<?xml version='1.0'?>
<!DOCTYPE art SYSTEM 'http://www.biomedcentral.com/xml/article.dtd'>
<art><ui>1475-2891-10-39</ui><ji>1475-2891</ji><fm>
<dochead>Research</dochead>
<bibl>
<title>
<p>Antioxidant intake among Brazilian adults - The Brazilian Osteoporosis Study (BRAZOS): a cross-sectional study</p>
</title>
<aug>
<au ca="yes" id="A1"><snm>Medeiros Pinheiro</snm><fnm>Marcelo</fnm><insr iid="I1"/><email>mpinheiro@uol.com.br</email></au>
<au id="A2"><snm>Ciconelli</snm><mnm>Mesquita</mnm><fnm>Rozana</fnm><insr iid="I2"/><email>rozana.ciconelli@fleury.com.br</email></au>
<au id="A3"><snm>Chaves</snm><mnm>Villa&#231;a</mnm><fnm>Gabriela</fnm><insr iid="I3"/><email>allez@uol.com.br</email></au>
<au id="A4"><snm>Aquino</snm><fnm>Luana</fnm><insr iid="I3"/><email>aquil@hotmail.com</email></au>
<au id="A5"><snm>Juzwiak</snm><mnm>Ridel</mnm><fnm>Claudia</fnm><insr iid="I4"/><email>c.juzwiak@uol.com.br</email></au>
<au id="A6"><snm>de Souza Genaro</snm><fnm>Patr&#237;cia</fnm><insr iid="I5"/><email>psgenaro@gmail.com</email></au>
<au id="A7"><snm>Ferraz</snm><mnm>Bosi</mnm><fnm>Marcos</fnm><insr iid="I2"/><email>marcos.ferraz@fleury.com.br</email></au>
</aug>
<insg>
<ins id="I1"><p>Rheumatology Division, Federal University of Sao Paulo/ Paulista School of Medicine (Unifesp/ EPM), Brazil</p></ins>
<ins id="I2"><p>Paulista Center for Health Economics, Unifesp/ EPM, Brazil</p></ins>
<ins id="I3"><p>Micronutrient Research Center, Josu&#233; de Castro Nutrition Institute, Universidade Federal do Rio de Janeiro, Brazil</p></ins>
<ins id="I4"><p>Department of Health, Education and Society, Nutrition Course, Unifesp/Baixada Santista Campus, Brazil</p></ins>
<ins id="I5"><p>Rheumatology Division, Federal University of Sao Paulo, Unifesp/ EPM, Brazil</p></ins>
</insg>
<source>Nutrition Journal</source>
<issn>1475-2891</issn>
<pubdate>2011</pubdate>
<volume>10</volume>
<issue>1</issue>
<fpage>39</fpage>
<url>http://www.nutritionj.com/content/10/1/39</url>
<xrefbib><pubidlist><pubid idtype="doi">10.1186/1475-2891-10-39</pubid><pubid idtype="pmpid">21513578</pubid></pubidlist></xrefbib>
</bibl>
<history><rec><date><day>29</day><month>10</month><year>2010</year></date></rec><acc><date><day>25</day><month>4</month><year>2011</year></date></acc><pub><date><day>25</day><month>4</month><year>2011</year></date></pub></history>
<cpyrt><year>2011</year><collab>de Medeiros Pinheiro et al; licensee BioMed Central Ltd.</collab><note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note></cpyrt>
<kwdg>
<kwd>nutritional intake</kwd>
<kwd>dietary recall</kwd>
<kwd>micronutrients</kwd>
<kwd>antioxidant</kwd>
<kwd>Brazilian population</kwd>
<kwd>Public Health</kwd>
</kwdg>
<abs>
<sec>
<st>
<p>Abstract</p>
</st>
<sec>
<st>
<p>Background</p>
</st>
<p>Antioxidant nutrient intake and the lesser formation of free radicals seem to contribute to chronic diseases. The aim of the present study was to evaluate the intake profile of the main dietary antioxidants in a representative sample of the adult Brazilian population and discuss the main consequences of a low intake of these micronutrients on overall health.</p>
</sec>
<sec>
<st>
<p>Methods</p>
</st>
<p>The sample comprised 2344 individuals aged 40 years or older from 150 cities and was based on a probabilistic sample from official data. The research was conducted through in-home interviews administered by a team trained for this purpose. Dietary intake information was obtained through 24-h recall. The Nutrition Data System for Research software program was used to analyze data on the intake of vitamins A, C and E, selenium and zinc, which was compared to Dietary Reference Intakes (DRIs). Differences in intake according to sex, anthropometrics, socioeconomic status and region were also evaluated. The SPSS statistical package (version 13) was used for the statistical analysis. P-values &lt; 0.05 were considered significant.</p>
</sec>
<sec>
<st>
<p>Results</p>
</st>
<p>Higher proportions of low intake in relation to recommended values were found for vitamin E (99.7%), vitamin A (92.4%) and vitamin C (85.1%) in both genders. Intake variations were found between different regions, which may reflect cultural habits.</p>
</sec>
<sec>
<st>
<p>Conclusion</p>
</st>
<p>These results should lead to the development of public health policies that encourage educational strategies for improving the intake of micronutrients, which are essential to overall health and prevention of non-communicable diseases.</p>
</sec>
</sec>
</abs>
</fm><bdy>
<sec>
<st>
<p>Introduction</p>
</st>
<p>In the last 50 years, Brazil has gone through changes in eating habits, with a greater intake of processed foods, meat, oil and vegetable fat as well as a low consumption of fruit, vegetables and cereals <abbrgrp>
<abbr bid="B1">1</abbr>
<abbr bid="B2">2</abbr>
<abbr bid="B3">3</abbr>
</abbrgrp>. These aspects, together with a sedentary lifestyle, have contributed toward a greater prevalence of obesity and other non-communicable chronic diseases <abbrgrp>
<abbr bid="B4">4</abbr>
</abbrgrp> as well as higher disability and mortality rates <abbrgrp>
<abbr bid="B5">5</abbr>
</abbrgrp>, especially those related to cardiovascular disease <abbrgrp>
<abbr bid="B4">4</abbr>
<abbr bid="B5">5</abbr>
<abbr bid="B6">6</abbr>
</abbrgrp>.</p>
<p>Previous national data demonstrate that only 2 to 3% of total food intake corresponds to fruit, legumes and vegetables <abbrgrp>
<abbr bid="B2">2</abbr>
</abbrgrp>, which are important sources of nutrients with antioxidant functions. These percentages correspond to approximately one third of the internationally recommended intake for the prevention of non-communicable chronic diseases <abbrgrp>
<abbr bid="B7">7</abbr>
<abbr bid="B9">9</abbr>
<abbr bid="B11">11</abbr>
<abbr bid="B12">12</abbr>
</abbrgrp>.</p>
<p>Antioxidants are substances that, at low concentrations, retard or minimize the oxidation of oxidable substrates <abbrgrp>
<abbr bid="B13">13</abbr>
</abbrgrp>. Among the non-enzymatic antioxidant systems responsible for lesser cellular and molecular oxidative stress, vitamins A, C and E, zinc, and selenium merit particular attention <abbrgrp>
<abbr bid="B14">14</abbr>
</abbrgrp>. Oxidative stress is a disorder of the state of equilibrium of the prooxidant/antioxidant system in intact cells, with consequent harm to lipids, proteins, carbohydrates and nucleic acid, leading to cell death <abbrgrp>
<abbr bid="B15">15</abbr>
</abbrgrp>. More recently, some authors believe that it is not only an imbalance or a single entity, since redox of plasma GSH/GSSG is not equilibrated with the larger plasma cysteine/cystine (Cys/CySS) pool. Thus, from a mechanistic standpoint, oxidative stress may be better defined as a disruption of redox signaling and control <abbrgrp>
<abbr bid="B16">16</abbr>
<abbr bid="B17">17</abbr>
</abbrgrp>.</p>
<p>A number of studies have demonstrated the association between antioxidant nutrient intake and the lesser formation of free radicals as well as aspects related to the pathogenesis and emergence of non-communicable chronic diseases <abbrgrp>
<abbr bid="B6">6</abbr>
<abbr bid="B14">14</abbr>
<abbr bid="B18">18</abbr>
<abbr bid="B19">19</abbr>
<abbr bid="B20">20</abbr>
</abbrgrp>. On the other hand, none of these studies demonstrated that the supplementation with antioxidants has succeeded in reducing the rate of chronic diseases.</p>
<p>The aim of the present study was to describe the dietary intake of the main antioxidants in a representative sample of the adult Brazilian population and discuss the main consequences of a low intake of these micronutrients on overall health.</p>
</sec>
<sec>
<st>
<p>Methods</p>
</st>
<p>A total of 2344 individuals over 40 years of age, residents of rural and urban areas of 150 cities in the country were evaluated in the present cross-sectional study. Individuals of all socioeconomic classes, degrees of schooling, skin colors and types of occupation were included in order to maintain the Brazilian population as representative <abbrgrp>
<abbr bid="B1">1</abbr>
<abbr bid="B21">21</abbr>
</abbrgrp>. The probabilistic sample was selected in three phases, controlled for gender, age and type of occupation <abbrgrp>
<abbr bid="B21">21</abbr>
<abbr bid="B22">22</abbr>
</abbrgrp>.</p>
<p>The interviews were held at the residences of the interviewees and administered face to face. Interviewers carried out interviews seven days a week during the entire day and evening. The residences were selected randomly. Individuals with cognitive disabilities (neurological diseases and dementia) who could provide dubious information were excluded from the study. All of the other diseases, including hypertension and diabetes, as well as concomitant medications and lifestyle habits (smoking, physical activity and alcohol intake) were not considered as exclusion criteria. Since these conditions may modify the needs of antioxidants, several statistical adjustements were performed to correct the possible confounders. Moreover, patients taking calcium and vitamin D as well as multivitamin or other dietary supplements were excluded of this nutritional analysis.</p>
<p>Anthropometric evaluation involved the determination of weight (kg) and height (m) using a portable digital scale and metric tape, respectively. The body mass index (BMI) was calculated by body weight divided by height squared (kg/m<sup>2</sup>). The classification of nutritional state was determined based on the criteria proposed by the World Health Organization <abbrgrp>
<abbr bid="B23">23</abbr>
</abbrgrp>.</p>
<p>Food intake was evaluated based on 24-h recall. The interviewers were trained by a nutritionist specialized in the application of eating habit surveys. The questionnaires of individuals with a calorie intake below 400 Kcal or above 5500 Kcal were excluded. The data were analyzed with the aid of the Nutrition Data System for Research software program <abbrgrp>
<abbr bid="B24">24</abbr>
</abbrgrp>, which uses the food composition table of the US Department of Agriculture (USDA) as its database. Dietary energy and micronutrient intake was then evaluated in relation to antioxidant function, such as vitamins A, C and E, selenium, and zinc. Food supplement intake was considered and used in the final evaluation. Data on macronutrients and micronutrients related to bone health have recently been published <abbrgrp>
<abbr bid="B22">22</abbr>
<abbr bid="B25">25</abbr>
</abbrgrp>.</p>
<p>For all analyses, adjustments for the energy of the diet were made based on the residual nutrient method proposed by Willett and Stampfer <abbrgrp>
<abbr bid="B26">26</abbr>
</abbrgrp>. Dietary intake was analyzed considering the different characteristics of the population: gender, age, nutritional state, physical activity levels, region and socioeconomic status in order to correct possible confounders. Furthermore, all questionnaires were revised by an independent supervisor and underwent continuous process of criticism and consistency. Inconsistently filled questionnaires were returned for correction. About 25% of the questionnaires were verified <it>in loco </it>or <it>post hoc </it>by phone call. The Dietary Reference Intakes (DRIs) <abbrgrp>
<abbr bid="B8">8</abbr>
<abbr bid="B9">9</abbr>
<abbr bid="B10">10</abbr>
</abbrgrp> were used as the reference values, considering age and gender.</p>
<p>All participants received an explanation of the goals and outcomes of this study and signed terms of informed consent. The study received approval from the Ethics Committee of the Universidade Federal de S&#227;o Paulo/ Escola Paulista de Medicina, Brazil.</p>
<p>Statistical analyses were performed using the SPSS statistical package for Windows (version 13.0). The descriptive data were expressed as mean and standard deviation for numerical variables and percentage for qualitative variables. The Student's t-test was used for the comparison of numerical variables between groups. Analysis of variance (ANOVA) was used for multiple comparisons of numerical variables between three or more groups. When significant differences were found in the numerical variables between three or more groups, Tukey test was applied for each pair of variables separately in order to identify what levels differed between one another by calculating the adjusted <it>p</it>-value. The Kolmogorov-Smirnov test was used in all analyses to ensure the normal distribution of the nutrients. Either the chi-square test or Fisher's exact test was used to determine associations between categorical variables. For all analyses, <it>p</it>-values less than 0.05 were considered statistically significant.</p>
</sec>
<sec>
<st>
<p>Results</p>
</st>
<p>The sample was made up of 2344 individuals, 693 (29.6%) of whom were men and 1651 (70.4%) of whom were women. Mean age was 58.4 &#177; 12.8 and 60.1 &#177; 13.7 years for males and females, respectively. The largest portion of the individuals was over 51 years of age and was therefore at greater risk of non-communicable chronic diseases, especially osteoporosis. Geographic and socioeconomic distributions simulated the official data of the Brazilian Institute of Geography and Statistics <abbrgrp>
<abbr bid="B1">1</abbr>
</abbrgrp> and National Home Sampling Survey <abbrgrp>
<abbr bid="B21">21</abbr>
</abbrgrp>. Based on nutritional state (determined by the BMI), there was a high frequency of individuals with overweight and obesity (57.5%), particularly in the male gender (Table <tblr tid="T1">1</tblr>). There were no significant differences in nutritional state in relation to socioeconomic class or region of the country.</p>
<tbl id="T1"><title><p>Table 1</p></title><caption><p>General characteristics of Brazilian adults</p></caption><tblbdy cols="4">
      <r>
         <c>
            <p/>
         </c>
         <c ca="center">
            <p>
               <b>Total (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Men (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Women (%)</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="4">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <ul>
                  <b>Age group</b>
               </ul>
            </p>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>40-50 years</p>
         </c>
         <c ca="center">
            <p>799 (34.3)</p>
         </c>
         <c ca="center">
            <p>247 (35.8)</p>
         </c>
         <c ca="center">
            <p>552 (33.7)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>51-70 years</p>
         </c>
         <c ca="center">
            <p>895 (38.4)</p>
         </c>
         <c ca="center">
            <p>273 (39.4)</p>
         </c>
         <c ca="center">
            <p>622 (37.7)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>70 years or more</p>
         </c>
         <c ca="center">
            <p>634 (27.2)</p>
         </c>
         <c ca="center">
            <p>169 (24.4)</p>
         </c>
         <c ca="center">
            <p>464 (28.1)</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <ul>
                  <b>Geographic region</b>
               </ul>
            </p>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>North</p>
         </c>
         <c ca="center">
            <p>307 (13.1)</p>
         </c>
         <c ca="center">
            <p>94 (14.0)</p>
         </c>
         <c ca="center">
            <p>210 (12.7)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>Northeast</p>
         </c>
         <c ca="center">
            <p>491 (20.9)</p>
         </c>
         <c ca="center">
            <p>139 (20.1)</p>
         </c>
         <c ca="center">
            <p>352 (21.3)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>Central-West</p>
         </c>
         <c ca="center">
            <p>338 (14.4)</p>
         </c>
         <c ca="center">
            <p>102 (14.7)</p>
         </c>
         <c ca="center">
            <p>236 (14.3)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>Southeast</p>
         </c>
         <c ca="center">
            <p>824 (35.1)</p>
         </c>
         <c ca="center">
            <p>240 (34.6)</p>
         </c>
         <c ca="center">
            <p>584 (35.4)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>South</p>
         </c>
         <c ca="center">
            <p>385 (16.4)</p>
         </c>
         <c ca="center">
            <p>115 (16.6)</p>
         </c>
         <c ca="center">
            <p>269 (16.3)</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <ul>
                  <b>Socioeconomic Class</b>
               </ul>
            </p>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>A-B (highest)</p>
         </c>
         <c ca="center">
            <p>321(13.8)</p>
         </c>
         <c ca="center">
            <p>111 (16.1)</p>
         </c>
         <c ca="center">
            <p>210 (12.8)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>C</p>
         </c>
         <c ca="center">
            <p>753 (32.4)</p>
         </c>
         <c ca="center">
            <p>233 (33.9)</p>
         </c>
         <c ca="center">
            <p>519 (31.4)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>D-E (lowest)</p>
         </c>
         <c ca="center">
            <p>1252 (49.4)</p>
         </c>
         <c ca="center">
            <p>344 (49.6)</p>
         </c>
         <c ca="center">
            <p>562 (34.0)</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <ul>
                  <b>Nutritional State</b>
               </ul>
            </p>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>Malnutrition</p>
         </c>
         <c ca="center">
            <p>66 (2.9)</p>
         </c>
         <c ca="center">
            <p>16 (2.5)</p>
         </c>
         <c ca="center">
            <p>50 (3.0)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>Normality</p>
         </c>
         <c ca="center">
            <p>887 (39.4)</p>
         </c>
         <c ca="center">
            <p>247 (37.1)</p>
         </c>
         <c ca="center">
            <p>640 (40.4)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>Overweight</p>
         </c>
         <c ca="center">
            <p>840 (37.3)</p>
         </c>
         <c ca="center">
            <p>281 (42.3)</p>
         </c>
         <c ca="center">
            <p>558 (35.2)</p>
         </c>
      </r>
      <r>
         <c ca="right">
            <p>Obesity</p>
         </c>
         <c ca="center">
            <p>459 (20.4)</p>
         </c>
         <c ca="center">
            <p>121 (18.2)</p>
         </c>
         <c ca="center">
            <p>338 (21.3)</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>Mean (Standard Deviation)</p>
   </tblfn></tbl>
<p>With the exception of vitamin C there were significant differences in intakes of all nutrients between genders. Men had a higher mean intake of vitamin E and zinc, while women had higher intakes of vitamin A and selenium (Table <tblr tid="T2">2</tblr>).</p>
<tbl id="T2"><title><p>Table 2</p></title><caption><p>Daily intake of antioxidants in Brazilian adults</p></caption><tblbdy cols="6">
      <r>
         <c ca="center">
            <p>
               <b>Nutrients</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Men</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Reference value (EAR)&#8364;</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Women</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Reference value (EAR)&#8364;</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>P</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="6">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin A (&#956;g RAE)</p>
         </c>
         <c ca="center">
            <p>368.7 &#177; 1502</p>
         </c>
         <c ca="center">
            <p>625</p>
         </c>
         <c ca="center">
            <p>411.3 &#177; 1494</p>
         </c>
         <c ca="center">
            <p>500</p>
         </c>
         <c ca="center">
            <p>0.02</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin C (mg)</p>
         </c>
         <c ca="center">
            <p>70.9 &#177; 536.6</p>
         </c>
         <c ca="center">
            <p>75</p>
         </c>
         <c ca="center">
            <p>95.4 &#177; 501.9</p>
         </c>
         <c ca="center">
            <p>60</p>
         </c>
         <c ca="center">
            <p>0.44</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin E (mg)</p>
         </c>
         <c ca="center">
            <p>5.1 &#177; 2.8</p>
         </c>
         <c ca="center">
            <p>12</p>
         </c>
         <c ca="center">
            <p>4.9 &#177; 1.9</p>
         </c>
         <c ca="center">
            <p>12</p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Selenium (&#956;g)</p>
         </c>
         <c ca="center">
            <p>84 &#177; 53.4</p>
         </c>
         <c ca="center">
            <p>45</p>
         </c>
         <c ca="center">
            <p>84.8 &#177; 40.1</p>
         </c>
         <c ca="center">
            <p>45</p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Zinc (mg)</p>
         </c>
         <c ca="center">
            <p>9.6 &#177; 4.8</p>
         </c>
         <c ca="center">
            <p>9.4</p>
         </c>
         <c ca="center">
            <p>8.7 &#177; 3.7</p>
         </c>
         <c ca="center">
            <p>6.8</p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>Student's t-test; Mean &#177; Standard Deviation; RAE: Retinol Activity Equivalents; EAR<sup>&#8364; </sup>Estimate Average Requirement reference values for individuals &#8805; 40 years old (8-11); adjusted for age and energy</p>
   </tblfn></tbl>
<p>A greater intake of selenium and vitamin A was found in the northern region. Vitamin C ingestion was significantly higher in the northeastern region. There was a greater intake of vitamin E in the central-western region, with a similar intake of these nutrients in the southeastern region. The southern and central-western regions had a greater intake of zinc (Table <tblr tid="T3">3</tblr>).</p>
<tbl id="T3"><title><p>Table 3</p></title><caption><p>Daily intake of antioxidants in Brazilian adults according to macro-region</p></caption><tblbdy cols="7">
      <r>
         <c ca="center">
            <p>
               <b>Nutrients</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>North</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Northeast</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Central-West</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Southeast</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>South</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>P</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="7">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin A (&#956;g RAE)</p>
         </c>
         <c ca="center">
            <p>375.3 &#177; 2872.2*</p>
         </c>
         <c ca="center">
            <p>175.6 &#177; 832.2</p>
         </c>
         <c ca="center">
            <p>181.5 &#177; 898.7</p>
         </c>
         <c ca="center">
            <p>258.7 &#177; 1156.5</p>
         </c>
         <c ca="center">
            <p>256.4 &#177; 1288</p>
         </c>
         <c ca="center">
            <p>0.036</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin C (mg)</p>
         </c>
         <c ca="center">
            <p>39.1 &#177; 195.9</p>
         </c>
         <c ca="center">
            <p>162.5 &#177; 634.7*</p>
         </c>
         <c ca="center">
            <p>95 &#177; 473.7</p>
         </c>
         <c ca="center">
            <p>71 &#177; 597.7</p>
         </c>
         <c ca="center">
            <p>63.6 &#177; 290.7</p>
         </c>
         <c ca="center">
            <p>0.005</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin E (mg)</p>
         </c>
         <c ca="center">
            <p>4.8 &#177; 2.5</p>
         </c>
         <c ca="center">
            <p>4.5 &#177; 2</p>
         </c>
         <c ca="center">
            <p>5.1 &#177; 1.9*</p>
         </c>
         <c ca="center">
            <p>5.1 &#177; 2.2*</p>
         </c>
         <c ca="center">
            <p>5.0 &#177; 2.8*</p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Selenium (mg)</p>
         </c>
         <c ca="center">
            <p>105.9 &#177; 79.5*</p>
         </c>
         <c ca="center">
            <p>84.7 &#177; 40.8</p>
         </c>
         <c ca="center">
            <p>76.7 &#177; 31.6</p>
         </c>
         <c ca="center">
            <p>78.4 &#177; 32.2</p>
         </c>
         <c ca="center">
            <p>87.8 &#177; 35.7</p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Zinc (mg)</p>
         </c>
         <c ca="center">
            <p>8.6 &#177; 4.5</p>
         </c>
         <c ca="center">
            <p>8.7 &#177; 4</p>
         </c>
         <c ca="center">
            <p>9.4 &#177; 4.1*</p>
         </c>
         <c ca="center">
            <p>8.8 &#177; 3.3</p>
         </c>
         <c ca="center">
            <p>9.5 &#177; 5*</p>
         </c>
         <c ca="center">
            <p>0.005</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>ANOVA; RAE: Retinol Activity Equivalents; *: higher intake values in each region and significantly different from the others; Tukey test; adjusted for age and energy</p>
   </tblfn></tbl>
<p>The association between antioxidant intake and nutritional state was significant only for zinc, which was higher among individuals with a normal nutritional state than those with overweight or obesity (Table <tblr tid="T4">4</tblr>).</p>
<tbl id="T4"><title><p>Table 4</p></title><caption><p>Daily intake of antioxidants in Brazilian adults according to nutritional state</p></caption><tblbdy cols="5">
      <r>
         <c ca="center">
            <p>
               <b>Nutrients</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Normality</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Overweight</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Obesity</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>P</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="5">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin A (&#956;g RAE)</p>
         </c>
         <c ca="center">
            <p>495.1 &#177; 1979.6</p>
         </c>
         <c ca="center">
            <p>332.9 &#177; 1023.6</p>
         </c>
         <c ca="center">
            <p>372.2 &#177; 836.7</p>
         </c>
         <c ca="center">
            <p>0.24</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin C (mg)</p>
         </c>
         <c ca="center">
            <p>83.5 &#177; 397.9</p>
         </c>
         <c ca="center">
            <p>87.5 &#177; 582.7</p>
         </c>
         <c ca="center">
            <p>138.5 &#177; 594</p>
         </c>
         <c ca="center">
            <p>0.24</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin E (mg)</p>
         </c>
         <c ca="center">
            <p>4.8 &#177; 1.7</p>
         </c>
         <c ca="center">
            <p>5 &#177; 2.1</p>
         </c>
         <c ca="center">
            <p>4.9 &#177; 1.8</p>
         </c>
         <c ca="center">
            <p>0.51</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Selenium (&#956;g)</p>
         </c>
         <c ca="center">
            <p>84.9 &#177; 39.3</p>
         </c>
         <c ca="center">
            <p>84.1 &#177; 38.7</p>
         </c>
         <c ca="center">
            <p>85 &#177; 41.3</p>
         </c>
         <c ca="center">
            <p>0.93</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Zinc (mg)</p>
         </c>
         <c ca="center">
            <p>9.1 &#177; 4.5</p>
         </c>
         <c ca="center">
            <p>8.4 &#177; 2.9</p>
         </c>
         <c ca="center">
            <p>8.7 &#177; 3.3</p>
         </c>
         <c ca="center">
            <p>0.02</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>Mean &#177; Standard Deviation; ANOVA; Tukey test; adjusted for age and energy</p>
   </tblfn></tbl>
<p>There was a high proportion of individuals with low intake of all antioxidant nutrients, with the exception of selenium. The highest proportion of individuals with low daily intake was for vitamin E, followed by vitamin A. A greater proportion of men had a low intake of zinc and selenium. Although we found a similar mean intake of vitamin C for men and women as shown in Table <tblr tid="T2">2</tblr>, the proportion of men with lower intake was significantly higher (Table <tblr tid="T5">5</tblr>).</p>
<tbl id="T5"><title><p>Table 5</p></title><caption><p>Proportion of Brazilian adults with low antioxidant intake based on DRI recommendations for gender</p></caption><tblbdy cols="5">
      <r>
         <c ca="center">
            <p>
               <b>Nutrients</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Total (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Men (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Women (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>P</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="5">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin A</p>
         </c>
         <c ca="center">
            <p>92.4</p>
         </c>
         <c ca="center">
            <p>93.4</p>
         </c>
         <c ca="center">
            <p>92.1</p>
         </c>
         <c ca="center">
            <p>0.37</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin C</p>
         </c>
         <c ca="center">
            <p>85.1</p>
         </c>
         <c ca="center">
            <p>88.3*</p>
         </c>
         <c ca="center">
            <p>83.7</p>
         </c>
         <c ca="center">
            <p>0.05</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin E</p>
         </c>
         <c ca="center">
            <p>99.7</p>
         </c>
         <c ca="center">
            <p>99.6</p>
         </c>
         <c ca="center">
            <p>99.8</p>
         </c>
         <c ca="center">
            <p>0.28</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Selenium</p>
         </c>
         <c ca="center">
            <p>13.4</p>
         </c>
         <c ca="center">
            <p>18*</p>
         </c>
         <c ca="center">
            <p>11.5</p>
         </c>
         <c ca="center">
            <p>0.01</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Zinc</p>
         </c>
         <c ca="center">
            <p>52.1</p>
         </c>
         <c ca="center">
            <p>67.4*</p>
         </c>
         <c ca="center">
            <p>45.6</p>
         </c>
         <c ca="center">
            <p>0.03</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>ANOVA; Tukey test; adjusted for age and energy; *: Significantly higher proportion of low intake</p>
   </tblfn></tbl>
<p>There was no statistically significant difference in the proportion of individuals with low dietary intake of vitamin A, vitamin E, and zinc in relation to region of the country. Although mean intake was below that recommended by the DRIs, there was a lower proportion of individuals with low vitamin C intake in the northeastern region. There is a lower proportion of individuals with low selenium intake in the entire country, especially in the southern region (p &lt; 0.05) (Table <tblr tid="T6">6</tblr>).</p>
<tbl id="T6"><title><p>Table 6</p></title><caption><p>Proportion of Brazilian adults with low antioxidant intake according to geographic region</p></caption><tblbdy cols="7">
      <r>
         <c ca="center">
            <p>
               <b>Nutrients</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>North (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Northeast (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Central-West (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Southeast (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>South (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>P</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="7">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin A</p>
         </c>
         <c ca="center">
            <p>94.8</p>
         </c>
         <c ca="center">
            <p>90.8</p>
         </c>
         <c ca="center">
            <p>94.7</p>
         </c>
         <c ca="center">
            <p>92.1</p>
         </c>
         <c ca="center">
            <p>91.4</p>
         </c>
         <c ca="center">
            <p>0.12</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin C</p>
         </c>
         <c ca="center">
            <p>90.6</p>
         </c>
         <c ca="center">
            <p>79.8*</p>
         </c>
         <c ca="center">
            <p>85.8</p>
         </c>
         <c ca="center">
            <p>85.6</p>
         </c>
         <c ca="center">
            <p>85.7</p>
         </c>
         <c ca="center">
            <p>0.04</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin E</p>
         </c>
         <c ca="center">
            <p>99</p>
         </c>
         <c ca="center">
            <p>100</p>
         </c>
         <c ca="center">
            <p>100</p>
         </c>
         <c ca="center">
            <p>99.6</p>
         </c>
         <c ca="center">
            <p>99.7</p>
         </c>
         <c ca="center">
            <p>0.21</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Selenium</p>
         </c>
         <c ca="center">
            <p>10.7</p>
         </c>
         <c ca="center">
            <p>16.5</p>
         </c>
         <c ca="center">
            <p>16.9</p>
         </c>
         <c ca="center">
            <p>14.2</p>
         </c>
         <c ca="center">
            <p>7*</p>
         </c>
         <c ca="center">
            <p>0.01</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Zinc</p>
         </c>
         <c ca="center">
            <p>54.1</p>
         </c>
         <c ca="center">
            <p>54.2</p>
         </c>
         <c ca="center">
            <p>48.7</p>
         </c>
         <c ca="center">
            <p>54.1</p>
         </c>
         <c ca="center">
            <p>46.5*</p>
         </c>
         <c ca="center">
            <p>0.03</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>ANOVA; Tukey test; adjusted for age and energy; *: Significantly higher proportion of low intake</p>
   </tblfn></tbl>
<p>Based on the presence of fractures due to bone frailty, there was no significant association with the intake of any of antioxidants investigated (data not shown). The same was true regarding the intake of macronutrients and micronutrients related to bone health (calcium, phosphorus, magnesium, vitamins D, K and A) <abbrgrp>
<abbr bid="B22">22</abbr>
<abbr bid="B25">25</abbr>
</abbrgrp>.</p>
<p>In general, a greater proportion of individuals with overweight or obesity had low vitamin A intake (Table <tblr tid="T7">7</tblr>). There were no significant differences regarding the intake of the other antioxidants.</p>
<tbl id="T7"><title><p>Table 7</p></title><caption><p>Proportion of Brazilian adults with low antioxidant intake according to nutritional state</p></caption><tblbdy cols="5">
      <r>
         <c>
            <p/>
         </c>
         <c ca="center">
            <p>
               <b>Normality (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Overweight (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Obesity (%)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>P</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="5">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin A</p>
         </c>
         <c ca="center">
            <p>89.8</p>
         </c>
         <c ca="center">
            <p>94.6*</p>
         </c>
         <c ca="center">
            <p>91.4*</p>
         </c>
         <c ca="center">
            <p>0.04</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin C</p>
         </c>
         <c ca="center">
            <p>82.8</p>
         </c>
         <c ca="center">
            <p>86.4</p>
         </c>
         <c ca="center">
            <p>80.5</p>
         </c>
         <c ca="center">
            <p>0.11</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Vitamin E</p>
         </c>
         <c ca="center">
            <p>99.8</p>
         </c>
         <c ca="center">
            <p>99.8</p>
         </c>
         <c ca="center">
            <p>99.7</p>
         </c>
         <c ca="center">
            <p>0.29</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Selenium</p>
         </c>
         <c ca="center">
            <p>11.9</p>
         </c>
         <c ca="center">
            <p>11.6</p>
         </c>
         <c ca="center">
            <p>10.9</p>
         </c>
         <c ca="center">
            <p>0.15</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>Zinc</p>
         </c>
         <c ca="center">
            <p>43.1</p>
         </c>
         <c ca="center">
            <p>47.8</p>
         </c>
         <c ca="center">
            <p>46.7</p>
         </c>
         <c ca="center">
            <p>0.22</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>ANOVA; Tukey test, adjusted for age and energy; *: Significantly higher proportion of low intake</p>
   </tblfn></tbl>
</sec>
<sec>
<st>
<p>Discussion</p>
</st>
<p>The results of the present study demonstrate that, while there was a difference in dietary antioxidant intake between Brazilian men and women, mean vitamin A and vitamin E intake was below the reference values, regardless of gender, age, skin color, economic status, social class, nutritional state and region of the country.</p>
<p>Brazil has been following the worldwide tendency of an extended life expectancy and ageing of the population <abbrgrp>
<abbr bid="B27">27</abbr>
<abbr bid="B28">28</abbr>
</abbrgrp>. The low intake of antioxidants, especially among individuals over 60 years of age, can have serious public health consequences. In elderly individuals, besides the reduction in the capacity to prevent and remove oxidation products, there is also a greater possibility of generating reactive oxygen species and a lesser dietary antioxidant intake related to a series of factors inherent to ageing, such as a reduction in ingestion and the absorption capacity of the digestive tract <abbrgrp>
<abbr bid="B27">27</abbr>
<abbr bid="B29">29</abbr>
</abbrgrp>. Thus, the low intake identified in the BRAZOS study may be an indicator that antioxidant intake should be improved.</p>
<p>In the present study, Brazilian people had significantly lower intakes of antioxidants. This may be consequence of consumption underreporting. However, other factors can particularly affect the intake. The simple fact of living longer is associated with less functional abilities, and other conditions, i.e. being widowed and with children living geographically apart can reduce motivation for cooking. Financial issues, such as living on a fixed/low income, increased dependence on social security or pension may also contribute to a greater nutrient inadequacy <abbrgrp>
<abbr bid="B30">30</abbr>
</abbrgrp>.</p>
<p>Currently, obesity is considered the second greatest cause of avoidable death in modern society. According to data from the 2002-2003 Brazilian Family Budget Survey <abbrgrp>
<abbr bid="B2">2</abbr>
</abbrgrp>, 40.6% of the population is overweight, with greater prevalence among individuals between 50 and 70 years of age. The BRAZOS study reveals a similar frequency of overweight and obesity (57.7%) among men and women over 40 years of age <abbrgrp>
<abbr bid="B22">22</abbr>
<abbr bid="B23">23</abbr>
</abbrgrp>. Obesity and the consequent non-communicable chronic diseases stemming from it do not only affect the mortality rate, but are also associated to concomitant diseases that represent a huge economic burden on the healthcare system and society alike. Costs with care and medication are significantly higher for patients with excess weight, increasing with each unit of body mass index in the shape of a "J" curve <abbrgrp>
<abbr bid="B31">31</abbr>
</abbrgrp>.</p>
<p>In western societies, the increase in obesity and associated chronic disease has been related to an increase in calorie intake stemming from the choice of unbalanced diets, the intake of foods with a high energy density rich in fats and carbohydrates <abbrgrp>
<abbr bid="B32">32</abbr>
</abbrgrp> as well as a progressive increase in the portions of food <abbrgrp>
<abbr bid="B6">6</abbr>
<abbr bid="B32">32</abbr>
<abbr bid="B33">33</abbr>
<abbr bid="B34">34</abbr>
</abbrgrp>. It should be stressed that the greater total food and calorie intake by obese individuals is not necessarily associated to the consumption of foods that are a source of micronutrients, as evidenced in the present study. In general, there is an insufficient intake of sources of vitamins and minerals, which, in the long run, could increase the risk of the development or aggravation of metabolic disorders.</p>
<p>Conversely, the relation between anthropometric nutritional state and food intake data or the concentrations of vitamins and minerals is controversial. A number of studies have found lower serum levels of carotenoids in obese individuals in comparison to individuals within the ideal weight range, with no significant difference regarding food intake <abbrgrp>
<abbr bid="B31">31</abbr>
<abbr bid="B35">35</abbr>
<abbr bid="B36">36</abbr>
<abbr bid="B37">37</abbr>
<abbr bid="B38">38</abbr>
</abbrgrp>. Thus, greater serum inadequacy of these antioxidants is believed to be associated with a greater metabolic demand rather than oxidative stress in obese individuals <abbrgrp>
<abbr bid="B39">39</abbr>
</abbrgrp>.</p>
<p>Traditionally, vitamin A deficiency is related to alterations in visual acuity and the immune system. Its role as a modulator of fat tissue, causing greater adipogenesis, has recently been demonstrated <abbrgrp>
<abbr bid="B40">40</abbr>
</abbrgrp>. Moreover, individuals with a lower plasma concentration of this vitamin may be at greater risk for cardiovascular mortality <abbrgrp>
<abbr bid="B41">41</abbr>
</abbrgrp>, as vitamin A participates in the prevention and slowing of the atherogenesis process through the inhibition of the oxidation of LDL-cholesterol and a reduction in the formation of foam cells <abbrgrp>
<abbr bid="B20">20</abbr>
<abbr bid="B42">42</abbr>
</abbrgrp>. The data from the present study corroborate previous studies carried out in Bambu&#237; (Minas Gerais, Brazil) <abbrgrp>
<abbr bid="B43">43</abbr>
</abbrgrp> and Ponta Por&#227; (Mato Grosso do Sul, Brazil) <abbrgrp>
<abbr bid="B44">44</abbr>
</abbrgrp> regarding the high proportion of individuals with low vitamin A intake (92.4%, 99.8% and 87.5%, respectively). The most likely explanation for this finding, even in regions with a large amount of food sources of this vitamin, such as the northern and northeastern regions, is more related to cultural and eating habits than economic factors <abbrgrp>
<abbr bid="B45">45</abbr>
<abbr bid="B46">46</abbr>
</abbrgrp>. According to the National Demographic Children's and Women's Health Survey <abbrgrp>
<abbr bid="B47">47</abbr>
</abbrgrp>, The greatest prevalence of vitamin A deficiency was found in the southeastern region and the lowest was found in the northern region.</p>
<p>Vitamin E is a lipophilic antioxidant in cell membranes and has considerable importance to the neutralization of peroxynitrites and protection from oxidative stress, particularly the sweeping away of free radicals <abbrgrp>
<abbr bid="B10">10</abbr>
</abbrgrp>. This is the first study to evaluate the dietary intake of vitamin E among the Brazilian population. Two surveys in the United States found intakes of vitamin E superior to the values found in our study. The Third National Health and Nutrition Examination Survey (NHANES III 1988-94) reported a median intake for men and women (31 to 50 years old) of 11.7 mg and 9.1 mg, respectively, while the Continuing Survey of Food Intakes by Individuals (CSFII 1994-96) described lower median intake in this same age (9.3 mg for men and 6.8 mg for women) <abbrgrp>
<abbr bid="B9">9</abbr>
<abbr bid="B48">48</abbr>
</abbrgrp>. A British cohort study that evaluated vitamin intake at 4 and 43 years of age identified that those with the lower intake had higher risk for hypertension and higher waist circumference. In this study, the highest intake of vitamin E, both in childhood and adulthood, was found in women (57%) <abbrgrp>
<abbr bid="B49">49</abbr>
</abbrgrp>. These findings are different from our results, which indicate similar intake in both genders. In another study, Morris et al found that higher intake of vitamin E, from both food and supplements, was associated with lesser change in cognitive score/year in elderly <abbrgrp>
<abbr bid="B50">50</abbr>
</abbrgrp>. In our study, the mean intake was similar to the values reported for median intakes in the lower quintile.</p>
<p>In order to achieve the current recommendation for vitamin E intake proposed by the DRIs, it is necessary to consume large quantities of food sources of this vitamin, such as oils, oil-rich foods and whole-grain cereals <abbrgrp>
<abbr bid="B51">51</abbr>
<abbr bid="B52">52</abbr>
</abbrgrp>, which are also a source of unsaturated fatty acids. Thus, a diet rich in fruit and vegetables, but with a low intake of these food sources, likely contains less than 15 mg of &#945;-tocopherol. Some of these foods, such as nuts, are generally not part of Brazilian cultural habits. Soybean oil and margarine are the main sources of fats in Brazil <abbrgrp>
<abbr bid="B2">2</abbr>
</abbrgrp>, and vitamin E requirements increase as polyunsaturated fats intake increases. Furthermore, a diet rich in fats/ oils may not be of advantage due to their high-energy or caloric value <abbrgrp>
<abbr bid="B9">9</abbr>
</abbrgrp>. The supplementation or fortification of foods with vitamin E may be an interesting strategy for improving dietary adequacy <abbrgrp>
<abbr bid="B53">53</abbr>
<abbr bid="B54">54</abbr>
</abbrgrp>. However, it also should be taken into consideration that vitamin E is a difficult element for assessing. Low intakes may be due to underreporting of energy and consequently of fat intake, its primary source, or difficulty in estimating amounts of oils and fats added to food preparation and actual amount absorbed into the cooked product <abbrgrp>
<abbr bid="B9">9</abbr>
</abbrgrp>.</p>
<p>Selenium is an essential component for the formation of glutathione peroxydase, which is an enzyme involved in the detoxification of hydrogen peroxide and lipid hydroperoxidation as well as an important co-enzyme for the synthesis of proteins related to the immune and neurophysiological systems <abbrgrp>
<abbr bid="B55">55</abbr>
</abbrgrp>. In the BRAZOS study, we found a small proportion of individuals (13.4%) with a low intake of this micronutrient, even lower than that reported by Fernandes et al. (21.1%) in adults with metabolic syndrome <abbrgrp>
<abbr bid="B33">33</abbr>
</abbrgrp>. However, caution should be exercised when analyzing this finding, as the amount of selenium in foods is related to its presence in the soil and the amount found in a given food source differs depending on its region of origin <abbrgrp>
<abbr bid="B56">56</abbr>
</abbrgrp>. For instance, in the case of the Brazil nut, which is an excellent source of this mineral, Freitas et al. <abbrgrp>
<abbr bid="B57">57</abbr>
</abbrgrp> identified contents ranging from 0.003 mg to 5.12 mg in 100 g (range of 1:17000). Moreover, studies have found that the states of S&#227;o Paulo and Mato Grosso have lower concentrations of this nutrient in the soil <abbrgrp>
<abbr bid="B58">58</abbr>
</abbrgrp>. In the present study, selenium intake was highest in the northern region, probably due to the greater consumption of fish and cashews.</p>
<p>More than half of the sample, especially those over 60 years of age (data not shown) had an insufficient zinc intake, which corroborates the findings described by Cozzolino <abbrgrp>
<abbr bid="B58">58</abbr>
</abbrgrp>. Rats with zinc deficiency have a reduced tolerance to glucose with no alteration in insulin production in response to glucose injection <abbrgrp>
<abbr bid="B59">59</abbr>
</abbrgrp>. Likewise, individuals with type II diabetes may have a lower serum level of zinc <abbrgrp>
<abbr bid="B60">60</abbr>
</abbrgrp>. More recently, Marreiro et al. <abbrgrp>
<abbr bid="B61">61</abbr>
</abbrgrp> found low plasma concentrations of zinc in obese individuals and demonstrated that the supplementation of this mineral reduces insulin resistance.</p>
<p>Vitamin C (ascorbic acid) is one of the most important hydrosoluble antioxidants. It is capable of inhibiting the formation of hydroxyl free radicals and protecting from the peroxidation of lipids and LDL by sequestering peroxyl radicals <abbrgrp>
<abbr bid="B62">62</abbr>
</abbrgrp> in joint action with vitamin E <abbrgrp>
<abbr bid="B15">15</abbr>
</abbrgrp>. It should be stressed that the proportion of individuals with low vitamin C and E intake may be underestimated, as the percentage of regular smokers was 25% <abbrgrp>
<abbr bid="B25">25</abbr>
</abbrgrp>, which is a condition that increases the need for these vitamins <abbrgrp>
<abbr bid="B63">63</abbr>
</abbrgrp>.</p>
<p>The present study has limitations that should be considered. Incomplete information about micronutrients in software's database should always be accounted for since the American nutritional reference database used does not include the regional peculiarities of some typical Brazilian foods. However, the researchers took care to adjust the nutritional aspects by means of a laboratory analysis of foods reported by the population, such as regional fruit, dishes, spices, delicacies, etc. Another important aspect is there was no extrapolation to other age groups and/or stages of life, as only individuals over 40 years of age were included. Although an adequate data collection method for the estimation of mean dietary intake <abbrgrp>
<abbr bid="B64">64</abbr>
</abbrgrp>, the evaluation of intake based on a single 24-hour recall does not reflect habitual or long-term intake and does not allow an analysis of intake intra-variability. Moreover, although mean nutrient intake is adequate for the description of intake among groups, it does not allow comparisons with reference values (EAR) for the identification of the prevalence of deficiencies. Other substances not evaluated in this study should be considered in further analyzes due to their role in modulating oxidative stress, such as copper, manganese, as well as that bioactive. Finally, plasma concentrations of the antioxidants were not determined, which does not allow ensuring the clinical outcome.</p>
</sec>
<sec>
<st>
<p>Conclusion</p>
</st>
<p>The BRAZOS study revealed low dietary antioxidant intake in the adult Brazilian population, regardless of social class, economic status, region of the country or skin color. These data suggest that cultural habits and food choices seem to be the most determinant factors of the inadequate intake of micronutrients that are essential to overall health. The best medium and long-term public health strategy for improving the low dietary intake of nutrients is an adequate nutrition education policy in Brazil. Measures for fortifying foods and supplementation, in special cases, as well as the stimulus to guarantee on the availability of antioxidant-rich food, such as fruits and vegetables, could also have a substantial impact on minimizing inadequate nutrient intake. However, prospective studies are needed to demonstrate the association of these findings with a greater risk of non-communicable chronic diseases, especially obesity and osteoporosis.</p>
</sec>
<sec>
<st>
<p>Competing interests</p>
</st>
<p>This study was supported by a grant from Wyeth Consumer Healthcare.</p>
</sec>
<sec>
<st>
<p>Authors' contributions</p>
</st>
<p>MMP - has made substantial contributions to acquisition of data, analysis and interpretation of data also have been involved in drafting the manuscript. RMC - has made substantial contributions to acquisition of data, analysis and interpretation of data also have been involved in drafting the manuscript. GVC - has made substantial contributions to conception and design of data and also analysis and interpretation of data. LA - has been involved in drafting the manuscript or revising it critically for important intellectual content. CRJ - has been involved in drafting the manuscript, made substantial contributions to conception and design and revising it critically for important intellectual content. PSG - has been involved in training of interviewers on nutritional issues and revising final version of the manuscript. MBF - has made substantial contributions to conception and design, have been involved in drafting the manuscript and also revising it critically for important intellectual content and have given final approval of the version to be published. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<st>
<p>Authors' information</p>
</st>
<p>
<b>Marcelo M Pinheiro: </b>Assistant-Doctor, Rheumatology Sector, Federal University of Sao Paulo/ Paulista School of Medicine (Unifesp/ EPM), Brazil <b>Rozana M Ciconelli: </b>Assistant-Doctor, Paulista Center for Health Economics, Unifesp/ EPM, Brazil</p>
<p>
<b>Gabriela Villa&#231;a Chaves: </b>Master in Internal Medicine, Doctoral student in Internal Medicine, Researcher at the Micronutrient Research Center, Josu&#233; de Castro Nutrition Institute, Federal University of Rio de Janeiro, Brazil</p>
<p>
<b>Luana Aquino: </b>Master in Human Nutrition, Researcher at the Micronutrient Research Center, Josu&#233; de Castro Nutrition Institute, Federal University of Rio de Janeiro, Brazil</p>
<p>
<b>Claudia R Juzwiak: </b>Doctor of Science, Adjunct Professor, Department of Health, Education and Society, Nutrition Course, Unifesp/Baixada Santista Campus, Brazil</p>
<p>
<b>Patr&#237;cia Souza Genaro: </b>Doctor in Public Health, Post-Doc student, Rheumatology Division, Federal University of Sao Paulo, Unifesp/ EPM, Brazil</p>
<p>
<b>Marcos Bosi Ferraz: </b>Adjunct Professor and Coordinator of the Paulista Center for Health Economics, Unifesp/ EPM, Brazil</p>
</sec>
</bdy><bm>
<ack>
<sec>
<st>
<p>Acknowledgements</p>
</st>
<p>We would like to thank Prof. L&#237;gia A Martini by relevant scientific considerations and analysis of the nutritional data in this study (BRAZOS), as well as to Nutrition Department of Public Health School, S&#227;o Paulo University (FSP/ USP).</p>
</sec>
</ack>
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