Body composition analyser

Manufactured by Tanita

Sourced in Japan

The Tanita Body Composition Analyzer is a device that measures various body composition metrics, including body fat percentage, muscle mass, and body water percentage. It provides accurate and reliable data to assist in health and fitness assessments.

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Lab products found in correlation

Bc 418ma, by Tanita (1 mentions) Logiq 9 machine, by GE Healthcare (1 mentions) Stadiometer, by Seca (1 mentions)

Spelling variants of this product

BC418MA body composition analyser (33 citations) BC-418 body composition analyser (13 citations) SC-330 Body Composition Analyser (7 citations) SC-240 Body Composition Analyser (4 citations) Body Composition Analyser MC-980 (4 citations) BC-418 Segmental Body Composition Analyser (4 citations) TANITA BF-350 body composition analyser (2 citations) TBF-300MA body composition analyser (2 citations) Body Composition Analyser MC-418 (2 citations) BV-418 MA body composition analyser (2 citations)

13 protocols using body composition analyser

3D Body Scanning for Anthropometric Analysis

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Participants were first scanned using the 3dMD body scanner. During the 20 s scan, participants were asked to stand in the centre of the space around which the cameras were distributed, with their feet shoulder-width apart. To capture a range of arm positions, participants were asked to slowly raise their arms to shoulder level with their hands in a fist. Participants were provided with tight-fitting, grey underwear in a range of sizes to ensure that body shape was not disguised by clothing. Men were asked to wear boxer-style shorts while women wore a sports bra and shorts (see Fig. 2). Next, standing height was measured (to the nearest centimetre) using a stadiometer after participants were instructed to stand up straight and face forward. Lastly, body composition measurements were taken using the Tanita body composition analyser. This process lasted approximately 20 minutes.Fig. 2

The top row (a) presents two female and two male 3D body scans prior to Wrap 3 processing. The bottom row (b) shows the template base mesh with 36 preselected landmarks

Maalin N., Mohamed S., Kramer R.S., Cornelissen P.L., Martin D, & Tovée M.J. (2020). Beyond BMI for self-estimates of body size and shape: A new method for developing stimuli correctly calibrated for body composition. Behavior Research Methods, 53(3), 1308-1321.

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Body Composition Measurement by BIA

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Body composition was also measured using single-frequency eight-electrode BIA (Tanita-BC 418 MA). Participants were barefoot, wearing light clothes and asked to empty pockets and remove any metal objects. The Tanita body composition analyser measures body composition using a constant current source at a frequency of 50 kHz and provides impedance (Z) measured in ohms. Fat percentage, FM and FFM are produced by regression algorithms generated by the manufacturer, the details of which are not available, though it is described that the algorithms are based on data from ‘Western’ and Japanese individuals⁽¹⁹ ⁾. BIA assessment was available for all participants recruited at Jimma University Specialised Hospital and the health centre in Jimma, but for logistic reasons only for some of the participants attending the health centre in Agaro.

Hegelund M.H., Wells J.C., Girma T., Faurholt-Jepsen D., Zerfu D., Christensen D.L., Friis H, & Olsen M.F. (2017). Validation of bioelectrical impedance analysis in Ethiopian adults with HIV. Journal of Nutritional Science, 6, e62.

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Bioimpedance and Ultrasonography for Body Composition

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Fat percentage and weight was measured by bioelectrical impedance using a Tanita Body Composition Analyser. Height was measured to the nearest 0.1 cm with a stadiometer (Seca, Medical Scales and Measuring Systems) with the participant wearing light indoor clothing but no shoes. BMI was defined as weight (kg) divided by height (m) squared. WC was measured to the nearest 0.1 cm. Visceral fat was defined as the depth in cm from the peritoneum to the lumbar spine and was assessed by ultrasonography (Logiq 9 machine, GE Healthcare), with the participant lying down. Validation studies have demonstrated ultrasonography assessments to correlate strongly with CT‐assessment of visceral fat depots,²⁹, ³⁰ supporting validity of this method. The measurement was made where the xyphoid line crosses the waistline and was measured using a 4C abdominal convex transducer placed longitudinally. Scan depth was individually set for each image. Information on subcutaneous fat was obtained likewise but defined as the depth in cm from the skin to the Linea Alba.

Andersen M.M., Laurberg T., Bjerregaard A., Sandbæk A., Brage S., Vistisen D., Quist J.S., Bruun J.M, & Witte D.R. (2022). The association between sleep duration and detailed measures of obesity: A cross sectional analysis in the ADDITION‐PRO study. Obesity Science & Practice, 9(3), 226-234.

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Chemotherapy Impact on Body Composition

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Standard of care chemotherapy consisted of four 21-day cycles of AC, followed by administration of paclitaxel for twelve 7-day (weekly) cycles. Body morphometry measures (including body mass index (BMI) and body fat percentage using bioelectrical impedance analysis (BIA) on the Tanita Body Composition Analyser (Wedderburn, Hornby, Christchurch, NZ)), in vivo CYP phenotyping using the Inje cocktail (performed as described herein below), and two red-top 5 mL plain tubes (BD CAT coagulation) of blood were collected for inflammatory marker analysis prior to AC cycle 1 day 1 (baseline) and dose 6 day 7 of paclitaxel. The red-top tubes were processed to collect serum and frozen at -80 °C for subsequent inflammatory cytokine analysis. FitBit One devices were worn (unless specified in a device removal journal) following cycle 1 day 1 AC for 21 days, dose 1 day 1 of paclitaxel for 7 days, and dose 6 day 1 of paclitaxel for 7 days.

Crake R.L., Strother M.R., Phillips E., Doogue M.P., Zhang M., Frampton C.M., Robinson B.A, & Currie M.J. (2021). Influence of serum inflammatory cytokines on cytochrome P450 drug metabolising activity during breast cancer chemotherapy: a patient feasibility study. Scientific Reports, 11, 5648.

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Anthropometric Measurements in Children and Adults

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Height was measured with a portable stadiometer to the nearest 0·1 cm. An electronic scale (Tanita Body Composition Analyser, Tokyo, Japan) measured weight to the nearest 0·1 kg. All measurements were conducted without shoes and in light clothing. Child height and weight values were converted to Z-scores and percentiles using the parameters of the Centers for Disease Control and Prevention⁽¹⁵⁾. Percentiles were included because of their use in clinical settings. Overweight for children was defined as a BMI≥85th percentile and obesity as a BMI≥95th percentile⁽¹⁶⁾. Adult BMI (kg/m²) was classified according to the Centers for Disease Control and Prevention criteria⁽¹⁷⁾. Measured height and self-reported pre-pregnancy weight were recorded for pregnant adults.

Tomayko E.J., Prince R.J., Cronin K.A, & Adams A.K. (2016). The Healthy Children, Strong Families intervention promotes improvements in nutrition, activity and body weight in American Indian families with young children. Public Health Nutrition, 19(15), 2850-2859.

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Anthropometric Assessment of Body Composition

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All participants underwent detailed physical examination, measurement of waist, hip and neck circumferences and bioelectrical impedance analysis (BIA) using a Tanita body composition analyser. A 7-site skinfold measurement using Harpenden calipers was performed encompassing triceps, biceps, subscapular, suprailiac (otherwise known as supraspinale), abdomen, thigh, and calf of the right side of the body. The anatomy landmarks were as described in the international standards for anthropometric assessment, recommended by the International Society for the Advancement of Kinanthropometry [15 ]. The mean of two skinfold readings for each of the seven sites was calculated. To minimise inter-observer variability, the measurements were performed by either of the two trained personnel. The sum of 7-site skinfolds was calculated. The calculated skinfold ratios were subscapular to thigh ratio, subscapular to calf ratio, suprailiac to thigh ratio, and suprailiac to calf ratio.

Loh W.J., Yaligar J., Hooper A.J., Sadananthan S.A., Kway Y., Lim S.C., Watts G.F., Velan S.S., Leow M.K, & Khoo J. (2024). Clinical and imaging features of women with polygenic partial lipodystrophy: a case series. Nutrition & Diabetes, 14, 3.

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Bioelectrical Impedance Analysis for Body Composition

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Body composition was estimated using whole-body, upright, single-frequency (SF)-BIA (Tanita BC-554, Tanita Corp, Tokyo, Japan). All participants were measured in lightweight clothing and standing barefoot on the metal footpads. To measure the bio-impedance, a very low, safe electrical signal is sent from four metal electrodes through the feet to the legs and abdomen. The Tanita BIA uses a SF-BIA at 50 kHz which predominately measures extracellular water and approximately 25% of intracellular water. Participant information entered into the system to enable the computing of the BIA algorithms, included gender, age, height and weight. Body fat mass percentage (BF) and visceral fat level (VFL) were recorded as the mean value of two repeated measurements. The time interval between the BIA and QCT measurements did not exceed 7 days. The Tanita body composition analyser gave a range of VFL rating between 1 and 59. According to the manufacturer’s information, a rating between 1 and 12 indicates a healthy level of visceral fat, whereas a rating between 13 and 59 indicates excess visceral fat. The reproducibility of estimated values using this BIA system have been reported previously.18 19 (link)

Xu Z., Liu Y., Yan C., Yang R., Xu L., Guo Z., Yu A., Cheng X., Ma L., Hu C., Guglielmi G, & Hind K. (2021). Measurement of visceral fat and abdominal obesity by single-frequency bioelectrical impedance and CT: a cross-sectional study. BMJ Open, 11(10), e048221.

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Body Composition Measurement Protocol

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Body weight will be recorded in kilograms using calibrated, electronic scales to the nearest 0.1 kg where possible. Weight will be measured at all outcome assessment visits. Height will be recorded in metres using a stadiometer and measured to the nearest 0.01 m where possible. The recordings for weight and height will be subsequently used to calculate BMI by dividing weight (kg) by height (m²). BMI will be calculated at baseline and end of study visits. Body composition will be measured by bioelectrical impedance. A Tanita Body Composition analyser will be used to measure body fat percentage and classification, segmental subcutaneous fat and skeletal muscle percentage (whole body, trunk, legs and arms), resting metabolism, visceral fat level and classification and body age. Body composition will be measured at baseline and end of study visits.

McGrattan A., Mohan D., Chua P.W., Mat Hussin A., Soh Y.C., Alawad M., bin Kassim Z., bin Mohd Ghazali A.N., Stephan B., Allotey P., Reidpath D.D., Robinson L, & Siervo M. (2020). Feasibility and acceptability of a dietary intervention study to reduce salt intake and increase high-nitrate vegetable consumption among middle-aged and older Malaysian adults with elevated blood pressure: a study protocol. BMJ Open, 10(8), e035453.

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Anthropometric Measures and Obesity Indices

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We measured height, weight, body mass index (BMI), neck length, percentage predicted neck circumference (PPNC), waist and hip circumference. BMI was calculated as weight in kilograms (kg) divided by height in meters squared (m²) and the range of values according to Indian standards are: <18.5-underweight, 18.5–22.9 = normal, 23–24.9 = overweight, 25–29.9 = moderate obesity, 30–34.9 kg/m2 = severe obesity. Percentage predicted neck circumference (PPNC) was calculated using Davies and Stradling formula ie PPNC = 100 x NC/0.55 × 4 + 310. Height was measured using a stadiometer and weight was measured using Tanita body composition analyser.

Raut S., Gupta G., Narang R., Ray A., Pandey R.M., Malhotra A, & Sinha S. (2020). The impact of obstructive sleep apnoea severity on cardiac structure and injury. Sleep medicine, 77, 58-65.

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Healthy Weight Adults Program Analysis

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This study was an analysis of the operational data from the Healthy Weight Adults programme. The following anthropometric measures were taken at registration (week 1), programme completion (week 12) and then at each reunion; height (Seca 213 Portable Height Measure), waist circumference (Seca measurement tape), weight, fat mass, muscle mass, visceral fat and metabolic age (Tanita Body Composition Analyser). On entry to the programme, the advisor completes a registration form and check list with each participant. This includes asking information about previous or ongoing weight management strategies, importance of making long-term changes, realistic weight-loss goals and commitment to completing the programme. The registration form captures participant demographic characteristics including, age, gender, ethnicity, level of deprivation (22) and presence of any disability. Participant peak flow, systolic and diastolic blood pressure were also taken (using CareFusion PulmoLife COPD Screening Device and the Omron 705IT, respectively) during registration and on completion of the programme.
Participant physical activity was assessed during the programme using the validated New Zealand Physical Activity Questionnaires and dietary behaviour using the validated Short Form Food Frequency Questionnaire, but these measures are not included in the current study.

Williams A.J., Barter T, & Sharpe R.A. (2020). Lessons from a publicly funded tier 2 healthy weight programme in Cornwall, UK. Journal of public health (Oxford, England), 42(1).

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