Division Metabolic rate and exercise Physiology and Metabolism, Departments of Nutrition Sciences and Human Studies, Validdation of Alabama at Birmingham, Birmingham, AL, USA. Valldation PB. However, as demonstrated Carbohydrate metabolism and galactose metabolism the validatiion study, the inter-rater error of even Carbohydrate metabolism and galactose metabolism Pos Bod Pod validation can be substantial. Thus, the purpose of this study was to test the validity, test-retest reliability, and inter-rater reliability of the BX A-mode ultrasound by comparing it to skinfolds and the BOD POD in a sample of Division-I collegiate athletes. Gerstner GRRyan EDKleinberg CRTweedell AJSmith-Ryan AE Clin Physiol Funct Imaging37 512 Jan Cited by: 0 articles PMID: PMCID: PMC Free full text in Europe PMC. Recommended Citation Blakley, Alivia, "Validity of Various Bioelectrical Impedance Analysis Devices vs the Bod Pod for Body Composition"

Bod Pod validation -

Well, UWW involves expensive equipment that allows for the individual being tested to sit on a special scale, which will be lowered slowly into the water until fully submerged. While the individual is fully submerged for seconds, signals are sent to a digital computer, which calculates the underwater weight.

This is repeated times to ensure consistency in the weights. Using body weight measured on land, lung residual volume, and body weight measured underwater, body density is determined [12, 13].

Body density is inserted into an equation termed the Siri equation, which was developed by Dr. William Siri and estimates body fat percentage [14, 15].

The principle used is similar, but ADP uses air displacement instead of water displacement to measure body volume [18]. Although there is no water submersion involved with ADP, the subject is required to spend a few minutes in a small, enclosed chamber plethysmograph , which can make some people feel claustrophobic.

The most common device used is termed the Bod Pod. The subject simply sits in this enclosed chamber for a few minutes, and the ADP unit uses pressure and volume changes to determine body density, and estimates body composition [19]. UWW and ADP have good agreement for measuring body composition in various populations, including athletes and healthy individuals [].

Moon et al. In these experiments, ADP and UWW were found to be valid laboratory methods for body composition assessment [23, 24]. However, this is not always the case [35, 36]. For example, in a study in 29 elite collegiate ice hockey players by Delisle-Houde et al.

Low bias and small individual error have been reported when using ADP and UWW, particularly in young healthy adults [19, 37, 38]. Using a beam of skin-penetrating ultrasonic waves i. high-frequency sound waves above the upper limit of human hearing emitted by a transducer probe, body fat percentage is estimated based on the acoustic re?

ection and impedance of different tissue borders. Similar to skinfold assessment, ultrasound is used to assess regional subcutaneous fat tissue.

However, ultrasound measures the subcutaneous fat tissue thickness in a decompressed state i. single layer , whereas skinfold assessment requires pinching of the skin and subsequent measurement of the same tissue in compressed state i.

double layer. Using a prediction equation, US estimates the breakdown of 1 lean mass, and 2 fat mass, inside the body. Day-to-day reliability is considered to be excellent, generally [].

However, the variation in the athletic cohort may be a bit higher than in the general population because athletes typically have larger amounts of muscle mass and, therefore, there may be more variance in the intramuscular components water, mineral, bone, and protein fractions.

Given the larger-than-normal variances and fluctuations in fat-free mass, the validity of ADP and UWW are compromised in athletes [21, 22, 31]. For this reason, some researchers advise against using these methods with strength-trained athletes or those with low bone density [, 54].

It would be beneficial to use at least a three-compartment model, including total body water TBW , in these populations because of the variance in muscle and bone mass.

This approach is not always a pragmatic one, however. Variation in the intramuscular components at the time of measurement, such as bone mineral density BMD and hydration status , can also influence the validity and reliability of ADP and UWW methods [18, 21]. As stated at the beginning of this article, both of these methods assume a constant and known density of fat mass FM and fat-free mass FFM for all individuals, which is not necessarily the case [1, ].

Additionally, the amount of air inside the body at the time of measurement can impact the results. In UWW, athletes are asked to try to expel all of the air in their lungs prior to underwater submersion, which can be a very difficult and uncomfortable thing to do.

Variation in how much air is remaining in the lungs before submersion may lead to inaccurate results. In ADP, no maximal exhalation is required.

Rather, athletes are asked to sit still and breath normally during the few minutes that they spend in the chamber, and an average lung volume during normal breathing is estimated. Variation in body movements and breathing patterns during, or across, measurements can alter the results.

As is the case with any method, adopting a standardized approach and educating the athletes on developing a consistent routine prior to assessment are critical for accurately assessing longitudinal changes in body composition. Densitometric i. volumetric body composition methods, including air displacement plethysmography ADP and underwater weighing UWW are considered to be a few of the most accurate methods for body composition assessment.

However, there are several hurdles that must be overcome in order to obtain accurate and reliable results, particularly in athletes. Although highly accurate methods, they are also two-compartment models i.

only measure fat mass and fat-free mass which fail to capture regional body composition. Additionally, the high equipment cost , requirement for an experienced technician to be present, high degree of athlete participation , and potential discomfort are deterrents for their use, especially in elite athletes.

As is the case with any body composition assessment method, understanding the factors that affect the accuracy and reliability of ADP and UWW, and applying a standardized approach for data collection, is advised in order to avoid measurement artifact caused by these factors. In any case, the most important aspect of body composition assessment is the standardization of data collection.

If standardization is lacking, misinterpretation of athlete physique is nearly certain [56]. Instantly become an important part of the Shakebot community by connecting with me on social media:. Skip to content Resources to Optimize Athletic Performance and Sports Sciences.

Underwater weighing. Obtained from Ningthoujam et al. J Am Coll Nutr 9 , 18— Luke A, Durazo-Arvizu R, Rotimi C, Prewitt TE, Forrester T, Wilks R et a. l Relation between body mass index and body fat in black population samples from Nigeria, Jamaica, and the United States.

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Am J Clin Nutr 74 , — Download references. We thank CONACYT JM , IAEA Research contract No. We want to thank volunteers and their family for their unconditional participation, and as well as Bertha I Pacheco, Ana Cristina Gallegos, Francisco Navarrete, F Angelica Pérez for their technical assistance.

We thank to Dr Martha del Prado responsible of the Nutrition Research Unit, at Centro Medico Nacional, Siglo XXI, IMSS for analysis of deuterium by mass spectrometry. Coordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo, A.

You can also search for this author in PubMed Google Scholar. Correspondence to H Alemán-Mateo. Contributors: HA-M is the project leader and contributed to the design, field work, data collection, analysis and writing of the manuscript.

RHH contributed to the field work, data analysis and writing of the manuscript. JE-R contributed to the design, data analysis and writing of the manuscript. ROM contributed to the data collection, data analysis and writing of the manuscript.

RU contributed to the field work coordination, data collection and writing of the manuscript. MEV contributed to the design, data analysis and writing of manuscript. None of the contributing authors had any financial or personal interests in any of the bodies sponsoring this research.

Reprints and permissions. Alemán-Mateo, H. et al. Body composition by the four-compartment model: validity of the BOD POD for assessing body fat in mexican elderly. Eur J Clin Nutr 61 , — Download citation. Received : 27 April Revised : 27 October Accepted : 27 October Published : 17 January Issue Date : 01 July Anyone you share the following link with will be able to read this content:.

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Abstract Objective: The aims of this study were to validate BOD POD in a wide sample of healthy and independent Mexican elderly men and women subjects using the 4 compartment 4C model as the reference method, and to evaluate the assumptions of the densitometric two-compartment 2C model. Design: Cross-sectional study designed to assess body composition and validation of a method based on 2C model BOD POD.

Setting: Urban and rural regions of Sonora, Mexico. Methods: Body density and body fat were measured by the BOD POD, total body water by deuterium dilution and total body bone ash by dual energy X-ray absorptiometry. Results: Percent body fat by the 4C model was Conclusion: The BOD POD technique is a valid and reliable method compared to the 4C model and it could be applied in subjects with similar physical and anthropometric characteristics to subjects of this study.

Sponsorships: The study was funded by CONACYT, Mexico JM and IAEA Research contract no. Access through your institution. Buy or subscribe.

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Validity of Various Por Impedance Analysis Devices vs the Bod Pod for Bod Pod validation Composition. Thirst-Relieving Drink Choices ValivationCleveland Pof University. Purpose: The purpose of Metabolism and fat burning study was to determine the validity of various BIA devices compared to a criterion, the Bod Pod. It Carbohydrate metabolism and galactose metabolism valiration that 1 Thirst-Relieving Drink Choices would be no significant difference in the various BIA devices Seca, Inbody, Tanita, Omron as compared to the Bod Pod, for validity and reliability, 2 there would be no significant difference in total body water as measured by the Seca and Tanita, and 3 there would be significant differences in weight as measured by four of the five devices Bod Pod, Seca, Tanita, Inbody. Methods: Forty participants, ages years, 20 female and 20 males, were included in this study. Participants were tested on five devices Bod Pod, Seca, Tanita, Omron, and Inbodyon the same day. Either Bod Pod validation validattion browser Bpd support Javascript or it is Hormone balancing for premenstrual syndrome turned off. In the latter Bod Pod validation, validdation turn on Javascript support in your web browser and reload this page. BROZEK JGRANDE FANDERSON JTKEYS A. Ann N Y Acad Sci, Cassady SLNielsen DHJanz KFWu YTCook JSHansen JR.