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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Arq Bras Cardiol</journal-id>
      <journal-id journal-id-type="publisher-id">abc</journal-id>
      <journal-title-group>
        <journal-title>Arquivos Brasileiros de Cardiologia</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Arq. Bras. Cardiol.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0066-782X</issn>
      <issn pub-type="epub">1678-4170</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia - SBC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v3">tnNCyBrq3YLzDjtMj7VpHSG</article-id>
      <article-id pub-id-type="other">00423</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S0066-782X2021000400423</article-id>
      <article-id pub-id-type="publisher-id">abc.20190861</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20190861</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Estimativas do Risco Cardiovascular em Dez Anos na Popula&#231;&#227;o Brasileira: Um Estudo de Base Populacional</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8214-5734</contrib-id>
          <name>
            <surname>Malta</surname>
            <given-names>Deborah Carvalho</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6954-1708</contrib-id>
          <name>
            <surname>Pinheiro</surname>
            <given-names>Pedro Cisalpino</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Teixeira</surname>
            <given-names>Renato Azeredo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4678-2074</contrib-id>
          <name>
            <surname>Machado</surname>
            <given-names>Isis Eloah</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0522-0374</contrib-id>
          <name>
            <surname>Santos</surname>
            <given-names>Filipe Malta dos</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2740-0042</contrib-id>
          <name>
            <surname>Ribeiro</surname>
            <given-names>Ant&#244;nio Luiz Pinho</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Universidade Federal de Minas Gerais</institution>
          <addr-line>
            <named-content content-type="city">Belo Horizonte</named-content>
            <named-content content-type="state">MG</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Universidade Federal de Minas Gerais, Belo Horizonte, MG - Brasil.</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Universidade Federal de Ouro Preto</institution>
          <addr-line>
            <named-content content-type="city">Ouro Preto</named-content>
            <named-content content-type="state">MG</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Universidade Federal de Ouro Preto, Ouro Preto, MG - Brasil.</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><bold>Correspond&#234;ncia: Deborah Carvalho Malta</bold> &#8226; Universidade Federal de Minas Gerais - Escola de Enfermagem - Professor Alfredo Balena, 190. CEP <postal-code>30130-100</postal-code>, Belo Horizonte, MG &#8211; Brasil. E-mail: <email>dcmalta@uol.com.br</email>
				</corresp>
        <fn fn-type="con">
          <p>
            <bold>Contribui&#231;&#227;o dos Autores</bold>
          </p>
          <p>Concep&#231;&#227;o e desenho da pesquisa, An&#225;lise e interpreta&#231;&#227;o dos dados e Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do: Malta DC, Pinheiro PC, Teixeira RA, Machado IE, Santos FM, Ribeiro AL; Obten&#231;&#227;o de dados e Reda&#231;&#227;o do manuscrito: Malta DC, Pinheiro PC; An&#225;lise estat&#237;stica: Pinheiro PC, Teixeira RA; Obten&#231;&#227;o de financiamento: Malta DC.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potencial Conflito de Interesses</bold>
          </p>
          <p>Nenhum potencial conflito de interesses relevante para este artigo foi relatado.</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>23</day>
        <month>04</month>
        <year>2021</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <month>03</month>
        <year>2021</year>
      </pub-date>
      <volume>116</volume>
      <issue>3</issue>
      <fpage>423</fpage>
      <lpage>431</lpage>
      <history>
        <date date-type="received">
          <day>03</day>
          <month>12</month>
          <year>2019</year>
        </date>
        <date date-type="rev-recd">
          <day>12</day>
          <month>05</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>24</day>
          <month>06</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fundamento:</title>
          <p>As doen&#231;as cardiovasculares s&#227;o a principal causa de morbimortalidade, altos custos com sa&#250;de e perdas econ&#244;micas importantes. O escore de Framingham tem sido amplamente utilizado para estratificar o risco dos indiv&#237;duos avaliados, identificando aqueles com risco maior para que sejam implementadas medidas de preven&#231;&#227;o direcionadas para esse grupo.</p>
        </sec>
        <sec>
          <title>Objetivos:</title>
          <p>Estimar o risco cardiovascular em 10 anos da popula&#231;&#227;o brasileira adulta.</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>Estudo transversal, utilizando dados laboratoriais de uma subamostra da Pesquisa Nacional de Sa&#250;de. Para calcular o risco cardiovascular, utilizou-se o escore de Framingham, estratificado por sexo.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>A maioria das mulheres (58,4%) apresentou baixo risco cardiovascular, 32,9%, risco m&#233;dio e 8,7%, risco elevado. Entre homens, 36,5% apresentaram risco cardiovascular baixo, 41,9%, risco m&#233;dio e 21,6%, risco elevado. O risco aumentou com a idade e foi elevado na popula&#231;&#227;o com baixa escolaridade. A propor&#231;&#227;o dos componentes do modelo de Framingham, por grupos de risco e sexo, mostra que, no risco elevado entre mulheres, os indicadores que mais contribu&#237;ram para o risco cardiovascular foram: a press&#227;o arterial sist&#243;lica, colesterol total, HDL, diabetes e tabagismo. Entre homens, press&#227;o arterial sist&#243;lica, colesterol total, HDL, tabagismo e diabetes.</p>
        </sec>
        <sec>
          <title>Conclus&#245;es:</title>
          <p>Trata-se do primeiro estudo nacional com dados laboratoriais a estimar o risco de doen&#231;a cardiovascular em dez anos. Os escores de risco s&#227;o &#250;teis para subsidiar as pr&#225;ticas de preven&#231;&#227;o dessas doen&#231;as, considerando o contexto cl&#237;nico e epidemiol&#243;gico.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave:</title>
        <kwd>Doen&#231;as Cardiovasculares</kwd>
        <kwd>Fatores de Risco</kwd>
        <kwd>Colesterol</kwd>
        <kwd>Diabetes Mellitus</kwd>
        <kwd>Hipertens&#227;o</kwd>
        <kwd>Epidemiologia</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>Minist&#233;rio da Sa&#250;de</funding-source>
          <award-id>TED 148/2018</award-id>
        </award-group>
        <funding-statement>Este estudo foi financiado pelo Minist&#233;rio da Sa&#250;de TED 148/2018.</funding-statement>
      </funding-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="4"/>
        <equation-count count="0"/>
        <ref-count count="49"/>
        <page-count count="9"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>As doen&#231;as cardiovasculares (DCV) foram respons&#225;veis por cerca de 17,9 milh&#245;es de mortes em 2016, cerca de 31% das mortes globais, constituindo as causas mais frequentes de morbimortalidade.<xref ref-type="bibr" rid="B1"><sup>1</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B3"><sup>3</sup></xref> Tamb&#233;m no Brasil, em 2016, as DCV lideraram as maiores taxas de mortalidade e anos de vida perdidos ajustados por incapacidade, em ambos os sexos.<xref ref-type="bibr" rid="B4"><sup>4</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B5"><sup>5</sup></xref> As DCV destacam-se, ainda, pelos maiores custos com interna&#231;&#245;es e tratamento no Sistema &#218;nico de Sa&#250;de (SUS), al&#233;m de custos indiretos ocasionados pela redu&#231;&#227;o da produtividade, afastamento do trabalho e os efeitos negativos sobre a qualidade de vida das pessoas afetadas e familiares.<xref ref-type="bibr" rid="B6"><sup>6</sup></xref>
			</p>
      <p>Os estudos de coorte <italic>Framingham Heart Study</italic>, iniciados em 1948, foram pioneiros na identifica&#231;&#227;o da associa&#231;&#227;o entre os principais fatores de risco (hipertens&#227;o arterial, colesterol elevado e tabagismo), com a doen&#231;a coronariana.<xref ref-type="bibr" rid="B7"><sup>7</sup></xref> Na sequ&#234;ncia desses achados, surgiram diretrizes e protocolos concentrados em um &#250;nico fator de risco como a hipertens&#227;o arterial<xref ref-type="bibr" rid="B8"><sup>8</sup></xref> ou colesterol,<xref ref-type="bibr" rid="B9"><sup>9</sup></xref> para preven&#231;&#227;o das DCV. Estudos da Nova Zel&#226;ndia foram pioneiros, em 1993, na utiliza&#231;&#227;o de fatores de risco m&#250;ltiplos na previs&#227;o de risco cardiovascular.<xref ref-type="bibr" rid="B10"><sup>10</sup></xref> Oriundos da equipe de Framingham, os estudos propuseram uma sistematiza&#231;&#227;o por sexo e faixa et&#225;ria, que previa o risco de desenvolvimento de doen&#231;a coronariana na pr&#243;xima d&#233;cada, mediante escores calculados a partir dos valores da press&#227;o arterial sist&#243;lica, do colesterol total, da fra&#231;&#227;o HDL do colesterol, do diagn&#243;stico de diabetes e do h&#225;bito de fumar.<xref ref-type="bibr" rid="B10"><sup>10</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B11"><sup>11</sup></xref>
			</p>
      <p>A proposi&#231;&#227;o de algoritmos de Framingham para previs&#227;o de DCV foi incorporada ao Terceiro Relat&#243;rio do Painel de Especialistas em Detec&#231;&#227;o, Avalia&#231;&#227;o e Tratamento do colesterol alto no sangue no Painel III de Tratamento em adultos, em 2001.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> Houve valida&#231;&#227;o desses algoritmos em brancos e pretos nos Estados Unidos,<xref ref-type="bibr" rid="B13"><sup>13</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B14"><sup>14</sup></xref> em diversas popula&#231;&#245;es da Europa, na regi&#227;o do Mediterr&#226;neo, &#193;sia, e em todo o mundo, com bom desempenho.<xref ref-type="bibr" rid="B15"><sup>15</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B19"><sup>19</sup></xref>
			</p>
      <p>Outras adapta&#231;&#245;es se seguiram, com destaque para o Risco Cardiovascular Geral, em 2008, proposto pelo grupo de Framingham,<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> que busca estimar o risco de eventos cardiovasculares em 10 anos como: doen&#231;a arterial coronariana (DAC), acidente vascular cerebral (AVC), doen&#231;a arterial obstrutiva perif&#233;rica ou insufici&#234;ncia card&#237;aca.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Esse escore tem sido muito utilizado no mundo e tamb&#233;m foi empregado no pa&#237;s pelas diretrizes brasileiras para conhecer e estimar o risco cardiovascular (CV) absoluto em dez anos.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> Esses escores permitem a&#231;&#245;es preventivas, principalmente por dirigir a estrat&#233;gia populacional para a busca e identifica&#231;&#227;o da popula&#231;&#227;o de alto risco, buscando oportunidades para a sua preven&#231;&#227;o.<xref ref-type="bibr" rid="B22"><sup>22</sup></xref>
			</p>
      <p>Visando conhecer o perfil de sa&#250;de da popula&#231;&#227;o brasileira, o Minist&#233;rio da Sa&#250;de e o Instituto Brasileiro de Geografia e Estat&#237;stica (IBGE) realizaram a Pesquisa Nacional de Sa&#250;de (PNS), um amplo inqu&#233;rito domiciliar que reuniu informa&#231;&#245;es de abrang&#234;ncia nacional sobre a popula&#231;&#227;o, incluindo em seu question&#225;rio informa&#231;&#245;es sobre fatores de risco de DCV e, nos anos de 2014 e 2015, realizou-se a coleta de exames laboratoriais, o que possibilita avan&#231;ar em an&#225;lises de RCV representativas da popula&#231;&#227;o brasileira, na medida em que estimativas anteriores baseavam-se em estudos de popula&#231;&#245;es especificas como estudos hospitalares<xref ref-type="bibr" rid="B23"><sup>23</sup></xref> ou estudos de coorte resultantes de popula&#231;&#245;es de servidores de universidades brasileiras.<xref ref-type="bibr" rid="B24"><sup>24</sup></xref>
			</p>
      <p>Assim, o presente estudo teve o objetivo estimar o risco cardiovascular em dez anos da popula&#231;&#227;o brasileira adulta, segundo dados laboratoriais da PNS.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <p>Trata-se de estudo transversal realizado a partir de dados secund&#225;rios da Pesquisa Nacional de Sa&#250;de (PNS). A PNS &#233; uma pesquisa domiciliar integrante do Sistema Integrado de Pesquisas Domiciliares (SIPD), do Instituto Brasileiro de Geografia e Estat&#237;stica (IBGE).<xref ref-type="bibr" rid="B25"><sup>25</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B26"><sup>26</sup></xref> O componente laboratorial foi coletado em 2014 e 2015 e as metodologias do processo amostral da PNS e da subamostra do laborat&#243;rio encontram-se detalhadas em estudos anteriores.<xref ref-type="bibr" rid="B25"><sup>25</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B27"><sup>27</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B28"><sup>28</sup></xref> A subamostra laboratorial obtida foi de 8.952 pessoas e, visando a corre&#231;&#227;o de poss&#237;veis vieses nas an&#225;lises estat&#237;sticas, foram utilizados pesos de p&#243;s-estratifica&#231;&#227;o segundo sexo, idade, escolaridade e regi&#227;o.<xref ref-type="bibr" rid="B28"><sup>28</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B29"><sup>29</sup></xref> O procedimento de pondera&#231;&#227;o utilizou vari&#225;veis dispon&#237;veis na amostra e na popula&#231;&#227;o de refer&#234;ncia, obtidas de fontes externas, segundo dados do Censo 2010 do IBGE, para ajustar a distribui&#231;&#227;o da amostra coletada na pesquisa domiciliar com aquela verificada para o conjunto completo da popula&#231;&#227;o brasileira. A escolha das vari&#225;veis utilizadas na constru&#231;&#227;o dos pesos levou em considera&#231;&#227;o as caracter&#237;sticas da popula&#231;&#227;o exclu&#237;da, de forma a minimizar o v&#237;cio de representa&#231;&#227;o. Desta forma, utilizando os pesos de p&#243;s-estratifica&#231;&#227;o, a amostra do laborat&#243;rio torna-se representativa da popula&#231;&#227;o adulta brasileira.<xref ref-type="bibr" rid="B28"><sup>28</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B29"><sup>29</sup></xref>
			</p>
      <p>O sangue coletado no laborat&#243;rio foi centrifugado, e as amostras de soro e plasma, armazenadas em um refrigerador a 4 &#186;C, foram analisadas por equipamento automatizado (COBAS MIRA PLUS, Roche) regularmente calibrado. Dentre os exames coletados, a hemoglobina glicada (HbA1c) foi colhida em tubo com &#225;cido etilenodiamino tetra-ac&#233;tico (EDTA) e dosada por cromatografia l&#237;quida de alta performance por troca i&#244;nica (HPLC &#8212; High Pressure Liquid Chromatography). Utilizou-se o ponto de corte da Organiza&#231;&#227;o Mundial de Sa&#250;de (OMS), e a American Diabetes Association recomenda o valor de HbA1c &#8805; 6,5% para o diagn&#243;stico de diabetes mellitus (DM).<xref ref-type="bibr" rid="B29"><sup>29</sup></xref> O colesterol total (CT) e a lipoprote&#237;na de alta densidade (HDL &#8212; High-Density Lipoprotein) foram colhidos em tubo gel e calculados os valores para a popula&#231;&#227;o brasileira.<xref ref-type="bibr" rid="B30"><sup>30</sup></xref>
			</p>
      <p>A press&#227;o arterial foi mensurada ap&#243;s a explica&#231;&#227;o do procedimento ao paciente, que: deveria repousar ao menos cinco minutos em ambiente calmo; n&#227;o estar com a bexiga cheia; n&#227;o ter praticado exerc&#237;cios f&#237;sicos 60 a 90 minutos antes; n&#227;o ter ingerido bebidas alco&#243;licas, caf&#233; ou alimentos; n&#227;o ter fumado 30 minutos antes; manter pernas descruzadas, p&#233;s apoiados no ch&#227;o, dorso recostado na cadeira, relaxar e n&#227;o falar durante a aferi&#231;&#227;o.<xref ref-type="bibr" rid="B31"><sup>31</sup></xref> Ao todo, foram feitas tr&#234;s aferi&#231;&#245;es com intervalos de dois minutos entre elas, usando um esfigmoman&#244;metro de coluna de merc&#250;rio devidamente calibrado. Ao final, a m&#233;dia das tr&#234;s leituras foi registrada como valor definitivo para a an&#225;lise dos dados.</p>
      <p>O tabagismo foi avaliado a partir das seguintes perguntas: &#8220;Voc&#234; &#233; ou j&#225; foi fumante, ou seja, j&#225; fumou, ao longo da vida, pelo menos 100 cigarros?&#8221;; e &#8220;Quantos cigarros, atualmente, voc&#234; fuma por dia?&#8221;.</p>
      <p>A pontua&#231;&#227;o para estimar o RCV geral seguiu a proposta de Framingham<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> e considera sexo, idade, medida do colesterol total, colesterol HDL, medidas obtidas quando &#224; press&#227;o arterial tratada e n&#227;o tratada, fumante (sim ou n&#227;o), diabetes (sim ou n&#227;o). Foram realizados c&#225;lculos distintos para homens e mulheres, sendo calculados riscos espec&#237;ficos por sexo, idade e considerados os fatores de risco (FR) descritos abaixo.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Foram exclu&#237;dos da an&#225;lise indiv&#237;duos com idade inferior a 30 e superior a 74, mantendo os mesmos grupos et&#225;rios da coorte utilizada na estimativa do risco.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Da mesma forma, foram exclu&#237;dos da an&#225;lise indiv&#237;duos que declararam ter sido diagnosticados por um m&#233;dico com doen&#231;a do cora&#231;&#227;o ou acidente vascular cerebral (AVC).</p>
      <p>As pontua&#231;&#245;es consideraram a proposta de D&#8217;Agostino et al.,<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> detalhada em outra publica&#231;&#227;o,<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> e que foi adotada no Brasil, em 2013, pela Sociedade Brasileira de Cardiologia, denominada Escore de Risco Global (ERG).<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> A idade foi autorreferida pelo participante e considerou faixas de idade de 30 a 34, 35&#8211;39, 40&#8211;44, 45&#8211;49, 50&#8211;54, 55&#8211;59, 60&#8211;64, 65&#8211;69, 70&#8211;74, 75 anos ou mais. A pontua&#231;&#227;o entre homens varia de 0 a 15 pontos e entre mulheres, varia de 0 a 12 pontos.</p>
      <p>A pontua&#231;&#227;o dos fumantes do sexo masculino foi de 4 pontos e do sexo feminino foi de 3 pontos. A press&#227;o arterial (PA) atribui pontua&#231;&#227;o de modo diferenciado entre aqueles em tratamento e que n&#227;o estavam em tratamento medicamentoso, considerando a pergunta: &#8220;Voc&#234; usou rem&#233;dio para press&#227;o alta nos &#250;ltimos 15 dias?&#8221;. A pontua&#231;&#227;o entre homens variou de -2 a 3 (em tratamento) e de 0 a 4 (sem tratamento); entre mulheres, de -1 a 7 (em tratamento) e de -3 a 5 (sem tratamento).<xref ref-type="bibr" rid="B20"><sup>20</sup></xref>
			</p>
      <p>Em rela&#231;&#227;o aos exames laboratoriais, os pontos de corte e a pontua&#231;&#227;o foram:</p>
      <list list-type="alpha-lower">
        <list-item>
          <p>Diabetes: usou-se a medida da Hemoglobina Glicada (HbA1c &lt;6,5% = 0 para ambos os sexos; HbA1c &#8805; 6,5% para homens = 3 pontos; para mulheres = 4 pontos), ou o diagn&#243;stico da doen&#231;a por um m&#233;dico.</p>
        </list-item>
        <list-item>
          <p>Colesterol total (CT) para mulheres: CT&lt;160 mg/dl = 0 pontos, CT 60&#8211;199 mg/dl = 1 ponto, CT&#8805;200 -239 mg/dl = 3 pontos; CT &#8805;240 -279 mg/dl = 4 pontos, CT&#8805;280 = 5 pontos. Para homens: CT&lt;160 mg/dl = 0 pontos, CT 160&#8211;199 mg/dl = 1 ponto, CT&#8805;200 -239 mg/dl = 2 pontos; CT&#8805;240 -279 mg/dl = 3 pontos, CT&#8805;280 = 4 pontos.</p>
        </list-item>
        <list-item>
          <p>Colesterol HDL para homens: &#8805;60 mg/dL= -2 pontos, HDL 50&#8211;59 = -1 ponto, HDL 45&#8211;49= 0 ponto, 35&#8211;44= 1, &lt;35 mg/dL = 2 pontos. Para mulheres: &#8805;60 mg/dL= -2 pontos, HDL 50&#8211;59 mg/dL = -1 ponto, HDL 45&#8211;49 = 0 ponto, 35&#8211;44=1, &lt;35 mg/dL = 2 pontos.</p>
        </list-item>
      </list>
      <p>O estudo estimou o ERG geral para homens e mulheres e os respectivos intervalos de confian&#231;a (IC95%). As an&#225;lises foram realizadas no Stata, vers&#227;o 13. Conforme as diretrizes da Sociedade Brasileira de Cardiologia, utilizou-se os seguintes pontos de corte do risco cardiovascular em 10 anos: a) baixo RCV&lt;5%, m&#233;dio RCV (5 a &lt;20%) e alto RCV (&#8805;20%).<xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B32"><sup>32</sup></xref>
			</p>
      <p>O question&#225;rio da PNS e as vari&#225;veis j&#225; foram divulgados em publica&#231;&#245;es anteriores e maiores detalhes podem ser vistos em outras publica&#231;&#245;es.<xref ref-type="bibr" rid="B27"><sup>27</sup></xref> Conforme previsto no protocolo da pesquisa, todos os resultados de exames foram informados ao usu&#225;rio pelo laborat&#243;rio respons&#225;vel e, em casos de resultados alterados, os usu&#225;rios foram orientados a procurar assist&#234;ncia m&#233;dica na rede p&#250;blica e, em casos de risco extremo, os usu&#225;rios foram contatados diretamente pelo laborat&#243;rio conveniado ou pelo Minist&#233;rio da Sa&#250;de, visando o atendimento imediato.<xref ref-type="bibr" rid="B28"><sup>28</sup></xref>
			</p>
      <p>Ressalta-se ainda que a PNS foi aprovada pela Comiss&#227;o Nacional de &#201;tica em Pesquisa sob o n&#186; 328.159, de 26 de junho de 2013. Todos os indiv&#237;duos foram consultados, esclarecidos, e aceitaram participar da pesquisa.</p>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>O estudo mostra que, em mulheres, 58,4% apresentaram risco cardiovascular baixo, (&lt;5%); 32,9%, ERG m&#233;dio (5 a 19%) e 8,7%, ERG elevado (&gt;=20%). O ERG elevado em mulheres aumentou com a idade, passando de 0,1% entre 40 e 44 anos para 9,3% entre 50 e 54 anos, 10,6% entre 55 e 59 anos, 29% entre 60 e 64 anos, 29,9% entre 65 e 69 anos e 38,4% entre 70 e 74 anos. A diferen&#231;a no ERG segundo anos de escolaridade foi cerca de cinco vezes entre a escolaridade elevada (12 anos e mais de estudo) e &lt;8 anos de estudo (3,2%: IC95% 2,4&#8211;4,4 versus 15,7%: IC95% 13,5&#8211;18,3). Quem tem plano de sa&#250;de teve menor ERG, 5,4% (IC95% 3,9&#8211;7,3) versus 10,2% (IC95% 8,8&#8211;11,8) do que aqueles que n&#227;o t&#234;m. As mulheres de cor preta apresentaram maior propor&#231;&#227;o no grupo de risco mais elevado (&gt;=20%), 14,4% (IC95% 9,7&#8211;20,9), do que aquelas de cor branca, 7,3 (IC95% 5,8&#8211;9,1). A autoavalia&#231;&#227;o de sa&#250;de ruim mostrou o maior diferencial entre mulheres e apresentou gradiente, sendo os extremos: mulheres que se autoavaliam com sa&#250;de muito boa 2,9% (IC95% 1,3&#8211;3,6) e sa&#250;de muito ruim, 25,6% (12,7&#8211;45,0) (<xref ref-type="table" rid="t1">Tabela 1</xref>).</p>
      <table-wrap id="t1">
        <label>Tabela 1</label>
        <caption>
          <title>Distribui&#231;&#227;o proporcional das vari&#225;veis selecionadas por grupos de risco cardiovascular, mulheres, PNS 2013</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="14%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="center" colspan="2" rowspan="2" valign="middle">Vari&#225;vel</th>
              <th align="center" colspan="2" valign="middle">Menor 10%</th>
              <th align="center" colspan="2" valign="middle">Entre 11% e 20%</th>
              <th align="center" colspan="2" valign="middle">Maior igual 20%</th>
            </tr>
            <tr>
              <th align="center" valign="middle">n</th>
              <th align="center" valign="middle">%</th>
              <th align="center" valign="middle">n</th>
              <th align="center" valign="middle">%</th>
              <th align="center" valign="middle">n</th>
              <th align="center" valign="middle">%</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Mulheres</bold>
              </td>
              <td align="center" valign="middle">2092</td>
              <td align="center" valign="middle">58,4 (56,3; 60,5)</td>
              <td align="center" valign="middle">1180</td>
              <td align="center" valign="middle">32,9 (31; 35)</td>
              <td align="center" valign="middle">312</td>
              <td align="center" valign="middle">8,7 (7,6; 9,9)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Idade</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">30&#8211;34</td>
              <td align="center" valign="middle">564</td>
              <td align="center" valign="middle">100</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">35&#8211;39</td>
              <td align="center" valign="middle">482</td>
              <td align="center" valign="middle">94,1 (90,2; 96,5)</td>
              <td align="center" valign="middle">30</td>
              <td align="center" valign="middle">5.8 (3.4; 9.8)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0 (0; 0,3)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">40&#8211;44</td>
              <td align="center" valign="middle">404</td>
              <td align="center" valign="middle">84,9 (80,2; 88,6)</td>
              <td align="center" valign="middle">72</td>
              <td align="center" valign="middle">15 (11,3; 19,7)</td>
              <td align="center" valign="middle">1</td>
              <td align="center" valign="middle">0,1 (0; 0,9)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">45&#8211;49</td>
              <td align="center" valign="middle">353</td>
              <td align="center" valign="middle">70,3 (64,8; 75,3)</td>
              <td align="center" valign="middle">147</td>
              <td align="center" valign="middle">29,3 (24,3; 34,8)</td>
              <td align="center" valign="middle">2</td>
              <td align="center" valign="middle">0,4 (0,1; 1,6)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">50&#8211;54</td>
              <td align="center" valign="middle">161</td>
              <td align="center" valign="middle">39,2 (33,3; 45,5)</td>
              <td align="center" valign="middle">211</td>
              <td align="center" valign="middle">51,4 (45,2; 57,6)</td>
              <td align="center" valign="middle">38</td>
              <td align="center" valign="middle">9,3 (6,3; 13,7)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">55&#8211;59</td>
              <td align="center" valign="middle">87</td>
              <td align="center" valign="middle">22,1 (17,1; 28)</td>
              <td align="center" valign="middle">265</td>
              <td align="center" valign="middle">67,3 (61; 73)</td>
              <td align="center" valign="middle">42</td>
              <td align="center" valign="middle">10,6 (7,6; 14,7)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">60&#8211;64</td>
              <td align="center" valign="middle">28</td>
              <td align="center" valign="middle">9,3 (6,2; 13,6)</td>
              <td align="center" valign="middle">186</td>
              <td align="center" valign="middle">61,7 (54,8; 68,2)</td>
              <td align="center" valign="middle">87</td>
              <td align="center" valign="middle">29 (23; 35,9)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">65&#8211;69</td>
              <td align="center" valign="middle">12</td>
              <td align="center" valign="middle">4,5 (2,4; 8,5)</td>
              <td align="center" valign="middle">172</td>
              <td align="center" valign="middle">65,5 (58,2; 72,2)</td>
              <td align="center" valign="middle">79</td>
              <td align="center" valign="middle">29,9 (23,6; 37,2)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">70&#8211;74</td>
              <td align="center" valign="middle">2</td>
              <td align="center" valign="middle">1,5 (0,5; 4,1)</td>
              <td align="center" valign="middle">98</td>
              <td align="center" valign="middle">60,2 (50,5; 69,1)</td>
              <td align="center" valign="middle">63</td>
              <td align="center" valign="middle">38,4 (29,5; 48,1)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Escolaridade</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">0&#8211;8 anos</td>
              <td align="center" valign="middle">572</td>
              <td align="center" valign="middle">40,2 (37,1; 43,3)</td>
              <td align="center" valign="middle">628</td>
              <td align="center" valign="middle">44,1 (41; 47,2)</td>
              <td align="center" valign="middle">224</td>
              <td align="center" valign="middle">15,7 (13,5; 18,3)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">9 a 11</td>
              <td align="center" valign="middle">293</td>
              <td align="center" valign="middle">61,5 (55,3; 67,3)</td>
              <td align="center" valign="middle">151</td>
              <td align="center" valign="middle">31,6 (26,1; 37,7)</td>
              <td align="center" valign="middle">33</td>
              <td align="center" valign="middle">6,9 (4,5; 10,4)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">12 e mais</td>
              <td align="center" valign="middle">1227</td>
              <td align="center" valign="middle">72,9 (70; 75,7)</td>
              <td align="center" valign="middle">401</td>
              <td align="center" valign="middle">23,8 (21,2; 26,7)</td>
              <td align="center" valign="middle">54</td>
              <td align="center" valign="middle">3,2 (2,4; 4,4)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Cor</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Branca</td>
              <td align="center" valign="middle">1003</td>
              <td align="center" valign="middle">58,3 (55; 61,6)</td>
              <td align="center" valign="middle">591</td>
              <td align="center" valign="middle">34,4 (31,3; 37,6)</td>
              <td align="center" valign="middle">125</td>
              <td align="center" valign="middle">7,3 (5,8; 9,1)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Preta</td>
              <td align="center" valign="middle">169</td>
              <td align="center" valign="middle">49,8 (42,7; 56,9)</td>
              <td align="center" valign="middle">122</td>
              <td align="center" valign="middle">35,8 (29,4; 42,7)</td>
              <td align="center" valign="middle">49</td>
              <td align="center" valign="middle">14,4 (9,7; 20,9)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Parda</td>
              <td align="center" valign="middle">891</td>
              <td align="center" valign="middle">60,1 (57,2; 62,8)</td>
              <td align="center" valign="middle">457</td>
              <td align="center" valign="middle">30,8 (28,3; 33,5)</td>
              <td align="center" valign="middle">135</td>
              <td align="center" valign="middle">9,1 (7,6; 10,9)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Outras</td>
              <td align="center" valign="middle">30</td>
              <td align="center" valign="middle">69,4 (49,1; 84,2)</td>
              <td align="center" valign="middle">11</td>
              <td align="center" valign="middle">24,8 (11,4; 45,7)</td>
              <td align="center" valign="middle">2</td>
              <td align="center" valign="middle">5,9 (2,2; 14,8)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Regi&#227;o</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Norte</td>
              <td align="center" valign="middle">150</td>
              <td align="center" valign="middle">61,8 (58,5; 65)</td>
              <td align="center" valign="middle">63</td>
              <td align="center" valign="middle">29,5 (26,5; 32,6)</td>
              <td align="center" valign="middle">12</td>
              <td align="center" valign="middle">8,7 (7; 10,8)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Nordeste</td>
              <td align="center" valign="middle">561</td>
              <td align="center" valign="middle">54,8 (52,1; 57,4)</td>
              <td align="center" valign="middle">278</td>
              <td align="center" valign="middle">32,7 (30,3; 35,2)</td>
              <td align="center" valign="middle">85</td>
              <td align="center" valign="middle">12,6 (11; 14,4)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Sudeste</td>
              <td align="center" valign="middle">910</td>
              <td align="center" valign="middle">49,9 (46,2; 53,5)</td>
              <td align="center" valign="middle">578</td>
              <td align="center" valign="middle">36,3 (32,9; 39,9)</td>
              <td align="center" valign="middle">152</td>
              <td align="center" valign="middle">13,8 (11,6; 16,4)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Sul</td>
              <td align="center" valign="middle">308</td>
              <td align="center" valign="middle">50,7 (46,3; 55)</td>
              <td align="center" valign="middle">177</td>
              <td align="center" valign="middle">36,1 (32,1; 40,2)</td>
              <td align="center" valign="middle">46</td>
              <td align="center" valign="middle">13,3 (10,7; 16,3)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Centro-Oeste</td>
              <td align="center" valign="middle">164</td>
              <td align="center" valign="middle">54,9 (50,3; 59,5)</td>
              <td align="center" valign="middle">84</td>
              <td align="center" valign="middle">33,1 (28,9; 37,5)</td>
              <td align="center" valign="middle">16</td>
              <td align="center" valign="middle">12 (9,4; 15,2)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Plano de sa&#250;de</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">0(0;0)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">N&#227;o</td>
              <td align="center" valign="middle">1375</td>
              <td align="center" valign="middle">56 (53,5; 58,4)</td>
              <td align="center" valign="middle">830</td>
              <td align="center" valign="middle">33,8 (31,5; 36,2)</td>
              <td align="center" valign="middle">251</td>
              <td align="center" valign="middle">10,2 (8,8; 11,8)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Sim</td>
              <td align="center" valign="middle">717</td>
              <td align="center" valign="middle">63,6 (59,6; 67,4)</td>
              <td align="center" valign="middle">350</td>
              <td align="center" valign="middle">31,1 (27,4; 35)</td>
              <td align="center" valign="middle">60</td>
              <td align="center" valign="middle">5,4 (3,9; 7,3)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Autoavalia&#231;&#227;o</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Muito boa</td>
              <td align="center" valign="middle">313</td>
              <td align="center" valign="middle">73,4(67;78,9)</td>
              <td align="center" valign="middle">102</td>
              <td align="center" valign="middle">23,8(18,5;30)</td>
              <td align="center" valign="middle">12</td>
              <td align="center" valign="middle">2,9(1,3;6)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Boa</td>
              <td align="center" valign="middle">1188</td>
              <td align="center" valign="middle">67,3 (64,3; 70,1)</td>
              <td align="center" valign="middle">500</td>
              <td align="center" valign="middle">28,3 (25,6; 31,2)</td>
              <td align="center" valign="middle">78</td>
              <td align="center" valign="middle">4,4 (3,3; 5,8)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Regular</td>
              <td align="center" valign="middle">504</td>
              <td align="center" valign="middle">44,3 (40,9; 47,8)</td>
              <td align="center" valign="middle">469</td>
              <td align="center" valign="middle">41,2 (37,7; 44,8)</td>
              <td align="center" valign="middle">165</td>
              <td align="center" valign="middle">14,5 (12,1; 17,2)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Ruim</td>
              <td align="center" valign="middle">69</td>
              <td align="center" valign="middle">33,1 (26; 41,2)</td>
              <td align="center" valign="middle">94</td>
              <td align="center" valign="middle">45,1 (37,4; 53,1)</td>
              <td align="center" valign="middle">45</td>
              <td align="center" valign="middle">21,7 (15,9; 29)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Muito ruim</td>
              <td align="center" valign="middle">17</td>
              <td align="center" valign="middle">39,2 (24,5; 56,2)</td>
              <td align="center" valign="middle">16</td>
              <td align="center" valign="middle">35,1 (22,6; 50,2)</td>
              <td align="center" valign="middle">11</td>
              <td align="center" valign="middle">25,6 (12,7; 45)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <attrib>Fonte: Pesquisa Nacional de Sa&#250;de, 2013.</attrib>
        </table-wrap-foot>
      </table-wrap>
      <p>Entre homens, 36,5% apresentaram risco cardiovascular baixo (&lt;5%); 41,9%, ERG m&#233;dio (5 a 19%) e 21,6%, ERG elevado (&#8805; 20%). O ERG elevado em homens aumentou com a idade, passando de 1,0% entre 40 e 44 anos; 4,9% entre 45 e 49 anos; 17,1% entre 50 e 54 anos, 44,7% entre 55 e 59 anos; 61,5% entre 60 e 64 anos; 78,2% entre 65 e 69 anos; 91,9% ap&#243;s 70 a 74 anos. A diferen&#231;a no RCV segundo escolaridade foi de cerca de duas vezes, 13,8% (12 anos ou mais de estudo) e 29,8% (&lt;8 anos de estudo). N&#227;o foram identificadas diferen&#231;as no ERG segundo ra&#231;a e cor e posse de planos de sa&#250;de. A autoavalia&#231;&#227;o de sa&#250;de em homens tamb&#233;m apresentou gradiente: muito boa 11,4% (IC95% 8&#8211;15,9) e autoavalia&#231;&#227;o de sa&#250;de ruim 39,1% (IC95% 28,8&#8211;50,4) (<xref ref-type="table" rid="t2">Tabela 2</xref>).</p>
      <table-wrap id="t2">
        <label>Tabela 2</label>
        <caption>
          <title>Distribui&#231;&#227;o proporcional das vari&#225;veis selecionadas por grupos de risco cardiovascular, homens, PNS 2013</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="14%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="center" colspan="2" rowspan="2" valign="middle">Vari&#225;vel</th>
              <th align="center" colspan="2" valign="middle">Menor 10%</th>
              <th align="center" colspan="2" valign="middle">Entre 11% e 20%</th>
              <th align="center" colspan="2" valign="middle">Maior igual 20%</th>
            </tr>
            <tr>
              <th align="center" valign="middle">n</th>
              <th align="center" valign="middle">%</th>
              <th align="center" valign="middle">n</th>
              <th align="center" valign="middle">%</th>
              <th align="center" valign="middle">n</th>
              <th align="center" valign="middle">%</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Homens</bold>
              </td>
              <td align="center" valign="middle">950</td>
              <td align="center" valign="middle">36,5 (34,1; 39,1)</td>
              <td align="center" valign="middle">1088</td>
              <td align="center" valign="middle">41,9 (39,4; 44,4)</td>
              <td align="center" valign="middle">562</td>
              <td align="center" valign="middle">21,6 (19,7; 23,6)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Idade</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">30&#8211;34</td>
              <td align="center" valign="middle">390</td>
              <td align="center" valign="middle">96,4 (92,9; 98,2)</td>
              <td align="center" valign="middle">15</td>
              <td align="center" valign="middle">3,6 (1,8; 7,1)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">35&#8211;39</td>
              <td align="center" valign="middle">342</td>
              <td align="center" valign="middle">84,5 (78,9; 88,7)</td>
              <td align="center" valign="middle">63</td>
              <td align="center" valign="middle">15,5 (11,3; 21,1)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">40&#8211;44</td>
              <td align="center" valign="middle">139</td>
              <td align="center" valign="middle">38,2 (31,8; 45)</td>
              <td align="center" valign="middle">221</td>
              <td align="center" valign="middle">60,8 (53,9; 67,2)</td>
              <td align="center" valign="middle">4</td>
              <td align="center" valign="middle">1 (0,4; 2,4)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">45&#8211;49</td>
              <td align="center" valign="middle">63</td>
              <td align="center" valign="middle">18,7 (13,9; 24,6)</td>
              <td align="center" valign="middle">258</td>
              <td align="center" valign="middle">76,4 (70,2; 81,7)</td>
              <td align="center" valign="middle">16</td>
              <td align="center" valign="middle">4,9 (2,7; 8,5)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">50&#8211;54</td>
              <td align="center" valign="middle">17</td>
              <td align="center" valign="middle">5,1 (3; 8,6)</td>
              <td align="center" valign="middle">250</td>
              <td align="center" valign="middle">77,7 (71,7; 82,7)</td>
              <td align="center" valign="middle">55</td>
              <td align="center" valign="middle">17,1 (12,7; 22,8)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">55&#8211;59</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">142</td>
              <td align="center" valign="middle">55,3 (47,4; 62,9)</td>
              <td align="center" valign="middle">115</td>
              <td align="center" valign="middle">44,7 (37,1; 52,6)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">60&#8211;64</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">99</td>
              <td align="center" valign="middle">38,5 (31,3; 46,2)</td>
              <td align="center" valign="middle">158</td>
              <td align="center" valign="middle">61,5 (53,8; 68,7)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">65&#8211;69</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">33</td>
              <td align="center" valign="middle">21,8 (15,7; 29,4)</td>
              <td align="center" valign="middle">118</td>
              <td align="center" valign="middle">78,2 (70,6; 84,3)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">70&#8211;74</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">8</td>
              <td align="center" valign="middle">8,1 (4,2; 15,2)</td>
              <td align="center" valign="middle">95</td>
              <td align="center" valign="middle">91,9 (84,8; 95,8)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Escolaridade</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">0&#8211;8 anos</td>
              <td align="center" valign="middle">237</td>
              <td align="center" valign="middle">21,8 (19,1; 24,8)</td>
              <td align="center" valign="middle">525</td>
              <td align="center" valign="middle">48,4 (44,8; 51,9)</td>
              <td align="center" valign="middle">324</td>
              <td align="center" valign="middle">29,8 (26,8; 33,1)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">9 a 11</td>
              <td align="center" valign="middle">163</td>
              <td align="center" valign="middle">41,8 (35,1; 48,8)</td>
              <td align="center" valign="middle">145</td>
              <td align="center" valign="middle">37,1 (30,7; 44)</td>
              <td align="center" valign="middle">82</td>
              <td align="center" valign="middle">21,1 (16,2; 27)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">12 e mais</td>
              <td align="center" valign="middle">550</td>
              <td align="center" valign="middle">48,9 (44,8; 53,1)</td>
              <td align="center" valign="middle">418</td>
              <td align="center" valign="middle">37,2 (33,3; 41,3)</td>
              <td align="center" valign="middle">155</td>
              <td align="center" valign="middle">13,8 (11,4; 16,7)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Cor</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Branca</td>
              <td align="center" valign="middle">408</td>
              <td align="center" valign="middle">33,5 (29,8; 37,5)</td>
              <td align="center" valign="middle">532</td>
              <td align="center" valign="middle">43,7 (39,8; 47,7)</td>
              <td align="center" valign="middle">277</td>
              <td align="center" valign="middle">22,8 (19,8; 26,1)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Preta</td>
              <td align="center" valign="middle">92</td>
              <td align="center" valign="middle">34 (26,8; 42,1)</td>
              <td align="center" valign="middle">129</td>
              <td align="center" valign="middle">47,9 (39,6; 56,3)</td>
              <td align="center" valign="middle">49</td>
              <td align="center" valign="middle">18,1 (12,7; 25)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Parda</td>
              <td align="center" valign="middle">441</td>
              <td align="center" valign="middle">40,5 (36,8; 44,2)</td>
              <td align="center" valign="middle">415</td>
              <td align="center" valign="middle">38,2 (34,8; 41,6)</td>
              <td align="center" valign="middle">233</td>
              <td align="center" valign="middle">21,4 (18,8; 24,3)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Outras</td>
              <td align="center" valign="middle">10</td>
              <td align="center" valign="middle">41,1 (23,1; 61,9)</td>
              <td align="center" valign="middle">12</td>
              <td align="center" valign="middle">47,4 (27; 68,7)</td>
              <td align="center" valign="middle">3</td>
              <td align="center" valign="middle">11,5 (4,9; 24,7)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Regi&#227;o</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Norte</td>
              <td align="center" valign="middle">70</td>
              <td align="center" valign="middle">39,7 (35,7; 43,7)</td>
              <td align="center" valign="middle">78</td>
              <td align="center" valign="middle">44,3 (40,3; 48,3)</td>
              <td align="center" valign="middle">28</td>
              <td align="center" valign="middle">16,1 (13,4; 19,2)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Nordeste</td>
              <td align="center" valign="middle">274</td>
              <td align="center" valign="middle">40,2 (36,9; 43,6)</td>
              <td align="center" valign="middle">283</td>
              <td align="center" valign="middle">41,6 (38,4; 45)</td>
              <td align="center" valign="middle">124</td>
              <td align="center" valign="middle">18,2 (15,7; 20,9)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Sudeste</td>
              <td align="center" valign="middle">391</td>
              <td align="center" valign="middle">34,2 (29,6; 39,2)</td>
              <td align="center" valign="middle">463</td>
              <td align="center" valign="middle">40,5 (35,8; 45,4)</td>
              <td align="center" valign="middle">288</td>
              <td align="center" valign="middle">25,2 (21,6; 29,3)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Sul</td>
              <td align="center" valign="middle">143</td>
              <td align="center" valign="middle">35,9 (30,3; 42)</td>
              <td align="center" valign="middle">170</td>
              <td align="center" valign="middle">42,9 (37,2; 48,8)</td>
              <td align="center" valign="middle">84</td>
              <td align="center" valign="middle">21,2 (17,1; 25,9)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Centro-Oeste</td>
              <td align="center" valign="middle">72</td>
              <td align="center" valign="middle">35,8 (30; 41,9)</td>
              <td align="center" valign="middle">93</td>
              <td align="center" valign="middle">45,9 (40,1; 51,8)</td>
              <td align="center" valign="middle">37</td>
              <td align="center" valign="middle">18,3 (14,4; 23)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Plano de sa&#250;de</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">N&#227;o</td>
              <td align="center" valign="middle">649</td>
              <td align="center" valign="middle">34,9 (32,1; 37,8)</td>
              <td align="center" valign="middle">790</td>
              <td align="center" valign="middle">42,6 (39,7; 45,4)</td>
              <td align="center" valign="middle">418</td>
              <td align="center" valign="middle">22,5 (20,3; 24,9)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Sim</td>
              <td align="center" valign="middle">302</td>
              <td align="center" valign="middle">40,6 (35,5; 45,9)</td>
              <td align="center" valign="middle">298</td>
              <td align="center" valign="middle">40,1 (35,1; 45,3)</td>
              <td align="center" valign="middle">143</td>
              <td align="center" valign="middle">19,3 (15,7; 23,5)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Autoavalia&#231;&#227;o</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Muito boa</td>
              <td align="center" valign="middle">210</td>
              <td align="center" valign="middle">52,8 (45,7; 59,8)</td>
              <td align="center" valign="middle">143</td>
              <td align="center" valign="middle">35,8 (29,5; 42,7)</td>
              <td align="center" valign="middle">45</td>
              <td align="center" valign="middle">11,4 (8; 15,9)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Boa</td>
              <td align="center" valign="middle">566</td>
              <td align="center" valign="middle">41 (37,5; 44,6)</td>
              <td align="center" valign="middle">562</td>
              <td align="center" valign="middle">40,7 (37,3; 44,2)</td>
              <td align="center" valign="middle">254</td>
              <td align="center" valign="middle">18,4 (15,9; 21,1)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Regular</td>
              <td align="center" valign="middle">159</td>
              <td align="center" valign="middle">22,7 (19,2; 26,7)</td>
              <td align="center" valign="middle">323</td>
              <td align="center" valign="middle">46,2 (41,6; 50,8)</td>
              <td align="center" valign="middle">218</td>
              <td align="center" valign="middle">31,1 (27,1; 35,4)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Ruim</td>
              <td align="center" valign="middle">13</td>
              <td align="center" valign="middle">13,3 (8,4; 20,5)</td>
              <td align="center" valign="middle">46</td>
              <td align="center" valign="middle">47,6 (36,3; 59,2)</td>
              <td align="center" valign="middle">37</td>
              <td align="center" valign="middle">39,1 (28,8; 50,4)</td>
            </tr>
            <tr>
              <td align="center" valign="middle"/>
              <td align="left" valign="middle">Muito ruim</td>
              <td align="center" valign="middle">2</td>
              <td align="center" valign="middle">7,6 (2,2; 22,7)</td>
              <td align="center" valign="middle">14</td>
              <td align="center" valign="middle">61,3 (39,1; 79,7)</td>
              <td align="center" valign="middle">7</td>
              <td align="center" valign="middle">31,1 (14,7; 54,2)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <attrib>Fonte: Pesquisa Nacional de Sa&#250;de, 2013.</attrib>
        </table-wrap-foot>
      </table-wrap>
      <p>A <xref ref-type="fig" rid="f1">Figura 1</xref> mostra a distribui&#231;&#227;o proporcional dos componentes do modelo de Framingham por grupos de risco, que contribu&#237;ram positivamente (maior que zero) para a pontua&#231;&#227;o total atribu&#237;da. No risco elevado entre mulheres, os indicadores que mais contribu&#237;ram para o ERG foram: press&#227;o arterial sist&#243;lica (97,7%), colesterol total (91,3%), diabetes (62,8%), HDL (60,6%) e, por &#250;ltimo, o tabagismo. Entre homens: colesterol total (85%), press&#227;o arterial sist&#243;lica (84,3%), HDL (76,2%), tabagismo (39,9%) e diabetes (24,7%).</p>
      <fig id="f1">
        <label>Figura 1</label>
        <caption>
          <title>Distribui&#231;&#227;o proporcional dos componentes do modelo de Framingham por grupos de risco alto, m&#233;dio, baixo, respectivamente, por sexo, PNS, 2013.</title>
        </caption>
        <attrib>Fonte: Pesquisa Nacional de Sa&#250;de, 2013.</attrib>
        <graphic xlink:href="1678-4170-abc-116-03-0423-90861-gf01.jpg"/></fig>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>Este constitui o primeiro estudo nacional de base populacional a estimar o ERG para a popula&#231;&#227;o adulta brasileira utilizando dados laboratoriais. Para o c&#225;lculo, foram empregados algoritmos propostos por D&#8217;Agostino et al.,<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> a partir do estudo de Framingham. Esses modelos foram estimados por meio de fun&#231;&#245;es matem&#225;ticas para estimar o risco absoluto de DCV em 10 anos.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> O ERG elevado (&gt;=20%) foi encontrado em cerca de 8,7% das mulheres e em cerca de um quinto dos homens. O ERG aumentou com a idade, atingindo cerca de 40% das mulheres entre 70 e 74 anos e quase a totalidade dos homens nessa faixa. O risco quadriplicou entre mulheres de baixa escolaridade e dobrou entre homens. Cabe salientar que h&#225; maior concentra&#231;&#227;o de indiv&#237;duos com ERG maior que 20% nos grupos menos escolarizados e mais velhos. &#201; prov&#225;vel que parte dessa concentra&#231;&#227;o seja um efeito de coorte, uma vez que, em m&#233;dia, os indiv&#237;duos mais velhos s&#227;o menos escolarizados que os grupos mais jovens.<xref ref-type="bibr" rid="B33"><sup>33</sup></xref> Nesse sentido, uma parcela importante da concentra&#231;&#227;o de indiv&#237;duos menos escolarizados no grupo de risco mais elevado pode ser explicada pela idade mais avan&#231;ada do grupo e vice-versa. Outras an&#225;lises, que fogem do escopo do presente trabalho, podem separar os efeitos.</p>
      <p>Em rela&#231;&#227;o &#224;s brancas, apenas as mulheres negras apresentaram maior propor&#231;&#227;o no grupo de maior risco. Surpreende a n&#227;o identifica&#231;&#227;o de diferen&#231;a (estatisticamente significativa) por ra&#231;a/cor do percentual de homens com ERG elevado. &#201; prov&#225;vel que parte do potencial diferencial por ra&#231;a tenha sido captado por outras vari&#225;veis correlacionadas como, por exemplo, a idade e a escolaridade. Na amostra, a popula&#231;&#227;o masculina de cor branca, comparada a pretos e pardos, apresenta maior concentra&#231;&#227;o relativa em idades mais velhas. Entre mulheres, foi mais elevado o risco entre as que n&#227;o t&#234;m plano de sa&#250;de e observou-se gradiente dose-resposta entre RCV e autoavalia&#231;&#227;o de sa&#250;de, chegando a ser mais de oito vezes mais elevado entre a avalia&#231;&#227;o muito boa e muito ruim e, entre homens, essa diferen&#231;a foi de cerca de 3 vezes. Os fatores que mais frequentemente contribu&#237;ram com o ERG elevado foram a idade, press&#227;o arterial e colesterol elevado.</p>
      <p>V&#225;rias calculadoras de avalia&#231;&#227;o de risco foram desenvolvidas para a estimativa do risco de cardiovascular a partir dos estudos de Framingham. O escore atual foi revisado em 2008<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> e incluiu par&#226;metros cl&#237;nicos cardiovasculares adicionais e, embora esse modelo de risco forne&#231;a uma estimativa melhorada das DCV, ele ainda sofre com alguns desafios e subestima o risco em mulheres.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> A classifica&#231;&#227;o empregada neste estudo utiliza modelos de Cox e covari&#225;veis como idade, colesterol total, colesterol HDL, press&#227;o arterial sist&#243;lica tratada e n&#227;o tratada, uso de medicamento anti-hipertensivo, tabagismo atual e status de diabetes para o c&#225;lculo do RCV.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Os autores transformaram as vari&#225;veis cont&#237;nuas em logar&#237;tmicas para melhorar a discrimina&#231;&#227;o e calibra&#231;&#227;o dos modelos e para minimizar a influ&#234;ncia de observa&#231;&#245;es extremas.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref>
			</p>
      <p>Esses algoritmos foram recomendados pela Sociedade Brasileira de Cardiologia na I Diretriz Brasileira de Preven&#231;&#227;o Cardiovascular<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> e agregam vantagens na identifica&#231;&#227;o de ERG, selecionando indiv&#237;duos priorit&#225;rios para interven&#231;&#227;o, com m&#250;ltiplos fatores de risco, evitando identificar desnecessariamente pessoas com apenas um risco isolado.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Essas estimativas da DCV global apoiam a identifica&#231;&#227;o de pacientes eleitos para medidas de preven&#231;&#227;o e tratamento, tornando-se medidas custo-efetivas,<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> sendo &#250;til para aplica&#231;&#227;o na aten&#231;&#227;o prim&#225;ria.</p>
      <p>O algoritmo proposto classifica segundo sexo, aumentando a pontua&#231;&#227;o de risco com o aumento da idade, para o h&#225;bito de fumar, press&#227;o arterial (PA) n&#227;o tratada e diabetes.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Entre mulheres, o algoritmo aumenta nas faixas et&#225;rias p&#243;s-menopausa e eleva o risco para fatores como fumo e diabetes. Mesmo empregando pontua&#231;&#245;es mais elevadas para as mulheres, o ERG foi duas vezes mais elevado entre homens.</p>
      <p>No Brasil, alguns estudos mediram o RCV entre adultos e idosos, empregando a calculadora de Framingham<xref ref-type="bibr" rid="B34"><sup>34</sup></xref> como a coorte de Bambu&#237;. Foram avaliados (n=547 entre 30&#8211;59 anos) e toda a popula&#231;&#227;o idosa (n=1165, 60&#8211;74 anos), com RCV entre idosos de 56% entre homens e 21% entre mulheres.<xref ref-type="bibr" rid="B35"><sup>35</sup></xref> Outro estudo nacional, que avaliou cerca de 15.000 indiv&#237;duos atendidos no servi&#231;o de check-up do Centro de Medicina Preventiva do Hospital Israelita Albert Einstein entre 2009 e 2015, tamb&#233;m identificou propor&#231;&#245;es semelhantes. O RCV elevado em mulheres foi de 12,3% e entre homens foi de 40,1%.<xref ref-type="bibr" rid="B23"><sup>23</sup></xref>
			</p>
      <p>O risco cardiovascular mais elevado entre homens reflete a presen&#231;a de estilos de vida menos saud&#225;veis como tabagismo, alimenta&#231;&#227;o inadequada, consumo de &#225;lcool, baixa procura de servi&#231;os de sa&#250;de, n&#227;o uso de medicamentos, o que j&#225; foi documentado em diversos outros estudos nacionais.<xref ref-type="bibr" rid="B35"><sup>35</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B37"><sup>37</sup></xref>
			</p>
      <p>O aumento do risco com a idade tem sido atribu&#237;do ao envelhecimento, aumento da PA, que pode afetar cerca de 60% dos idosos, segundo dados da PNS.<xref ref-type="bibr" rid="B31"><sup>31</sup></xref> As explica&#231;&#245;es seriam as altera&#231;&#245;es inerentes ao envelhecimento, com maior enrijecimento das art&#233;rias, maior resist&#234;ncia vascular perif&#233;rica e comorbidades entre os idosos<xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B38"><sup>38</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B40"><sup>40</sup></xref>
			</p>
      <p>No caso das mulheres, a eleva&#231;&#227;o do ERG na faixa et&#225;ria ap&#243;s a menopausa decorre da perda do efeito protetor hormonal nessa &#233;poca da vida. O aumento da hipertens&#227;o em mulheres tamb&#233;m tem sido descrito pelo crescimento da obesidade central com o aumento da idade.<xref ref-type="bibr" rid="B31"><sup>31</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B40"><sup>40</sup></xref>
			</p>
      <p>Diversos estudos tamb&#233;m indicaram que a detec&#231;&#227;o, tratamento e controle da press&#227;o arterial alta s&#227;o fundamentais para reduzir a incid&#234;ncia de eventos cardiovasculares<xref ref-type="bibr" rid="B41"><sup>41</sup></xref> O estudo de Framingham apontou que a press&#227;o elevada aumenta a chance de eventos cardiovasculares, sendo ainda mais elevada na aus&#234;ncia de tratamento.</p>
      <p>O ERG aumenta com o tabagismo,<xref ref-type="bibr" rid="B9"><sup>9</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B21"><sup>21</sup></xref> o que j&#225; e altamente documentado na literatura, incluindo os estudos de Framingham.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B22"><sup>22</sup></xref> As diretrizes cardiovasculares recomendam fortemente a cessa&#231;&#227;o do tabagismo como medida priorit&#225;ria na preven&#231;&#227;o secund&#225;ria das doen&#231;as cardiovasculares e outras doen&#231;as cr&#244;nicas n&#227;o transmiss&#237;veis (DCNT).<xref ref-type="bibr" rid="B21"><sup>21</sup></xref>
			</p>
      <p>Indiv&#237;duos que se autopercebem com sa&#250;de ruim ou muito ruim mostraram RCV quase oito vezes mais elevado entre mulheres e tr&#234;s vezes entre homens. A autoavalia&#231;&#227;o de sa&#250;de constitui um excelente preditor de mortalidade e de eventos graves, tanto em estudos internacionais<xref ref-type="bibr" rid="B42"><sup>42</sup></xref> quanto em nacionais,<xref ref-type="bibr" rid="B43"><sup>43</sup></xref> devido &#224; percep&#231;&#227;o de risco do indiv&#237;duo, em fun&#231;&#227;o de sintomas, mudan&#231;as implementadas no estilo de vida em fun&#231;&#227;o da doen&#231;a, como maior frequ&#234;ncia aos servi&#231;os de sa&#250;de, consultas m&#233;dicas, uso de medicamentos e tamb&#233;m limita&#231;&#227;o das atividades di&#225;rias.<xref ref-type="bibr" rid="B43"><sup>43</sup></xref>
			</p>
      <p>O estudo aponta maior ERG em indiv&#237;duos com baixa escolaridade, o que j&#225; foi identificado em outros estudos internacionais<xref ref-type="bibr" rid="B44"><sup>44</sup></xref> e nacionais como o ELSA.<xref ref-type="bibr" rid="B45"><sup>45</sup></xref> As adversidades socioecon&#244;micas t&#234;m forte associa&#231;&#227;o com morbimortalidade por doen&#231;a cardiovascular (DCV),<xref ref-type="bibr" rid="B46"><sup>46</sup></xref> aterosclerose subcl&#237;nica, manifesta&#231;&#245;es piores, indicadores metab&#243;licos,<xref ref-type="bibr" rid="B47"><sup>47</sup></xref> consequ&#234;ncia das desvantagens socioecon&#244;micas, adversidades na inf&#226;ncia,<xref ref-type="bibr" rid="B45"><sup>45</sup></xref> pior acesso a servi&#231;os de sa&#250;de e pr&#225;ticas de promo&#231;&#227;o a sa&#250;de e preven&#231;&#227;o.<xref ref-type="bibr" rid="B48"><sup>48</sup></xref> Nesse sentido, os resultados refor&#231;am a import&#226;ncia de se levar considera&#231;&#227;o vari&#225;veis socioecon&#244;micas no planejamento de pol&#237;ticas p&#250;blicas de preven&#231;&#227;o de DCV.</p>
      <p>Dentre os limites do estudo, cita-se o emprego de algoritmos a partir do estudo de Framingham. Pelo fato de o estudo de Framingham ter sido realizado h&#225; v&#225;rias d&#233;cadas, pode ter ocorrido mudan&#231;a nos riscos para DCV, al&#233;m de n&#227;o refletir necessariamente o que ocorre em outras popula&#231;&#245;es em fun&#231;&#227;o de diferen&#231;as &#233;tnicas, culturais e outras.<xref ref-type="bibr" rid="B22"><sup>22</sup></xref> Outra limita&#231;&#227;o consiste na n&#227;o inclus&#227;o no c&#225;lculo de outros fatores de risco como dieta, peso corp&#243;reo, atividade f&#237;sica, condi&#231;&#245;es clinicas e uso de medica&#231;&#227;o para controle de colesterol.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B24"><sup>24</sup></xref> Por tratar-se de um desenho transversal, n&#227;o sendo poss&#237;vel acompanhar os desfechos futuros como nos estudos longitudinais. A base laboratorial utilizada apresentou perdas amostrais, que foram minimizadas pelas pondera&#231;&#245;es utilizadas. Entretanto, os v&#237;cios podem n&#227;o ter sido corrigidos, estando as estimativas sujeitas a revis&#227;o em estudos futuros.</p>
      <p>No Brasil, o estudo longitudinal de sa&#250;de do adulto (Elsa, Brasil), que usou calculadoras distintas, calculou o risco cardiovascular em 10 anos em 6,9% e 7,6%.<xref ref-type="bibr" rid="B42"><sup>42</sup></xref> Essas diferentes classifica&#231;&#245;es apontam a necessidade de explorar em pr&#243;ximos estudos outras classifica&#231;&#245;es de risco cardiovascular, incluindo nos escores outros fatores de risco como: obesidade abdominal, alimenta&#231;&#227;o inadequada, inatividade f&#237;sica.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B49"><sup>49</sup></xref>
			</p>
      <p>As calculadoras de risco cardiovascular t&#234;m sido amplamente utilizadas para identificar popula&#231;&#245;es em risco e que devam ser alvo de medidas de promo&#231;&#227;o, preven&#231;&#227;o e tratamento. Os protocolos podem variar conforme o consenso dos especialistas, mas em todos eles se recomendam medidas de alimenta&#231;&#227;o saud&#225;vel, incluindo consumo de frutas e hortali&#231;as, redu&#231;&#227;o de sal, gordura e a&#231;&#250;car, cessar o tabagismo, incluindo abordagens de aconselhamento e/ou medicamentosa, conforme o caso, reduzir o uso de &#225;lcool, atividade f&#237;sica, abordagem para obesidade e excesso de pesos, tratamento n&#227;o medicamentoso combinado com medicamentoso para pacientes com hipertens&#227;o, diabetes, colesterol elevado e outras altera&#231;&#245;es, dependendo das caracter&#237;sticas espec&#237;ficas.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> Essas abordagens devem ser monitoradas, definindo-se o alvo terap&#234;utico e monitorando-se a evolu&#231;&#227;o.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>O estudo identifica o EGR em 10 anos na popula&#231;&#227;o adulta brasileira sendo estimado o risco de 8,7 % entre mulheres e 21,6% entre homens. Indiv&#237;duos com alto RCV requerem modifica&#231;&#227;o mais agressiva nos fatores de risco.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> O EGR poderia ser usado ainda para monitorar os progressos de pacientes em tratamento e melhora em suas pontua&#231;&#245;es de risco. Esses dados apontam a necessidade de avan&#231;ar em a&#231;&#245;es preventivas, principalmente dirigir estrat&#233;gias populacionais em busca de popula&#231;&#245;es de alto risco, que em geral incluem abordagens medicamentosas e n&#227;o medicamentosas.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure" id="fn1">
        <p>
          <bold>Fontes de financiamento</bold>
        </p>
        <p>Este estudo foi financiado pelo Minist&#233;rio da Sa&#250;de TED 148/2018.</p>
      </fn>
      <fn fn-type="other" id="fn2">
        <p>
          <bold>Associa&#231;&#227;o de Estudos</bold>
        </p>
        <p>Este estudo n&#227;o est&#225; associado a nenhum trabalho de tese ou disserta&#231;&#227;o.</p>
      </fn>
    </fn-group>
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  <sub-article article-type="translation" id="S01" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Cardiovascular Risk Estimates in Ten Years in the Brazilian Population, a Population-Based Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8214-5734</contrib-id>
          <name>
            <surname>Malta</surname>
            <given-names>Deborah Carvalho</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c2"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6954-1708</contrib-id>
          <name>
            <surname>Pinheiro</surname>
            <given-names>Pedro Cisalpino</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Teixeira</surname>
            <given-names>Renato Azeredo</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4678-2074</contrib-id>
          <name>
            <surname>Machado</surname>
            <given-names>Isis Eloah</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0522-0374</contrib-id>
          <name>
            <surname>Santos</surname>
            <given-names>Filipe Malta dos</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2740-0042</contrib-id>
          <name>
            <surname>Ribeiro</surname>
            <given-names>Ant&#244;nio Luiz Pinho</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
        </contrib>
        <aff id="aff3">
          <label>1</label>
          <addr-line>
            <named-content content-type="city">Belo Horizonte</named-content>
            <named-content content-type="state">MG</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade Federal de Minas Gerais, Belo Horizonte, MG - Brazil.</institution>
        </aff>
        <aff id="aff4">
          <label>2</label>
          <addr-line>
            <named-content content-type="city">Ouro Preto</named-content>
            <named-content content-type="state">MG</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade Federal de Ouro Preto, Ouro Preto, MG - Brazil.</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c2"><bold>Mailing Address: Deborah Carvalho Malta</bold> &#8226; Universidade Federal de Minas Gerais - Escola de Enfermagem - Professor Alfredo Balena, 190. Postal Code <postal-code>30130-100</postal-code>, Belo Hor zonte, MG &#8211; Brazil, E-mail: <email>dcmalta@uol.com.br</email>
				</corresp>
        <fn fn-type="con">
          <p>
            <bold>Authors&#8217; contributions</bold>
          </p>
          <p>Conception and design of research, Analysis and interpretation data and Critical revision of the manuscript for content: Malta DC, Pinheiro PC, Teixeira RA, Machado IE, Santos FM, Ribeiro AL; Obtaining data and Writing the manuscript: Malta DC, Pinheiro PC; Statistical analysis: Pinheiro PC, Teixeira RA; Obtaining financing: Malta DC.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>Cardiovascular diseases are the leading cause of morbidity and mortality, resulting in high health costs and significant economic losses. The Framingham score has been widely used to stratify the cardiovascular risk of the individuals, identifying those at higher risk for the implementation of prevention measures directed to this group.</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>To estimate cardiovascular risk at 10 years in the adult Brazilian population.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>Cross-sectional study using laboratory data from a subsample of the National Health Survey. To calculate cardiovascular risk, the Framingham score stratified by sex was used.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>Most women (58.4%) had low cardiovascular risk, 32.9% had medium risk and 8.7% had high risk. Among men, 36.5% had low cardiovascular risk, 41.9% had medium risk and 21.6% had high risk. The risk increased with age and was high in the low-educated population. The proportion of the components of the Framingham model, by risk and sex, shows that, among women at high risk, the indicators that mostly contributed to cardiovascular risk were: systolic blood pressure, total cholesterol, HDL, diabetes and tobacco. Among men, systolic blood pressure, total cholesterol, HDL, tobacco and diabetes.</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>The study estimates, for the first time in Brazil, the risk of developing cardiovascular disease in ten years. The risk score is useful to support the prevention practices of these diseases, considering the clinical and epidemiological context.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Cardiovascular Diseases</kwd>
        <kwd>Risk Factors</kwd>
        <kwd>Cholesterol</kwd>
        <kwd>Atherosclerosis</kwd>
        <kwd>Diabetes Mellitus</kwd>
        <kwd>Hypertension</kwd>
        <kwd>Epidemiology</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>Minist&#233;rio da Sa&#250;de</funding-source>
          <award-id>TED 148/2018</award-id>
        </award-group>
        <funding-statement>This study was funded by Minist&#233;rio da Sa&#250;de TED 148/2018.</funding-statement>
      </funding-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Cardiovascular diseases (CVD) were responsible for approximately 17.9 million deaths in 2016, nearly 31% of the total deaths worldwide, constituting the most frequent cause of morbidity and mortality rates.<xref ref-type="bibr" rid="B1"><sup>1</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B3"><sup>3</sup></xref> Also in Brazil, in 2016, CVDs presented the highest mortality rates and disability-adjusted life years (DALYs), in both sexes.<xref ref-type="bibr" rid="B4"><sup>4</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B5"><sup>5</sup></xref> CVDs also stand out due to their high hospitalization and treatment costs in the Brazilian public health system (SUS, in Portuguese), in addition to the indirect costs caused by the reduction in productivity, medical leave from work, and the negative effects upon the quality of life of the affected individuals and their family members.<xref ref-type="bibr" rid="B6"><sup>6</sup></xref>
				</p>
        <p>The Framingham Heart Study (a cohort study), which began in 1948, was the first to identify the association between the main risk factors (RF) (hypertension, high cholesterol levels and smoking) and coronary disease.<xref ref-type="bibr" rid="B7"><sup>7</sup></xref> In the sequence of these findings, guidelines and protocols arose, which focused on a single RF, such as hypertension,<xref ref-type="bibr" rid="B8"><sup>8</sup></xref> or cholesterol,<xref ref-type="bibr" rid="B9"><sup>9</sup></xref> for the prevention of CVD. In 1993, studies from New Zealand were the first to use multiple risk factors in determining cardiovascular risk.<xref ref-type="bibr" rid="B10"><sup>10</sup></xref> Conducted by the Framingham team, the studies proposed a systematization by sex and age range, which predicted the risk of coronary disease development in the coming decade, considering the scores calculated using systolic blood pressure, total cholesterol, HDL cholesterol, diabetes, and smoking.<xref ref-type="bibr" rid="B10"><sup>10</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B11"><sup>11</sup></xref>
				</p>
        <p>The proposal of Framingham algorithms to predict CVD was incorporated into the Third Report of the Panel of Specialists in the detection, evaluation and treatment of high cholesterol (Adult Treatment Panel III), in 2001.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> What followed was the validation of these algorithms in black and white individuals in the United States,<xref ref-type="bibr" rid="B13"><sup>13</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B14"><sup>14</sup></xref> in various populations of Europe, the Mediterranean region, Asia, and throughout the world, with good outcomes.<xref ref-type="bibr" rid="B15"><sup>15</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B19"><sup>19</sup></xref>
				</p>
        <p>Other adaptations followed, most notably for the Overall Cardiovascular Risk, in 2008, proposed by the Framingham group,<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> seeking to estimate the risk of cardiovascular events over a 10-year period, such as coronary artery disease (CAD), stroke, occlusive peripheral arterial disease (OPAD) or heart failure, over a 10-year period.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> This score has been frequently used worldwide and has also been used in Brazil, following Brazilian guidelines, to understand and estimate the absolute CV risk over a 10-year period.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> These scores allow for preventive actions, especially since they guide the population-based strategy to search for and identify high risk, seeking opportunities for their prevention.<xref ref-type="bibr" rid="B22"><sup>22</sup></xref>
				</p>
        <p>In an attempt to understand the health profile of the Brazilian population, the Ministry of Health and the Brazilian Institute of Geography and Statistics (IBGE) conducted the National Health Survey (NHS), a broad household survey that gathered information on a national scale about the population. This questionnaire included information about CVD risk factors. In 2014 and 2015, laboratory exams were collected to make advancements in cardiovascular risk (CVR) assessments representative of the Brazilian population, considering that previous estimations have been based on specific population studies, such as hospital studies<xref ref-type="bibr" rid="B23"><sup>23</sup></xref> or cohort studies among employees from Brazilian universities.<xref ref-type="bibr" rid="B24"><sup>24</sup></xref>
				</p>
        <p>Therefore, the present study sought to estimate CVR over a 10-year period in the Brazilian adult population, according to NHS laboratory data.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>This is a cross-sectional study conducted by means of secondary data from the NHS, a Brazilian household survey, as part of the Integrated System of Household Surveys (ISHS), from IBGE.<xref ref-type="bibr" rid="B25"><sup>25</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B26"><sup>26</sup></xref> The laboratory component was collected in 2014 and 2015, and the NHS sampling and the laboratory subsample methodologies can be found in previous studies.<xref ref-type="bibr" rid="B25"><sup>25</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B27"><sup>27</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B28"><sup>28</sup></xref> The laboratory subsample included 8,952 people and, taking into account the correction for possible biases in the statistical analyses, post-stratification weights were used, according to sex, age, level of education, and region.<xref ref-type="bibr" rid="B28"><sup>28</sup></xref>, <xref ref-type="bibr" rid="B29"><sup>29</sup></xref> The weighting procedure used variables from both the samples and the reference population, obtained from external sources, according to data from the 2010 IBGE Census, to adjust the distribution of the collected sample in the household survey to that found for the complete groups of the Brazilian population. The choice of variables used in the construction of weights took into consideration the characteristics of the excluded population to minimize the representation bias. In this sense, using the post-stratification weights, the laboratory sample becomes representative of the Brazilian adult population.<xref ref-type="bibr" rid="B28"><sup>28</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B29"><sup>29</sup></xref>
				</p>
        <p>The blood collected in the laboratory was centrifuged, and the serum and plasma samples were stored in a refrigerator at 4 &#186;C and analyzed by automated and regularly calibrated equipment. Among the collected exams, glycated hemoglobin (HbA1c) was collected in a tube with ethylenediaminetetraacetic acid (EDTA) and dosed by High Pressure Liquid Chromatography (HPLC). This study used the cutoff point established by the World Health Organization (WHO), while the American Diabetes Association recommended HbA1c&#8805;6.5% for the diagnosis of diabetes mellitus (DM).<xref ref-type="bibr" rid="B29"><sup>29</sup></xref> Total cholesterol (TC) and high-density lipoprotein (HDL) were collected in a gel tube and the values for the Brazilian population were calculated.<xref ref-type="bibr" rid="B30"><sup>30</sup></xref>
				</p>
        <p>Blood pressure was measured after explanation of the procedure to the patient, who was supposed to rest for at least five minutes in a calm environment; not have a full stomach; not have practiced physical exercise for 60 to 90 minutes prior; not have ingested alcoholic beverages, coffee or food; not have smoked for 30 minutes prior; maintaining legs crossed, feet on the ground, back resting on a chair, relaxing and not speaking during the measurement.<xref ref-type="bibr" rid="B31"><sup>31</sup></xref> In total, three measurements were taken, with intervals of two minutes between each, using a calibrated mercury column sphygmomanometer. At the end, the three measurements were recorded as the definitive value for data analysis.</p>
        <p>Smoking was evaluated through the following questions: &#8220;Are you or have you ever been a smoker, that is, have you smoked at least 100 cigarettes throughout your life?&#8221; and &#8220;How many cigarettes do you currently smoke per day?&#8221;</p>
        <p>The scoring to estimate the overall CVR followed that proposed by Framingham<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> and considered sex, age, TC and HDL cholesterol, treated and untreated blood pressure, smoking (yes or no), diabetes (yes or no). Separate calculations were performed for men and women. The specific risks were calculated by age and considered the frequency rates (FR) described below.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Individuals younger than 30 and older than 74 excluded from the analysis, maintaining the same age groups of the cohort used in the risk estimation.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Likewise, individuals who declared that they had been diagnosed by a doctor with heart disease or stroke (also known as a cerebrovascular accident &#8211; CVA) were excluded from this analysis.</p>
        <p>The scores considered that proposed by D&#8217;Agostino et al.,<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> detailed in another publication,<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> and which was adopted in Brazil, in 2013, by the Brazilian Society of Cardiology, entitled the Global Risk Score (GRS).<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> Age was self-reported by the participants and considered the following age ranges: 30&#8211;34, 35&#8211;39, 40&#8211;44, 45&#8211;49, 50&#8211;54, 55&#8211;59, 60&#8211;64, 65&#8211;69, 70&#8211;74, 75 and over. The male scores ranged from 0 to 15 points and the female scores ranged from 0 to 12 points.</p>
        <p>Male smokers presented scores of 4 points, while female smokers presented scores of 3 points. Blood pressure (BP) attributed a differential score between those that were and those that were not undergoing drug treatment, considering the question: &#8220;Have you used any high blood pressure drugs in the last 15 days?&#8221;. The male score ranged from -2 to 3 (under treatment) and 0 to 4 (without treatment), and the female score ranged from -1 to 7 (under treatment) and -3 to 5 (without treatment).<xref ref-type="bibr" rid="B20"><sup>20</sup></xref>
				</p>
        <p>Regarding laboratory exams, the cutoff points and estimation scores were:</p>
        <list list-type="alpha-lower">
          <list-item>
            <p>Diabetes: hemoglobin was used (HbA1c&lt;6.5% = 0 for both sexes; HbA1c&#8805;6.5% men = 3 points, women = 4 points), or disease diagnosis by a doctor.</p>
          </list-item>
          <list-item>
            <p>CT: For women: CT&lt;160 mg/dl = 0 points, CT 160&#8211;199 mg/dl = 1 point, CT&#8805;200 -239 mg/dl = 3 points, CT&#8805;240 -279 mg/dl = 4 points, CT&#8805;280 = 5 points). For men: CT&lt;160 mg/dl = 0 points, CT 160&#8211;199 mg/dl = 1 point, CT&#8805;200 -239 mg/dl = 2 points, CT&#8805;240 -279 mg/dl = 3 points, CT&#8805;280 = 4 points).</p>
          </list-item>
          <list-item>
            <p>HDL cholesterol for men (&#8805;60 mg/dL= -2 points, HDL 50&#8211;59 = -1 point, HDL 45&#8211;49= 0 points, 35&#8211;44= 1, &lt;35 mg/dL = 2 points). For women: &#8805;60 mg/dL = -2 points, HDL 50&#8211;59 mg/dL = -1 point, HDL 45&#8211;49 = 0 point, 35&#8211;44= 1, &lt;35 mg/dL = 2 points).</p>
          </list-item>
        </list>
        <p>The study estimated the overall GRS for men and women and the respective confidence intervals (95% CI). The analyses were carried out using Stata, version 13. According to the guidelines set forth by the Brazilian Society of Cardiology, the following cutoff points for cardiovascular risk over a 10-year period were used: a) low CVR &lt;5%, intermediate CVR (5 to &lt;20%) and high CVR (&#8805;20%).<xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B32"><sup>32</sup></xref>
				</p>
        <p>The NHS questionnaire and the variables have been published in prior publications and greater details can be found in other publications.<xref ref-type="bibr" rid="B27"><sup>27</sup></xref> According to that set forth in the study protocol, all of the results of the exams were informed to the user by the laboratory in charge. In cases of abnormal results, the users were advised to seek out medical assistance in public health services. In cases of extreme risk, the users were contacted directly by the partner laboratory or by the Ministry of Health, attempting to provide immediate medical care assistance.<xref ref-type="bibr" rid="B28"><sup>28</sup></xref>
				</p>
        <p>It should also be noted that the NHS was approved by the National Ethics Commission on Research, logged under protocol number 328.159, on June 26, 2013. All individuals were consulted, their doubts clarified, and agreed to participate in this study.</p>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>This study shows that 58.4% of women presented low cardiovascular risk (&lt;5%); 32.9% intermediate GRS (5 to 19%) and 8.7% high GRS (&gt;=20%). The high GRS in women increased with age, from 0.1% in the 40&#8211;44-year-old group to 9.3% in the 50&#8211;54-year-old group; 10.6% in the 55&#8211;59-year-old group; 29% in the 60&#8211;64-year-old-group; 29.9% in the 65&#8211;69-year-old group, and 38.4% in the 70&#8211;74-year-old group. The difference in the GRS according to years of education was nearly five-fold comparing the high level of education (12 years or more) with the low level of education (&lt;8 years) (3.2%: 95% CI 2.4&#8211;4.4 versus 15.7%: 95% CI 13.5&#8211;18.3). Those who had health insurance presented a lower GR, 5.4% (95% CI 3.9&#8211;7.3) versus 10.2% (95% CI 8.8&#8211;11.8) of those who did not. Black women represented the largest proportion in the high-risk group (&gt;=20%): 14.4% (95% CI 9.7&#8211;20.9), compared to white women, 7.3 (95% CI 5.8&#8211;9.1). The self-evaluation of bad health showed the largest difference among women, and presented a gradient, considering the following extremes: women who self-evaluate themselves as having good health, 2.9% (95% CI 1.3&#8211;3.6), and very bad health, 25.6% (12.7&#8211;45.0) (<xref ref-type="table" rid="t3">Table 1</xref>).</p>
        <table-wrap id="t3">
          <label>Table 1</label>
          <caption>
            <title>Proportional distribution of the selected variable by cardiovascular risk groups, women, NHS 2013</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="14%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="center" colspan="2" rowspan="2" valign="middle">Variable</th>
                <th align="center" colspan="2" valign="middle">Less than 10%</th>
                <th align="center" colspan="2" valign="middle">Between 11% and 20%</th>
                <th align="center" colspan="2" valign="middle">Greater than 20%</th>
              </tr>
              <tr>
                <th align="center" valign="middle">n</th>
                <th align="center" valign="middle">%</th>
                <th align="center" valign="middle">n</th>
                <th align="center" valign="middle">%</th>
                <th align="center" valign="middle">n</th>
                <th align="center" valign="middle">%</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Women</bold>
                </td>
                <td align="center" valign="middle">2092</td>
                <td align="center" valign="middle">58.4 (56.3;60.5)</td>
                <td align="center" valign="middle">1180</td>
                <td align="center" valign="middle">32.9 (31;35)</td>
                <td align="center" valign="middle">312</td>
                <td align="center" valign="middle">8.7 (7.6;9.9)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Age</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">30&#8211;34</td>
                <td align="center" valign="middle">564</td>
                <td align="center" valign="middle">100</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">-</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">-</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">35&#8211;39</td>
                <td align="center" valign="middle">482</td>
                <td align="center" valign="middle">94.1 (90.2;96.5)</td>
                <td align="center" valign="middle">30</td>
                <td align="center" valign="middle">5.8 (3.4;9.8)</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0 (0;0.3)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">40&#8211;44</td>
                <td align="center" valign="middle">404</td>
                <td align="center" valign="middle">84.9 (80.2;88.6)</td>
                <td align="center" valign="middle">72</td>
                <td align="center" valign="middle">15 (11.3;19.7)</td>
                <td align="center" valign="middle">1</td>
                <td align="center" valign="middle">0.1 (0;0.9)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">45&#8211;49</td>
                <td align="center" valign="middle">353</td>
                <td align="center" valign="middle">70.3 (64.8;75.3)</td>
                <td align="center" valign="middle">147</td>
                <td align="center" valign="middle">29.3 (24.3;34.8)</td>
                <td align="center" valign="middle">2</td>
                <td align="center" valign="middle">0.4 (0.1;1.6)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">50&#8211;54</td>
                <td align="center" valign="middle">161</td>
                <td align="center" valign="middle">39.2 (33.3;45.5)</td>
                <td align="center" valign="middle">211</td>
                <td align="center" valign="middle">51.4 (45.2;57.6)</td>
                <td align="center" valign="middle">38</td>
                <td align="center" valign="middle">9.3 (6.3;13.7)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">55&#8211;59</td>
                <td align="center" valign="middle">87</td>
                <td align="center" valign="middle">22.1 (17.1;28)</td>
                <td align="center" valign="middle">265</td>
                <td align="center" valign="middle">67.3 (61;73)</td>
                <td align="center" valign="middle">42</td>
                <td align="center" valign="middle">10.6 (7.6;14.7)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">60&#8211;64</td>
                <td align="center" valign="middle">28</td>
                <td align="center" valign="middle">9.3 (6.2;13.6)</td>
                <td align="center" valign="middle">186</td>
                <td align="center" valign="middle">61.7 (54.8;68.2)</td>
                <td align="center" valign="middle">87</td>
                <td align="center" valign="middle">29 (23;35.9)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">65&#8211;69</td>
                <td align="center" valign="middle">12</td>
                <td align="center" valign="middle">4.5 (2.4;8.5)</td>
                <td align="center" valign="middle">172</td>
                <td align="center" valign="middle">65.5 (58.2;72.2)</td>
                <td align="center" valign="middle">79</td>
                <td align="center" valign="middle">29.9 (23.6;37.2)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">70&#8211;74</td>
                <td align="center" valign="middle">2</td>
                <td align="center" valign="middle">1.5 (0.5;4.1)</td>
                <td align="center" valign="middle">98</td>
                <td align="center" valign="middle">60.2 (50.5;69.1)</td>
                <td align="center" valign="middle">63</td>
                <td align="center" valign="middle">38.4 (29.5;48.1)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Level of education</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">0&#8211;8 years</td>
                <td align="center" valign="middle">572</td>
                <td align="center" valign="middle">40.2 (37.1;43.3)</td>
                <td align="center" valign="middle">628</td>
                <td align="center" valign="middle">44.1 (41;47.2)</td>
                <td align="center" valign="middle">224</td>
                <td align="center" valign="middle">15.7 (13.5;18.3)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">9 to 11</td>
                <td align="center" valign="middle">293</td>
                <td align="center" valign="middle">61.5 (55.3;67.3)</td>
                <td align="center" valign="middle">151</td>
                <td align="center" valign="middle">31.6 (26.1;37.7)</td>
                <td align="center" valign="middle">33</td>
                <td align="center" valign="middle">6.9 (4.5;10.4)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">12 and over</td>
                <td align="center" valign="middle">1227</td>
                <td align="center" valign="middle">72.9 (70;75.7)</td>
                <td align="center" valign="middle">401</td>
                <td align="center" valign="middle">23.8 (21.2;26.7)</td>
                <td align="center" valign="middle">54</td>
                <td align="center" valign="middle">3.2 (2.4;4.4)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Skin color</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">White</td>
                <td align="center" valign="middle">1003</td>
                <td align="center" valign="middle">58.3 (55;61.6)</td>
                <td align="center" valign="middle">591</td>
                <td align="center" valign="middle">34.4 (31.3;37.6)</td>
                <td align="center" valign="middle">125</td>
                <td align="center" valign="middle">7.3 (5.8;9.1)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Black</td>
                <td align="center" valign="middle">169</td>
                <td align="center" valign="middle">49.8 (42.7;56.9)</td>
                <td align="center" valign="middle">122</td>
                <td align="center" valign="middle">35.8 (29.4;42.7)</td>
                <td align="center" valign="middle">49</td>
                <td align="center" valign="middle">14.4 (9.7;20.9)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Light-skinned Black</td>
                <td align="center" valign="middle">891</td>
                <td align="center" valign="middle">60.1 (57.2;62.8)</td>
                <td align="center" valign="middle">457</td>
                <td align="center" valign="middle">30.8 (28.3;33.5)</td>
                <td align="center" valign="middle">135</td>
                <td align="center" valign="middle">9.1 (7.6;10.9)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Other</td>
                <td align="center" valign="middle">30</td>
                <td align="center" valign="middle">69.4 (49.1;84.2)</td>
                <td align="center" valign="middle">11</td>
                <td align="center" valign="middle">24.8 (11.4;45.7)</td>
                <td align="center" valign="middle">2</td>
                <td align="center" valign="middle">5.9 (2.2;14.8)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Region</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">North</td>
                <td align="center" valign="middle">150</td>
                <td align="center" valign="middle">61.8 (58.5;65)</td>
                <td align="center" valign="middle">63</td>
                <td align="center" valign="middle">29.5 (26.5;32.6)</td>
                <td align="center" valign="middle">12</td>
                <td align="center" valign="middle">8.7 (7;10.8)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Northeast</td>
                <td align="center" valign="middle">561</td>
                <td align="center" valign="middle">54.8 (52.1;57.4)</td>
                <td align="center" valign="middle">278</td>
                <td align="center" valign="middle">32.7 (30.3;35.2)</td>
                <td align="center" valign="middle">85</td>
                <td align="center" valign="middle">12.6 (11;14.4)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Southeast</td>
                <td align="center" valign="middle">910</td>
                <td align="center" valign="middle">49.9 (46.2;53.5)</td>
                <td align="center" valign="middle">578</td>
                <td align="center" valign="middle">36.3 (32.9;39.9)</td>
                <td align="center" valign="middle">152</td>
                <td align="center" valign="middle">13.8 (11.6;16.4)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">South</td>
                <td align="center" valign="middle">308</td>
                <td align="center" valign="middle">50.7 (46.3;55)</td>
                <td align="center" valign="middle">177</td>
                <td align="center" valign="middle">36.1 (32.1;40.2)</td>
                <td align="center" valign="middle">46</td>
                <td align="center" valign="middle">13.3 (10.7;16.3)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Midwest</td>
                <td align="center" valign="middle">164</td>
                <td align="center" valign="middle">54.9 (50.3;59.5)</td>
                <td align="center" valign="middle">84</td>
                <td align="center" valign="middle">33.1 (28.9;37.5)</td>
                <td align="center" valign="middle">16</td>
                <td align="center" valign="middle">12 (9.4;15.2)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Health Insurance</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="center" valign="middle">0 (0;0)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">No</td>
                <td align="center" valign="middle">1375</td>
                <td align="center" valign="middle">56 (53.5;58.4)</td>
                <td align="center" valign="middle">830</td>
                <td align="center" valign="middle">33.8 (31.5;36.2)</td>
                <td align="center" valign="middle">251</td>
                <td align="center" valign="middle">10.2 (8.8;11.8)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Yes</td>
                <td align="center" valign="middle">717</td>
                <td align="center" valign="middle">63.6 (59.6;67.4)</td>
                <td align="center" valign="middle">350</td>
                <td align="center" valign="middle">31.1 (27.4;35)</td>
                <td align="center" valign="middle">60</td>
                <td align="center" valign="middle">5.4 (3.9;7.3)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Self-evaluation</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Very good</td>
                <td align="center" valign="middle">313</td>
                <td align="center" valign="middle">73.4 (67;78.9)</td>
                <td align="center" valign="middle">102</td>
                <td align="center" valign="middle">23.8 (18.5;30)</td>
                <td align="center" valign="middle">12</td>
                <td align="center" valign="middle">2.9 (1.3;6)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Good</td>
                <td align="center" valign="middle">1188</td>
                <td align="center" valign="middle">67.3 (64.3;70.1)</td>
                <td align="center" valign="middle">500</td>
                <td align="center" valign="middle">28.3 (25,6;31.2)</td>
                <td align="center" valign="middle">78</td>
                <td align="center" valign="middle">4.4 (3.3;5.8)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Regular</td>
                <td align="center" valign="middle">504</td>
                <td align="center" valign="middle">44.3 (40.9;47.8)</td>
                <td align="center" valign="middle">469</td>
                <td align="center" valign="middle">41.2 (37.7;44.8)</td>
                <td align="center" valign="middle">165</td>
                <td align="center" valign="middle">14.5 (12.1;17.2)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Bad</td>
                <td align="center" valign="middle">69</td>
                <td align="center" valign="middle">33.1 (26;41.2)</td>
                <td align="center" valign="middle">94</td>
                <td align="center" valign="middle">45.1 (37.4;53.1)</td>
                <td align="center" valign="middle">45</td>
                <td align="center" valign="middle">21.7 (15.9;29)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Very bad</td>
                <td align="center" valign="middle">17</td>
                <td align="center" valign="middle">39.2 (24.5;56.2)</td>
                <td align="center" valign="middle">16</td>
                <td align="center" valign="middle">35.1 (22.6;50.2)</td>
                <td align="center" valign="middle">11</td>
                <td align="center" valign="middle">25.6 (12.7;45)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <attrib>Source: National Health Survey, 2013.</attrib>
          </table-wrap-foot>
        </table-wrap>
        <p>Among men, 36.5% presented low cardiovascular risk (&lt;5%); 41.9% presented intermediate GRS (5 to 19%); and 21.6%, high GRS (&gt; 20%). The high GRS in men increased with age, from 1.0% in the 40&#8211;44-year-old group; 4.9% in the 45&#8211;49-year-old group; 17.1% in the 50&#8211;54-year-old group, 44.7% in the 55&#8211;59-year-old group; 61.5% in the 60&#8211;64-year-old group; 78.2% in the 65&#8211;69-year-old group, 91.9% in the 70&#8211;74-year-old and older group. The difference in the CVR, according to the level of education, was nearly twice as high, 13.8% (12 years or more) and 29.8% (&lt;8 years). No difference was identified in the GRS considering race and skin color, and having health insurance. The self-evaluation of health in men also presented a gradient: very good, 11.4% (95% CI 8&#8211;15.9) and the self-evaluation of bad health, 39.1% (95% CI 28.8&#8211;50.4) (<xref ref-type="table" rid="t4">Table 2</xref>).</p>
        <table-wrap id="t4">
          <label>Table 2</label>
          <caption>
            <title>Proportional distribution of selected variables by cardiovascular risk groups, men, NHS 2013</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="14%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="center" colspan="2" rowspan="2" valign="middle">Variable</th>
                <th align="center" colspan="2" valign="middle">Less than 10%</th>
                <th align="center" colspan="2" valign="middle">Between 11% and 20%</th>
                <th align="center" colspan="2" valign="middle">Greater than 20%</th>
              </tr>
              <tr>
                <th align="center" valign="middle">n</th>
                <th align="center" valign="middle">%</th>
                <th align="center" valign="middle">n</th>
                <th align="center" valign="middle">%</th>
                <th align="center" valign="middle">n</th>
                <th align="center" valign="middle">%</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Men</bold>
                </td>
                <td align="center" valign="middle">950</td>
                <td align="center" valign="middle">36.5 (34.1;39.1)</td>
                <td align="center" valign="middle">1088</td>
                <td align="center" valign="middle">41.9 (39.4;44.4)</td>
                <td align="center" valign="middle">562</td>
                <td align="center" valign="middle">21.6 (19.7;23.6)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Age</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">30&#8211;34</td>
                <td align="center" valign="middle">390</td>
                <td align="center" valign="middle">96.4 (92.9;98.2)</td>
                <td align="center" valign="middle">15</td>
                <td align="center" valign="middle">3.6 (1.8;7.1)</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&#8211;</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">35&#8211;39</td>
                <td align="center" valign="middle">342</td>
                <td align="center" valign="middle">84,5 (78.9;88.7)</td>
                <td align="center" valign="middle">63</td>
                <td align="center" valign="middle">15.5 (11.3;21.1)</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&#8211;</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">40&#8211;44</td>
                <td align="center" valign="middle">139</td>
                <td align="center" valign="middle">38,2 (31.8;45)</td>
                <td align="center" valign="middle">221</td>
                <td align="center" valign="middle">60.8 (53.9;67.2)</td>
                <td align="center" valign="middle">4</td>
                <td align="center" valign="middle">1 (0.4;2.4)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">45&#8211;49</td>
                <td align="center" valign="middle">63</td>
                <td align="center" valign="middle">18.7 (13.9;24.6)</td>
                <td align="center" valign="middle">258</td>
                <td align="center" valign="middle">76.4 (70.2;81.7)</td>
                <td align="center" valign="middle">16</td>
                <td align="center" valign="middle">4.9 (2.7;8.5)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">50&#8211;54</td>
                <td align="center" valign="middle">17</td>
                <td align="center" valign="middle">5.1 (3;8.6)</td>
                <td align="center" valign="middle">250</td>
                <td align="center" valign="middle">77.7 (71.7;82.7)</td>
                <td align="center" valign="middle">55</td>
                <td align="center" valign="middle">17.1 (12.7;22.8)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">55&#8211;59</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&#8211;</td>
                <td align="center" valign="middle">142</td>
                <td align="center" valign="middle">55.3 (47.4;62.9)</td>
                <td align="center" valign="middle">115</td>
                <td align="center" valign="middle">44.7 (37.1;52.6)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">60&#8211;64</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&#8211;</td>
                <td align="center" valign="middle">99</td>
                <td align="center" valign="middle">38.5 (31.3;46.2)</td>
                <td align="center" valign="middle">158</td>
                <td align="center" valign="middle">61.5 (53.8;68.7)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">65&#8211;69</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&#8211;</td>
                <td align="center" valign="middle">33</td>
                <td align="center" valign="middle">21.8 (15.7;29.4)</td>
                <td align="center" valign="middle">118</td>
                <td align="center" valign="middle">78.2 (70.6;84.3)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">70&#8211;74</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&#8211;</td>
                <td align="center" valign="middle">8</td>
                <td align="center" valign="middle">8.1 (4.2;15.2)</td>
                <td align="center" valign="middle">95</td>
                <td align="center" valign="middle">91.9 (84.8;95.8)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Level of education</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">0&#8211;8 years</td>
                <td align="center" valign="middle">237</td>
                <td align="center" valign="middle">21.8 (19.1;24.8)</td>
                <td align="center" valign="middle">525</td>
                <td align="center" valign="middle">48.4 (44.8;51.9)</td>
                <td align="center" valign="middle">324</td>
                <td align="center" valign="middle">29.8 (26.8;33.1)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">9 to 11</td>
                <td align="center" valign="middle">163</td>
                <td align="center" valign="middle">41.8 (35.1;48.8)</td>
                <td align="center" valign="middle">145</td>
                <td align="center" valign="middle">37.1 (30.7;44)</td>
                <td align="center" valign="middle">82</td>
                <td align="center" valign="middle">21.1 (16.2;27)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">12 and over</td>
                <td align="center" valign="middle">550</td>
                <td align="center" valign="middle">48.9 (44.8;53.1)</td>
                <td align="center" valign="middle">418</td>
                <td align="center" valign="middle">37.2 (33.3;41.3)</td>
                <td align="center" valign="middle">155</td>
                <td align="center" valign="middle">13.8 (11.4;16.7)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Skin color</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">White</td>
                <td align="center" valign="middle">408</td>
                <td align="center" valign="middle">33.5 (29.8;37.5)</td>
                <td align="center" valign="middle">532</td>
                <td align="center" valign="middle">43.7 (39.8;47.7)</td>
                <td align="center" valign="middle">277</td>
                <td align="center" valign="middle">22.8 (19.8;26.1)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Black</td>
                <td align="center" valign="middle">92</td>
                <td align="center" valign="middle">34 (26.8;42.1)</td>
                <td align="center" valign="middle">129</td>
                <td align="center" valign="middle">47.9 (39.6;56.3)</td>
                <td align="center" valign="middle">49</td>
                <td align="center" valign="middle">18.1 (12.7;25)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Light&#8211;Skinned black</td>
                <td align="center" valign="middle">441</td>
                <td align="center" valign="middle">40.5 (36.8;44.2)</td>
                <td align="center" valign="middle">415</td>
                <td align="center" valign="middle">38.2 (34.8;41.6)</td>
                <td align="center" valign="middle">233</td>
                <td align="center" valign="middle">21.4 (18.8;24.3)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Other</td>
                <td align="center" valign="middle">10</td>
                <td align="center" valign="middle">41.1 (23.1;61.9)</td>
                <td align="center" valign="middle">12</td>
                <td align="center" valign="middle">47.4 (27;68.7)</td>
                <td align="center" valign="middle">3</td>
                <td align="center" valign="middle">11.5 (4.9;24.7)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Region</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">North</td>
                <td align="center" valign="middle">70</td>
                <td align="center" valign="middle">39.7 (35.7;43.7)</td>
                <td align="center" valign="middle">78</td>
                <td align="center" valign="middle">44.3 (40.3;48.3)</td>
                <td align="center" valign="middle">28</td>
                <td align="center" valign="middle">16.1 (13.4;19.2)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Northeast</td>
                <td align="center" valign="middle">274</td>
                <td align="center" valign="middle">40.2 (36.9;43.6)</td>
                <td align="center" valign="middle">283</td>
                <td align="center" valign="middle">41.6 (38.4;45)</td>
                <td align="center" valign="middle">124</td>
                <td align="center" valign="middle">18.2 (15.7;20.9)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Southeast</td>
                <td align="center" valign="middle">391</td>
                <td align="center" valign="middle">34.2 (29.6;39.2)</td>
                <td align="center" valign="middle">463</td>
                <td align="center" valign="middle">40.5 (35.8;45.4)</td>
                <td align="center" valign="middle">288</td>
                <td align="center" valign="middle">25.2 (21.6;29.3)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">South</td>
                <td align="center" valign="middle">143</td>
                <td align="center" valign="middle">3.,9 (30.3;42)</td>
                <td align="center" valign="middle">170</td>
                <td align="center" valign="middle">42.9 (37.2;48.8)</td>
                <td align="center" valign="middle">84</td>
                <td align="center" valign="middle">21.2 (17.1;25.9)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Midwest</td>
                <td align="center" valign="middle">72</td>
                <td align="center" valign="middle">35.8 (30;41.9)</td>
                <td align="center" valign="middle">93</td>
                <td align="center" valign="middle">45.9 (40.1;51.8)</td>
                <td align="center" valign="middle">37</td>
                <td align="center" valign="middle">18.3 (14.4;23)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Health insurance</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">No</td>
                <td align="center" valign="middle">649</td>
                <td align="center" valign="middle">34.9 (32.1;37.8)</td>
                <td align="center" valign="middle">790</td>
                <td align="center" valign="middle">42.6 (39.7;45.4)</td>
                <td align="center" valign="middle">418</td>
                <td align="center" valign="middle">22.5 (20.3;24.9)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Yes</td>
                <td align="center" valign="middle">302</td>
                <td align="center" valign="middle">40.6 (35.5;45.9)</td>
                <td align="center" valign="middle">298</td>
                <td align="center" valign="middle">40.1 (35.1;45.3)</td>
                <td align="center" valign="middle">143</td>
                <td align="center" valign="middle">19.3 (15.7;23.5)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Self&#8211;evaluation</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Very good</td>
                <td align="center" valign="middle">210</td>
                <td align="center" valign="middle">52.8 (45.7;59.8)</td>
                <td align="center" valign="middle">143</td>
                <td align="center" valign="middle">35.8 (29.5;42.7)</td>
                <td align="center" valign="middle">45</td>
                <td align="center" valign="middle">11.4 (8;15.9)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Good</td>
                <td align="center" valign="middle">566</td>
                <td align="center" valign="middle">41 (37.5;44.6)</td>
                <td align="center" valign="middle">562</td>
                <td align="center" valign="middle">40.7 (37.3;44.2)</td>
                <td align="center" valign="middle">254</td>
                <td align="center" valign="middle">18.4 (15.9;21.1)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Regular</td>
                <td align="center" valign="middle">159</td>
                <td align="center" valign="middle">22.7 (19.2;26.7)</td>
                <td align="center" valign="middle">323</td>
                <td align="center" valign="middle">46.2 (41.6;50.8)</td>
                <td align="center" valign="middle">218</td>
                <td align="center" valign="middle">31.1 (27.1;35.4)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Bad</td>
                <td align="center" valign="middle">13</td>
                <td align="center" valign="middle">13.3 (8.4;20.5)</td>
                <td align="center" valign="middle">46</td>
                <td align="center" valign="middle">47.6 (36.3;59.2)</td>
                <td align="center" valign="middle">37</td>
                <td align="center" valign="middle">39.1 (28.8;50.4)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Very bad</td>
                <td align="center" valign="middle">2</td>
                <td align="center" valign="middle">7.6 (2.2;22.7)</td>
                <td align="center" valign="middle">14</td>
                <td align="center" valign="middle">61.3 (39.1;79.7)</td>
                <td align="center" valign="middle">7</td>
                <td align="center" valign="middle">31.1 (14.7;54.2)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <attrib>Source: National Health Survey, 2013.</attrib>
          </table-wrap-foot>
        </table-wrap>
        <p><xref ref-type="fig" rid="f2">Figure 1</xref> shows the proportional distribution of the Framingham model components, by risk groups, which contributed positively (greater than zero) to the total score. In the high risk among women, the indicators that most contributed to the GRS were: systolic blood pressure (97.7%), TC (91.3%), diabetes (62.8%), HDL cholesterol (60.6%) and smoking. In the high risk among men, the indicators that most contributed to the GRS were: TC (85%), systolic blood pressure (84.3%), HDL cholesterol (76.2%), smoking (39.9%) and diabetes (24.7%).</p>
        <fig id="f2">
          <label>Figure 1</label>
          <caption>
            <title>Proportional distribution of the components of the Framingham model by high, intermediate, and low-risk groups, respectively, by sex, NHS 2013.</title>
          </caption>
          <attrib>Source: National Health Survey, 2013</attrib>
          <graphic xlink:href="1678-4170-abc-116-03-0423-90861-gf01-en.jpg"/></fig>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>This study is the first national population-based study to estimate the GRS for the Brazilian adult population using laboratory data. For the calculation, algorithms were employed by D&#8217;Agostino et al.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> according to findings from the Framingham study. These models were estimated by mathematic functions to estimate the absolute risk of CVD in a 10-year period.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> A high GRS (&gt;=20%) was found in nearly 8.7% of the women and nearly one fifth of the men. GRS increased with age, affecting approximately 40% of the women between 70 and 74 years of age and nearly all of the men in this age range. The risk quadrupled among women with low level of education and doubled among men. It is worth noting that there is a large concentration of individuals with GRS greater than 20% in the groups with low levels of education and older individuals. Part of this concentration may be an effect from the cohort, given that, on average, older individuals are less educated than the younger ones.<xref ref-type="bibr" rid="B33"><sup>33</sup></xref> An important portion of the concentration of the less educated individuals in the high-risk group can be explained by the more advanced age of the group and vice-versa. Other analyses, which are not in the scope of this study, can separate the effects.</p>
        <p>Only black women, compared to white women, represented a larger proportion in the high-risk group. What is surprising is the absence of a statistically significant race/color difference in the percentage of men with high GRS. It is likely that part of the differential potential by race has been captured by other correlated variables, such as age and level of education. In the sample, the white male population, as compared to the blacks and light-skinned blacks, show a greater concentration in older ages. Among women, the risk was higher among those that do not have health insurance and a dose-response gradient was also observed between CVR and the self-evaluation of health, reaching eight-fold higher levels between the very good and very bad evaluations, whereas among men this difference was approximately 3-fold higher. The factors that most frequently contributed to the high GRS were age, blood pressure and high cholesterol.</p>
        <p>Various risk assessment calculations were developed to estimate the CVR according to the Framingham study findings. The current score was revised in 2008<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> and includes additional cardiovascular clinical parameters. Although this risk model provides an improved CVD estimate, it still faces some challenges and underestimates the risk in women.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> The classification employed in this study used the Cox model and covariables, such as age, TC, HDL cholesterol, treated and untreated systolic blood pressure, antihypertensive medications, current smoking and the status of diabetes with the CVR calculation.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> The authors transformed the continuous variables into logarithms to improve the discrimination and calibration of the models and to minimize the influence of extreme observations.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref>
				</p>
        <p>The algorithms were recommended by the Brazilian Society of Cardiology in the first version of the Brazilian Guidelines for Cardiovascular Disease Prevention<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> and add advantages in the identification of the GRS, selecting priority individuals for intervention, with multiple risk factors, avoiding the unnecessary identification of people with only one isolated risk.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> These estimations of global CVD support the identification of selected patients for prevention and treatment measures, making the measures cost-effective<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> and useful for application in primary care.</p>
        <p>The proposed algorithm is classified according to sex, increasing the risk score with increasing age, smoking habits, untreated BP and diabetes.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Among women, the algorithm increases in post-menopause age ranges and raises the risk for such factors as smoking and diabetes. Despite the use of higher scores for women, the GRS was still twice as high among men.</p>
        <p>In Brazil, some studies measured the CVR among adults and the elderly, employing the Framingham calculation,<xref ref-type="bibr" rid="B34"><sup>34</sup></xref> as seen in the Bambu&#237; cohort. Adults (n=547, 30&#8211;59 years of age) and the entire elderly population (n=1165, 60&#8211;74 years of age) were analyzed, and the CVR among the elderly was found in 56% of the men and 21% of the women.<xref ref-type="bibr" rid="B35"><sup>35</sup></xref> Another national study, which evaluated approximately 15,000 individuals who received medical care in the check-up service of the Preventive Medical Center of the Israelita Albert Einstein Hospital between 2009 and 2015, also identified similar proportions. High CVR in women was 12.3% and in men was 40.1%.<xref ref-type="bibr" rid="B23"><sup>23</sup></xref>
				</p>
        <p>The higher CVR in men reflects the presence of less healthy lifestyles, such as smoking, improper diet, alcohol consumption, infrequent search for health services, non-use of medications, which has been documented in a number of other national studies.<xref ref-type="bibr" rid="B35"><sup>35</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B37"><sup>37</sup></xref>
				</p>
        <p>The increase in risk with age has been attributed to aging, increase in BP, which can affect 60% of the elderly, according to data from the NHS.<xref ref-type="bibr" rid="B31"><sup>31</sup></xref> The explanations would be the inherent changes that come with aging, including hardening of the arteries, greater peripheral vascular resistance and comorbidities among the elderly.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B38"><sup>38</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B40"><sup>40</sup></xref>
				</p>
        <p>In the case of women, the rise in GRS in the post-menopause age range results from the loss of the hormone prevention effect in this stage of life. The increase in hypertension in women has been described by the growth of central obesity with the increase in age.<xref ref-type="bibr" rid="B31"><sup>31</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B40"><sup>40</sup></xref>
				</p>
        <p>A wide range of studies have also indicated that detection, treatment and control of high blood pressure are crucial to reduce the incidence of cardiovascular events.<xref ref-type="bibr" rid="B41"><sup>41</sup></xref> The Framingham study pointed out that high blood pressure increases the chance of cardiovascular events, which is even higher in the absence of treatment.</p>
        <p>The GRS increases with smoking,<xref ref-type="bibr" rid="B9"><sup>9</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B21"><sup>21</sup></xref> which is highly documented in the literature, including in the Framingham studies.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B22"><sup>22</sup></xref> The cardiovascular guidelines highly recommend that the patient stop smoking as a priority measure in the secondary prevention of cardiovascular diseases and other untreated cardiovascular diseases.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref>
				</p>
        <p>Individuals who self-perceive their own health as bad or very bad presented CVR almost eight times higher among women and three times higher among men. The self-evaluation of health constitutes an excellent predictor of mortality and severe events, both in international<xref ref-type="bibr" rid="B42"><sup>42</sup></xref> and in national events.<xref ref-type="bibr" rid="B43"><sup>43</sup></xref> This is due to the individual&#8217;s own risk perception, brought about by the symptoms, lifestyle changes due to the disease, greater frequency of visits to healthcare services, doctor&#8217;s appointments, use of medications and the limitation of daily activities.<xref ref-type="bibr" rid="B43"><sup>43</sup></xref>
				</p>
        <p>This study highlights a greater GRS in individuals with low level of education, which has been identified in other international<xref ref-type="bibr" rid="B44"><sup>44</sup></xref> and national studies, such as ELSA-Brasil.<xref ref-type="bibr" rid="B45"><sup>45</sup></xref> The socioeconomic adversities have a strong association with morbidity and mortality through CVD,<xref ref-type="bibr" rid="B46"><sup>46</sup></xref> subclinical atherosclerosis, worse manifestations such as metabolic indicators<xref ref-type="bibr" rid="B47"><sup>47</sup></xref> a consequence of socioeconomic disadvantages, adversities in childhood,<xref ref-type="bibr" rid="B45"><sup>45</sup></xref> worse access to healthcare services, and health promotion and prevention practices.<xref ref-type="bibr" rid="B48"><sup>48</sup></xref> In this sense, the results reinforce the importance of taking into consideration socioeconomic variables in the planning of public policies for CVD prevention.</p>
        <p>The limitations of this study include the use of algorithms from the study conducted by Framingham. Since Framingham&#8217;s studies were conducted many decades ago, CVD risks may have changed, and the study findings do not necessarily reflect what occurs in other populations as regards ethnic and cultural differences and others.<xref ref-type="bibr" rid="B22"><sup>22</sup></xref> Another limitation consists of the non-inclusion of other risk factors in the calculation, such as diet, body weight and physical exercise; clinical conditions; and the use of medication to control cholesterol.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B24"><sup>24</sup></xref> As this is a cross-sectional design, it was also impossible to follow up on future outcomes, as it occurs in longitudinal studies. The laboratorial base used in this study presented sample losses, which were minimized by the weighting used; however, the bias may not have been corrected, thus making the estimations subject to review in future studies.</p>
        <p>In Brazil, the longitudinal study of adult health (ELSA-Brasil), using different calculations, calculated CVR over a 10&#8211;year period in 6.9% and 7.6%.<xref ref-type="bibr" rid="B42"><sup>42</sup></xref> These different classifications highlight the need, in future studies, to explore other CVR classifications, including in the scores of other risk factors, such as: abdominal obesity, improper diet, and a lack of physical activity.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B49"><sup>49</sup></xref>
				</p>
        <p>The CVR calculations have been widely used to identify at-risk populations and those that should be the target of health promotion, prevention and treatment measures. The protocols can vary according to the consensus of the specialists, but in all of these, a healthy diet is recommended, including the consumption of fruits and vegetables; reduction of salt, fat and sugar; stopping smoking, doctor&#8217;s advice or medical treatment, as needed; reduction in alcohol consumption; physical exercise; approaches toward obesity and overweight; non-drug treatments combined with medications for patients with hypertension, diabetes, high cholesterol; and other changes, depending on specific characteristics.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> These approaches should be monitored, defining the therapeutic target and monitoring the evolution.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusion</title>
        <p>This study identified the GRS over a 10&#8211;year period in the Brazilian adult population, with an estimated risk of 8.7% among women and 21.6% among men. Individuals with a high CVR require more aggressive changes in their risk factors.21 The GRS can still be used to monitor the progress of patients in treatment and improve their risk scores. These data highlight the need for advances in preventive actions, primarily guiding population strategies in the search for high-risk populations, which, in general, include medication and non-medication approaches.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="financial-disclosure" id="fn3">
          <p>
            <bold>Sources of Funding</bold>
          </p>
          <p>This study was funded by Minist&#233;rio da Sa&#250;de TED 148/2018.</p>
        </fn>
        <fn fn-type="other" id="fn4">
          <p>
            <bold>Study Association</bold>
          </p>
          <p>This study is not associated with any thesis or dissertation work.</p>
        </fn>
      </fn-group>
    </back>
  </sub-article>
</article>
