Please use this identifier to cite or link to this item: http://ds.saudeindigena.icict.fiocruz.br/handle/bvs/1390
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dc.contributor.authorKuhn, Patricia C.-
dc.contributor.authorVieira Filho, João Paulo B.-
dc.contributor.authorFranco, Luciana-
dc.contributor.authorDal Fabbro, Amaury L.-
dc.contributor.authorFranco, Laércio J.-
dc.contributor.authorMoises, Regina S.-
dc.date.accessioned2019-12-04T17:31:00Z-
dc.date.available2019-12-04T17:31:00Z-
dc.date.issued2014-
dc.identifier10.1016/j.clnu.2013.04.021-
dc.identifier.citationKUHN, Patricia C.; et al. Evaluation of body adiposity index (BAI) to estimate percent body fat in an indigenous population. Clinical Nutrition, v. 33, p. 287-290, 2014.en_US
dc.identifier.urihttp://ds.saudeindigena.icict.fiocruz.br/handle/bvs/1390-
dc.language.isoeng-
dc.publisherElsevieren_US
dc.rightsopen accessen_US
dc.subject.otherBrasilen_US
dc.subject.otherÍndios Sul-Americanosen_US
dc.subject.otherSaúde de Populações Indígenasen_US
dc.subject.otherMato Grossoen_US
dc.subject.otherRegião Amazônicaen_US
dc.subject.otherEpidemiologiaen_US
dc.subject.otherRegião Centro-Oesteen_US
dc.subject.otherXavanteen_US
dc.subject.otherAntropometriaen_US
dc.subject.otherEstudos Epidemiológicosen_US
dc.subject.otherÍndice de Massa Corporalen_US
dc.subject.otherEstado Nutricionalen_US
dc.subject.otherAvaliação Nutricionalen_US
dc.subject.otherSobrepeso e Obesidadeen_US
dc.subject.otherBioimpedânciaen_US
dc.subject.otherImpedância Elétricaen_US
dc.subject.otherAdiposidadeen_US
dc.titleEvaluation of body adiposity index (BAI) to estimate percent body fat in an indigenous populationen_US
dc.typeArticleen_US
dc.creator.affilliationUniversidade Federal de São Paulo. Escola Paulista de Medicina. São Paulo, SP, Brasilen_US
dc.creator.affilliationUniversidade Federal de São Paulo. Escola Paulista de Medicina. São Paulo, SP, Brasilen_US
dc.creator.affilliationUniversidade Federal de São Paulo. Escola Paulista de Medicina. São Paulo, SP, Brasilen_US
dc.creator.affilliationUniversidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Departamento de Medicina Social. Ribeirão Preto, SP, Brasilen_US
dc.creator.affilliationUniversidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Departamento de Medicina Social. Ribeirão Preto, SP, Brasilen_US
dc.creator.affilliationUniversidade Federal de São Paulo. Escola Paulista de Medicina. São Paulo, SP, Brasilen_US
dc.description.abstractenBACKGROUND & 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 42.3 ± 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.en_US
dc.identifier.doi10.1016/j.clnu.2013.04.021-
dc.subject.decsBrasilen_US
dc.subject.decsSaúde de Populações Indígenasen_US
dc.subject.decsÍndios Sul-Americanosen_US
dc.subject.decsEpidemiologiaen_US
dc.subject.decsÍndice de Massa Corporalen_US
dc.subject.decsEstado Nutricionalen_US
dc.subject.decsAvaliação Nutricionalen_US
dc.subject.decsImpedância Elétricaen_US
dc.subject.decsAdiposidadeen_US
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