<?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>0004-0622</journal-id>
<journal-title><![CDATA[Archivos Latinoamericanos de Nutrición]]></journal-title>
<abbrev-journal-title><![CDATA[ALAN]]></abbrev-journal-title>
<issn>0004-0622</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Latinoamericana de Nutrición]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0004-06222001000300003</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Growth and hematological studies on brazilian children of low socioeconomic level]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nogueira-de-Almeida]]></surname>
<given-names><![CDATA[Carlos A]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ricco]]></surname>
<given-names><![CDATA[Rubens G]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Del Ciampo]]></surname>
<given-names><![CDATA[Luiz A]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[de Souza]]></surname>
<given-names><![CDATA[Ana Maria]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Dutra-de-Oliveira]]></surname>
<given-names><![CDATA[José Eduardo]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,University of Ribeirao Preto  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2001</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2001</year>
</pub-date>
<volume>51</volume>
<numero>3</numero>
<fpage>230</fpage>
<lpage>235</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0004-06222001000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0004-06222001000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0004-06222001000300003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Anemia and undernutrition are common all over the world, especially in less developed countries. The relationship between low weight, short stature and iron deficiency should be better understood so that appropriate measures might be taken to prevent these problems. A total of 115 institutionalized children aged 12 to 72 months were studied in day-care insitutions in the town of Pontal, Southeastern Brazil, during the second semester of 1999. Personal data, weight, height and hematological profile were obtained from all subjects. Food intake was evaluated in 20 children by a direct food-weighing method. The prevalence of low weight for age (2.6%), low weight for height (1.7%) and low height for age (4.3%) was considered low. Anemia was observed in 68.7% of the children. Diet was found to be adequate in terms of the major nutrients evaluated, but food iron supply was of low bioavailability. In conclusion, the population studied revealed a peculiar behavior i.e., the coexistence of fairly good anthropometric nutritional status along with iron-deficiency anemia. The prevention of this kind of malnutrition cannot be limited to an adequate calorie/protein supply but should also be based on the correction of the severe iron deficiency present in this low socioeconomic level preschool children in Brazil.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Crescimento e estado nutricional de ferro em crianças brasileiras de baixo nível sócio-econômico. Anemia e Subnutrição são problemas comuns em todo o mundo, especialmente nos países menos desenvolvidos. A relação entre baixo peso e baixa estatura e a deficiência de ferro precisam ser melhor compreendidas para que se possam instituir medidas de combate adequadas. Foram avaliadas 115 crianças institucionalizadas, com idades entre 12 e 72 meses, no segundo semestre de 1999, na cidade de Pontal, Sudeste do Brasil. Obtiveram-se Dados Pessoais, Peso, Estatura e dados Hematológicos. A partir de uma amostra de 20 crianças, foi realizada avaliação da alimentação através do método de Pesagem Direta dos Alimentos. As Prevalências de Baixo Peso para Idade (2,6%), Baixo Peso para Estatura (1,7%) e Baixa Estatura para Idade (4,3%) foram consideradas baixas. Observou-se Anemia em 68,7% das crianças. A alimentação revelou-se em geral adequada para os nutrientes avaliados mas observou-se que o ferro oferecido era de baixa biodisponibilidade. Em conclusão, a população estudada revelou um aspecto bastante peculiar isto é, a coexistência de bom estado nutricional antropométrico e anemia ferropriva. A prevenção desse tipo de subnutrição não pode se limitar ao adequado fornecimento de calorias e proteínas mas deve levar em conta, também, a presença marcante da deficiência de ferro nessa população carente do Brasil.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Anemia]]></kwd>
<kwd lng="en"><![CDATA[malnutrition]]></kwd>
<kwd lng="en"><![CDATA[children]]></kwd>
<kwd lng="en"><![CDATA[alimentation]]></kwd>
<kwd lng="en"><![CDATA[nutritional status]]></kwd>
<kwd lng="en"><![CDATA[iron deficiency.]]></kwd>
<kwd lng="pt"><![CDATA[Anemia]]></kwd>
<kwd lng="pt"><![CDATA[desnutrição]]></kwd>
<kwd lng="pt"><![CDATA[criança]]></kwd>
<kwd lng="pt"><![CDATA[alimentação]]></kwd>
<kwd lng="pt"><![CDATA[estado nutricional]]></kwd>
<kwd lng="pt"><![CDATA[deficiência de ferro.]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <B>     <P align=center><font size="4">Growth and hematological studies on brazilian children of low  socioeconomic level</font></P></B><I>     <P align=left>Carlos A. Nogueira-de-Almeida,<B> </B>Rubens G. Ricco, Luiz A.  Del Ciampo, Ana Maria de Souza, José Eduardo Dutra-de-Oliveira</P></I>     <P align=center>University of Ribeirão Preto, SP, Brazil</P><B>     <P align=justify>SUMMARY.</B> </P>     <P align=justify>Anemia and undernutrition are common all over the world,  especially in less developed countries. The relationship between low weight,  short stature and iron deficiency should be better understood so that  appropriate measures might be taken to prevent these problems. A total of 115  institutionalized children aged 12 to 72 months were studied in day-care  insitutions in the town of Pontal, Southeastern Brazil, during the second  semester of 1999. Personal data, weight, height and hematological profile were  obtained from all subjects. Food intake was evaluated in 20 children by a direct  food-weighing method. The prevalence of low weight for age (2.6%), low weight  for height (1.7%) and low height for age (4.3%) was considered low. Anemia was  observed in 68.7% of the children. Diet was found to be adequate in terms of the  major nutrients evaluated, but food iron supply was of low bioavailability. In  conclusion, the population studied revealed a peculiar behavior i.e., the  coexistence of fairly good anthropometric nutritional status along with  iron-deficiency anemia. The prevention of this kind of malnutrition cannot be  limited to an adequate calorie/protein supply but should also be based on the  correction of the severe iron deficiency present in this low socioeconomic level  preschool children in Brazil. </P><B>     <P align=justify>Key words:</B> Anemia, malnutrition, children, alimentation,  nutritional status, iron deficiency.</P><B>     <P align=justify>RESUMO. </P></B>     <P align=justify>Crescimento e estado nutricional de ferro em crianças  brasileiras de baixo nível sócio-econômico. Anemia e Subnutrição são problemas  comuns em todo o mundo, especialmente nos países menos desenvolvidos. A relação  entre baixo peso e baixa estatura e a deficiência de ferro precisam ser melhor  compreendidas para que se possam instituir medidas de combate adequadas. Foram  avaliadas 115 crianças institucionalizadas, com idades entre 12 e 72 meses, no  segundo semestre de 1999, na cidade de Pontal, Sudeste do Brasil. Obtiveram-se  Dados Pessoais, Peso, Estatura e dados Hematológicos. A partir de uma amostra de  20 crianças, foi realizada avaliação da alimentação através do método de Pesagem  Direta dos Alimentos. As Prevalências de Baixo Peso para Idade (2,6%), Baixo  Peso para Estatura (1,7%) e Baixa Estatura para Idade (4,3%) foram consideradas  baixas. Observou-se Anemia em 68,7% das crianças. A alimentação revelou-se em  geral adequada para os nutrientes avaliados mas observou-se que o ferro  oferecido era de baixa biodisponibilidade. Em conclusão, a população estudada  revelou um aspecto bastante peculiar isto é, a coexistência de bom estado  nutricional antropométrico e anemia ferropriva. A prevenção desse tipo de  subnutrição não pode se limitar ao adequado fornecimento de calorias e proteínas  mas deve levar em conta, também, a presença marcante da deficiência de ferro  nessa população carente do Brasil.</P><B>     <P align=justify>Palavras chave: </B>Anemia, desnutrição, criança, alimentação,  estado nutricional, deficiência de ferro.</P>     ]]></body>
<body><![CDATA[<P align=justify>Recibido: 27-04-2000 Aceptado: 02-08-2001</P> <B>     <P align=center>INTRODUCTION</P></B>     <P align=justify>Undernutrition and anemia are detected in many developing  countries, especially among children of lower socioeconomic condition.  Inadequate food intake, parasitic infestations, poor hygiene, low educational  level and low acquisitive power are some of the main causes of these high  prevalences. The presence and relationship of these factors in different areas  and countries is of great importance for a better understanding of the  physiopathology, prevalence and prevention of these conditions.</P>     <P align=justify>Undernutrition of different degrees is still a highly prevalent  problem in many countries and regions, especially among children under five  years of age. UNICEF (1) data show that from 1990 to 1998, the prevalence of  moderate and severe forms of low weight for age was 40% in underdeveloped  countries, 31% in developing countries, 10% in Latin America and the Caribbean,  and 30% in the World as a whole. In Brazil, data from Health Authorities (2)  showed that in 1996, 5.7% of the children had severe weight deficiency for age.  Regional differences are found in our country, with a prevalence of 8.3% in less  developed regions and a prevalence of 2 to 4.7% in the more developed South and  Southeast areas (2).</P>     <P align=justify>Iron deficiency is known to be the most frequent nutritional  disorder world over, affecting large number of persons in all countries. More  than two billion people are estimated to be affected, with anemia occurring in  half of them (3). In Brazil, the prevalence of anemia has been shown to be high  and to be on the rise in some regions. In 1974, 22% of children aged 6 to 60  months living in the City of São Paulo were anemic (4). Monteiro and Szarfac (5)  reported that, in 1984-1985, the prevalence of anemia in the State of São Paulo  was 35.6% among children aged 6 to 60 months. Torres et al. (6) reported in 1993  a 59.1% prevalence of anemia among children aged 6 to 23 months attending 160  health units in 63 counties of the State of São Paulo.</P>     <P align=justify>Simultaneous presence of children undernutrition and anemia has  been shown in Brazil and other parts of the world where malnutrition is severe  (1, 7, 8). On the other hand, the presence of anemia with normal growth is not  so common and requires further investigation in terms of physiophatology and  prevention. In Brazil, Dutra-de-Oliveira reported the presence of this situation  in a small sample of children attending day-care centers in the State of São  Paulo, Southern part of the country (9).</P>     <P align=justify>Considering all these factors, the present investigation was  carried out on a group of children of low socioeconomic level attending day-care  centers in a small town in Southeast Brazil in order to characterize the  nutritional status of these children, mainly through anthropometric data, and to  relate it to their hematological status. Information on the food offered to the  children was also obtained in to discuss its possible relationship to the iron  status. The importance of these findings for current complementary nutrition  programs for Brazilian children is emphasized.</P><B>     <P align=center>MATERIAL AND METHODS</P></B>     <P align=justify>The study was carried out at 2 public day-care centers in a  small town called Pontal, State of S. Paulo, with a large underprivileged  population, including rural workers. According to the 1996 census of the  Brazilian Institute of Geography and Statistics, the town has about 26,916  inhabitants, 4,378 of whom are rural workers. A total of 27,177 of the 31,947  hectares of the county area are used for agricultural activities, mainly  sugar-cane production (10). The day-care centers studied are the only public  ones operating in the town, providing care for most of the children from poorer  families, whose parents work outside their homes.</P>     <P align=justify>At first 228 children, aged 12 to 72 months, were included in  the study and their parents authorized them to participate. Of these, 115  completed the study while the remaining ones were excluded because of febrile  diseases, impossibility to perform anthropometry or incomplete laboratory tests.  Data were collected from July 1 to December 31, 1999. The study was approved by  the local Health Ethics Committee. </P>     ]]></body>
<body><![CDATA[<P align=justify>Three types of data were collected: clinical  nutritional/anthropometric values, hematological laboratory evaluation and food  intake. The nutritional study included clinical and anthropometric data such as  age, sex, weight, and height. The ASP software (11) was used to calculate the z  scores for weight for age (W/I), weight for height (W/H) and height for age  (H/A). Children with a z score higher than -2 were considered to be eutrophic,  and children with a z score lower than -2 were considered to be  anthropometrically deficient. The mean (M), standard deviation (SD) and the  median (MD) were also calculated for the three indices used. The anthropometric  measurements were made by a nurse trained for this task, using research type  scales and anthropometers, controlled and calibrated against standard  parameters.</P>     <P align=justify>The material for the hematology studies was collected in the  morning when the children arrived at the day-care center, under fasting  conditions. Seven ml of blood was obtained from the cubital vein and divided  into two tubes, with and without anticoagulant. The samples were sent to two  laboratories of recognized competence, linked to the University, where the  following determinations were carried out:</P> <DIR>     <P align=justify>- Hemoglobin, hematocrit and mean corpuscular volume (MCV)  using a T-890<SUP>R </SUP>Coulter counter.</P>     <P align=justify>- Serum iron and total iron binding capacity (TIBC) using the  ferrozine method and the Cobas Mira Plus kit (Roche <SUP>R</SUP>), with  calculation of the transferrin saturation index (TSI) as the ratio of serum iron  to TIBC. </P>     <P align=justify>- Ferritin, by the Enzyme Linked Fluorescent Assay, using the  Mimividas kit (Bio-Mérieux <SUP>R</SUP>).</P>     <P align=justify>- Transferrin receptor: determined by immunoenzymatic assay  using the Spectro-Ferritin kit of Ramco Laboratories <SUP>R</SUP>.</P>     <P align=justify>- Test of red blood cell sickling.</P></DIR>     <P align=justify>The following cut-off points were used to determine anemia and  iron-deficiency (12-15): hemoglobin (lower than 11 mg/dl for children younger  than 4 years and lower than 11.5 mg/dl for chidlren older than 4 years), MCV  (lower than 72 fl for children younger than 4 years and lower than 75 fl for  children older than 4 years), TSI (lower than 12%), ferritin (lower than 12  ng/ml), transferrin receptor (higher than 28 nmol/l). </P>     <P align=justify>For the diet study, a random sample of their daily food intake  was obtained from 20 children, including all meals and using the method of  direct individual food weighing (16). The data for individual consumption of  each meal was obtained on two different days during the week. The meals were  monitored from breakfast to supper, for a total of four meals a day. The  ingested foods were weighed on an electronic scale with 0.01 g sensitivity;  leftover food and repeated intake were also determined, when present. When  parents of the 20 children who had their food intake measured came to the  institution to pick up their children, they were instructed to record any food  offered to the children that night and the record was delivered to us on the  following day. The total food intake were recorded and analyzed with a computer  software (17).</P>     <P align=justify>Intake of calories, macro and micro nutrients was calculated  and compared to the recommended dietary allowances (18). To guarantee that the  results obtained from the food intake survey could be extrapolated to the study  population, the 20 children were divided into two groups of 10, which were  compared with the parcel of the population of the same age range in terms of 3  variables: z score for weight for age, hemoglobin value and MCV value. Data were  analyzed by the Student <I>t</I>-test, with the level of significance set at 5%  using the estimate of the confidence intervals. The groups were considered to be  similar when the population mean was within the confidence interval estimated on  the basis of the sample mean for the three variables evaluated (19).</P><B>     ]]></body>
<body><![CDATA[<P align=center>RESULTS AND DISCUSSION</P></B>     <P align=justify><A HREF="#Tab1">Table 1</A> summarizes the results obtained for the anthropometric  and laboratory studies. It can be seen that the children were distributed over  all the age ranges proposed, with a slight predominance of older children. Sex  distribution was practically identical. With respect to anthropometry, 8.7%  presented deficiency of at least one of the indices studied, the most frequent  deficit being height/age (4.3%). The mean and median z scores for weight/age  (-0.2 and -0.1) and for weight/height (0 and 0) were always close or equal to 0.  The z score for height/age tended to show lower values (-0.2 and -0.3), with a  mean and median lower than zero associated with a higher standard deviation (SD  -1.2). </P>     <P align=justify>When these anthropometric values were compared with data for  the United States and the Brazilian population (20), the mean z score for  weight/height (-0.2) was above the Brazilian mean (-0.71) and comparable to the  mean for white American children (0.11). The mean z score for the height/age  index (-0.2) was higher than the Brazilian mean (-1.32) and similar to the  American mean (-0.23). These facts, show the anthropometric index for the  population studied to be quite satisfactory, a characteristic of the more  developed areas of Brazil, especially the Southeast. Anthropometric evaluation  of nutritional status yields results similar to those obtained in developed  countries, with a low prevalence of anthropometric deficits. Comparing data for  the reference population of Brazil, the Southeast Region (21), with NCHS (22), a  high agreement is found between the two populations in terms of weight and  height with Brazilian medians actually almost always higher than American ones  (23).</P><B> <A NAME="Tab1"></A>     <P align=center>TABLE 1</P></B>     <P align=center>Data from the 115 children of the two institutions studied</P>     <div align="center">       <center> <TABLE border=1 cellPadding=4 cellSpacing=1 width=396>   <TBODY>   <TR>     <TD vAlign=top width="83">           <P align=center><B>Variable</B></P></TD>     <TD vAlign=top width="172"><B>           <P align=center>Description</B></P></TD>     <TD vAlign=top width="31"><B>           <P align=center>Total</B></P></TD>     <TD vAlign=top width="28"><B>           ]]></body>
<body><![CDATA[<P align=center>%</B></P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P align=center>AGE</P></TD>     <TD vAlign=top width="172">           <P align=center>12 to 24 months</P></TD>     <TD vAlign=top width="31">           <P align=center>13</P></TD>     <TD vAlign=top width="28">           <P align=justify>11.3</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>25 to 36 months</P></TD>     <TD vAlign=top width="31">           <P align=center>18</P></TD>     <TD vAlign=top width="28">           <P align=justify>15.7</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           ]]></body>
<body><![CDATA[<P align=center>37 to 48 months</P></TD>     <TD vAlign=top width="31">           <P align=center>29</P></TD>     <TD vAlign=top width="28">           <P align=justify>25.2</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>49 to 60 months</P></TD>     <TD vAlign=top width="31">           <P align=center>28</P></TD>     <TD vAlign=top width="28">           <P align=justify>24.3</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>61 to 72 months</P></TD>     <TD vAlign=top width="31">           <P align=center>27</P></TD>     <TD vAlign=top width="28">           ]]></body>
<body><![CDATA[<P align=justify>23.5</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P align=center>SEX</P></TD>     <TD vAlign=top width="172">           <P align=center>Male</P></TD>     <TD vAlign=top width="31">           <P align=center>58</P></TD>     <TD vAlign=top width="28">           <P align=justify>50.4</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Female</P></TD>     <TD vAlign=top width="31">           <P align=center>57</P></TD>     <TD vAlign=top width="28">           <P align=justify>49.6</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P align=center>ANEMIA</P></TD>     <TD vAlign=top width="172">           ]]></body>
<body><![CDATA[<P align=center>Hb &lt; 11 (12 - 48 months)</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Hb &lt; 11.5 (&gt; 48 months)</P></TD>     <TD vAlign=top width="31">           <P align=center>79</P></TD>     <TD vAlign=top width="28">           <P align=justify>68.7</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P align=center>Iron deficiency anemia</P></TD>     <TD vAlign=top width="172">           <P align=center>Low Hb and</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           ]]></body>
<body><![CDATA[<P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Low MCV and/or</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Low TSI and/or</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           ]]></body>
<body><![CDATA[<P align=center>Low Ferritin and/or</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>High Transferrin receptor</P></TD>     <TD vAlign=top width="31">           <P align=center>59</P></TD>     <TD vAlign=top width="28">           <P align=justify>51.3</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P align=center>Iron nutritional status</P></TD>     <TD vAlign=top width="172">           <P align=center>MCV</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           ]]></body>
<body><![CDATA[<P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>&lt; 72 fl (12 – 47 months)</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>&lt; 75 fl (&gt; 48 months)</P></TD>     <TD vAlign=top width="31">           <P align=center>24</P></TD>     <TD vAlign=top width="28">           <P align=justify>20.9</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           ]]></body>
<body><![CDATA[<P align=center>TSI</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>&lt; 12%</P></TD>     <TD vAlign=top width="31">           <P align=center>48</P></TD>     <TD vAlign=top width="28">           <P align=justify>41.7</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Ferritin</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           ]]></body>
<body><![CDATA[<P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>&lt; 12 ng/ml</P></TD>     <TD vAlign=top width="31">           <P align=center>27</P></TD>     <TD vAlign=top width="28">           <P align=justify>23.5</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Transferrin receptor</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           ]]></body>
<body><![CDATA[<P align=center>&gt;28 nmol/ml</P></TD>     <TD vAlign=top width="31">           <P align=center>71</P></TD>     <TD vAlign=top width="28">           <P align=justify>61.7</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P align=center>Nutritional status determinedby anthropometry (Z Score of less than -2)</P></TD>     <TD vAlign=top width="172">           <P>&nbsp;</P></TD>     <TD vAlign=top width="31">           <P>&nbsp;</P></TD>     <TD vAlign=top width="28">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P align=center>&nbsp;</P></TD>   </center>     <TD vAlign=top width="172">           <P align=left>&nbsp;Deficient W/A,W/H or H/A</P></TD>       <center>     <TD vAlign=top width="31">           ]]></body>
<body><![CDATA[<P align=center>10</P></TD>     <TD vAlign=top width="28">           <P align=justify>8.7</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Deficient W/A</P></TD>     <TD vAlign=top width="31">           <P align=center>3</P></TD>     <TD vAlign=top width="28">           <P align=justify>2.6</P></TD></TR>   <TR>     <TD vAlign=top width="83">           <P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Deficient W/H</P></TD>     <TD vAlign=top width="31">           <P align=center>2</P></TD>     <TD vAlign=top width="28">           <P align=justify>1.7</P></TD></TR>   <TR>     <TD vAlign=top width="83">           ]]></body>
<body><![CDATA[<P>&nbsp;</P></TD>     <TD vAlign=top width="172">           <P align=center>Deficient H/A</P></TD>     <TD vAlign=top width="31">           <P align=center>5</P></TD>     <TD vAlign=top width="28">           <P align=justify>4.3</P></TD></TR></TBODY></TABLE>   </center> </div>     <P align=justify>The hematologic data showed 68.7% of the children to be anemic  (low Hb level), with at least one abnormal iron test (MCV, Transferrim  Saturation, Ferritin and Transferrim Receptor). These results indicate the  presence of Iron-Deficiency Anemia, which was observed in 51.3% of them. In  contrast to the model often used to explain iron-deficiency anemia, which points  out successive and consecutive depletion of iron stores (evaluated on the basis  of ferritin), followed by low iron available for erythropoiesis (evaluated on  the basis of MCV, transferrin receptor and TSI) and later on by hemoglobin, the  present study showed that among the 68.7% anemic children only 20.9%, 23.5% and  41.7% presented low MCV, ferritin and TSI, respectively. The transferrin  receptor proved to be a sensitive method for the detection of iron-deficient  children, with an observed 61.7% prevalence of values above the cut-off point,  confirming previous experience of our group with this parameter (24). The red  blood cell sickling test was negative in 100% of the children.</P>     <P align=justify> <A HREF="#Tab2">Table 2</A> summarizes the analysis of food intake by the 20 the  children studied. It can be seen that mean calorie intake was about ¾ of  recommended levels. In addition, the diet was found to contain high protein  levels, but low intake of proteins of high biological value. Iron and vitamin A  intake was adequate and vitamin C intake was 70.8% of the recommended levels.  Fibers were well below recommended levels. No tannins were considered to be  present in the diet over the two days studied.</P> <B> <A NAME="Tab2"></A>     <P align=center style="line-height: 100%">TABLE 2</P></B>     <P align=center style="line-height: 100%">Dietary nutrient intake of the 20 children and their adequacy in  relation to the RDA</P><FONT size=2> </FONT>     <div align="center">       <center> <TABLE border=1 cellPadding=4 cellSpacing=1 width=460>   <TBODY>   <TR>     <TD vAlign=top width="43%">           ]]></body>
<body><![CDATA[<P align=center><B>Nutrient</B></P></TD>     <TD vAlign=top width="18%"><B>           <P align=justify>Pontal</B></P></TD>     <TD vAlign=top width="16%"><B>           <P align=justify>RDA</B></P></TD>     <TD vAlign=top width="23%"><B>           <P align=justify>% Adequacy</B></P></TD></TR>   <TR>     <TD vAlign=top width="43%">           <P align=center>Energy (Kcal)</P></TD>     <TD vAlign=top width="18%">           <P align=center>995.7</P></TD>     <TD vAlign=top width="16%">           <P align=center>1300</P></TD>     <TD vAlign=top width="23%">           <P align=center>76.6%</P></TD></TR>   <TR>     <TD vAlign=top width="43%">           <P align=center>Proteins (g)</P></TD>     <TD vAlign=top width="18%">           <P align=center>39.8</P></TD>     <TD vAlign=top width="16%">           ]]></body>
<body><![CDATA[<P align=center>20</P></TD>     <TD vAlign=top width="23%">           <P align=center>199%</P></TD></TR>   <TR>     <TD vAlign=top width="43%">           <P align=center>Protein of high biological</P></TD>     <TD vAlign=top width="18%">           <P>&nbsp;</P></TD>     <TD vAlign=top width="16%">           <P>&nbsp;</P></TD>     <TD vAlign=top width="23%">           <P>&nbsp;</P></TD></TR>   <TR>     <TD vAlign=top width="43%">           <P align=center>value (%)</P></TD>     <TD vAlign=top width="18%">           <P align=center>36.5</P></TD>     <TD vAlign=top width="16%">           <P align=center>50</P></TD>     <TD vAlign=top width="23%">           <P align=center>70%</P></TD></TR>   <TR>     <TD vAlign=top width="43%">           ]]></body>
<body><![CDATA[<P align=center>Iron (mg)</P></TD>     <TD vAlign=top width="18%">           <P align=center>9.8</P></TD>     <TD vAlign=top width="16%">           <P align=center>10</P></TD>     <TD vAlign=top width="23%">           <P align=center>98%</P></TD></TR>   <TR>     <TD vAlign=top width="43%">           <P align=center>Vitamin C (mg)</P></TD>     <TD vAlign=top width="18%">           <P align=center>30.1</P></TD>     <TD vAlign=top width="16%">           <P align=center>42.5</P></TD>     <TD vAlign=top width="23%">           <P align=center>70.8%</P></TD></TR>   <TR>     <TD vAlign=top width="43%">           <P align=center>Vitamin A (IU)</P></TD>     <TD vAlign=top width="18%">           <P align=center>1168</P></TD>     <TD vAlign=top width="16%">           ]]></body>
<body><![CDATA[<P align=center>911</P></TD>     <TD vAlign=top width="23%">           <P align=center>128%</P></TD></TR>   <TR>     <TD vAlign=top width="43%">           <P align=center>Fibers (g)</P></TD>     <TD vAlign=top width="18%">           <P align=center>1.3</P></TD>     <TD vAlign=top width="16%">           <P align=center>9.9</P></TD>     <TD vAlign=top width="23%">           <P align=center>13%</P></TD></TR></TBODY></TABLE>   </center> </div>     <P align=justify>It is of interest to point out that the sample used for the  study of food intake was found to be similar to that of the population from  which it was derived in terms of the three variables studied, with the mean z  scores for weight/age, hemoglobin and MCV for the 115 children studied being  within the 95% confidence interval for the sample mean. Thus, it was concluded  that the evaluation performed on the sample of 20 children could be considered  representative of the food intake of the study group as a whole <A HREF="#Tab3">(Table 3).</P></A>     <P align=justify>The evaluation of diet considering RDA and correcting for the  Brazilian mean weight in relation to calorie intake, the nutrient intake of the  study population is around 75% of its requirements, an amount that could  represent a sufficient energy supply to promote adequate growth for most of the  children. Protein intake was practically double that proposed by the RDA, rich  in plant protein sources, especially rice and beans, and combined with small  amounts of meat and milk (25). The iron supply covering 98% of the requirements,  associated with a reasonable supply of factors which facilitate its absorption,  such as vitamin C and a low fiber and tannin sources, could also be considered  adequate. In addition, if we consider that the presence of low iron reserves  increases iron absorption from 15 to 35% (26), ferritin analysis showed that  only 23% of the children (ferritin &lt; 12ng/ml) benefited from this fact. The  low intake of meat in the diet may have contributed to the higher prevalence of  iron-deficiency anemia in these children in two ways: low iron supply and  reduced presence of foods of animal origin. Indeed, results obtained in dietary  surveys, even when the latter are carried out according to a rigorous  methodology as in our case, cannot always be used as single parameter for the  evaluation of nutrition in pediatric populations. On the other hand, they may  offer important information on the risk of specific nutritional deficiencies,  such as anemia (27).</P><B> <A NAME="Tab3"></A>     <P align=center style="line-height: 100%">TABLE 3</P></B>     <P align=center style="line-height: 100%">Z score for weight for age, hemoglobin values and MCV values  obtained for 2 dietary intake samples of the population of the 2 institutions  studied.</P> <FONT size=2> </FONT> <table border="1" width="578">   <tr>     <td width="568">           ]]></body>
<body><![CDATA[<P align=justify style="line-height: 100%; margin-right: -2; margin-top: -8">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</P>           <P align=justify style="line-height: 100%; margin-right: -2; margin-top: -8">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;       Groups&nbsp;&nbsp; Mean Z score for weight for age&nbsp;&nbsp;&nbsp; Mean       hemoglobin levels&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; MCV&nbsp;</P>    <P align=justify style="line-height: 100%; margin-right: -2; margin-top: -8">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;       <FONT size=2>Sample&nbsp; </FONT><FONT size=2>Population:</FONT>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;       <FONT size=2>Sample</FONT>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <FONT size=2>Population&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;       Sample&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </FONT><FONT size=2>Population:</FONT></P><FONT size=2>           <P align=left style="line-height: 100%; margin-right: -2; margin-top: -8">&nbsp;</FONT><font size="1">Mean       ± SD&nbsp;&nbsp; Confidence&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;       Mean ± SD&nbsp;&nbsp; Mean ± SD&nbsp; Confidence&nbsp;&nbsp;&nbsp;&nbsp;       Mean ± SD&nbsp;&nbsp;&nbsp; Mean ± SD&nbsp;&nbsp;&nbsp; Confidence&nbsp;       Mean ± SD</font></P><FONT size=2>           <P align=justify style="line-height: 100%; margin-right: -2; margin-top: -8">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;       interval</FONT>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;       <FONT size=2>interval&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;       interval</FONT></P></td>   </tr>   <tr>     <td width="568">&nbsp;           <P align=justify style="margin-top: -11"><font size="1">12 to 36&nbsp;</font></P>    <P align=justify style="margin-top: -11"><font size="1">&nbsp;months&nbsp;       0.12 ± 0.7&nbsp;&nbsp; -0.42 to 0.67&nbsp; -0.17 ± 1.05&nbsp;&nbsp;&nbsp;       10.1 ± 1.7&nbsp; 8.78 to 11.31&nbsp;&nbsp;&nbsp; 10.2 ± 1.4&nbsp;&nbsp;&nbsp;       70.9 ± 9.8&nbsp;&nbsp;&nbsp; 63.9 to 77.9&nbsp; 71.3 ± 7.3</font></P><FONT size=1>           <P align=justify style="margin-top: -11">37 to 72</P>           <P align=justify style="margin-top: -11">months</FONT> <font size="1">-0.26       ± 1.3&nbsp;&nbsp; -1.21 to 0.69&nbsp; -0.22 ± 1.46&nbsp;&nbsp;&nbsp;       10.7 ± 1.6&nbsp;&nbsp; 9.55 to 11.80&nbsp;&nbsp;&nbsp; 11.0 ± 1.0&nbsp;&nbsp;&nbsp;       75.8 ± 8.2&nbsp;&nbsp; 69.9 to 81.7&nbsp;&nbsp; 78.8 ± 5.4</font></P></td>   </tr> </table>     <P align=justify>Despite efforts of international organizations and the  proposals for drastic reduction of iron deficiency anemia in the world by the  year 2000 (7), small advances have been made in the development and  implementation of strategies that will reach this aim. Indeed, the fight against  iron-deficiency anemia should be linked to overall nutritional interventions as  well as specific actions. that certainly are not limited to therapeutical  treatment of clinical disease (28).</P>     ]]></body>
<body><![CDATA[<P align=justify>The present study including clinical, hematological and food  intake data shows that the available large food distribution program to  preschool and school feeding programs in the State of São Paulo is apparently  able to guarantee desirable growth of our low socioeconomic children but the  prevalence of iron deficiency is high and sometimes increasing (4, 5, 6). Our  findings show this peculiar situation of the children studied: the group of  children has an adequate physical development with a high prevalence of anemia,  in spite of a reasonable good diet.</P>     <P align=justify>The explanation for the presence of iron deficiency and iron  deficiency anemia in regions with a high prevalence of severe undernutrition is  certainly linked to an all over deficient diet, including energy, iron and other  macro and micro nutrients. This situation is found in the Northeast part of  Brazil, the poorest part of our country, where it has been reported a high  prevalence of 48.3% energy protein malnutrition along with the presence of 54%  of iron deficiency anemia. A similar situation is also found in Southern Asia  (51% of iron deficiency anemia and 51% of weight for age deficiency) and in  other parts of the world, such as Southeast Asia or Pakistan (1, 7, 8).</P>     <P align=justify>The situation found in our children of the Southern part of  Brazil, where the socioeconomic situation is the best of our country, is  different on the way that the amount of protein energy undernutrition is quite  low and anemia is quite high.</P>     <P align=justify>These findings are important for the implementation and follow  up of nutritional programs to fight children malnutrition. They should be  understood not only as cases of growth failure and/or deficits, criteria  normally used for the users screening of these feeding programs in Brazil. Other  nutrients, and in our cases, the supply of iron is a <I>si ne qua non  </I>element. Walker (29), in a recent review on this topic stated that  supplementation with medications or food fortification are always needed to  control iron deficiency, especially in poor countries. An interesting study  conducted in England also shows that not even the most rigorous dietary  education can prevent iron deficiency in children, it needs extra supplies of  iron for this (30). Considering the severe damage to the physical and mental  development of children that caused by iron deficiency and iron anemia, children  nutrition policies and feeding programs should definitely be revised to include  not only energy and protein as has been used in several countries. Iron is  sometimes so or more important than protein/energy. This component will allow  the children to grow and gain weight, but iron is a key factor for them to  develop at their full potential.</P><B>     <P align=center>REFERENCES</P> <DIR></B>     <!-- ref --><P align=justify>1. UNICEF. The state of World Child Health 1998. Available  from: URL: <U><FONT color=#0000ff>http://www.unicef&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=376291&pid=S0004-0622200100030000300001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><P align=justify>2. DATASUS. Indicadores básicos de morbidade e fator de risco  do Brasil 1998. 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