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dc.contributor.authorRamírez-Vélez, Robinsonspa
dc.contributor.authorCorrea-Bautista, Jorge Enriquespa
dc.contributor.authorGonzález-Ruíz, Katherinespa
dc.contributor.authorVivas, Andrésspa
dc.contributor.authorTriana-Reina, Héctor Reynaldospa
dc.contributor.authorMartínez-Torres, Javierspa
dc.contributor.authorPrieto-Benavides, Daniel Humbertospa
dc.contributor.authorCarrillo, Hugo Alejandrospa
dc.contributor.authorRamos-Sepúlveda, Jeison Alexanderspa
dc.contributor.authorVilla-González, Emiliospa
dc.contributor.authorGarcía-Hermoso, Antoniospa
dc.description.abstractRecently, a body adiposity index (BAI = (hip circumference)/((height)(1.5))􀀀18) was developed and validated in adult populations. The aim of this study was to evaluate the performance of BAI in estimating percentage body fat (BF%) in a sample of Colombian collegiate young adults. The participants were comprised of 903 volunteers (52% females, mean age = 21.4 years 3.3). We used the Lin’s concordance correlation coefficient, linear regression, Bland–Altman’s agreement analysis, concordance correlation coefficient (rc) and the coefficient of determination (R2) between BAI, and BF%; by bioelectrical impedance analysis (BIA)). The correlation between the two methods of estimating BF% was R2 = 0.384, p < 0.001. A paired-sample t-test showed a difference between the methods (BIA BF% = 16.2 3.1, BAI BF% = 30.0 5.4%; p < 0.001). For BIA, bias value was 6.0 6.2 BF% (95% confidence interval (CI) = 􀀀6.0 to 18.2), indicating that the BAI method overestimated BF% relative to the reference method. Lin’s concordance correlation coefficient was poor (rc = 0.014, 95% CI = 􀀀0.124 to 0.135; p = 0.414). In Colombian college students, there was poor agreement between BAI- and BIA-based estimates of BF%, and so BAI is not accurate in people with low or high body fat percentage
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia*
dc.titleBody adiposity index performance in estimating body fat percentage in colombian college students: findings from the FUPRECOL—adults studyspa
dc.subject.keywordBody compositionspa
dc.subject.keywordBody adiposityspa
dc.coverage.campusCRAI-USTA Bogotáspa
dc.relation.referencesBhupathiraju, S.N.; Hu, F.B. Epidemiology of Obesity and Diabetes and Their Cardiovascular Complications. Circ. Res. 2016, 118, 1723–1735. [CrossRef] [PubMed]spa
dc.relation.referencesLam, B.C.; Koh, G.C.; Chen, C.; Wong, M.T.; Fallows, S.J. Comparison of Body Mass Index (BMI), Body AdiposityIndex (BAI),Waist Circumference (WC),Waist-To-Hip Ratio (WHtR) andWaist-To-Height Ratio (WHtR) as predictors of cardiovascular disease risk factors in an adult population in Singapore. PLoS ONE 2015, 10, e0122985. [CrossRef] [PubMed]spa
dc.relation.referencesAntonopoulos, A.S.; Oikonomou, E.K.; Antoniades, C.; Tousoulis, D. From the BMI paradox to the obesity paradox: The obesity-mortality association in coronary heart disease. Obes. Rev. 2016, 17, 989–1000. [CrossRef] [PubMed]spa
dc.relation.referencesGregg, E.W.; Cheng, Y.J.; Cadwell, B.L.; Imperatore, G.; Williams, D.E.; Flegal, K.M.; Narayan, K.M.; Williamson, D.F. Secular trends in cardiovascular disease risk factors according to body mass index in US adults. JAMA 2005, 293, 1868–1874. [CrossRef] [PubMed]spa
dc.relation.referencesSaydah, S.; Bullard, K.M.; Cheng, Y.; Ali, M.K.; Gregg, E.W.; Geiss, L.; Imperatore, G. Trends in cardiovascular disease risk factors by obesity level in adults in the United States, NHANES 1999–2010. Obes. Silver Spring 2014, 22, 1888–1895. [CrossRef] [PubMed]spa
dc.relation.referencesLee, S.Y.; Gallagher, D. Assessment methods in human body composition. Curr. Opin. Clin. Nutr. Metab. Care 2008, 11, 566–572. [CrossRef] [PubMed]spa
dc.relation.referencesLloret Linares, C.; Ciangura, C.; Bouillot, J.L.; Coupaye, M.; Declèves, X.; Poitou, C.; Basdevant, A.; Oppert, J.M. Validity of leg-to-leg bioelectrical impedance analysis to estimate body fat in obesity. Obes. Surg. 2011, 21, 917–923. [CrossRef] [PubMed]spa
dc.relation.referencesBrowning, L.M.; Mugridge, O.; Dixon, A.K.; Aitken, S.W.; Prentice, A.M.; Jebb, S.A. Measuring abdominal adipose tissue: Comparison of simpler methods with MRI. Obes. Facts 2011, 4, 9–15. [CrossRef] [PubMed]spa
dc.relation.referencesBergman, R.N.; Stefanovski, D.; Buchanan, T.A.; Sumner, A.E.; Reynolds, J.C.; Sebring, N.G.; Xiang, A.H.; Watanabe, R.M. A better index of body adiposity. Obes. Silver Spring 2011, 19, 1083–1089. [CrossRef] [PubMed]spa
dc.relation.referencesGeliebter, A.; Atalayer, D.; Flancbaum, L.; Gibson, C.D. Comparison of body adiposity index (BAI) and BMI with estimations of % body fat in clinically severe obese women. Obes. Silver Spring 2013, 21, 493–498. [CrossRef] [PubMed]spa
dc.relation.referencesBernhard, A.B.; Scabim, V.M.; Serafim, M.P.; Gadducci, A.V.; Santo, M.A.; de Cleva, R. Modified body adiposity index for body fat estimation in severe obesity. J. Hum. Nutr. Diet. 2016. [CrossRef] [PubMed]spa
dc.relation.referencesEzeukwu, A.O.; Ezeoranu, C.G.; Egwuonwu, A.V.; Ugwoke, U.M.; Ekechukwu, N.E.; Nwankwo, M.J. Comparison of Body Fat Percentages in Nigerian Obese Females Using Field Methods. J. Health Sci. 2015, 5, 18–
dc.relation.referencesSilva, M.I.; Vale, B.S.; Lemos, C.C.; Torres, M.R.; Bregman, R. Body adiposity index assess body fat with high accuracy in nondialyzed chronic kidney disease patients. Obes. Silver Spring 2013, 21, 546–552. [CrossRef] [PubMed]spa
dc.relation.referencesGarcía, A.I.; Niño-Silva, L.A.; González-Ruíz, K.; Ramírez-Vélez, R. Body adiposity index as marker of obesity and cardiovascular risk in adults from Bogotá, Colombia. Endocrinol. Nutr. 2015, 130, 130–137. [CrossRef] [PubMed]spa
dc.relation.referencesCerqueira, M.; Amorim, P.; Magalhaes, F.; Castro, E.; Franco, F.; Franceschini, S.; Cerqueira, L.; Marins, J.; Doimo, L. Validity of body adiposity index in predicting body fat in a sample of Brazilian women. Obes. Silver Spring 2013, 21, E696–E699. [CrossRef] [PubMed]spa
dc.relation.referencesKuhn, P.C.; Vieira Filho, J.P.; Franco, L.; Dal Fabbro, A.; Franco, L.J.; Moises, R.S. Evaluation of body adiposity index (BAI) to estimate percent body fat in an indigenous population. Clin. Nutr. 2014, 33, 287–290. [CrossRef] [PubMed]spa
dc.relation.referencesGonzález-Ruíz, K.; Ramírez-Vélez, R. Body adiposity index in Colombian elite athletes: A comparison between the body mass index and other measures. Rev. Colomb. Cardiol. 2015, 22, 22–
dc.relation.referencesCarpio-Rivera, E.; Hernández-Elizondo, J.; Salicetti-Fonseca, A.; Solera-Herrera, A.; Moncada-Jiménez, J. Predictive validity of the body adiposity index in costarican students. Am. J. Hum. Biol. 2016, 28, 394–397. [CrossRef] [PubMed]spa
dc.relation.referencesSegheto,W.; Coelho, F.A.; Guimarães da Silva, C.D.; Hallal, P.C.; Marins, J.C.; Ribeiro, A.Q.; Pessoa, M.C.; Morais, S.H.; Longo, G.Z. Validity of body adiposity index in predicting body fat in Brazilians adults. Am. J. Hum. Biol. 2016. [CrossRef] [PubMed]spa
dc.relation.referencesLopez-Jaramillo, P.; Lahera, V.; Lopez-Lopez, J. Epidemic of cardiometabolic diseases: A Latin American point of view. Ther. Adv. Cardiovasc. Dis. 2011, 5, 119–131. [CrossRef] [PubMed]spa
dc.type.categoryGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicosspa

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