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Bc 558 ironman segmental body composition monitor

Manufactured by Tanita
Sourced in Japan, United States

The BC-558 IRONMAN® Segmental Body Composition Monitor is a professional-grade device designed to measure various body composition parameters. It utilizes Bioelectrical Impedance Analysis (BIA) technology to provide detailed information about the user's body composition, including body fat percentage, muscle mass, and other related metrics.

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8 protocols using bc 558 ironman segmental body composition monitor

1

Anthropometric Measurements Protocol

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Participants self-reported date of birth, sex, and race/ethnicity on a demographic questionnaire. Height was measured to the nearest 0.1 cm using a Seca stadiometer (Seca, Hamburg, Germany) while weight and body fat percentage were assessed via the Tanita BC-558 IRONMAN® Segmental Body Composition Monitor (Tanita, Tokyo, Japan). Body mass index (BMI) was then calculated as weight [kg]/height [m2] (Centers for Disease Control and Prevention, 2017 ). Waist circumference was measured to the nearest 0.1 cm using a retractable medical tape in the standing position at the level of the umbilicus.
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2

Anthropometric Assessment of Endurance Runners

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The participants’ height and weight were measured to calculate their body mass index (BMI; kg/m2). Height was assessed using a Seca stadiometer (Seca, Hamburg, Germany). Weight was measured to the nearest 10th of a kilogram using a Tanita BC-558 IRONMAN® Segmental Body Composition Monitor (Tanita, Tokyo, Japan).
In addition, participants’ age and general information about their training (i.e., average weekly training distance, duration of long-distance training) and past marathon experiences (i.e., number of participations, most recent completion time) were self-reported.
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3

Assessing Muscle Mass and Strength

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Total muscle mass was derived from bioelectrical impedance analysis with the BC-558 Ironman Segmental Body Composition Monitor (Tanita Corporation, Arlington Heights, IL, USA) and expressed in pounds (lb). Impendence measurements of muscle mass using Tanita scales have 90% correlation with dual energy X-ray absorptiometry.22 (link) Handgrip strength was measured with a handheld dynamometer (Baseline® Digital Smedley Spring Dynamometer; Patterson Medical, Warrenville, IL, USA) and expressed in lb. One measurement was taken for each hand using maximal effort, and the mean of the two measurements was used in data analysis. Due to its correlation to other strength measures, handgrip strength is often used in aging studies as an indicator of overall muscle strength.23
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4

Anthropometric Measurements of Children

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The participants’ demographic information, including date of birth, gender, race/ethnicity, and disability status, were collected from school records with the parents’ consent for descriptive purposes. Additionally, height was collected to the nearest half-centimeter using a Seca stadiometer (Seca, Hamburg, Germany) and weight was measured to the nearest 0.1 kg (100 gr) using a Tanita BC-558 IRONMAN® Segmental Body Composition Monitor (Tanita, Tokyo, Japan) digital weight scale. Body mass index (BMI) was calculated using the weight in kilograms divided by the height in meters squared of the children. BMI z-scores were calculated using the built-in function (i.e., zanthro) from STATA (version 15.0; StataCorp, College Station, TX, USA).
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5

Factors Associated with Physical and Cognitive Function

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Potentially important covariates were included in the analyses: increasing age (in years), gender (Female vs. Male) and racial/ethnicity status (1=Non-Hispanic White; 2=Non-Hispanic Black; 3=Hispanic). Education was not included as a covariate due to its collinearity with racial/ethnicity status in this sample. Body Mass Index (BMI=weight/height2); proportion visceral fat and muscle mass (expressed in lbs.) derived from bioelectrical impedance analysis with the BC-558 Ironman Segmental Body Composition Monitor (Tanita Corporation, Arlinton Heights, IL); abdominal and hip girth were measured and their ratio was used as a covariate; and total number of co-morbid medical conditions (including cardiovascular risk factors and conditions spanning multiple body systems) ascertained by self-report as part of medical history. Finally, given the co-existence of depressive symptomatology with poor physical22 (link) and cognitive function23 (link), we also included depression as measured by the Hospital Anxiety and Depression Scale (HADS)24 (link) as a covariate.
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6

Body Composition Measurements in Athletic Settings

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Energy status was inferred via measurements of body mass, body fat percentage, and lean muscle mass were made at each data collection checkpoint using the Tanita BC-558 Ironman Segmental Body Composition Monitor bioelectrical impedance scale (Tanita Corporation, Arlington Heights, IL). The athletic setting was chosen for these measurements due to the increased fitness achieved throughout courses and to maintain measurement consistency. The Tanita equations are unpublished. Measurements were taken in the morning before participants consumed a meal at each transition point to the next section, though due to logistical constraints, measurements could not be taken at a consistent time of day. Of the total 346 observations, 6 observations for lean muscle mass and body fat were missing.
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7

Anthropometric Measurements Protocol

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Trained research assistants measured height to the nearest half-centimeter using a Seca stadiometer (Seca, Chino, CA, USA), after which weight and body fat percentage were measured via bioelectrical impedance using the Tanita BC-558 IRONMAN® Segmental Body Composition Monitor (Tanita, Tokyo, Japan) digital weight scale.
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8

Comprehensive Physical Evaluation Protocol

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A brief physical evaluation was performed. Sitting blood pressure was measured and reported as mean arterial pressure (MAP). Anthropometric measurements by bioimpedance with the BC-558 Ironman Segmental Body Composition Monitor (Tanita Corporation, Arlington Heights, IL, USA) were used to derive body mass index, muscle mass, basal metabolic rate (BMR) and metabolic age (a comparison of the participant’s BMR against the age-predicted BMR) [25 (link), 26 (link)]. Grip Strength Handgrip strength was measured with a handheld dynamometer (Baseline Digital Smedley Spring Dynamometer; Patterson Medical, Warrenville, IL) in each hand and expressed in kilograms (kg) and mean grip strength was calculated. The modified Mini Physical Performance Test (mPPT) was used to provide an objective rating of physical performance [27 (link)]. The mPPT includes 4 tasks (bending over, progressive Romberg, time walk, and chair rise) with a score range of 0–16, with higher scores suggesting higher physical functionality
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