A comparative study of methods for diagnosis of obesity in an urban mixed-race population in Minas Gerais, Brazil
de Freitas, Silvia Nascimento; Caiaffa, Waleska Teixeira; César, Cibele Comini; Cândido, Ana Paula Carlos; Faria, Valéria Andrade; Neto, Raimundo Marques do Nascimento; Machado-Coelho, George Luiz Lins; de Freitas Silvia Nascimento; Federal University of Ouro Preto (UFOP); Caiaffa Waleska Teixeira; Federal University of Minas Gerais (UFMG); César Cibele Comini; Exact Science Institutes; Cândido Ana Paula Carlos; Federal University of Ouro Preto (UFOP); Faria Valéria Andrade; Scientific Initiation Grant, UFOP, Ouro Preto, Brazil; Neto Raimundo Marques do Nascimento; Institute of Hypertension; Machado-Coelho George Luiz Lins; Department of Pharmacy, School of Pharmacy, UFOP, Ouro Preto, Brazil
Журнал:
Public Health Nutrition
Аннотация:
AbstractBackgroundObesity is defined as an excess of total body fat and may be assessed by different methods. The objective of the present study was to establish the discriminatory power of anthropometric data in determining obesity.MethodsThe subjects comprised 685 individuals, aged 20–79 years, sampled from a population-based survey. The following indicators were used: body mass index (BMI), waist circumference (WC) and total body fat percentage estimated with both Siri's equation (%BF Siri) and foot-to-foot bioelectrical impedance analysis (%BF BIA). Sensitivity and specificity of different cut-off points for each method were determined using %BF BIA as reference.ResultsOf 685 participants, 57.6% were aged ≥ 40 years, 69.9% were women and 72.6% self-referred themselves as non-white. To classify obesity based on sex and age among women aged < 40 years, the cut-off points were BMI of 26.0 kg m<sup>− 2</sup>, WC of 84.0 cm and %BF Siri of 34.0%; in those aged ≥ 40 years, the cut-off points were 28.0 kg m<sup>− 2</sup>, 90.0 cm and 37.4%, respectively. The cut-off points among men aged < 40 years were BMI of 26.3 kg m<sup>− 2</sup>, WC of 86.0 cm and %BF Siri of 22.5%, and in those aged ≥ 40 years, 26.3 kg m<sup>− 2</sup>, 89.0 cm and 24.5%, respectively. BMI was the method with the largest area under the curve (AUC) independent of sex and sex/age, yet no differences were observed in AUC between BMI and WC (P>0.05). Classifying according to skin colour did not change cut-off points in any indicator.ConclusionBMI and WC better discriminate obesity among women and men aged ≥ 40 years from a mixed-race population.
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