In the first session, participants’ anthropometric data was collected. Body mass was measured to the nearest 0.1 kg using a segmental body composition analyser (TBF-300A) (Tanita Corporation, Tokyo, Japan). Height was measured to the nearest 0.1 cm using a portable stadiometer (Seca 213) (Seca, Hamburg, Germany). Body composition was measured using a segmental body composition analyser (TBF-300A) (Tanita Corporation, Tokyo, Japan). In a fasted state, participants then completed an exercise test to volitional fatigue to measure maximal workload (Wmax). Wmax is defined as the total W of the final completed workload [15 (link)]. On a Lode cycle ergometer, participants commenced the test at 95 W which was increased by 35 W every three minutes until fatigue [15 (link)]. Heart rate (HR) was continuously recorded throughout the test. Each participant’s Wmax value was used in the subsequent cycling time trials in sessions 2–8. Following a two-hour break, participants completed a Food Frequency Questionnaire (FFQ) (this version was adapted from the 1995 Australian National Nutrition Survey FFQ [53 ]) to quantify dietary intake. Also, participants had their taste function assessed.
Tbf 300a
Manufactured by Tanita
Sourced in Japan, United States, United Kingdom, Israel
The TBF-300A is a body composition analyzer that utilizes bioelectrical impedance analysis (BIA) technology to measure various body composition parameters. It provides detailed information about body fat percentage, muscle mass, and other related metrics.
Automatically generated - may contain errors
Lab products found in correlation
Free standing stadiometer, by Seca (5 mentions)
Caliper, by Holtain (5 mentions)
Child cuffs, by Omron (4 mentions)
Model 213, by Seca (3 mentions)
Model 201, by Seca (2 mentions)
Hr 200, by Tanita (2 mentions)
Portable, by Seca (2 mentions)
Model 876, by Seca (2 mentions)
Hem 780, by Omron (1 mentions)
Hem 907, by Omron (1 mentions)
Hem 7200, by Omron (1 mentions)
200 measuring tape, by Seca (1 mentions)
Discovery model a, by Hologic (1 mentions)
M6 comfort, by Omron (1 mentions)
Jamar, by Lafayette Instrument (1 mentions)
Discovery a, by Hologic (1 mentions)
Model 881, by Seca (1 mentions)
Hem 705cp, by Omron (1 mentions)
Logiq e, by GE Healthcare (1 mentions)
Tanner whitehouse skinfold calliper, by Holtain (1 mentions)
84 protocols using tbf 300a
1
Comprehensive Baseline Assessment Protocol
2
Hydration Assessment in Athletes
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Hydration status was characterized using a Ucol chart (Human Kinetics, Champaign, IL), Usg (refractometer model REF 312, Atago Company Ltd., Tokyo, Japan), and %BM (Tanita TBF-300A, Tanita Corporation, Tokyo, Japan). Dehydration was defined as >1% BM loss from pre-practice weight, a Usg ≥ 1.020, and/or Ucol shade ≥4 [7 (link)].
3
Anthropometric Measurements Protocol
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Weight, height, and waist circumference were measured by a member of the research team in a private room while wearing light clothing but no shoes. Body weight was measured in kilograms using the Tanita TBF-300A (Tanita Corporation) digital scale. Height was measured in centimeters using a Seca 213 portable stadiometer. BMI was calculated as weight in kilograms divided by height squared (in meters).
4
Anthropometric Measurements Protocol
5
Anthropometric Measurements of Children
6
Anthropometric and Body Composition Assessment
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Each woman was characterized for total body weight, height, BMI, waist and hip circumferences, and waist-to-hip ratio. The body fat mass (absolute value and fat mass percentage of total body weight) was assessed by bioelectrical impedance (Tanita TBF-300A, Tanita Europe B.V., Hoofddorp, The Netherlands).
7
Anthropometric Measurements and Body Composition
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Height and weight were measured and BMI was calculated (24) . WC was obtained following standardised procedures (25) . Percentage of body fat was estimated by bioelectrical impedance with a Tanita TBF-300A body composition analyser (Tanita Corporation).
8
Anthropometric Measurements in Children
9
Anthropometric Measurements in Children
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Height was measured with a free-standing stadiometer (Seca, Birmingham, UK); weight and percent body fat were measured via bioelectrical impedance (Tanita TBF 300A, Arlington Heights, IL). BMI z-scores and percentiles were determined using CDC cut-points for age and sex [27 ]. Blood pressure (BP) was measured with an automated monitor with appropriate child cuffs (Omron, Schaumberg, IL), and waist circumference (WC) measures followed NHANES protocol [28 ].
10
Childhood Obesity Assessment Protocol
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Date of birth was self-reported and age was calculated from the measurement date. Height was measured to the nearest 0.1 cm (Leicester height measure, Chasmors Ltd., Leicester, UK). A non-segmental bio-impedance scale (Tanita, type TBF-300A, Tokyo, Japan) was used to measure weight to the nearest 0.1 kg with children dressed in light clothing. Body mass index (BMI) (kg/m2) was calculated and age-standardised BMI was derived. Obesity status was dichotomised (non-overweight vs. overweight/obese) based on sex- and age-dependent cut points [31] (link).
At baseline parent/guardians self-reported their highest educational qualification; this was used as a proxy measure of socioeconomic status. A categorical variable (parent/guardian education level) with 3 groups was created, ‘GCSE or lower’ (i.e. no educational qualification, school leaving certificate, General Certificate of Secondary Education; GCSE, or equivalent), ‘A-level or lower vocational training’ and ‘University or higher vocational training’. Children were excluded from analyses if they had missing data at baseline for age (n = 0/415), sex (n = 0/415), BMI (n = 2/415), or parent/guardian education level (n = 14/415).
At baseline parent/guardians self-reported their highest educational qualification; this was used as a proxy measure of socioeconomic status. A categorical variable (parent/guardian education level) with 3 groups was created, ‘GCSE or lower’ (i.e. no educational qualification, school leaving certificate, General Certificate of Secondary Education; GCSE, or equivalent), ‘A-level or lower vocational training’ and ‘University or higher vocational training’. Children were excluded from analyses if they had missing data at baseline for age (n = 0/415), sex (n = 0/415), BMI (n = 2/415), or parent/guardian education level (n = 14/415).
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