000125228 001__ 125228
000125228 005__ 20240731103315.0
000125228 0247_ $$2doi$$a10.3390/ijerph20043454
000125228 0248_ $$2sideral$$a132975
000125228 037__ $$aART-2023-132975
000125228 041__ $$aeng
000125228 100__ $$0(orcid)0000-0002-1042-542X$$aMarin-Puyalto, J.$$uUniversidad de Zaragoza
000125228 245__ $$aDesign of a computer model for the identification of adolescent swimmers at risk of low BMD
000125228 260__ $$c2023
000125228 5060_ $$aAccess copy available to the general public$$fUnrestricted
000125228 5203_ $$aThis paper aims to elaborate a decision tree for the early detection of adolescent swimmers at risk of presenting low bone mineral density (BMD), based on easily measurable fitness and performance variables. The BMD of 78 adolescent swimmers was determined using dual-energy X-ray absorptiometry (DXA) scans at the hip and subtotal body. The participants also underwent physical fitness (muscular strength, speed, and cardiovascular endurance) and swimming performance assessments. A gradient-boosting machine regression tree was built to predict the BMD of the swimmers and to further develop a simpler individual decision tree. The predicted BMD was strongly correlated with the actual BMD values obtained from the DXA (r = 0.960, p < 0.001; root mean squared error = 0.034 g/cm2). According to a simple decision tree (74% classification accuracy), swimmers with a body mass index (BMI) lower than 17 kg/m2 or a handgrip strength inferior to 43 kg with the sum of both arms could be at a higher risk of having a low BMD. Easily measurable fitness variables (BMI and handgrip strength) could be used for the early detection of adolescent swimmers who are at risk of suffering from low BMD.
000125228 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/EXERNET-DEP2005-00046$$9info:eu-repo/grantAgreement/ES/MINECO/DEP2011-29093
000125228 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000125228 592__ $$a0.808$$b2023
000125228 593__ $$aHealth, Toxicology and Mutagenesis$$c2023$$dQ2
000125228 593__ $$aPublic Health, Environmental and Occupational Health$$c2023$$dQ2
000125228 593__ $$aPollution$$c2023$$dQ2
000125228 594__ $$a7.3$$b2023
000125228 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000125228 700__ $$0(orcid)0000-0001-6492-2512$$aGómez-Cabello, A.
000125228 700__ $$0(orcid)0000-0002-0520-1640$$aGómez-Brutón, A.$$uUniversidad de Zaragoza
000125228 700__ $$0(orcid)0000-0001-8500-1667$$aMatute-Llorente, Á.$$uUniversidad de Zaragoza
000125228 700__ $$aCastillo-Bernad, S.
000125228 700__ $$0(orcid)0000-0002-0137-9900$$aLozano-Berges, G.$$uUniversidad de Zaragoza
000125228 700__ $$0(orcid)0000-0002-1132-5906$$aGonzález-Agüero, A.$$uUniversidad de Zaragoza
000125228 700__ $$0(orcid)0000-0002-7215-6931$$aCasajus, J. A.$$uUniversidad de Zaragoza
000125228 700__ $$0(orcid)0000-0002-4303-4097$$aVicente-Rodríguez, G.$$uUniversidad de Zaragoza
000125228 7102_ $$11006$$2245$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Educación Física y Depor.
000125228 773__ $$g20, 4 (2023), 3454 [10 pp.]$$pInt. j. environ. res. public health$$tInternational journal of environmental research and public health$$x1661-7827
000125228 8564_ $$s1436870$$uhttps://zaguan.unizar.es/record/125228/files/texto_completo.pdf$$yVersión publicada
000125228 8564_ $$s2693858$$uhttps://zaguan.unizar.es/record/125228/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000125228 909CO $$ooai:zaguan.unizar.es:125228$$particulos$$pdriver
000125228 951__ $$a2024-07-31-09:40:55
000125228 980__ $$aARTICLE