Body composition analyzer bf 350

Manufactured by Tanita

Sourced in Japan, United States

The TANITA Body Composition Analyzer BF 350 is a device designed to measure body composition. It uses bioelectrical impedance analysis (BIA) technology to estimate body fat percentage, muscle mass, and other related metrics.

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Lab products found in correlation

Automated monitor, by Omron (1 mentions) Hem 780, by Omron (1 mentions) Explorer w, by Hologic (1 mentions) 217 stadiometer, by Seca (1 mentions)

Spelling variants of this product

BF-350 (39 citations) Body composition analyzer (34 citations) BF-350 Total Body Composition Analyzer (2 citations)

12 protocols using body composition analyzer bf 350

Comprehensive Body Composition Assessment

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To obtain data on body composition anthropometry and bio-impedancemetry assessment was performed after voiding bowels and bladder in overnight fasting conditions. For bio-impedancemetry a Tanita body composition analyzer BF 350 (Tanita Corporation. Tokio, Japan) is used. The following anthropometric measurements were performed: height, weight, abdominal circumference, hip circumference, triceps and subscapular skinfolds. Body mass index is calculated from height and weight data as weight Kg/height² (m).
Body weight (Kg) was measured while the participants were wearing light clothing and no shoes with Tanita body composition analyzer BF 350. Height was determined with a stadiometer to the nearest of 0.1 cm.

Gonzales G.F., Tello J., Zevallos-Concha A., Baquerizo L, & Caballero L. (2017). Nitrogen balance after a single oral consumption of Sacha Inchi (Plukenetia volúbilis L) protein compared to soy protein. A randomized study in humans. Toxicology mechanisms and methods, 28(2), 140-147.

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Comprehensive Physiological Measurements

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At each visit, resting heart rate and blood pressure were measured after 10 min of quiet rest in a supine position. Blood pressure was determined by taking duplicate successive measurements using an automated monitor (OMRON Healthcare, Hoofddorp, The Netherlands) with a properly sized arm cuff on the left arm. The average of the two measurements was then recorded. Body mass index (BMI) was calculated by dividing weight (kg) by the square of height (m), while body surface area (BSA) was calculated using the Mosteller formula [19 (link)]. To measure body fat percentage, a tetrapolar bioelectrical impedance analysis was performed using the Tanita Body Composition Analyzer BF-350 (Tanita Corporation, USA).

Hodzic A., Gendron P., Baron E., Éthier A., Bonnefous O., Saloux E., Milliez P., Normand H, & Tournoux F. (2024). Inter-season training effects on cardiovascular health in American-style football players. BMC Sports Science, Medicine and Rehabilitation, 16, 108.

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Anthropometric Measurements in Intervention Study

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Anthropometric measurements such as body weight and height were performed on each volunteer. Body weight (Kg) was measured while the participants were wearing light clothing and no shoes with a TANITA Body Composition Analyzer BF 350 (Tanita Corporation, Tokyo, Japan). Height was determined with a stadiometer to the nearest 0.1 cm. With these data, body mass index (BMI) was calculated in kg/m².
Weights of the subjects were at the same time of day at the start of the study and after four, eight, and 12 weeks of interventions.

Gonzales-Arimborgo C., Yupanqui I., Montero E., Alarcón-Yaquetto D.E., Zevallos-Concha A., Caballero L., Gasco M., Zhao J., Khan I.A, & Gonzales G.F. (2016). Acceptability, Safety, and Efficacy of Oral Administration of Extracts of Black or Red Maca (Lepidium meyenii) in Adult Human Subjects: A Randomized, Double-Blind, Placebo-Controlled Study. Pharmaceuticals, 9(3), 49.

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Anthropometric Measurements and BMI Categorization

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Anthropometric measurements such as body weight and height were performed on each volunteer. Body weight (kg) was measured while the participants wore light clothing and no shoes with a TANITA Body Composition Analyzer BF 350 (Tanita Corporation, Tokyo, Japan). Height was determined with a stadiometer to the nearest 0.1 cm. With these data, body mass index (BMI) was calculated in kg/m² in three categories: Normal (18–24.9 kg/m²), overweight (25–29 kg/m²), and obese (≥30 kg/m²).[19 (link)]

Alcantara-Zapata D.E., Thiersch M, & Gonzales G.F. (2023). Association of serum hepcidin with prostate-specific antigen levels in men from high Andean cities of Peru. International Journal of Health Sciences, 17(2), 28-36.

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Bioimpedance-Based Body Composition

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Body composition was measured using electrical bioimpedance (Body Composition Analyzer BF-350, Tanita Corp., Tokyo, Japan). All assessments were performed in the morning, with subjects fasted, barefoot and wearing as little clothing as possible, and following the guidelines in the manufacturer’s manual.

Toro-Román V., Prieto-González I., Siquier-Coll J., Bartolomé I., Grijota F.J, & Maynar-Mariño M. (2023). Effects of High Temperature Exposure on the Wingate Test Performance in Male University Students. International Journal of Environmental Research and Public Health, 20(6), 4782.

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Body Composition and Temperature Evaluation

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Body composition measurements were performed by electrical bioimpedance (Body Composition Analyzer BF-350, Tanita Corp., Tokyo, Japan), and evaluations of each participant were made on days 1, 3, and 6 of the intervention and always followed the manufacturer’s guidelines. Bodyweight was evaluated daily, before and after each intervention.
Additionally, the body temperature was taken of each participant on their forehead (external temperature—ET) and on the right inner side of their mouth (internal temperature—IT), with the mouth completely closed. Temperature evaluation was carried out before and after each intervention using an infrared thermometer (TAT 5000 “Exergen Temporal Scanner”, Exergen, Watertown, MA, USA).

Bartolomé I., Siquier-Coll J., Pérez-Quintero M., Robles-Gil M.C., Muñoz D, & Maynar-Mariño M. (2021). Effect of Handgrip Training in Extreme Heat on the Development of Handgrip Maximal Isometric Strength among Young Males. International Journal of Environmental Research and Public Health, 18(10), 5240.

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Dry Eye Assessment in Diabetes Patients

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A trained nurse recruited participants with known diabetes status from the database of endocrinology clinic patients at Hospital Nacional Cayetano Heredia. The control group was comprised of acquaintances, friends, and family of these clinic patients. An eligibility criteria questionnaire was administered and oral consent obtained to conduct procedures to verify selection criteria. Procedures, performed by an ophthalmologist, consisted of a visual acuity exam, slit-lamp biomicroscopy, intraocular pressure measurement (Goldmann aplannation tonometer, UK), and tear film breakup time assessing for dry eye.
Eligible participants provided written informed consent prior to undergoing study procedures. Study procedures were completed in one or two visits, no more than two weeks apart.
Trained staff recorded socio-demographic and medical information using REDCap (Research Electronic Data Capture) tools hosted at Johns Hopkins University (22 (link)). Weight, height, body fat percent (TANITA BF-350 Body Composition Analyzer, Tokyo, Japan) were measured. Blood pressure was also measured in triplicate (OMRON HEM 780, Tokyo, Japan). A 5mL blood sample was collected to measure HbA1c level.

Iyengar M.F., Soto L.F., Requena D., Ruiz-Alejos A.O., Huaylinos Y., Velasquez R., Bernabe-Ortiz A, & Gilman R.H. (2020). Tear Biomarkers and Corneal Sensitivity as an Indicator of Neuropathy in Type 2 Diabetes. Diabetes research and clinical practice, 163, 108143.

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Comprehensive Lifestyle Assessment Protocol

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Age, sex, number of years of formal education, and data on lifestyle factors such as physical activity and smoking habits were also collected. The physical activity level was assessed through the International Physical Activity Questionnaire—Short form (IPAQ-SF) that assesses the types of the intensity of physical activity and sitting time over the previous 7 days. Estimates are given in MET-min/week and time spent sitting (Craig et al., 2003 (link)). As for the smoking habits, participants were categorized as non-smoker, former smoker, or current smoker. In addition, the mood and the body mass index (BMI) were also assessed. Depressive mood status was ascertained by the Geriatric Depression Scale (GDS) (Yesavage et al., 1982 (link)). The GDS is a 30-item questionnaire, whose scores range from 0 to 30 representing the total of depressive symptoms. The BMI was calculated according to the standardized manual based on international recommendations (Stewart et al., 2011 ) by measuring weight (Tanita BF 350 Body Composition Analyzer; Tanita Corporation, Tokyo, Japan) and height (stadiometer Seca 217; Seca GmBH, Hamburg, Germany), and computing as weight in kilograms divided by the square of height in meters.

Rodrigues B., Coelho A., Portugal-Nunes C., Magalhães R., Moreira P.S., Castanho T.C., Amorim L., Marques P., Soares J.M., Sousa N, & Santos N.C. (2020). Higher Adherence to the Mediterranean Diet Is Associated With Preserved White Matter Integrity and Altered Structural Connectivity. Frontiers in Neuroscience, 14, 786.

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Body Composition Assessment via DXA

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Body mass was measured using a calibrated digital scale (TANITA^® BF-350 body composition analyzer, Arlington Heights, IL, USA). Height was measured only at baseline using a stadiometer (standing digital scale/height rod attached). Body mass index was then calculated by dividing the participants’ mass in kilograms by the square of their height in meters. We used DXA to estimate % body fat (BF), FFM, and FM. Testing was performed with a total body scanner (fan-beam mode, software version 5.67, enhanced whole-body analysis, Hologic Explorer-W, Waltham, MA, USA). Based on test-retest measures including 10 participants (other than the ones included in this study), the coefficient of variation for FM and FFM in our laboratory is 1.7 and 0.8%, respectively. The intraclass correlation coefficients obtained for these respective variables were 0.997 and 0.999 [28 (link)].

Correia J.M., Santos I., Pezarat-Correia P., Minderico C., Schoenfeld B.J, & Mendonca G.V. (2021). Effects of Time-Restricted Feeding on Supramaximal Exercise Performance and Body Composition: A Randomized and Counterbalanced Crossover Study in Healthy Men. International Journal of Environmental Research and Public Health, 18(14), 7227.

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Factors Influencing Cognitive Performance

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Upon enrolment, sociodemographic data such as gender, age and number of years of formal education was collected. Reported physical activity levels and smoking habits were also ascertained. The body mass index (BMI) was obtained according to the standardized manual based on international recommendations [60 ] by measuring weight (Tanita® BF 350 Body Composition Analyzer; Tanita Corporation, Tokyo, Japan), height (stadiometer Seca® 217; Seca GmBH & Co Kg, Hamburg, Germany) and computing as Kg/m². Global cognitive status was assessed with the mini-mental state examination (MMSE) [13 (link)] and depressive mood status was ascertained by the Geriatric Depression Scale (GDS) [67 (link)]. Variables that could explain structural differences such as age [[19] (link), [50] (link)], school attainment [2 (link)], BMI [14 ], cognitive performance and mood [58 (link)] were included in the models. Energy intake was added to control for confounding and reduce extraneous variation [65 ].

Rodrigues B., Portugal-Nunes C., Magalhães R., Schmidt L., Moreira P.S., Soares J.M., Castanho T.C., Marques P., Sousa N, & Santos N.C. (2023). Larger dlPFC and vmPFC grey matter volumes are associated with high adherence to the Mediterranean diet: A cross-sectional study in older adults. Aging Brain, 3, 100064.

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