Estimation of whole-body skeletal muscle mass by bioelectrical impedance analysis in the standing position

Oshima, Yoshitake; Shiga, Tohru; Namba, Hideyuki; Kuno, Shinya

doi:10.1016/j.orcp.2009.06.001

Cited by 24 publications

(22 citation statements)

References 16 publications

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“…The waist circumference was measured three times to the nearest 0.1 cm at the mid-point between the lower costal margin and the iliac crest using a calibrated measuring tape. A bioelectrical impedance measurement instrument (Karada Scan HBF354, 50 kHz, 500 mA; Omron Healthcare Co., Ltd., Kyoto, Japan) was used to measure body fat and muscle (Oshima et al, 2010). …”

Section: Exercise Programmentioning

confidence: 99%

A Comparison of the Influences of Soy- vs. Wheat-based Supplements on Weight Loss in Middle-aged Subjects

Suga

Tanabe

Kim

et al. 2013

Int. J. Sport Health Sci.

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The purpose of this study was to investigate the comparison and in‰uence of soy-based foods and wheat-based foods on weight loss. Fifty healthy participants were randomly assigned to either the soy group (n＝24) or the wheat group(n＝26). The intervention program was performed for eight weeks. The nutritional supplement was taken before dinner every day, and aerobic exercise and weight training were performed twice a week. Body weight, waist circumference, lipids, glucose, and insulin were measured before and after the intervention. Thirtyeight subjects completed the study (soy group: n＝17, wheat group: n＝21). At the end of the eight-week intervention, the mean weight of the soy group decreased signiˆcantly from 73.4± 9.4 kg to 69.0±9.8 kg, and the mean weight of the wheat group decreased signiˆcantly from 75.5±10.7 kg to 72.7±11.0 kg. There was a time and group interaction, and the relative decrease in weight from pre-to post-intervention was greater in the soy group than the wheat group. Our data suggested that each group signiˆcantly lost weight but that the weight loss was more signiˆcant in the soy group.

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Section: Exercise Programmentioning

confidence: 99%

A Comparison of the Influences of Soy- vs. Wheat-based Supplements on Weight Loss in Middle-aged Subjects

Suga

Tanabe

Kim

et al. 2013

Int. J. Sport Health Sci.

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“…Muscles consist of skeletal muscles, smooth muscles and cardiac muscles, and only skeletal muscles may be increased through exercise. When the skeletal muscle mass decreases, less energy is consumed, resulting in a reduced basal metabolism (19)(20)(21)(22)37). The present findings demonstrated that, in patients with pancreatobiliary cancer, there is little change in the skeletal muscle rate compared to the body fat rate.…”

Section: Discussionmentioning

confidence: 52%

“…At each visit for chemotherapy, the total weight (kg), body fat rate (%), skeletal muscle rate (%), body mass index (BMI), and basal metabolism of the subjects were measured as body composition parameters using a BI method-based body weight/body composition monitor (Karada Scan HBF-375; Omron Corporation, Kyoto, Japan). When using this measurement method, an electric microcurrent was applied with the patient in a standing position, between the hands and feet to the whole body, including the abdomen; measurements were obtained by subtracting the impedance value between both hands from the impedance value of the whole body (18,19). Following the acquisition of these values, the measurement was calculated by factoring in the height, weight, age, gender and basic physical data of the patients; Omron (http://www.omron.…”

Section: Methodsmentioning

confidence: 99%

“…Following the acquisition of these values, the measurement was calculated by factoring in the height, weight, age, gender and basic physical data of the patients; Omron (http://www.omron. com/) has used research information from several hundred subjects using the hydrodensitometry method to develop the formulas by which the Omron composition monitor calculates the various body composition rates (19)(20)(21)(22)(23)(24)(25)(26)(27)(28). In the current study, a retrospective analysis was conducted of the associations between the measurement results (i.e., the aforementioned body composition parameters) and various other factors, including the following: Relative dose intensity (RDI; dose intensity / planned dose intensity x 100) of the GEM; adverse events [according to Common Terminology Criteria for Adverse Events (CTCAE) version 4.03; U.S. Department of Health and Human Service, National Institutes of Health and National Cancer Institute]; ECOG performance status (PS); and progression of the pathological conditions in the subjects evaluated by Response Evaluation Criteria in Solid Tumors guidelines, version 1.1 (29).…”

Section: Methodsmentioning

confidence: 99%

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Measuring body composition using the bioelectrical impedance method can predict the outcomes of gemcitabine-based chemotherapy in patients with pancreatobiliary tract cancer

et al. 2015

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Abstract. In order to examine the effect on body composition of anticancer drug treatments, the body composition rate in patients being treated with gemcitabine (GEM)-based chemotherapy was measured over time on an outpatient basis with a simple body composition monitor using the bioelectrical impedance (BI) method. The results revealed a significant reduction in the body fat rate (P=0.01) over the course of treatment in patients with pancreatobiliary tract cancer who became unable to continue GEM-based chemotherapy due to progressive disease or a decreased performance status. Meanwhile, no changes were observed in the body composition of control patients with urothelial carcinoma receiving GEM-based chemotherapy. In association with the adverse reactions to GEM and the hematotoxicity profile, a decreased white blood cell count was more likely to occur in body fat-dominant patients (mean fat rate, 25.8%; mean muscle rate, 26.2%), whereas a decreased blood platelet count was more likely to occur in skeletal muscle-dominant patients (mean fat rate, 23.3%; mean muscle rates, 28.7%). The correlation between body composition parameters and the relative dose intensity (RDI) associated with GEM administration was also analyzed. The results revealed a positive correlation between the RDI and basal metabolism amount (P=0.03); however, the RDI did not correlate with the body fat rate, skeletal muscle rate or body mass index (P=0.61, P=0.14 and P=0.20, respectively).In conclusion, the body composition rate measurement using the BI method over time may be useful for predicting the outcome of GEM-based chemotherapy and adverse events in patients with pancreatobiliary tract cancer. In particular, the present findings indicate that the changes in body fat rate may be helpful as an adjunct index for assessing potential continuation of chemotherapy and changes in physical conditions.

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“…Tanaka et al 40) reported that a segmental BIA can predict whole-body skeletal muscle volume more accurately than a whole-body BIA. Oshima et al 41) attempted to estimate the whole-body skeletal muscle mass by BIA in the standing position. The volume of the skeletal muscle obtained using MRI was made into a reasonable standard, and the measurement which deduces skeletal muscle volume simply was examined by using various kinds of anthropometric variables and impedance values or IPI (L 2 /Z) as an independent variable.…”

Section: Measurement Of Muscle Massmentioning

confidence: 99%

Application of bioelectrical impedance to sports science

Komiya

2012

JPFSM

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Bioelectrical impedance analysis (BIA) involves passing a weak, high-frequency current through the body in order to measure variables such as tissue volume, or the volume of blood, on the basis of electrical resistance. Biometric measurements using BIA date back to the beginning of the 20th century; and since then there have been many technical refinements. BIA is non-invasive, it excels in terms of cost and safety, and it does not require any special measurement skills. It has therefore become an outstanding measurement tool for a range of body composition assessments in areas such as large-scale population studies or sports science. There have already been numerous reports of studies of BIA, and its contribution to sports science is well recognized, so that many researchers have demonstrated an interest in using BIA. However, while BIA is easier to operate than other measurement tools, it requires basic knowledge and precise methodology in order to properly interpret the data. This review summarizes the theory of measuring tissues related to exercise, the method of measuring cardiac output, and the method of estimating skeletal muscle mass. First, while the measurement, by BIA, of cardiac output (CO) at rest yields stable results, previous measurements during dynamic exercise had several limitations. CO measurement during intense exercise has recently become possible as a result of improvements to fast Fourier transform (FFT) and the algorithms. Moreover, the water content and fat mass of the body can now be calculated in terms of electrical models in which resistors and capacitors are arranged in series or in parallel, and cells and tissues have been simplified as far as possible. Finally, new estimation equations using single-frequency BIA and multi-frequency BIA have been developed for measurement of skeletal muscle mass in the limbs, and each are reported to have high reliability and high reproducibility. Development of simple, highly accurate measuring instruments and methods for vital observation, utilizing BIA, and that can contribute to sports science, is expected.

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Estimation of whole-body skeletal muscle mass by bioelectrical impedance analysis in the standing position

Cited by 24 publications

References 16 publications

A Comparison of the Influences of Soy- vs. Wheat-based Supplements on Weight Loss in Middle-aged Subjects

A Comparison of the Influences of Soy- vs. Wheat-based Supplements on Weight Loss in Middle-aged Subjects

Measuring body composition using the bioelectrical impedance method can predict the outcomes of gemcitabine-based chemotherapy in patients with pancreatobiliary tract cancer

Application of bioelectrical impedance to sports science

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