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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1123/ijsnem.2018-0099</dc:identifier><dc:language>eng</dc:language><dc:creator>Lozano-Berges, G.</dc:creator><dc:creator>Matute-Llorente, A.</dc:creator><dc:creator>Gomez-Bruton, A.</dc:creator><dc:creator>Gonzalez-Aguero, A.</dc:creator><dc:creator>Vicente-Rodriguez, G.</dc:creator><dc:creator>Casajus, J.A.</dc:creator><dc:title>Accurate Prediction Equation to Assess Body Fat in Male and Female Adolescent Football Players</dc:title><dc:identifier>ART-2019-112698</dc:identifier><dc:description>The aims of this study were (a) to determine which of the most used anthropometric equations was the most accurate to estimate percentage of body fat (%BF), (b) to develop a new specific anthropometric equation, and (c) to validate this football-specific equation. A total of 126 (13.3 +/- 0.6 years) football players (86 males and 40 females) participated in the present study. Participants were divided into two groups: 98 players were included in the assessment of existing equations and in the development of the new prediction equation, and 28 players were used to validate it. %BF was measured with dual-energy X-ray absorptiometry (DXA) and also estimated with six different %BF anthropometric equations: Johnston, Slaughter, Carter, Faulkner, Deurenberg, and S anti-Maria. Paired t tests were used to analyze differences between methods. A football-specific equation was developed by a stepwise linear regression. The existing anthropometric equations showed significant bias for %BF when compared with DXA (p &lt; .001; constant error ranged from -4.57% to 9.24%; standard error of estimate ranged from 2.46 to 4.20). On the other hand, the developed football-specific equation was %BF = 11.115 + 0.775 (triceps skinfold) + 0.193 (iliac crest skinfold) - 1.606 (sex). The developed equation demonstrated neither %BF differences (p = .121; constant error = 0.57%; standard error of estimate = 0.36) when compared with DXA, presenting a high cross-validation prediction power (R-2 = .85). Published anthropometric equations were not accurate to estimate %BF in adolescent football players. Due to the fact that the developed football-specific equation showed neither differences nor heteroscedasticity when compared with DXA, this equation is recommended to assess %BF in adolescent football players.</dc:description><dc:date>2019</dc:date><dc:source>http://zaguan.unizar.es/record/150178</dc:source><dc:doi>10.1123/ijsnem.2018-0099</dc:doi><dc:identifier>http://zaguan.unizar.es/record/150178</dc:identifier><dc:identifier>oai:zaguan.unizar.es:150178</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/MEC/FPU13-02111</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/DEP2012-32724</dc:relation><dc:identifier.citation>INTERNATIONAL JOURNAL OF SPORT NUTRITION AND EXERCISE METABOLISM 29, 3 (2019), 297-302</dc:identifier.citation><dc:rights>All rights reserved</dc:rights><dc:rights>http://www.europeana.eu/rights/rr-f/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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