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Evaluation of body adiposity index (BAI) to estimate percent body fat in an indigenous population.
Kuhn, Patricia C; Vieira Filho, João Paulo B; Franco, Luciana; Dal Fabbro, Amaury; Franco, Laercio J; Moises, Regina S.
Afiliação
  • Kuhn PC; Disciplina de Endocrinologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil. Electronic address: pkuhn@unifesp.br.
  • Vieira Filho JP; Disciplina de Endocrinologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil. Electronic address: botelhovieira@hotmail.com.
  • Franco L; Disciplina de Endocrinologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil. Electronic address: luciana_franco@yahoo.com.
  • Dal Fabbro A; Departamento de Medicina Social, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil. Electronic address: aafabbro@fmrp.usp.br.
  • Franco LJ; Departamento de Medicina Social, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil. Electronic address: lfranco@fmrp.usp.br.
  • Moises RS; Disciplina de Endocrinologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil. Electronic address: rmoises@unifesp.br.
Clin Nutr ; 33(2): 287-90, 2014 Apr.
Article em En | MEDLINE | ID: mdl-23706871
ABSTRACT
BACKGROUND &

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecido Adiposo / Indígena Americano ou Nativo do Alasca / Adiposidade Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecido Adiposo / Indígena Americano ou Nativo do Alasca / Adiposidade Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2014 Tipo de documento: Article