrip strength. Sarcopenia based on muscle mass alone was defined as a weight-adjusted skeletal muscle mass index more than two standard deviations below the mean of a sex-specific young reference group (class II sarcopenia). Two cut-off values for low handgrip strength were used: the first criteria were <26 kg for men and <18 kg for women, and the second criteria were the lowest quintile of handgrip strength among the study subjects. Sarcopenic obesity was defined as the combination of class II sarcopenia and being in the two highest quintiles of total body fat percentage among the subjects. The associations of sarcopenia and sarcopenic obesity with metabolic syndrome were evaluated using logistic regression models. Results: The age-adjusted risk ratios (RRs) of metabolic syndrome being compared in people with or without sarcopenia defined in terms of muscle mass were 1.25 (95% confidence interval [CI], 1.06 to 1.47, p=0.008) in men and 1.12 (95% CI, 1.06 to 1.19, p<0.001) in women, which were found to be statistically significant relationships. The RRs of metabolic syndrome being compared in people with or without sarcopenic obesity were 1.31 in men (95% CI, 1.10 to 1.56, p=0.003) and 1.17 in women (95% CI, 1.10 to 1.25, p<0.001), which were likewise found to be statistically significant relationships. Conclusions: The associations of sarcopenia defined in terms of muscle mass and sarcopenic obesity with metabolic syndrome were statistically significant in both men and women. Therefore, sarcopenia and sarcopenic obesity must be considered as part of the community-based management of non-communicable diseases.
Prevalence of an obese population has been increasing in Korea. Obesity is considered a major risk factor for chronic degenerative diseases. Specifically, prevalence of obesity is prominent for adult woman in Korea. In many weight control programs, weight change did not often show any beneficial effects for health. These facts discourage people in the program. Thus in this study, the anthropometry, blood pressure, serum biochemical indices and dietary habits were compared by percent body fat change for adult women to show the beneficial effects of the weight control program. Study subjects were 134. Measurements were done before and after the weight control program. Percent Body Fat (PBF) was measured by bioelectrical impedance analysis. Using PBF changes, subjects were grouped as I (more than 1% increase), M (${\pm}1%$ change), and D (more than 1% decrease). Data were analyzed using SPSS 12.0 program. Among the 134 participants, 13 increased their weight and 100 decreased. For PBF, 19 increased and 59 decreased. Statistical significant differences were shown for anthropometric assessments before and after for all weight, fat mass, percent body fat, waist-hip ratio and body mass index. I had increases, and D shows decreases. But the difference of D is large than M. Systolic and diastolic blood pressures decreased in all groups (p < 0.05). Fasting blood glucose decreased in all groups but were statistically significant only in D. Also triglyceride decreased in D (p < 0.05). Thus health conditions showed desirable changes in I < M < D in order. Dietary habit changes were desirable with only D. Weight, BMI and other indicators for obesity is not the real indicator for PBF. Recently it is easy to measure PBF. Thus, for weight control programs and to show benefits of the program, PBF is a good indicator for adult women in Korea.
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