{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T18:21:19Z","timestamp":1771352479637,"version":"3.50.1"},"reference-count":39,"publisher":"Georg Thieme Verlag KG","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Sports Med"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Bioelectrical impedance analysis equations for fat-free mass prediction in\nhealthy populations exist, nevertheless none accounts for the inter-athlete\ndifferences of the chemical composition of the fat-free mass. We aimed to\ndevelop a bioimpedance-based model for fat-free mass prediction based on the\nfour-compartment model in a sample of national level athletes; and to\ncross-validate the new models in a separate cohort of athletes using a\n4-compartment model as a criterion. There were 142 highly trained athletes\n(22.9\u00b15.0 years) evaluated during their respective competitive seasons.\nAthletes were randomly split into development (n=95) and validation\ngroups (n=47). The criterion method for fat-free mass was the\n4-compartment model. Resistance and reactance were obtained with a\nphase-sensitive 50\u2009kHz bioimpedance device. Athletic impedance-based\nmodels were developed (fat-free\nmass=\u2212\u20092.261+0.327*Stature2\/Resistance+0.525*Weight+5.462*Sex,\nwhere stature is in cm, Resistance is in \u03a9, Weight is in kg, and sex is\n0 if female or 1 if male). Cross validation revealed R2 of 0.94,\nlimits of agreement around 10% variability and no trend, as well as a\nhigh concordance correlation coefficient. The new equation can be considered\nvalid thus affording practical means to quantify fat-free mass in elite adult\nathletes.<\/jats:p>","DOI":"10.1055\/a-1179-6236","type":"journal-article","created":{"date-parts":[[2020,8,8]],"date-time":"2020-08-08T01:18:34Z","timestamp":1596849514000},"page":"27-32","source":"Crossref","is-referenced-by-count":44,"title":["Fat-free Mass Bioelectrical Impedance Analysis Predictive Equation\nfor Athletes using a 4-Compartment Model"],"prefix":"10.1055","volume":"42","author":[{"given":"Catarina N","family":"Matias","sequence":"additional","affiliation":[{"name":"Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana,\nUniversidade de Lisboa, Cruz Quebrada, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3028-7802","authenticated-orcid":false,"given":"Francesco","family":"Campa","sequence":"additional","affiliation":[{"name":"Department of Biomedical and Neuromotor Science, University of Bologna,\nBologna, Italy"}]},{"given":"Diana A.","family":"Santos","sequence":"additional","affiliation":[{"name":"Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana,\nUniversidade de Lisboa, Cruz Quebrada, Portugal"}]},{"given":"Henry","family":"Lukaski","sequence":"additional","affiliation":[{"name":"Department of Kinesiology and Public Health Education, Hyslop Sports\nCenter, University of North Dakota, Grand Forks, United States"}]},{"given":"Lu\u00eds B.","family":"Sardinha","sequence":"additional","affiliation":[{"name":"Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana,\nUniversidade de Lisboa, Cruz Quebrada, Portugal"}]},{"given":"Analiza M.","family":"Silva","sequence":"additional","affiliation":[{"name":"Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana,\nUniversidade de Lisboa, Cruz Quebrada, Portugal"}]}],"member":"194","published-online":{"date-parts":[[2020,8,7]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1123\/jsr.2015-0080","article-title":"Influence of body composition on functional movement screen scores in college\nfootball players","volume":"27","author":"C P Nicolozakes","year":"2018","journal-title":"J Sport Rehabil"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1016\/j.jsams.2016.12.076","article-title":"Asymmetry during preseason functional movement screen testing is associated with\ninjury during a junior Australian football season","volume":"20","author":"S Chalmers","year":"2017","journal-title":"J Sci Med Sport"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1111\/j.1749-6632.1963.tb17079.x","article-title":"Densitometric analysis of body composition: revision of some quantitative\nassumptions","volume":"110","author":"J Brozek","year":"1963","journal-title":"Ann 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