Evaluation of body adiposity index (BAI) to estimate percent body fat in an indigenous population

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dc.contributor.authorKuhn, Patricia C. [UNIFESP]
dc.contributor.authorVieira Filho, Joao Paulo B. [UNIFESP]
dc.contributor.authorFranco, Luciana [UNIFESP]
dc.contributor.authorDal Fabbro, Amaury
dc.contributor.authorFranco, Laercio J.
dc.contributor.authorMoises, Regina S. [UNIFESP]
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2016-01-24T14:35:31Z
dc.date.available2016-01-24T14:35:31Z
dc.date.issued2014-04-01
dc.description.abstractBackground & aims: the aim of this study was to evaluate the usefulness of Body Adiposity Index (BAI) as a predictor of body fat in Xavante Indians and to investigate which anthropometric measures of adiposity best correlate with body fat in this population.Methods: We evaluated 974 individuals (476 male), aged 423 +/- 19.5 years. Percentage of body fat (%BF) determined by bioimpedance analysis (BIA) was used as the reference measure of adiposity. Bland-Altman analysis was used to assess the agreement between the two methods: BAI and BIA. Associations between anthropometric measures of adiposity were investigated by Pearson correlation analysis.Results: BAI overestimates %BF (mean difference: 4.10%), mainly at lower levels of adiposity. Significant correlations were found between %BF and all measurements, being the strongest correlation with BAI. However, stratified analyses according to gender showed that among men waist circumference has the strongest correlation (r = 0.73, p <0.001) and among women BAI (r = 0.71, p < 0.001), BMI (r = 0.69, p < 0.001) and waist circumference (r = 0.70, p < 0.001) performed similarly.Conclusion: BAI can be a useful tool to predict %BF in Xavante Indians, although it has some limitations. However, it is not a better predictor of adiposity than waist circumference in men or BMI and waist circumference in women. (C) 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.en
dc.description.affiliationUniversidade Federal de São Paulo, Discipline Endocrinol, Escola Paulista Med, BR-04039001 São Paulo, Brazil
dc.description.affiliationUniv São Paulo, Fac Med Ribeirao Preto, Dept Med Social, BR-14049 Ribeirao Preto, Brazil
dc.description.affiliationUnifespUniversidade Federal de São Paulo, Discipline Endocrinol, Escola Paulista Med, BR-04039001 São Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIDFAPESP: 2010/05634-0
dc.description.sponsorshipIDCNPq: 573856/2008-7
dc.format.extent287-290
dc.identifierhttp://dx.doi.org/10.1016/j.clnu.2013.04.021
dc.identifier.citationClinical Nutrition. Edinburgh: Churchill Livingstone, v. 33, n. 2, p. 287-290, 2014.
dc.identifier.doi10.1016/j.clnu.2013.04.021
dc.identifier.issn0261-5614
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/37610
dc.identifier.wosWOS:000334985500016
dc.language.isoeng
dc.publisherChurchill Livingstone
dc.relation.ispartofClinical Nutrition
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectBody adiposity indexen
dc.subjectAnthropometric measuresen
dc.subjectXavante Indiansen
dc.titleEvaluation of body adiposity index (BAI) to estimate percent body fat in an indigenous populationen
dc.typeinfo:eu-repo/semantics/article
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