<?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>0102-311X</journal-id>
<journal-title><![CDATA[Cadernos de Saúde Pública]]></journal-title>
<abbrev-journal-title><![CDATA[Cad. Saúde Pública]]></abbrev-journal-title>
<issn>0102-311X</issn>
<publisher>
<publisher-name><![CDATA[Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0102-311X2012000800012</article-id>
<article-id pub-id-type="doi">10.1590/S0102-311X2012000800012</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Longitudinal assessment of mercury exposure in schoolchildren in an urban area of the Brazilian Amazon]]></article-title>
<article-title xml:lang="pt"><![CDATA[Avaliação longitudinal da exposição ao mercúrio em crianças de uma área urbana na Amazônia brasileira]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Dutra]]></surname>
<given-names><![CDATA[Marilene Danieli Simões]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jesus]]></surname>
<given-names><![CDATA[Iracina Maura de]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[Elisabeth C. de Oliveira]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lima]]></surname>
<given-names><![CDATA[Marcelo de Oliveira]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Medeiros]]></surname>
<given-names><![CDATA[Renato Lopes Fernandes de]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cavadas]]></surname>
<given-names><![CDATA[Marcia]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Luiz]]></surname>
<given-names><![CDATA[Ronir Raggio]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Câmara]]></surname>
<given-names><![CDATA[Volney de Magalhães]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidade Federal do Rio de Janeiro Instituto de Estudos em Saúde Coletiva ]]></institution>
<addr-line><![CDATA[Rio de Janeiro ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Instituto Evandro Chagas  ]]></institution>
<addr-line><![CDATA[Ananindeua ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Universidade Federal do Rio de Janeiro Faculdade de Medicina ]]></institution>
<addr-line><![CDATA[Rio de Janeiro ]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2012</year>
</pub-date>
<volume>28</volume>
<numero>8</numero>
<fpage>1539</fpage>
<lpage>1545</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielosp.org/scielo.php?script=sci_arttext&amp;pid=S0102-311X2012000800012&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielosp.org/scielo.php?script=sci_abstract&amp;pid=S0102-311X2012000800012&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielosp.org/scielo.php?script=sci_pdf&amp;pid=S0102-311X2012000800012&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[This study was a longitudinal assessment of mercury exposure in schoolchildren in an urban area of the Brazilian Amazon. The study population consisted of 90 children whose exposure levels were assessed by testing mercury levels in the umbilical cord blood and mothers' blood samples in 2000-2001, and in the children's hair and blood samples. The study also used a questionnaire on demographic and socioeconomic data, fish consumption, and self-reported disease history. Mean mercury level in hair in 2010 was approximately 1µg/g, ranging up to 8.22µg/g, similar to 2004 and 2006. These figures can be explained by low fish consumption. Mean blood mercury levels at birth exceeded 10µg/L, ranging up to nearly 60µg/L, which indicates mercury transfer across the placenta. There was a significant increase in blood mercury from 2004 to 2006 (p < 0.001), suggesting exposure through air pollution. The main exposure to mercury was during pregnancy.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[O objetivo deste estudo foi realizar avaliação longitudinal da exposição de crianças de uma área urbana da Amazônia brasileira ao mercúrio (Hg). A população foi composta por 90 crianças, cuja exposição foi avaliada desde o nascimento por meio das análises dos teores de Hg no sangue do cordão umbilical e no sangue das mães em 2000/2001, e em amostras de cabelo e sangue das crianças. Os procedimentos incluíram também um questionário com informações demográficas, socioeconômicas, sobre consumo de peixes e morbidade referida. A média dos teores de Hg no cabelo em 2010 foi próxima a 1µg/g e sua amplitude 8,22µg/g, semelhantes aos anos 2004 e 2006, podendo ser explicada pela baixa ingestão de peixes. A média dos teores de Hg no sangue das crianças ao nascer ultrapassou 10µg/L e sua amplitude atingiu quase 60µg/L, indicando transferência do Hg através da barreira placentária. Ocorreu aumento significativo dos teores de Hg no sangue entre 2004 e 2006 (p < 0,001), sugerindo a possibilidade de exposição atmosférica ao Hg. O principal período de exposição ao Hg ocorreu durante a gestação.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Mercury]]></kwd>
<kwd lng="en"><![CDATA[Poisoning]]></kwd>
<kwd lng="en"><![CDATA[Environmental Exposure]]></kwd>
<kwd lng="en"><![CDATA[Child]]></kwd>
<kwd lng="pt"><![CDATA[Mercúrio]]></kwd>
<kwd lng="pt"><![CDATA[Envenenamento]]></kwd>
<kwd lng="pt"><![CDATA[Exposição Ambiental]]></kwd>
<kwd lng="pt"><![CDATA[Criança]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="right"><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>ARTICLE</b>    ARTIGO</font></p>     <p>&nbsp;</p>     <p><a name="top"></a><font face="Verdana, Arial, Helvetica, sans-serif" size="4"><b>Longitudinal    assessment of mercury exposure in schoolchildren in an urban area of the Brazilian    Amazon</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Avalia&ccedil;&atilde;o    longitudinal da exposi&ccedil;&atilde;o ao merc&uacute;rio em crian&ccedil;as    de uma &aacute;rea urbana na Amaz&ocirc;nia brasileira</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Marilene Danieli    Sim&otilde;es Dutra<sup>I</sup>; Iracina Maura de Jesus<sup>II</sup>; Elisabeth    C. de Oliveira Santos<sup>II</sup>; Marcelo de Oliveira Lima<sup>II</sup>; Renato    Lopes Fernandes de Medeiros<sup>II</sup>; Marcia Cavadas<sup>III</sup>; Ronir    Raggio Luiz<sup>I</sup>; Volney de Magalh&atilde;es C&acirc;mara<sup>I</sup></b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><sup>I</sup>Instituto    de Estudos em Sa&uacute;de Coletiva, Universidade Federal do Rio de Janeiro,    Rio de Janeiro, Brasil    <br>   <sup>II</sup>Instituto Evandro Chagas, Ananindeua, Brasil    ]]></body>
<body><![CDATA[<br>   <sup>III</sup>Faculdade de Medicina, Universidade Federal do Rio de Janeiro,    Rio de Janeiro, Brasil</font></p>     <p><a href="#back"><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Correspondence</font></a></p>     <p>&nbsp;</p>     <p>&nbsp;</p> <hr size="1" noshade>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>ABSTRACT</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This study was    a longitudinal assessment of mercury exposure in schoolchildren in an urban    area of the Brazilian Amazon. The study population consisted of 90 children    whose exposure levels were assessed by testing mercury levels in the umbilical    cord blood and mothers' blood samples in 2000-2001, and in the children's hair    and blood samples. The study also used a questionnaire on demographic and socioeconomic    data, fish consumption, and self-reported disease history. Mean mercury level    in hair in 2010 was approximately 1&#181;g/g, ranging up to 8.22&#181;g/g, similar    to 2004 and 2006. These figures can be explained by low fish consumption. Mean    blood mercury levels at birth exceeded 10&#181;g/L, ranging up to nearly 60&#181;g/L,    which indicates mercury transfer across the placenta. There was a significant    increase in blood mercury from 2004 to 2006 (p &lt; 0.001), suggesting exposure    through air pollution. The main exposure to mercury was during pregnancy.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Mercury; Poisoning;    Environmental Exposure; Child</font></p> <hr size="1" noshade>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>RESUMO</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">O objetivo deste    estudo foi realizar avalia&ccedil;&atilde;o longitudinal da exposi&ccedil;&atilde;o    de crian&ccedil;as de uma &aacute;rea urbana da Amaz&ocirc;nia brasileira ao    merc&uacute;rio (Hg). A popula&ccedil;&atilde;o foi composta por 90 crian&ccedil;as,    cuja exposi&ccedil;&atilde;o foi avaliada desde o nascimento por meio das an&aacute;lises    dos teores de Hg no sangue do cord&atilde;o umbilical e no sangue das m&atilde;es    em 2000/2001, e em amostras de cabelo e sangue das crian&ccedil;as. Os procedimentos    inclu&iacute;ram tamb&eacute;m um question&aacute;rio com informa&ccedil;&otilde;es    demogr&aacute;ficas, socioecon&ocirc;micas, sobre consumo de peixes e morbidade    referida. A m&eacute;dia dos teores de Hg no cabelo em 2010 foi pr&oacute;xima    a 1&#181;g/g e sua amplitude 8,22&#181;g/g, semelhantes aos anos 2004 e 2006,    podendo ser explicada pela baixa ingest&atilde;o de peixes. A m&eacute;dia dos    teores de Hg no sangue das crian&ccedil;as ao nascer ultrapassou 10&#181;g/L    e sua amplitude atingiu quase 60&#181;g/L, indicando transfer&ecirc;ncia do    Hg atrav&eacute;s da barreira placent&aacute;ria. Ocorreu aumento significativo    dos teores de Hg no sangue entre 2004 e 2006 (p &lt; 0,001), sugerindo a possibilidade    de exposi&ccedil;&atilde;o atmosf&eacute;rica ao Hg. O principal per&iacute;odo    de exposi&ccedil;&atilde;o ao Hg ocorreu durante a gesta&ccedil;&atilde;o.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Merc&uacute;rio;    Envenenamento; Exposi&ccedil;&atilde;o Ambiental; Crian&ccedil;a</font></p> <hr size="1" noshade>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Introduction</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Epidemiological    studies in the Brazilian Amazon should consider that both working and non-working    individuals may be exposed to metallic mercury (Hg) emissions caused by mining    operations that use mercury as an amalgam in gold extraction, during the resmelting    of gold for sale in shops usually located in urban areas, and from emissions    resulting from the burning and destruction of forests <sup>1</sup>.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Another more toxic    form of exposure involves the absorption of methylmercury (MeHg) present in    fish, a staple in the diet of riverine and indigenous communities, making these    population groups more vulnerable <sup>1,2</sup>. Depending on specific environmental    conditions like the presence of certain aquatic microorganisms, metallic mercury    accumulated in the environment can be transformed into MeHg and biomagnify in    fish along the biological chain <sup>3</sup>.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Children can be    subject to mercury exposure through: prenatal transfer across the placenta;    breastfeeding, by ingesting breast milk containing mercury; and a diet rich    in fish <sup>1,3,4,5</sup>. Recent studies have also raised the possibility    of mercury exposure through vaccines <sup>6</sup>. According to a study by the    U.S. Agency for Toxic Substances and Disease Registry <sup>7</sup>, as compared    to adults, children are more exposed and susceptible to situations involving    health risks due to: their rapid growth and development; higher levels of gastrointestinal,    transdermal, and respiratory absorption based on body weight for the same concentrations    of toxic substances; the incomplete development of their detoxifying mechanisms;    and their immature blood-brain barrier <sup>8,9</sup>.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Mercury can have    systemic effects, reaching nearly all of the body's organs and systems. The    effects are predominantly on the nervous system, causing, among others, alterations    in the child's development; decreased motor coordination; alterations in hearing,    speech, gait, and balance; tremors; decreased visual field; and blindness. Mercury    can also have mutagenic and teratogenic effects <sup>9,10,11,12</sup>.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Children's exposure    to methylmercury has been proven by various studies, generally cross-sectional,    conducted in small riverine communities in the Amazon <sup>1,2</sup>. As a contribution    to future research on this theme, the aim of the current study was to conduct    a longitudinal evaluation of mercury exposure in schoolchildren in an urban    area of the Amazon, specifically Itaituba, a municipality (county) in the State    of Par&aacute; which is the largest gold producer in Brazil, and whose socioeconomic    and nutritional profile differs from that of the rural riverine communities    <sup>2,13</sup>.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Methods</b></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The gold-mining    boom in the Brazilian Amazon lasted until the early 1990s, but the city of Itaituba,    situated in the southwest region of the State of Par&aacute;, is still the main    gold marketing center in Brazil <sup>13</sup>. According to estimates by Souza    et al. <sup>13</sup>, based on data from the Central Bank of Brazil, from the    1990s to 2004, 3,585kg of mercury used in gold production in Itaituba were launched    into the atmosphere.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The study population    included children from the urban area of the municipality of Itaituba with prior    information on mercury levels at birth (cord blood samples from 2000 and 2001)    and analysis of mercury levels in hair samples taken later from the same children    at 8 to 10 years of age in 2010. Hair and blood mercury levels were also analyzed    in these children in 2004 (n = 90) and 2006 (n = 47) in samples stored at the    Evandro Chagas Institute, thus providing a study with repeated measurements    over time. No mercury results are available for 43 children in 2006, since they    were not visited that year due to changes of address or because they were not    present when the field research team visited.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The sample (n =    90) was based on the existence of a study <sup>2</sup> at the Evandro Chagas    Institute (Instituto Evandro Chagas) with 1,510 children born in 2000 and 2001    at the maternity hospitals in Itaituba. Of these, a group of 239 children from    the urban and rural areas were monitored from birth until 4 and 6 years of age.    Losses to follow-up from birth to 6 years can be explained by the fact that    the municipality of Itaituba has the largest infrastructure in the Tapaj&oacute;s    Basin, offering better birthing conditions for women as compared to other municipalities    in the region, so that the mothers return to their home towns and villages after    childbirth (in addition to changes of address). Later, based on this list of    239 children that were followed and which included those residing in urban and    rural areas, the study selected only those that studied and lived in the city    limits of Itaituba, leading to the identification of the 90 children that participated    in this study with the help of the Itaituba Municipal Department of Education    (Secretaria Municipal de Educa&ccedil;&atilde;o de Itaituba) for children not    located in 2006.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">In 2010, the procedures    included the use of a questionnaire on demographic and socioeconomic data, fish    consumption, and self-reported disease history, similar to that used by the    institution since 2000. Blood and hair samples were taken by the team from the    Evandro Chagas Institute according to international procedures. Determination    of total mercury in blood and hair samples used a cold vapor atomic absorption    spectrometer (CV-AAS), model Automatic Mercury Analyzer HG-201 (Sanso Seisakusho    Corp., Tokyo, Japan) and quality control used analysis of certified hair samples    (IAEA-086), with analytical recovery of 99.65% (n = 27), and blood samples (Whole    Blood II), with analytical recovery of 98.14% (n = 9).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">In the exploratory    data analysis, descriptive statistics were calculated for mercury levels and    the appropriate graphs and tables were constructed. The Wilcoxon test was used    to check variation in mercury levels from birth to 4 years and from 4 to 6 years.    The McNemar chi-square test was used to test the proportions of elevated mercury    in the blood of newborns, children, and mothers, using the cutoff for blood    mercury recommended by the World Health Organization (<u>&gt;</u> 8&#181;g/L)    for unexposed individuals <sup>9</sup>. For mercury levels in hair, the study    used the reference value of 2.0&#181;g/g for unexposed individuals, also recommended    by the WHO <sup>9</sup>.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">In compliance with    the ethical procedures of the <i>Declaration of Helsinki</i> and <i>Ruling 196/96</i>    of the Brazilian National Health Council (Conselho Nacional de Sa&uacute;de)    on Research Involving Humans, the project was approved by the Institutional    Review Board (case 105/2009). Study participants and their parents or guardians    were informed verbally and by means of a written document concerning the study    objectives and procedures, and the parents or guardians signed a free and informed    consent form before the study began.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Results</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The study sample    of 90 children showed an even sex distribution, with 48 boys and 42 girls. As    for age, the majority were 8 years old (69%), and only one child was 10. All    lived in Itaituba, and 65 (70%) of the families had residential or mobile telephones.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">According to the    disease history reported in 2010, 67 (74.4%) of the children had a lifetime    history of one to three diseases, the most common being chicken pox (17), dengue    (14), intestinal infections (13), and pneumonia (12). A separate question on    illnesses in the previous month showed that 48 (53.3%) had experienced one or    more disease events, mainly influenza (20), fever (13), and headache (6).</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#t1">Table    1</a> shows figures on the children's fish consumption. Only 5 children showed    zero fish consumption in the previous year, while consumption once a week was    reported by 44 children and twice a week by an additional 27. In 2004 and 2006,    the majority of the children consumed fish a maximum of twice a week. Consumption    of fish meal was reported for 21 children in 2010, but only two children consumed    fish meal more than once a month. This dietary pattern was similar for both    years (2004 and 2006).</font></p>     <p><a name="t1"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/csp/v28n8/12t01.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Mean mercury level    in hair in 2010 was close to 1&#181;g/g, ranging up to 8.22&#181;g/g, similar    to previous years (<a href="#t1">Table 1</a>).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The highest blood    mercury level was at birth (<a href="#t2">Table 2</a>), using cord blood and    exceeding 8&#181;g/L for both the mean and median, ranging up to nearly 60&#181;g/L.    There was a significant decrease in 2004 (p &lt; 0.001, Wilcoxon test) and a    subsequent increase, also significant, in 2006 (p &lt; 0.001, Wilcoxon test).    At birth, a significant correlation was observed (Spearman correlation coefficient    = 0.315; p = 0.002) between cord blood and maternal venous blood levels.</font></p>     <p><a name="t2"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/csp/v28n8/12t02.jpg"></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">As shown in <a href="#f1">Figure    1</a>, more than 50% of the children (median line) were "positive" for blood    mercury levels above the WHO limit for unexposed individuals <sup>9</sup> (<u>&gt;</u>    8&#181;g/L), decreasing to fewer than 25% in 2006. <a href="#t3">Table 3</a>    compares the proportion of mercury levels greater than or equal to 8&#181;g/L    in the blood of mothers and their newborns at birth. The proportion of levels    above the cutoff in mothers was 31.1%, statistically lower (p &lt; 0.001, McNemar    chi-square) than the proportion in the newborns (63.3%). Importantly, of the    28 positive results in mothers, nearly all (25) were also positive in the children,    and of the 62 negative results in mothers, 32 converted to positive in the children.</font></p>     <p><a name="f1"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/csp/v28n8/12f01.jpg"></p>     <p>&nbsp;</p>     <p><a name="t3"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/csp/v28n8/12t03.jpg"></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Discussion</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This was an urban    population sample, thus displaying different socioeconomic conditions from the    riverine communities in the same municipality. Factors emphasizing this difference    included the fact that 70% of the children's families had telephones in 2010,    in contrast to the riverine communities, which usually lack even basic electricity    <sup>2,14</sup>. Using the criteria suggested by Mahaffey <sup>15</sup>, another    striking difference with the riverine communities was the low consumption of    fish and fish meal in this urban sample. Due to this low weekly fish consumption,    it was unnecessary to analyze other information obtained from the questionnaire    such as total weekly fish consumption (weekly consumption multiplied by the    number of daily servings of fish), types or species of fish consumed, and approximate    amount in grams.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The unexpected    result of mercury level in hair, below the WHO reference of 2.0&#181;g/g for    unexposed individuals <sup>7</sup> , may be a consequence of the low fish consumption,    showing that exposure to methylmercury after birth was negligible. In exposed    communities and even in populations not directly impacted by gold-mining areas    in the State of Par&aacute;, Santos et al. <sup>14</sup> found mercury levels    in hair that exceeded what are considered safe limits for unexposed populations,    such as 8.58&#181;g/g in 203 individuals from Caxiuan&atilde;, a national conservation    area.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The high mercury    levels in cord blood samples indicate that the most significant exposure to    mercury occurred during pregnancy. According to some authors, cord blood mercury    levels reflect exposure during the first trimester of pregnancy and can decrease    tenfold by the end of pregnancy and after birth <sup>16,17</sup>. In this sense,    a decrease in these indicators would be expected during the first year of life,    especially after the conclusion of breastfeeding.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">In an analysis    of total mercury levels in cord blood and maternal blood samples in 28 international    studies, Murata et al. <sup>18</sup> cited levels ranging from 0.96&#181;g/L    in 1,109 individuals in Canada in a study by Rhainds et al. <sup>19</sup> to    22.35&#181;g/L reported by Grandjean et al. <sup>20</sup> in 996 subjects in    the Faroe Islands. Taking the previously cited values as the reference, or 8.0&#181;g/L    for total blood mercury in unexposed individuals or up to 5.8&#181;g/L as suggested    by Mahaffey et al. <sup>21</sup> , the cord blood levels detected in the current    study were high.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Although the mercury    levels in the children's venous blood were close to the reference values used    in the international literature (8.0&#181;g/L and 5.8&#181;g/L), the increase    in the blood mercury levels from 2004 to 2006, along with the marginally significant    results for hair mercury, suggest the possibility of exposure to metallic mercury    in the city of Itaituba. A plausible explanation would be mercury emissions    from gold shops.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">According to a    study by the National Department of Mine Production in the State of Par&aacute;    (Departamento Nacional de Produ&ccedil;&atilde;o Mineral do Estado do Par&aacute;)    and the Foundation of the Federal University in Rond&ocirc;nia (Funda&ccedil;&atilde;o    Universidade Federal de Rond&ocirc;nia), from 2002 to 2006 <sup>22</sup>, gold    resmelting in 17 shops caused indoor and outdoor air pollution with mercury.    Among others, mercury levels were analyzed in 30 soil samples and 68 dust samples    collected from the streets around the gold shops. In 2002, these shops produced    an average of 18.7kg of gold per month. Mercury levels varied from 71 to 1,067&#181;g.kg<sup>-1</sup>    in the soil samples and from 59 to 21,943&#181;g.kg<sup>-1</sup> in the dust    samples. The authors concluded that there was air pollution from mercury, especially    in areas close to these gold shops <sup>22</sup>.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The pollution increased    over time, and in 2006 the mercury levels in the soil varied from 40 to 1,390&#181;g.kg<sup>-1</sup>,    while the dust samples ranged from 25 to 60,778&#181;g.kg<sup>-1</sup> <sup>22</sup>.    The authors also identified an increase in gold production, and showed that    the areas with the highest mercury levels were located close to the gold shops,    decreasing in proportion to the distance from these sources.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">A similar result,    corroborating the possibility of exposure from the gold shops, was obtained    in Pocon&eacute;, Mato Grosso State, in a study <sup>23</sup> of mercury concentrations    in dust samples from houses up to 200 meters from gold shops, showing levels    up to 21.29ppm, while 10% of the 158 individuals without occupational exposure    living in these homes showed urine mercury levels above the WHO references,    reaching 102.40&#181;g/L <sup>23</sup>.</font></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Conclusion</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This longitudinal    evaluation of mercury exposure in children in the urban area of Itaituba from    2000 to 2010 indicates that the main exposure to the metal was prenatal. Mercury    levels in the hair of these children did not exceed the reference values for    unexposed individuals, while there was an increase in exposure to metallic mercury,    probably from emissions by local gold shops. Health teams from the Brazilian    Unified National Health System (SUS) should thus conduct joint interventions    with the appropriate environmental agencies, besides special measures for more    exposed individuals, particularly children and childbearing-age women.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">These results also    demonstrate the usefulness of assessing mercury in different types of biological    samples in order to elucidate human exposure. Epidemiological studies should    prioritize blood samples in urban areas with gold shops, as in Itaituba.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Contributors</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">M. D. S. Dutra,    I. M. Jesus, E. C. O. Santos, M. O. Lima, R. L. F. Medeiros, M. Cavadas, R.    R. Luiz, and V. M. C&acirc;mara collaborated in all stages of the study.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Acknowledgments</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The authors wish    to thank the CNPq and Brazilian Ministry of Health.</font></p>     <p>&nbsp;</p>     ]]></body>
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<body><![CDATA[<br>   </b> M. D. S. Dutra    <br>   Instituto de Estudos em Sa&uacute;de Coletiva    <br>   Universidade Federal do Rio de Janeiro    <br>   Rua Marino da Costa 143, apto. 304    <br>   Rio de Janeiro, RJ 21940-210, Brasil    <br>   <a href="mailto:lenadutra@uol.com.br">lenadutra@uol.com.br</a></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Submitted on 16/May/2011    <br>   Final version resubmitted on 07/Dec/2011    <br>   Approved on 19/Mar/2012</font></p>      ]]></body><back>
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