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Mc 180 ma

Manufactured by Tanita
Sourced in Japan, United Kingdom, United States

The MC 180 MA is a laboratory-grade body composition analyzer from Tanita. It measures body weight, body fat percentage, and body water percentage using bioelectrical impedance analysis (BIA) technology.

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27 protocols using mc 180 ma

1

Measuring Body Composition: Bioelectrical Impedance

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Since body composition is a known covariate of increasing PPO, it is important to assess such changes. Therefore, body composition was determined using standard methods and described elsewhere.[15 ] Body fat assessments were performed with participants hydrated and wearing minimal clothing. Participants stood on a multifrequency bioelectrical impedance device (Tanita MC180MA, Tanita Corp, Tokyo, Japan), ensuring bare feet were in contact with electrodes on the foot plate. This assessed body mass and relative proportions of fat and lean tissue, which were assessed over a 20-minute period, to account for technical variation. The coefficient of variation (CV) for the measurement of body composition total body mass (TBM), fat-free mass (FFM), and fat mass (FM) in our laboratory is <2%.
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2

Multifrequency BIA Measurements for Body Composition

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Resistance (R in ohm) and reactance (Xc in ohm) were measured with a multi-frequency (5, 50, 250 and 500 kHz) stand-on hand-to-foot 8-electrode body composition analyser, Tanita MC-180MA (Tanita, Tokyo, Japan), according to manufacturer’s instructions. Normal, non-athletic body type was chosen for the manufacture’s in-built predictive algorithm. Standard positioning was used as described in the instruction manual in all measurements and skin-to- skin contact was avoided. In brief, participants were asked to stand with bare feet on the electrode panel and hold electrodes in both hands; arms were extended and hung down in a natural standing position with the electrodes in contact with thumb and palm during the measurements. The procedure took approximately 60 seconds. The Tanita BIA8 measures R and Xc of both legs and arms and left side of the trunk. In this study, only R and Xc of the left side of the body (trunk, arm and leg combined) were used in analysis as well as FFM, FM and %BF as provided by the manufacturer’s software.
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3

Bioelectrical Impedance Analysis for Body Composition

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Bioelectrical impedance analysis (BIA) is an inexpensive and non-invasive method for assessing body composition (Pietrobelli et al., 2004 (link)). It is a simple method used in screening field tests (Yamada et al., 2013 (link)). A body monitor, TANITA MC 180 MA (Tanita Corporation, 2005 ), set at a 50-kHz current frequency, was used to obtain BF, MM, and free fat mass (FFM) measurements in the whole body. The distribution of BF and muscle mass (MM) was estimated using segmental bioelectrical impedance analysis (SBIA). Throughout the measurements, standardized conditions for bio-impedance measurement were maintained (Kyle et al., 2004 (link)). The subjects were asked not to undertake any physical activity, drink and eat anything at least 3 hours before the measures, and empty the bladder immediately before the measurement.
The analysis took into account the following elements of body composition: fat mass and muscle mass absolute values (kg).
Based on the body components (absolute values), the following indices were calculated. The fat mass index (FMI) was calculated from a formula like BMI:
FMI=bodyfatmass(kg)bodyheight(m2)
Relative muscle mass (height adjusted muscle mass–SMI) was calculated as follows:
SMI=body skeletal muscle mass (kg)body height (m2)
Muscle to body fat ratio (MFR) was calculated as follows:
MFR=body skeletal muscle mass (kg)body fat mass (kg)
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4

Graded Maximal Exercise Testing Protocol

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The preliminary testing session was performed at the beginning of the follicular stage of the menstrual cycle. Body weight was measured with light clothing and bare feet in a fasting state (Tanita MC-180 MA, Tanita Corporation, Tokyo, Japan). Participants exercised on a stationary cycle ergometer (Monark 839e, Vansbro, Sweden) with a graded workload that increased each stage by 15 watts every 3 min beginning at 25 watts at 60 revolutions per minute (rpm). VO2peak was examined using a pre-calibrated breath-by-breath analysis system (Meta-Max 3B, Cortex Biophysik GmbH, Leipzig, Germany). Heart rate (HR; Polar F4M BLK, Kempele, Finland) and ratings of perceived exertion (RPE; 6–20 Borg scale) were recorded during the graded maximal exercise test. The test was terminated when participants performed to volitional exhaustion, were not able to maintain a pedaling rate of 60 rpm any longer, or RPE reached 18 or higher. The highest VO2 averaged over the final 30 s was identified as the VO2peak. During the familiarization, subjects learned the experimental procedures and practiced the cognition task multiple times until the number of erroneous trials in each session were less than five (one practice session includes 40 trials).
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5

Comprehensive Assessment of Obesity Metrics

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All subjects underwent a comprehensive medical evaluation including medical history, physical examination, and measurement of anthropometric parameters: body weight, body height, waist circumference, and hip circumference according to standardized procedures routinely performed in the Outpatient Clinic at the National Food and Nutrition Institute. The body waist circumference was measured at the midpoint between the lower margin of the last rib cage and the top iliac crest by using a flexible inch tape. An analysis of the body composition by bioelectrical impedance was performed using TANITA MC180MA (Tanita Corporation, Tokyo, Japan) and according to built-in algorithms the following parameters were obtained: body fat mass (kg), free fat mass (kg), and fat mass (%). The free fat mass referred to all of body components (including total body water, muscle mass, bone mass) except fat mass. Measurements were taken in the morning, after an overnight fasting, at the same day or the day before blood samplings. GMON Tanita Professional software (version 3, Tanita Corporation, Tokyo, Japan) was used for the analysis. Based on anthropometric measurements the BMI and waist-hip-ratio (WHR) indexes were calculated [20 (link)]. Obesity was classified according to World Health Organization criteria [21 ] i.e., subjects with BMI ≥ 30 kg/m2 were considered obese.
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6

Anthropometric Measurements for Research

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After blood sampling, anthropometric measures including height (cm), body mass (kg) and body mass index (BMI, kg·m−2) were accessed. Standing height was measured using a wall-mounted stadiometer (with the participant barefoot) and recorded to the nearest 0.1 cm. Body mass was assessed using a bioelectrical impedance analyser (Tanita MC-180 MA, Tanita Corporation, Tokyo, Japan) in light clothing and recorded to the nearest 0.1 kg. BMI (in kg·m−2) was calculated by dividing weight (kg) by height squared (m2).
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7

Anthropometric Measurements Standardization

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Standing height was measured using a wall-mounted stature meter. Waist and hip circumferences were measured using a tape measure. Weight, body mass index and composition were measured using a professional digital scale (Tanita ® MC-180MA, Tanita Corp., Tokyo, Japan).
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8

Functional Fitness Assessment for Older Adults

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The Functional Fitness Test 12 developed by Rikli e Jones 13 that involves lower and upper body strength, aerobic endurance, lower and upper flexibility and motor agility through: "chair stand", "arm curl", "sit and reach", "back scratch", "up and go", "6-minute walk" were performed in order to evaluate the functional capacity.
Height, and body mass were measured by standardized procedures to calculate the body mass index [BMI = weight (Kg)/height (m) 2 ]. Body mass and percentage of body fat were measured simultaneously using Tanita MC 180 MA, a segmental multifrequency body composition monitor (Tanita Company, UK). The abdomen circumference was assessed at the midpoint between the iliac crest and the bottom of the ribcage using a spring-loaded measuring tape.
To measure habitual physical activity, all participants wore an accelerometer MTI Actigraph during seven days, at least 10 hours of using per day. The data were analysed with MAHUffe software using the count cutoffs for elderly people 14 as follow: sedentary time (0-100 min), light activity time (101-1040 min), moderate (1041-2503 min) and vigorous (more than 2540 min). This information was collected only at baseline to associate the initial physical inactivity with depression symptoms.
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9

Comprehensive Body Composition Assessment

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Each subject was examined by a physician. Anthropometric parameters, including an approximation of muscle mass and FAT%, were measured using a stadiometer and four-frequency total body impedance for body composition analysis (Tanita MC 180 MA, Tanita, Tokyo, Japan).
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10

Comprehensive Body Composition Assessment

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Each subject was examined by a physician. Anthropometric parameters, including an approximation of muscle mass and FAT%, were measured using a stadiometer and four-frequency total body impedance for body composition analysis (Tanita MC 180 MA, Tanita, Tokyo, Japan).
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