Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model

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dc.contributor.authorCicone, Zackary S.
dc.contributor.authorNickerson, Brett S.
dc.contributor.authorChoi, Youn-Jeng
dc.contributor.authorHolmes, Clifton J.
dc.contributor.authorHornikel, Bjoern
dc.contributor.authorFedewa, Michael, V
dc.contributor.authorEsco, Michael R.
dc.contributor.otherShenandoah University
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.contributor.otherTexas A&M International University
dc.contributor.otherEwha Womans University
dc.contributor.otherWashington University (WUSTL)
dc.date.accessioned2023-09-28T19:38:04Z
dc.date.available2023-09-28T19:38:04Z
dc.date.issued2021
dc.description.abstractIntroduction: Anthropometric-based equations are used to estimate percent body fat (%BF) when laboratory methods are impractical or not available. However, because these equations are often derived from two-compartment models, they are prone to error because of the assumptions regarding fat-freemass composition. The purpose of this study was to develop a new anthropometric-based equation for the prediction of%BF, using a five-compartment (5C) model as the criterion measure. Methods: A sample of healthy adults (52.2% female; age, 18 to 69 yr; body mass index, 15.7 to 49.5 kg.m(-2)) completed hydrostatic weighing, dual-energy x-ray absorptiometry, and bioimpedance spectroscopy measurements for calculation of 5C%BF (%BF5C), as well as skinfolds and circumferences.%BF5C was regressed on anthropometric measures using hierarchical variable selection in a random sample of subjects (n = 279). The resulting equation was cross-validated in the remaining participants (n = 78). New model performance was also comparedwith several common anthropometric-based equations. Results: The new equation [%BFNew = 6.083 + (0.143 x SSnew) - (12.058 x sex) - (0.150 x age) - (0.233 x body mass index) + (0.256 x waist) + (0.162 x sex x age)] explained a significant proportion of variance in %BF5C (R-2 = 0.775, SEE = 4.0%). Predictors included sum of skinfolds (SSnew, midaxillary, triceps, and thigh) and waist circumference. The new equation cross-validated well against %BF5C when compared with other existing equations, producing a large intraclass correlation coefficient (0.90), small mean bias and limits of agreement (0.4% +/- 8.6%), and small measures of error (SEE = 2.5%). Conclusions: %BFNew improved on previous anthropometric-based equations, providing better overall agreement and less error in %BF estimation. The equation described in this study may provide an accurate estimate of %BF5C in healthy adults when measurement is not practical.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationCICONE, Z. S., NICKERSON, B. S., CHOI, Y.-J., HOLMES, C. J., HORNIKEL, B., FEDEWA, M. V., & ESCO, M. R. (2021). Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model. In Medicine & Science in Sports & Exercise (Vol. 53, Issue 12, pp. 2675–2682). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1249/mss.0000000000002754
dc.identifier.doi10.1249/MSS.0000000000002754
dc.identifier.orcidhttps://orcid.org/0000-0001-9803-2681
dc.identifier.orcidhttps://orcid.org/0000-0002-2055-863X
dc.identifier.orcidhttps://orcid.org/0000-0002-0955-8794
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11623
dc.languageEnglish
dc.language.isoen_US
dc.publisherLippincott Williams & Wilkins
dc.subjectBODY COMPOSITION
dc.subjectREGRESSION
dc.subjectHEALTHY ADULTS
dc.subjectMULTICOMPARTMENT
dc.subjectMASS INDEX
dc.subject4-COMPARTMENT MODEL
dc.subjectSKINFOLD-THICKNESS
dc.subjectOLDER MEN
dc.subjectDENSITY
dc.subjectWOMEN
dc.subjectVALIDITY
dc.subjectSEX
dc.subjectBIOIMPEDANCE
dc.subjectRELIABILITY
dc.subjectSport Sciences
dc.titleGeneralized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Modelen_US
dc.typeArticle
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