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Development and validation of an anthropometric equation to predict fat mass percentage in professional and semi-professional male futsal players

2022-11Contribution to journal Open access
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datacite.subject.fosCiências Médicas
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorGiro, Rita
dc.contributor.authorMatias, Catarina N.
dc.contributor.authorCampa, Francesco
dc.contributor.authorSantos, Diana A.
dc.contributor.authorCavaca, Margarida L.
dc.contributor.authorDuque, Pedro
dc.contributor.authorOliveira, Marco
dc.contributor.authorMatos, Nuno
dc.contributor.authorVicente, Filipa
dc.contributor.authorPereira, Paula
dc.contributor.authorSantos, Heitor O.
dc.contributor.authorTinsley, Grant M.
dc.contributor.authorTeixeira, Filipe J.
dc.date.accessioned2025-11-06T16:25:53Z
dc.date.available2025-11-06T16:25:53Z
dc.date.issued2022-11
dc.description.abstractThis study aimed to (i) characterise the body composition of professional and semi-professional male futsal players, (ii) assess the validity of commonly used equations to estimate FM%, (iii) develop and cross-validate a futsal-specific FM% prediction equation. In a cross-sectional design, 78 adult male futsal players were assessed for body mass, stature, skinfolds, and girths as per the International Society for the Advancement of Kinanthropometry protocol and completed a dual-energy X-ray absorptiometry (DXA) scan for reference body composition data. Using paired-sample t-tests, the FM% from the DXA and nine published equations were compared. New sport-specific models were developed by stepwise multiple regression. Existing equations were cross-validated using the least squares regression, concordance correlation coefficient, and the Bland–Altman analyses. New equations were further cross-validated using the PRESS approach. None of the existing equations accurately predicted the DXA-derived FM% (p < 0.001; R2 ≤ 0.76, SEE ≥ 1.59; CCC ≤ 0.83; bias = −8.2% to −1.3%, limited agreement, and varying trends). The novel Bettery® equation: −0.620 + (0.159 ∗ Σ4SKF [triceps, abdominal, iliac crest, and front thigh (mm)]) + (0.120 ∗ waist girth (cm)), demonstrated a high accuracy (R2 = 0.85, SEE = 1.32%), a moderate strength of agreement (CCC = 0.92), no bias (0.2%), good agreement (±2.5%), and no trend (r = −0.157; p = 0.170) against the DXA. The Bettery® equation is the first to allow for a valid and sport-specific assessment of FM% in male futsal players.eng
dc.identifier.citationGiro R, Matias CN, Campa F, Santos DA, Cavaca ML, Duque P, Oliveira M, Matos N, Vicente F, Pereira P, et al. Development and Validation of an Anthropometric Equation to Predict Fat Mass Percentage in Professional and Semi-Professional Male Futsal Players. Nutrients. 2022; 14(21):4514. https://doi.org/10.3390/nu14214514
dc.identifier.doi10.3390/nu14214514
dc.identifier.issn2072-6643
dc.identifier.urihttp://hdl.handle.net/10400.26/59544
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation.hasversionhttps://doi.org/10.3390/nu14214514
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectathletic performance
dc.subjectbody composition
dc.subjectfutsal
dc.subjectkinanthropometry
dc.subjectnutrition
dc.subjectteam sport
dc.titleDevelopment and validation of an anthropometric equation to predict fat mass percentage in professional and semi-professional male futsal playerseng
dc.typecontribution to journal
dspace.entity.typePublication
oaire.citation.issue21
oaire.citation.startPage4514
oaire.citation.titleNutrients
oaire.citation.volume14
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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