<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0212-1611</journal-id>
<journal-title><![CDATA[Nutrición Hospitalaria]]></journal-title>
<abbrev-journal-title><![CDATA[Nutr. Hosp.]]></abbrev-journal-title>
<issn>0212-1611</issn>
<publisher>
<publisher-name><![CDATA[Grupo Arán]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0212-16112012000100017</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Anthropometric methods for obesity screening in schoolchildren: the Ouro Preto Study]]></article-title>
<article-title xml:lang="es"><![CDATA[Métodos de antropometría para la detección de obesidad en escolares: el estudio de Ouro Preto]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cándido]]></surname>
<given-names><![CDATA[A. P. C.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alosta]]></surname>
<given-names><![CDATA[J. P. S.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[C. T.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Freitas]]></surname>
<given-names><![CDATA[R. N.]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Freitas]]></surname>
<given-names><![CDATA[S. N.]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Machado-Coelho]]></surname>
<given-names><![CDATA[G. L. L.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidade Federal de Juiz de Fora Departamento de Nutrição ]]></institution>
<addr-line><![CDATA[Juiz de Fora MG]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Universidade Federal de Ouro Preto Departamento de Ciências Médicas Laboratório de Epidemiologia]]></institution>
<addr-line><![CDATA[Ouro Preto MG]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Universidade Federal de Ouro Preto Departamento de Nutrição Clínica e Social ]]></institution>
<addr-line><![CDATA[Ouro Preto MG]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>02</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>02</month>
<year>2012</year>
</pub-date>
<volume>27</volume>
<numero>1</numero>
<fpage>146</fpage>
<lpage>153</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_arttext&amp;pid=S0212-16112012000100017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_abstract&amp;pid=S0212-16112012000100017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_pdf&amp;pid=S0212-16112012000100017&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Background and aims: Childhood obesity is increasing dramatically in last decades. To evaluate the usefulness of body mass index (BMI), skinfold thickness (ST), waist circumference (WC), and foot-to-foot bioelectrical impedance (BIA-FF) for screening for obesity in mixed-race popu lation, using the tetrapolar bioelectrical impedance (BIA-T) technique as reference method. Methods and results: A cross-sectional-based population study was performed in the city of Ouro Preto, Brazil, in 2006. Schoolchildren aged 6-15 years (n = 788) was randomly selected according to age and sex stratified by the proportion of students in each schools of the city. Nonparametric receiver operating characteristic (ROC) analysis was used to define the sensitivity and specificity for each method studied using the tetrapolar method as reference. The BMI and the BIA-FF were the most suitable for adiposity screening in pre-pubertal and pubertal stages because they present a better balance between sensitivity and specificity, and smaller misclassification. For post-pubertal boys, the BF-ST-D was the best body fat assessment method. Conclusion: The results suggest that BIA-FF and BMI are choice methods for obesity screening in mixed population and that the method choice for body fat screening must be done according to sexual maturity of boys and girls. The present study demonstrates the need to perform studies in wider mixed-race population to determine anthropometric parameters and to examine the predictive ability of methods and cut-offs here elucidated in the development of obesity.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Antecedentes y objetivos: La obesidad infantil está aumentando alarmantemente en las últimas décadas. Para evaluar la utilidad del índice de masa corporal (IMC), el grosor del pliegue cutáneo (GPC), la circunferencia de la cintura (CC), y la impedancia bioeléctrica pie-a-pie (BIA-PP) para el cribado de la obesidad en poblaciones con diversidad de razas utilizando una técnica de impedancia bioeléctrica tetrapolar (BIA-T) como el método de referencia. Métodos y resultados: se realizó un estudio transversal poblacional in la ciudad de Ouro Preto, Brasil, en el 2006. Se distribuyó al azar a escolares de 6-15 años (n = 788), que se seleccionaron en función de la edad y el sexo, estratificados por la proporción de estudiantes en cada colegio de la ciudad. Se utilizó un análisis no paramétrico de curvas ROC para definir la sensibilidad y la especificidad para cada método estudiado empleando el método tetrapolar como referencia. El IMC y la BIA-PP fueron los más idóneos para el cribado de la obesidad en las etapas prepuberales y puberales puesto que presentan un equilibrio mejor entre la sensibilidad y la especificidad y un menor fallo de clasificación. Para los niños prepúberes, el BF-GPC-D fue el mejor método de evaluación de la grasa corporal. Conclusión: Los resultados sugieren que la BIA-PP y el IMC son los métodos de elección para el cribado de la obesidad en poblaciones mixtas y que el método de elección para el cribado de la grasa corporal debe realizarse de acuerdo con la madurez sexual de los chicos y chicas. Este estudio demuestra la necesidad de realizar estudios en poblaciones mixtas más amplias para determinar los parámetros antropológicos y examinar la capacidad predictiva de los métodos y los puntos de corte obtenidos aquí en el desarrollo de la obesidad.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Obesity]]></kwd>
<kwd lng="en"><![CDATA[Bioelectrical impedance]]></kwd>
<kwd lng="en"><![CDATA[Sensibility]]></kwd>
<kwd lng="en"><![CDATA[Specificity]]></kwd>
<kwd lng="en"><![CDATA[Schoolchildren]]></kwd>
<kwd lng="es"><![CDATA[Obesidad]]></kwd>
<kwd lng="es"><![CDATA[Impedancia bioeléctrica]]></kwd>
<kwd lng="es"><![CDATA[Sensibilidad]]></kwd>
<kwd lng="es"><![CDATA[Especificidad]]></kwd>
<kwd lng="es"><![CDATA[Escolares]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p><font face="Verdana" size="2"><a name="top"></a><b>ORIGINAL</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="4"><b>Anthropometric methods for obesity screening in schoolchildren; the Ouro Preto Study</b></font></p>     <p><font face="Verdana" size="4"><b>Métodos de antropometría para la detección de obesidad en escolares; el estudio de  Ouro Preto</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>A. P. C. Cándido<sup>1</sup>, J. P. S. Alosta<sup>2</sup>, C. T. Oliveira<sup>2</sup>, R. N. Freitas<sup>3</sup>, S. N. Freitas<sup>3</sup> and G. L. L. Machado-Coelho<sup>2</sup></b></font></p>     <p><font face="Verdana" size="2"><sup>1</sup>Departamento de Nutriç&atilde;o. Universidade Federal de Juiz de Fora. Juiz de Fora. MG. Brazil.    <br><sup>2</sup>Laboratório de Epidemiologia. Departamento de Ci&ecirc;ncias Médicas. Universidade Federal de Ouro Preto. Ouro Preto. MG. Brazil.    <br><sup>3</sup>Departamento de Nutriç&atilde;o Clínica e Social. Universidade Federal de Ouro Preto. Ouro Preto. MG. Brazil.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><a href="#bajo">Correspondence</a></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p> <hr size="1">     <p><font face="Verdana" size="2"><b>ABSTRACT</b></font></p>     <p><font face="Verdana" size="2"><b>Background and aims:</b> Childhood obesity is increasing dramatically in last decades. To evaluate the usefulness of body mass index (BMI), skinfold thickness (ST), waist circumference (WC), and foot-to-foot bioelectrical impedance (BIA-FF) for screening for obesity in mixed-race popu lation, using the tetrapolar bioelectrical impedance (BIA-T) technique as reference method.    <br><b>Methods and results:</b> A cross-sectional-based population study was performed in the city of Ouro Preto, Brazil, in 2006. Schoolchildren aged 6-15 years (n = 788) was randomly selected according to age and sex stratified by the proportion of students in each schools of the city. Nonparametric receiver operating characteristic (ROC) analysis was used to define the sensitivity and specificity for each method studied using the tetrapolar method as reference. The BMI and the BIA-FF were the most suitable for adiposity screening in pre-pubertal and pubertal stages because they present a better balance between sensitivity and specificity, and smaller misclassification. For post-pubertal boys, the BF-ST-D was the best body fat assessment method.    <br><b>Conclusion:</b> The results suggest that BIA-FF and BMI are choice methods for obesity screening in mixed population and that the method choice for body fat screening must be done according to sexual maturity of boys and girls. The present study demonstrates the need to perform studies in wider mixed-race population to determine anthropometric parameters and to examine the predictive ability of methods and cut-offs here elucidated in the development of obesity.</font></p>     <p><font face="Verdana" size="2"><b>Key words:</b> Obesity. Bioelectrical impedance. Sensibility. Specificity. Schoolchildren.</font></p> <hr size="1">     <p><font face="Verdana" size="2"><b>RESUMEN</b></font></p>     <p><font face="Verdana" size="2"><b>Antecedentes y objetivos:</b> La obesidad infantil está aumentando alarmantemente en las últimas décadas. Para evaluar la utilidad del índice de masa corporal (IMC), el grosor del pliegue cutáneo (GPC), la circunferencia de la cintura (CC), y la impedancia bioeléctrica pie-a-pie (BIA-PP) para el cribado de la obesidad en poblaciones con diversidad de razas utilizando una técnica de impedancia bioeléctrica tetrapolar (BIA-T) como el método de referencia.    ]]></body>
<body><![CDATA[<br><b>Métodos y resultados:</b> se realizó un estudio transversal poblacional in la ciudad de Ouro Preto, Brasil, en el 2006. Se distribuyó al azar a escolares de 6-15 años (n = 788), que se seleccionaron en función de la edad y el sexo, estratificados por la proporción de estudiantes en cada colegio de la ciudad. Se utilizó un análisis no paramétrico de curvas ROC para definir la sensibilidad y la especificidad para cada método estudiado empleando el método tetrapolar como referencia. El IMC y la BIA-PP fueron los más idóneos para el cribado de la obesidad en las etapas prepuberales y puberales puesto que presentan un equilibrio mejor entre la sensibilidad y la especificidad y un menor fallo de clasificación. Para los niños prepúberes, el BF-GPC-D fue el mejor método de evaluación de la grasa corporal.    <br><b>Conclusión:</b> Los resultados sugieren que la BIA-PP y el IMC son los métodos de elección para el cribado de la obesidad en poblaciones mixtas y que el método de elección para el cribado de la grasa corporal debe realizarse de acuerdo con la madurez sexual de los chicos y chicas. Este estudio demuestra la necesidad de realizar estudios en poblaciones mixtas más amplias para determinar los parámetros antropológicos y examinar la capacidad predictiva de los métodos y los puntos de corte obtenidos aquí en el desarrollo de la obesidad.</font></p>     <p><font face="Verdana" size="2"><b>Palabras clave:</b> Obesidad. Impedancia bioeléctrica. Sensibilidad. Especificidad. Escolares.</font></p> <hr size="1">     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Introduction</b></font></p>     <p><font face="Verdana" size="2">Adult obesity is viewed as a public health issue in several countries, changing the epidemiologic profile of morbidity and mortality,<sup>1</sup> as it favours the occurrence of chronic and non-transmissible diseases.<sup>2</sup> In the last decades, it also has been afflicting children and teenagers in several countries,<sup>2</sup> including Brazil.<sup>3</sup> Obese children and teenagers are likely to remain obese in their adult life,<sup>4</sup> and the consequences of obesity, such as high blood pressure, dyslipidemia, and insulin resistance, may occur even in childhood.<sup>1,5</sup> The early detection and intervention may reduce obesity in childhood and in later stages of life, consequently reducing associated diseases.<sup>6</sup> However, the great obesity dilemma at that stage is the adoption of diagnosis criteria to define excess body fat, because the growth and development of several tissues and body compartments (such as bone tissue, muscle tissue, adipose tissue, and total body water) and sexual maturity<sup>7</sup> make it difficult to set anthropometric standards.<sup>8</sup> In addition to those limiting factors, other elements complicate the setting of such standards, such as the fact that the parameters are restricted to certain age groups and race/ethnicity and are usually determined through punctual studies and therefore recommended for the population for which they were determined.<sup>9</sup> Thus, there is not an international recommendation regarding the cut-off for body fat that defines the nutritional risk in the age group of 6-15 years, especially in mixed-race population. At the same time, because of the high association between obesity and non-transmissible diseases, methods studies and easy-torun, accessible equipments, which can offer reliable results and define diagnostic criteria and the screening of individuals in risk, become more and more necessary. Thus, the goal of this study was to determine the sensitivity and specificity of the body mass index, body fat estimated by skinfold thickness, body fat estimated by bipolar foot-to-foot bioelectrical impedance technique, and waist circumference for the definition of body fat excess, in relation to the reference method tetrapolar bioelectrical impedance technique, to validate those tools for the body composition assessment of a Brazilian paediatric mixedrace population.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Methods</b></font></p>     <p><font face="Verdana" size="2"><i>Study area and population</i></font></p>     <p><font face="Verdana" size="2">The city of Ouro Preto, located in the metallurgic region of Minas Gerais in the Southern Brazil, has 5,963 children (6-9 years old) and 4,897 adolescents (10-14 years old) attending all schools in the urban area<sup>10</sup>.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><i>Subjects and study design</i></font></p>     <p><font face="Verdana" size="2">A cross-sectional survey was conducted among schoolchildren chosen by simple random selection according to age, gender, and stratified by proportion of students in classes at all 15 state and two public schools. The sample size (n = 850) was calculated using the following premises: overweight prevalence (8%);<sup>11</sup> precision of 2%; 20% of losses; 90% of power and 5% of significant level. Children with special needs were not included in this study.</font></p>     <p><font face="Verdana" size="2"><i>Reference method</i></font></p>     <p><font face="Verdana" size="2">The reference method used for definition of obesity was tetrapolar bioelectrical impedance technique (BIA-T). Resistance and reactance values were provided by Quantum II BIA-T (RJL Systems Inc., Michigan, USA), and fat mass was derived using the software for children available on the BIA machine. All subjects refrained from eating, drinking, and exercising for 6 h before testing. Subjects were tested in the supine position with arms and legs abducted from the body. Shoes and socks were removed and contact areas were scrubbed with alcohol immediately before electrode placement. Source electrodes were placed proximal to the metacarpo-phalangeal joint on the dorsal surface of the right hand and distal to the transverse arch on the superior surface of the right foot. Sensor electrodes were placed at the midpoint between the distal prominence of the radius and ulna of the right wrist, and between the medial and lateral malleoli of the right ankle. Resistance and reactance were recorded to the nearest ohm. Obesity was defined by body fat percentage based on the 85<sup>th</sup> percentiles distribution. These percentiles were used, because at present, don´t have body fat cut-off for Brazilian children and adolescents.</font></p>     <p><font face="Verdana" size="2"><i>Anthropometric and body composition measurements</i></font></p>     <p><font face="Verdana" size="2">All data were collected simultaneously by a team of trained research assistants from March to December 2006. Anthropometric variables analyzed were weight, height, waist circumference (WC), skinfold thickness (ST), and body fat mass (BF). Weight and height were recorded using a TANITA BF542<sup>&reg;</sup> (Tanita Corporation of America, Arlington Heights, IL, USA) scale and WCS stadiometer (Cardiomed, Curitiba, Brazil). Body mass index (BMI, kg/m<sup>2</sup>) and BMI z-score (SDS)<sup>12</sup> were derived. Waist circumference (WC) was measured midway between the lowest rib and the iliac crest with an inelastic tape to the nearest 1 mm. The measurement was made at the end of a normal expiration while the subject stood upright, with feet together and arms hanging freely at the sides. To assess subcutaneous fat, the skinfold thickness of the following sites was measured: suprailiac, subscapular, triceps, and biceps using Cescorf callipers (Cescorf Inc., Porto Alegre, Brazil). All measurements were made on the right side of the subject and obtained in triplicate by a team of specially trained technicians. The average of three measures was calculated for each site, and equations were used to predict percent fat in accordance to Deurenberg et al, 1990<sup>13</sup> (BF-ST-D) and Slaugther et al, 1988<sup>14</sup> (BF-ST-S). The BF was estimated with bipolar foot-to-foot bioelectrical impedance (BIA-FF) technique using the Tanita<sup>&reg;</sup> scale, with subjects stand erect on the platform without socks and metallic objects.</font></p>     <p><font face="Verdana" size="2"><i>Sexual maturity and skin colour</i></font></p>     <p><font face="Verdana" size="2">Sexual maturity was available using a self-report questionnaire based on Tanner´s criteria: pre-pubertal (1Tanner stage), pubertal (2-3 Tanner stage) and postpubertal (4-5 Tanner stage).<sup>15</sup> Skin colour was available by using a self-report questionnaire.</font></p>     <p><font face="Verdana" size="2"><i>Ethical aspects</i></font></p>     <p><font face="Verdana" size="2">This project was approved by the Institutional Review Board of the Federal University of Ouro Preto (Protocol Number 2004/46). Participation in the study was entirely voluntary: child consent and signed informed consent of the parents or legal guardians of each participant were obtained prior of the study.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><i>Statistical analyses</i></font></p>     <p><font face="Verdana" size="2">The analyses were stratified by sex and sexual maturity, sing BIA-T as the reference method. It were calculated the sensitivity (probability of detecting truly obese individuals) and specificity (probability of detecting truly not obese individuals) for each point of the different anthropometrics variables, and these index were plotting on the receiver operating characteristic (ROC) and compared by McNemar chi-square test. Youden index was used to measure the accuracy of diagnostic test. Differences between values were considered statistically significant for  p values &le; 0.05. Statistical analyses were carried out in SPSS software (version 13.0; SPSS Inc, Chicago, IL, USA).</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Results</b></font></p>     <p><font face="Verdana" size="2">The demographic characteristics of the schoolchildren showed that total sample (n = 788) was composed of 52.3% girls and 47.7% boys, aged 6-15 years, being 162 (46.3%) pre-pubertal, 123 (51.5%) pubertal e 127 (62.9%) post-pubertal girls; 187 (53.7%) pre-pubertal, 116 (48.5 pubertal e 73 (37.1%) post-pubertal boys. In relation to skin colour, 615 students (82.0%) were auto-defined as mixed race, 110 (14.7%) as white, and 25 (3.3%) as black.</font></p>     <p><font face="Verdana" size="2">In <a target="_blank" href="/img/revistas/nh/v27n1/17_original_06_t1.gif">table I</a> are presented the anthropometric characteristics of the schoolchildren. All variables show the symmetrical distribution. In both girls and boys, weight, height, BMI, WC, and body fat generally increased significantly with age and sexual maturity, except BF-ST-S in boys.</font></p>     <p><font face="Verdana" size="2">In girls, body fat assessed by the BIA-T showed strong to weak correlation (r = 0.89 to r = 0.42; p = 0.01) with anthropometric variables, and with boys, moderate to weak correlation (r = 0.76 to r = 0.31; p = 0.01). We observed good correlation between BIA-T and BIA-FF (r &asymp; 0.88; p = 0.01), and BMI (r &asymp; 0.87; p = 0.01) and WC (r &asymp; 0.84; p = 0.01), in pre-puberal e puberal girls; and only BIA-FF (r = 0.81; p = 0.01) in post-puberal girls. In boys, moderate correlation was observed between BIA-T and BIA-FF (r &asymp; 0.74; p = 0.01), and BMI (r &asymp; 0.74; p = 0.01) and WC (r &asymp; 0.71; p = 0.01), in pre-puberal e post-puberal period; and only BIA-FF (r = 0.75; p = 0.01) in puberal boys. Heigth presented weak correlation in both genders in prepuberal and puberal period and no correlation in postpubertal period (data not shown).</font></p>     <p><font face="Verdana" size="2">In <a target="_blank" href="/img/revistas/nh/v27n1/17_original_06_t2.gif">table II</a> are described the sensitivity values, specificity, false positive, false negative, and Youden index for the anthropometric variables regarding the BIA-T in girls according to sexual maturity. Considering the balance between sensitivity and specificity of the different methods, we observed that only cutoffs of WC increased according to sexual maturity. In pre-pubertal stage, the methods presenting highest sensitivity (100%) were WC and BIA-FF, and highest specificity (99.3%) was BMI. BMI presenting smaller misclassification with a higher Youden index (86.8) and no difference between reference method (p = 1.0) being more suitable to detect excess body fat compared with the other methods. In pubertal stage, the methods presenting highest sensitivity (96.3%) was BIA-FF, being WC the most specific (97.9%). BIA-FF showed best balance between sensitivity and specificity, smaller misclassification (Youden index = 90.0), and no difference between reference method (p = 0.07). In post-pubertal stage, the methods with highest sensitivity (93.9%) in detecting obesity were BF-ST-D, and with most specificity (93.2%) was BIA-FF. Similar to pubertal stage, BIA-FF showed more suitable to detect excess body fat in post-pubertal stage (best balance sensitivity/specificity, Youden index = 81.2, and p = 1.0). In <a target="_blank" href="/img/revistas/nh/v27n1/17_original_06_f1.gif">figure 1</a> are presented sensitivity and specificity of the different methods for obesity diagnosis among schoolchildren.</font></p>     <p><font face="Verdana" size="2">In <a target="_blank" href="/img/revistas/nh/v27n1/17_original_06_t3.gif">table III</a> are described the values of sensitivity, specificity, false positive, false negative, and Youden index for the anthropometric variables among boys according to sexual maturity. Only cutoffs of WC and BIA-FF increased according to sexual maturity. In prepubertal stage, the method with highest sensitivity (100%) were BIA-FF, BF-ST-S, and BF-ST-D; and with highest specificity (98.1%) was WC. However, BIA-FF showed that difference between reference method revealed a better balance between sensitivity and specificity and smaller misclassification (Youden index = 96.2) when compared with the other methods. In pubertal stage, the methods presenting the highest sensitivity (100%) were BMI, BF-ST-S, and BF-ST-D. The methods with highest specificity (96.9%) were BIA-FF and WC. Similar to pubertal stage, BIA-FF was the method that presented best balance between sensitivity and specificity, being more suitable to detect excess body fat compared with the other methods (Youden index = 84.4 and p = 1.0). In post-pubertal stage, all methods presented high sensitivity (100%) except BMI, being this most specific (91.4%). The body fat percentage obtained through skinfold thickness using the Deurenberg predictive equation showed difference between reference method, however, was the method with best balance between sensitivity and specificity and smaller misclassification (Youden index = 91.4). In <a target="_blank" href="/img/revistas/nh/v27n1/17_original_06_f1.gif">figure 1</a> are presented receiver operating characteristic curves for obesity diagnosis among schoolchildren.</font></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><b>Discussion</b></font></p>     <p><font face="Verdana" size="2">In this study, tetrapolar bioelectrical impedance analysis (BIA-T) was considered to be reference method to assess body fat percentage because it has shown a high correlation coefficient (r &ge; 94) in comparison to gold standard method of body composition assessment dual-energy X-ray absorptiometry (DXA).<sup>16</sup> Although BIA-T is a less accurate method compared with DXA, it can be used in epidemiology population studies because it is a portable device and easy to run and do not offer risks of radiation exposure, allowing a larger sample of children and teenagers. In this study, a good correlation between BIA-T and BMI, WC, and BIA-FF methods was observed, especially in girls. BMI and BIA-FF were the most suitable methods for obesity screening in this population because they present a higher positive likelihood ratio and a better balance between sensitivity and specificity.</font></p>     <p><font face="Verdana" size="2">Generally, the cutoffs for each method increased according to gender and sexual maturity, showing the interference of hormonal changes in body composition during puberty.<sup>7,17,18</sup> According to Díaz et al., 1996,<sup>19</sup> BMI increases significantly from 0.5 to 1.3 kg/m<sup>2</sup> in each sexual maturity stage in girls. Similarly, BMI increased steadily with age in boys, as soon as WC in both genders.<sup>20</sup> Thus, analyzing the body changes based only on chronological age may lead to oblique results because children of the same age do not necessarily present the same body standards.</font></p>     <p><font face="Verdana" size="2">BMI is an easy and reproducible body fat index, being validated in childhood by body composition methods.<sup>21</sup> In pre-pubertal stage, the use of BMI may be useful to identify obese girls because the methods sensitivity is high. Dencker et al., 2007<sup>21</sup> suggest, in a cross-sectional study of subjects aged 8-11 years, that BMI serves as a good surrogate marker for obesity in pre-pubertal children; however, significantly lower correlation existed for body fat distribution. During pre-puberty, the linear growth is less intense,<sup>7,17,18</sup> so the evaluation of this index do not present the bias resulting from the influence of height, which acts on BMI as covariable changeable with age.<sup>22</sup> However, a limitation in BMI use must be underscored because it is not an adiposity quantitative measure but a body mass measure. That means that, in this stage, because of the accelerated height growth, an increase in BMI may be due to the increase not only of fatty tissue but also of lean body mass, especially among boys.<sup>17,23</sup> Another limitation of BMI involves the cutoffs that define obesity, as those are statistical derivations based on national representative samples.<sup>8,22</sup> Consequently, there is no consensus among the anthropometric criteria.<sup>24</sup> Thus, BMI should be used more as an obesity screening method in population studies than to identify body composition.<sup>24</sup></font></p>     <p><font face="Verdana" size="2">BIA-FF presented a good correlation with BIA-T, being the best method to evaluate teenage girls in pubertal and post-pubertal stage. In that period, girls accumulate fatty tissue more rapidly and in a higher proportion than boys, reaching an annual average gain of 1.14 kg of fatty tissue, whereas boys keep a relatively constant average. <sup>17</sup> Unlike in boys, the growth speed is more stable in girls, and the height increase is progressively smaller.<sup>7,17,18</sup> Changes in body fat distribution also occur in that stage, resulting in typical android and gynecoid standard observed among girls.<sup>17</sup> BIA-FF also showed to be a suitable method to assess boys in pre-pubertal stage. The use of BIA-FF in that phase was evaluated by Goldfield et al., 2006,<sup>25</sup> who verified that the body fat percentage assessment by the bipolar balance is valid among children between 7 and 12 years of age. However, BIA-FF use in body composition assessment in overweight and obese subjects is not recommended because of an interindividual variability in fat mass estimates.<sup>26</sup></font></p>     <p><font face="Verdana" size="2">ST assesses the subcutaneous body fat, and its use in children and teenagers is recommended by several studies.<sup>27</sup> Prediction equations are used to determine the body fat percentage; however, it is especially valid for the population for which it is derived.<sup>7</sup> In this study, the fat percentage obtained by skinfold, especially when obtained by Deurenberg predictive equation, was capable of predicting adiposity among truly obese boys in post-pubertal stage. Otherwise, Rodriguez et al, 2005<sup>28</sup> showed that limits of agreement were narrower in other equations than those obtained from the Deurenberg predictive equation. In that stage, boys have a significant increase in bone and muscle growth ith a simultaneous loss of fat in the limbs,<sup>7,17</sup> and the presence of subcutaneous fatty tissue may be an obesity indicator among boys, which may not have been detected by the other methods. According to Nooyens et al, 2007,<sup>27</sup> the skinfold method presented the best capacity of predicting obesity in adulthood, when compared with BMI.</font></p>     <p><font face="Verdana" size="2">WC is an important abdominal obesity indicator among children and teenagers, being able to predict the future risk of metabolic complications.<sup>29</sup> In this study, WC presented highest specificity in the adiposity assessment in pre-pubertal stage in boys and pubertal stage in both gender. This adiposity assessment is, probably, more abdominal adiposity than general adiposity. The cut-ffs found are above the 75 percentile proposed by Fernández et al., 2004,<sup>30</sup> which facilitate its use in population screening. According to those authors, WC values that are higher than the 75 and 90<sup>th</sup> are important to identify comorbidities, such as heart diseases, hyperinsulinaemia and diabetes mellitus. Thedefinition of accurate parameters that predict abdominal adiposity risk in children and teenagers through the WC is scarce and restricted to specific population studies<sup>9,30,31</sup> perhaps because individuals are under full body development or because of the lack of internationally determined prospective studies that prove the association of WC cutoffs to the risk of diseases.</font></p>     <p><font face="Verdana" size="2">The graphical analysis of several cutoffs obtained by different methods allowed us to choose the most suitable for screening study, that is, with highest sensitivity (BMI), but, for being less precise, it must be associated with the most specific method to confirm obesity (BIAFF). This procedure´s association combines the low cost and practicality of BMI with the precision obtained by BIA-FF. As expected, the cutoffs verified in this study differ from the cutoffs from other studies analyzing body fat because body standard varies according to the ethnic group.<sup>9,19,31</sup> The body fat cutoff values of 20% for boys and 30% for girls, defined by Williams et al, 1992,<sup>32</sup> show the inconvenience to be for race-defined population (black and white) and maybe inappropriate for mixedrace population. In accordance to Eissa et al., 2009,<sup>20</sup> BMI, fat-free mass index, fat mass index, and WC change during adolescence and diverge between black and white girls and boys. In spite of study in Ouro Preto does not to define cutoffs, demonstrate the need to carry out studies wider in mixed race populations to determine these anthropometric parameters.<sup>33</sup></font></p>     <p><font face="Verdana" size="2">In evaluating all the values for BMI, WC, body fat percentage by skinfold thickness, and bipolar impedance, it was observed that these are below the 85<sup>th</sup> risk indicator, which makes the nutritional evaluation by sexual maturity stage and ethnic group more sensible.<sup>34</sup></font></p>     <p><font face="Verdana" size="2">A limitation of this study was that the age group analyzed in our study was up to 15 years, when puberty development usually occurs on later in boys than in girls.<sup>7,17,18</sup> This fact may have interfered in the low number of boys in pre-pubertal stage. Another limitation of this study was the use of the self-referred sexual maturity. However, some authors showed good agreement between child and physician assessment of sexual maturity status.<sup>35</sup></font></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Conclusion</b></font></p>     <p><font face="Verdana" size="2">In this study good correlation between BIA-T and BMI, WC, and BIA-FF methods was observed, especially in girls. The results suggest that BIA-FF and BMI are choice methods for obesity screening in mixed population and that the method choice for body fat screening must be done according to sexual maturity of boys and girls. The present study demonstrates the need to perform studies in wider mixed-race population to determine anthropometric parameters and to examine the predictive ability of methods and cutoffs here elucidated in the development of obesity.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Acknowledgments</b></font></p>     <p><font face="Verdana" size="2">The authors wish to thank Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq (Grant n.<sup>o</sup> 474965/04), Coordenaç&atilde;o de Aperfeiçoamento de Pessoal de Nível Superior, CAPES and Prefeitura Municipal de Ouro Preto for financial support. GLLMC is recipient of a CNPq individual research grant of productivity.</font></p>     <p><font face="Verdana" size="2">The authors declare that they have no conflict of interests.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Key points</b></font></p>     <p><font face="Verdana" size="2">This study shows that BMI and body fat assessment through bipolar impedance was the most accurate method to identify children and teenagers in risk of obesity in comparison with reference method.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">The cutoffs for each method increased according to gender and sexual maturity, showing the interference of hormonal changes in body composition during puberty, and that cutoffs should be defined by sexual maturity.</font></p>     <p><font face="Verdana" size="2">Implications for public health policy and practice are the larger number of tools for the analysis of the corporal profile, especially in childhood and adolescence, will enable preventive actions that are more effective in the obesity reduction.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>References</b></font></p>     <!-- ref --><p><font face="Verdana" size="2">1. Botton J, Heud B, Kettaneh A et al. Cardiovascular risk factor levels and their relationships with overweight and fat distribution in children: The Fleurbaix Laventie Ville Sante´ II study. <i>Metabolism</i> 2007; 56: 614-22.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3639155&pid=S0212-1611201200010001700001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">2. WHO. Population-based prevention strategies for childhood obesity: report of a WHO forum and technical meeting, Geneva, 15- 17 December 2009. Available at: <a target="_blank" href="http://www.who.%20int/dietphysicalactivity/%20childhood/child-obesity-eng.pdf">http://www.who. int/dietphysicalactivity/ childhood/child-obesity-eng.pdf</a>. (Accessed in July 2011).    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3639157&pid=S0212-1611201200010001700002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">3. IBGE. Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2008-2009: Antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística. Available at: <a target="_blank" href="http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009_encaa/pof_20082009_encaa.pdf">http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009_encaa/pof_20082009_encaa.pdf</a>. (Acessed in June 2011).    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3639159&pid=S0212-1611201200010001700003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    ]]></body>
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<body><![CDATA[<!-- ref --><p><font face="Verdana" size="2">34. Kuczmarski RJ, Ogden CL, Guo SS et al. 2000 CDC Growth Charts for the United States: methods and development. <i>Vital Health Stat</i> 2002; 246: 1-190.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3639221&pid=S0212-1611201200010001700034&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">35. Schall JI, Semeao EJ, Stallings VA, Zemel BS. Self-assessment of sexual maturity status in children with Crohn´s disease. <i>J Pediatr</i> 2002; 141: 223-9.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3639223&pid=S0212-1611201200010001700035&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><a href="#top"><img border="0" src="/img/revistas/nh/v27n1/seta.gif" width="15" height="17"></a><a name="bajo"></a><b>Correspondence:</b>    <br>Ana Paula Carlos Cândido.    <br>Departamento de Nutriç&atilde;o.    <br> Instituto de Ci&ecirc;ncias Biológicas.    ]]></body>
<body><![CDATA[<br>Universidade Federal de Juiz de Fora.    <br>Rua José Lourenço Kelmer, s/n.    <br>Campus Universitario, Bairro S&atilde;o Pedro.    <br>CEP: 36036-330 Juiz de Fora, MG, Brazil    <br>E-mail: <a href="mailto:anapaula.candido@ufjf.edu.br">anapaula.candido@ufjf.edu.br</a></font></p>     <p><font face="Verdana" size="2">Recibido: 20-V-2011.    <br>1.<sup>a</sup> Revisión: 11-VII-2011.    <br>Aceptado: 23-VII-2011.</font></p>      ]]></body><back>
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