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  <front>
    <journal-meta>
      <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-loc>S&#227;o Paulo, SP, Brazil</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v3">ysJXqFGxrvHvrVRdb6NpzxN</article-id>
      <article-id pub-id-type="other">00004</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S0066-782X2007001600004</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v1">S0066-782X(07)08900404</article-id>
      <article-id pub-id-type="doi">10.1590/S0066-782X2007001600004</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigos Originais</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Influ&#234;ncia da adiposidade global e da adiposidade abdominal nos n&#237;veis de prote&#237;na C-reativa em mulheres idosas</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Sasaki</surname>
            <given-names>Jeffer Eidi</given-names>
          </name>
          <xref ref-type="aff" rid="aff01"/>
          <xref ref-type="aff" rid="aff02"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Krause</surname>
            <given-names>Maressa Priscila</given-names>
          </name>
          <xref ref-type="aff" rid="aff01"/>
          <xref ref-type="aff" rid="aff02"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gama</surname>
            <given-names>Mirnaluci P. R.</given-names>
          </name>
          <xref ref-type="aff" rid="aff01"/>
          <xref ref-type="aff" rid="aff02"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Hallage</surname>
            <given-names>Tatiane</given-names>
          </name>
          <xref ref-type="aff" rid="aff01"/>
          <xref ref-type="aff" rid="aff02"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Buzzachera</surname>
            <given-names>Cosme Franklin</given-names>
          </name>
          <xref ref-type="aff" rid="aff01"/>
          <xref ref-type="aff" rid="aff02"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Santos</surname>
            <given-names>Maria Gisele dos</given-names>
          </name>
          <xref ref-type="aff" rid="aff01"/>
          <xref ref-type="aff" rid="aff02"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Silva</surname>
            <given-names>Sergio Gregorio da</given-names>
          </name>
          <xref ref-type="aff" rid="aff01"/>
          <xref ref-type="aff" rid="aff02"/>
        </contrib>
      </contrib-group>
      <aff id="aff01">
        <addr-line>
          <named-content content-type="state">Paran&#225;</named-content>
        </addr-line>
        <institution content-type="orgname">Universidade Federal do Paran&#225;</institution>
        <country country="BR">Brazil</country>
      </aff>
      <aff id="aff02">
        <addr-line>
          <named-content content-type="city">Curitiba</named-content>
          <named-content content-type="state">Paran&#225;</named-content>
        </addr-line>
        <institution content-type="orgname">Faculdade Evang&#233;lica do Paran&#225;</institution>
        <country country="BR">Brazil</country>
      </aff>
      <pub-date date-type="collection" publication-format="electronic">
        <month>10</month>
        <year>2007</year>
      </pub-date>
      <volume>89</volume>
      <issue>4</issue>
      <fpage>231</fpage>
      <lpage>236</lpage>
      <history>
        <date date-type="rev-recd">
          <day>26</day>
          <month>03</month>
          <year>2007</year>
        </date>
        <date date-type="received">
          <day>12</day>
          <month>07</month>
          <year>2006</year>
        </date>
        <date date-type="accepted">
          <day>19</day>
          <month>04</month>
          <year>2007</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xml:lang="en">
          <license-p>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>OBJETIVO: Examinar como a adiposidade global e a adiposidade abdominal, expressas pela circunfer&#234;ncia da cintura (CC), pelo &#237;ndice de massa corporal (IMC) e pelo somat&#243;rio de dobras cut&#226;neas (sigmaDC), influenciam os n&#237;veis de prote&#237;na C-reativa (PCR) em mulheres idosas. M&#201;TODOS: A amostra foi composta por 387 mulheres idosas, com idade superior a 60 anos (m&#233;dia, 68,9; desvio padr&#227;o, 5,9 anos). Foram avaliados o IMC, a CC, o sigmaDC, e os n&#237;veis de PCR. Foi utilizada a an&#225;lise estat&#237;stica ANOVA one-way para verificar as diferen&#231;as nas vari&#225;veis entre as categorias investigadas. Para avaliar a influ&#234;ncia das medidas de adiposidade nos n&#237;veis de PCR foi utilizada a regress&#227;o log&#237;stica. O n&#237;vel de signific&#226;ncia adotado foi de p &lt; 0,05. RESULTADOS: A an&#225;lise de vari&#226;ncia demonstrou que o valor m&#233;dio da CC foi menor na categoria normal de PCR, quando comparada aos n&#237;veis elevados de PCR. A regress&#227;o log&#237;stica analisou a influ&#234;ncia dos quartis do IMC, da CC e do sigmaDC nos n&#237;veis de PCR, em que apenas a CC foi preditora de n&#237;veis elevados de PCR, tendo o quartil extremo superior (ponto de corte de 94,0 cm) apresentado n&#237;veis quase duas vezes maiores que o quartil extremo inferior (risco estimado = 2,23; intervalo de confian&#231;a de 95% = 1,92-4,18; p = 0,012). CONCLUS&#195;O: Os resultados do presente estudo apontam que a adiposidade abdominal &#233; um forte preditor de n&#237;veis elevados de PCR.</p>
      </abstract>
      <kwd-group xml:lang="pt" kwd-group-type="author-generated">
        <kwd>Adiposidade</kwd>
        <kwd>tecido adiposo</kwd>
        <kwd>gordura abdominal</kwd>
        <kwd>tecido adiposo abdominal</kwd>
        <kwd>prote&#237;na C-reativa</kwd>
        <kwd>fatores de risco</kwd>
      </kwd-group>
      <pub-date publication-format="electronic" date-type="pub">
        <day>18</day>
        <month>04</month>
        <year>2008</year>
      </pub-date>
    </article-meta>
  </front>
  <body>
    <p>
      <bold>ARTIGO ORIGINAL</bold>
    </p>
    <p>Influ&#234;ncia da adiposidade global e da adiposidade abdominal nos n&#237;veis de prote&#237;na C-reativa em mulheres idosas</p>
    <p>
      <bold>Jeffer Eidi Sasaki; Maressa Priscila Krause; Mirnaluci P. R. Gama; Tatiane Hallage; Cosme Franklin Buzzachera; Maria Gisele dos Santos; Sergio Gregorio da Silva</bold>
    </p>
    <p> Universidade Federal do Paran&#225; e Faculdade Evang&#233;lica do Paran&#225; &#150; Curitiba, PR &#150; Brasil</p>
    <p>
      <xref ref-type="corresp" rid="end">Correspond&#234;ncia</xref>
    </p>
    <p>
      <bold>RESUMO</bold>
    </p>
    <p><bold>OBJETIVO:</bold> Examinar como a adiposidade global e a adiposidade abdominal, expressas pela circunfer&#234;ncia da cintura (CC), pelo &#237;ndice de massa corporal (IMC) e pelo somat&#243;rio de dobras cut&#226;neas (SDC), influenciam os n&#237;veis de prote&#237;na C-reativa (PCR) em mulheres idosas. </p>
    <p><bold>M&#201;TODOS:</bold> A amostra foi composta por 387 mulheres idosas, com idade superior a 60 anos (m&#233;dia, 68,9; desvio padr&#227;o, 5,9 anos). Foram avaliados o IMC, a CC, o SDC, e os n&#237;veis de PCR. Foi utilizada a an&#225;lise estat&#237;stica ANOVA one-way para verificar as diferen&#231;as nas vari&#225;veis entre as categorias investigadas. Para avaliar a influ&#234;ncia das medidas de adiposidade nos n&#237;veis de PCR foi utilizada a regress&#227;o log&#237;stica. O n&#237;vel de signific&#226;ncia adotado foi de p &lt; 0,05. </p>
    <p><bold>RESULTADOS:</bold> A an&#225;lise de vari&#226;ncia demonstrou que o valor m&#233;dio da CC foi menor na categoria normal de PCR, quando comparada aos n&#237;veis elevados de PCR. A regress&#227;o log&#237;stica analisou a influ&#234;ncia dos quartis do IMC, da CC e do SDC nos n&#237;veis de PCR, em que apenas a CC foi preditora de n&#237;veis elevados de PCR, tendo o quartil extremo superior (ponto de corte de 94,0 cm) apresentado n&#237;veis quase duas vezes maiores que o quartil extremo inferior (risco estimado = 2,23; intervalo de confian&#231;a de 95% = 1,92-4,18; p = 0,012). </p>
    <p><bold>CONCLUS&#195;O:</bold> Os resultados do presente estudo apontam que a adiposidade abdominal &#233; um forte preditor de n&#237;veis elevados de PCR.</p>
    <p><bold>Palavras-chave:</bold> Adiposidade, tecido adiposo, gordura abdominal, tecido adiposo abdominal, prote&#237;na C-reativa, fatores de risco.</p>
    <p>
      <bold>Introdu&#231;&#227;o</bold>
    </p>
    <p>As doen&#231;as cardiovasculares t&#234;m sido uma preocupa&#231;&#227;o constante da civiliza&#231;&#227;o moderna, sendo as principais causas de morte no Ocidente e a principal causa de morte na popula&#231;&#227;o brasileira<sup>1,2</sup>. A maioria dos dist&#250;rbios cardiovasculares tem origem na aterosclerose, que pode ser influenciada por fatores de risco, tais como obesidade, tabagismo, diabetes, hipertens&#227;o e sedentarismo<sup>3,4</sup>.</p>
    <p>A patog&#234;nese da aterosclerose envolve um processo cr&#244;nico e constante de inflama&#231;&#227;o da parede arterial, que, conseq&#252;entemente, ocasiona a ativa&#231;&#227;o da prolifera&#231;&#227;o celular, formando um ateroma e finalizando com o fibroateroma<sup>3,5,6</sup>.</p>
    <p>O desenvolvimento da aterosclerose ocorre de forma assintom&#225;tica com o avan&#231;ar da idade. A manifesta&#231;&#227;o lenta e progressiva caracteriza o quadro cr&#244;nico, mas tamb&#233;m podem ocorrer quadros agudos. O diagn&#243;stico cl&#237;nico depende da evolu&#231;&#227;o da placa ateroscler&#243;tica, que, por sua vez, pode ser influenciada tanto pela senesc&#234;ncia como por fatores que predisp&#245;em a trombose, pela heran&#231;a gen&#233;tica e por fatores ambientais<sup>6</sup>.</p>
    <p>A inflama&#231;&#227;o constante da parede arterial no processo ateroscler&#243;tico tende a elevar os n&#237;veis de prote&#237;na C-reativa (PCR), a qual &#233; uma prote&#237;na da fase aguda, ou seja, sofre altera&#231;&#245;es em estados inflamat&#243;rios e de infec&#231;&#227;o<sup>7</sup>. Por esse motivo, a PCR pode ser utilizada como um procedimento diagn&#243;stico dos riscos card&#237;acos<sup>8</sup>, desde que a avalia&#231;&#227;o seja feita na aus&#234;ncia de outras inflama&#231;&#245;es e infec&#231;&#245;es.</p>
    <p>Os n&#237;veis elevados de PCR constituem-se em fator de risco independente para doen&#231;as cardiovasculares e para doen&#231;as coronarianas<sup>9,10</sup>. Al&#233;m desses quadros cl&#237;nicos, a hipertens&#227;o e o diabetes tamb&#233;m podem ser relacionados aos n&#237;veis elevados de PCR<sup>9</sup>. Contudo, a adiposidade corporal parece ser o fator de risco mais relacionado a essas altera&#231;&#245;es<sup>11-16</sup>. </p>
    <p>O excesso de adiposidade (corporal), principalmente na regi&#227;o visceral, &#233; considerado indicador de dist&#250;rbios metab&#243;licos, como hipertrigliceridemia, elevado &#237;ndice de colesterol de lipoprote&#237;na de baixa densidade (LDL-colesterol), baixo &#237;ndice de colesterol de lipoprote&#237;na de alta densidade (HDL-colesterol), maior resist&#234;ncia insul&#237;nica e intoler&#226;ncia &#224; glicose, fatores que podem potencializar a aterosclerose<sup>6,17</sup>.</p>
    <p>A rela&#231;&#227;o entre adiposidade abdominal e n&#237;veis de PCR apresenta-se aumentada quando a distribui&#231;&#227;o da gordura corporal &#233; avaliada pela circunfer&#234;ncia da cintura (CC)<sup>17,18</sup>. As circunfer&#234;ncias da cintura e do quadril apresentam correla&#231;&#245;es de 0,62 e 0,65, respectivamente, com os n&#237;veis de PCR, ajustado para a idade, enquanto o &#237;ndice de massa corporal (IMC) demonstrou menor associa&#231;&#227;o (r = 0,14)<sup>19</sup>. Dessa forma, a PCR parece ser um m&#233;todo de f&#225;cil aplicabilidade e reprodutibilidade, tanto para meios cl&#237;nicos como para estudos epidemiol&#243;gicos. Assim, o objetivo deste estudo &#233; examinar como a adiposidade global e a adiposidade abdominal, expressas pelo IMC, pelo somat&#243;rio de dobras cut&#226;neas (SDC) e pela CC, influenciam os n&#237;veis de PCR em mulheres idosas.</p>
    <p>
      <bold>M&#233;todos</bold>
    </p>
    <p>O delineamento da pesquisa &#233; caracterizado como Estudo Observacional Transversal e Descritivo. A coleta foi realizada no per&#237;odo compreendido entre abril e julho de 2006.</p>
    <p><italic>Popula&#231;&#227;o e amostra - </italic>Com o intuito de realizar uma sele&#231;&#227;o de amostra estratificada, as seguintes etapas foram realizadas: 1) cadastro dos grupos comunit&#225;rios existentes no munic&#237;pio de Curitiba, Paran&#225;; obtido mediante parceria com institui&#231;&#245;es que promovem atividades recreacionais para a popula&#231;&#227;o da respectiva regional geogr&#225;fica; 2) mapeamento de todos os grupos cadastrados nas oito regionais do munic&#237;pio; 3) aloca&#231;&#227;o aleat&#243;ria simples dos grupos que seriam convidados a participar da pesquisa, por regional; 4) visita ao grupo, explica&#231;&#227;o dos procedimentos da pesquisa, e convite &#224; participa&#231;&#227;o volunt&#225;ria no estudo, tanto para os indiv&#237;duos pertencentes ao respectivo grupo comunit&#225;rio como tamb&#233;m extens&#227;o desse convite a familiares e amigos pr&#243;ximos a esse grupo.</p>
    <p>Depois de realizado o procedimento de sele&#231;&#227;o amostral, conforme descrito, foi determinado o cronograma para a coleta de dados. A amostra foi constitu&#237;da de 387 mulheres (m&#233;dia de idade, 68,9 anos; desvio padr&#227;o, 5,9 anos) que estivessem, na data da coleta, com idade cronol&#243;gica igual ou superior a 60 anos.</p>
    <p>Ap&#243;s detalhado esclarecimento sobre os prop&#243;sitos da investiga&#231;&#227;o, os procedimentos utilizados, os benef&#237;cios e os poss&#237;veis riscos atrelados, os sujeitos participantes assinaram o termo de consentimento, condicionando sua participa&#231;&#227;o de modo volunt&#225;rio. O protocolo de pesquisa foi aprovado pelo Comit&#234; de &#201;tica do Setor de Ci&#234;ncias Biol&#243;gicas da Universidade Federal do Paran&#225;, conforme as normas estabelecidas na Declara&#231;&#227;o de Helsinque e na Resolu&#231;&#227;o 196/96 do Conselho Nacional de Sa&#250;de sobre pesquisa envolvendo seres humanos.</p>
    <p><italic>Instrumentos e procedimentos - </italic>Com o objetivo de evitar a influ&#234;ncia de varia&#231;&#245;es circadianas, todas as avalia&#231;&#245;es foram realizadas no mesmo per&#237;odo do dia (entre 8 horas e 10 horas). Al&#233;m disso, os sujeitos participantes foram instru&#237;dos a n&#227;o realizar atividade f&#237;sica vigorosa no dia anterior, como tamb&#233;m a n&#227;o ingerir alimento nas duas horas antecedentes ao in&#237;cio da avalia&#231;&#227;o. As avalia&#231;&#245;es foram realizadas no Departamento de Educa&#231;&#227;o F&#237;sica &#150; Laborat&#243;rio de Fisiologia do Centro de Pesquisa em Exerc&#237;cio e Esporte, da Universidade Federal do Paran&#225;.</p>
    <p><italic>Vari&#225;veis do estudo - </italic>As vari&#225;veis antropom&#233;tricas foram obtidas conforme os procedimentos propostos por Lohman e cols.<sup>20</sup>. Para a determina&#231;&#227;o da estatura corporal (em cent&#237;metros), o indiv&#237;duo avaliado deveria permanecer em posi&#231;&#227;o ortost&#225;tica com os p&#233;s unidos, descal&#231;os, utilizando o m&#237;nimo poss&#237;vel de roupas. Al&#233;m disso, deveria manter-se em apn&#233;ia inspirat&#243;ria e com a cabe&#231;a orientada em 90 graus, conforme plano de Frankfurt, tendo as superf&#237;cies do calcanhar, cintura p&#233;lvica, cintura escapular e regi&#227;o occipital em contato com o estadi&#244;metro (marca SANNY, modelo STANDARD, precis&#227;o de 0,1 cm), o qual se encontrava fixado &#224; parede. A massa corporal (em quilogramas) foi mensurada com o indiv&#237;duo avaliado permanecendo em posi&#231;&#227;o ortost&#225;tica, descal&#231;o, e trajando o m&#237;nimo poss&#237;vel de roupas. A massa corporal deveria permanecer igualmente distribu&#237;da entre os membros inferiores durante a perman&#234;ncia na plataforma da balan&#231;a (marca TOLEDO, modelo 2096 PP, precis&#227;o de 0,1 kg). O IMC foi obtido mediante a utiliza&#231;&#227;o do quociente massa corporal/estatura<sup>2</sup>, em que o valor da massa corporal &#233; expresso em kg e o da estatura, em m<sup>2</sup>.</p>
    <p>A CC (em cent&#237;metros) foi mensurada no ponto m&#233;dio entre a crista il&#237;aca e a face externa da &#250;ltima costela. Como instrumento de medida foi utilizada fita m&#233;trica inel&#225;stica (precis&#227;o de 0,1 cm). </p>
    <p>As dobras cut&#226;neas foram mensuradas com o compasso de dobras cut&#226;neas do tipo Lange (aproxima&#231;&#227;o de 0,5 mm) nos seguintes pontos anat&#244;micos: tr&#237;ceps, abdome, supra-il&#237;aca, coxa medial e panturrilha medial, todos avaliados no hemicorpo direito. A equa&#231;&#227;o adotada para o c&#225;lculo do porcentual de gordura foi o de Jackson e Pollock<sup>21</sup>.</p>
    <p>Preconizando evitar as varia&#231;&#245;es interavaliadores, a avalia&#231;&#227;o de cada vari&#225;vel antropom&#233;trica (IMC, estatura, CC e dobras cut&#226;neas), em todos os sujeitos, foi realizada pelo mesmo avaliador, previamente treinado. </p>
    <p>Para avalia&#231;&#227;o dos n&#237;veis de PCR foi utilizado o m&#233;todo de turbidimetria com intensifica&#231;&#227;o da rea&#231;&#227;o por part&#237;culas, utilizando um espectrofot&#244;metro <italic>Cobas Mira Plus</italic> (Roche Diagnostics), com calibrador e soro controle <italic>Biosystem</italic> (Bayer<sup>&#174;</sup>). </p>
    <p><italic>As vari&#225;veis de confundimento</italic> &#150; Morbidades foram obtidas mediante auto-relato dos participantes do estudo, por meio do seguinte questionamento: "Seu m&#233;dico diagnosticou que voc&#234; apresenta o quadro cl&#237;nico de... (morbidade)?". Assim, essa vari&#225;vel foi categorizada como dicot&#244;mica (sim/n&#227;o).</p>
    <p><italic>An&#225;lise estat&#237;stica - </italic>O teste de normalidade Kolmogorov Smirnov foi empregado, caracterizando a distribui&#231;&#227;o das vari&#225;veis como param&#233;trica. Foram aplicadas medidas de tend&#234;ncia central e variabilidade para a determina&#231;&#227;o dos valores descritivos (m&#233;dia e desvio padr&#227;o), como tamb&#233;m freq&#252;&#234;ncias absoluta e relativa. ANOVA <italic>one-way</italic> foi utilizada com o objetivo de verificar diferen&#231;as entre as vari&#225;veis independentes nas categorias PCR <underline>&lt;</underline> 1,0 mg/dl e &gt; 1,0 mg/dl.</p>
    <p>A an&#225;lise de regress&#227;o log&#237;stica, ajustada pelas vari&#225;veis de confundimento, foi utilizada para verificar a rela&#231;&#227;o entre as vari&#225;veis independentes e os n&#237;veis de PCR, que foram tratados como vari&#225;vel dicot&#244;mica (0 = PCR <underline>&lt;</underline> 1,0 mg/dl e 1 = PCR &gt; 1,0 mg/dl). Os resultados indicam o risco estimado (<italic>odds ratio</italic>) e o intervalo de confian&#231;a de 95%, adotando n&#237;vel de signific&#226;ncia menor que 0,05. </p>
    <p><italic>As vari&#225;veis de confundimento</italic> &#150; Auto-relato das morbidades doen&#231;a card&#237;aca, hipertens&#227;o, artrite reumat&#243;ide, diabetes, c&#226;ncer e tendinite foram inclu&#237;das no modelo como vari&#225;veis dicot&#244;micas, com exce&#231;&#227;o da idade, que foi inclu&#237;da como vari&#225;vel cont&#237;nua. As demais vari&#225;veis independentes foram tratadas como categ&#243;ricas, sendo divididas em quartis, em que o primeiro quartil foi designado como referencial. </p>
    <p>A an&#225;lise dos dados do presente estudo foi realizada mediante a utiliza&#231;&#227;o do <italic>Statistical Package for the Social Sciences</italic> (SPSS, vers&#227;o 13.0) <italic>for Windows</italic>.</p>
    <p>
      <bold>Resultados</bold>
    </p>
    <p>A <xref ref-type="table" rid="tab01">tabela 1</xref> descreve a m&#233;dia e as freq&#252;&#234;ncias de acordo com as categorias de PCR. Os resultados demonstram que a maioria da popula&#231;&#227;o se encontra dentro de par&#226;metros normais (54,1%).</p>
    <table-wrap id="tab01">
      <graphic xlink:href="1678-4170-abc-89-04-0231-00004-gt01.jpg"/></table-wrap>
    <p>A <xref ref-type="table" rid="tab02">tabela 2</xref> apresenta as freq&#252;&#234;ncias de doen&#231;as auto-relatadas pelos indiv&#237;duos, divididas pelas categorias de PCR. A hipertens&#227;o foi a principal doen&#231;a, atingindo aproximadamente metade dos indiv&#237;duos. Contudo, menos de 20% dos indiv&#237;duos relataram presen&#231;a de doen&#231;a card&#237;aca. </p>
    <table-wrap id="tab02">
      <graphic xlink:href="1678-4170-abc-89-04-0231-00004-gt02.jpg"/></table-wrap>
    <p>A <xref ref-type="table" rid="tab03">tabela 3</xref> apresenta os valores descritivos das vari&#225;veis idade e de adiposidade corporal, categorizados de acordo com os n&#237;veis de PCR, em que o valor <underline>&lt;</underline> 1,0 mg/l classifica a normalidade, enquanto o valor &gt; 1,0 mg/l indica indiv&#237;duos com eleva&#231;&#227;o do risco cardiovascular. </p>
    <table-wrap id="tab03">
      <graphic xlink:href="1678-4170-abc-89-04-0231-00004-gt03.jpg"/></table-wrap>
    <p>Os resultados demonstram que os valores m&#233;dios da CC foram menores nos indiv&#237;duos com PCR normal. Entretanto, os outros indicadores de adiposidade corporal n&#227;o apresentaram diferen&#231;as significativas entre as categorias investigadas. </p>
    <p>Os resultados da an&#225;lise de regress&#227;o log&#237;stica s&#227;o apresentados na <xref ref-type="table" rid="tab04">Tabela 4</xref>. Apenas o quartil superior de circunfer&#234;ncia de cintura demonstrou influenciar os n&#237;veis elevados de PCR (&gt; 1,0 mg/l), quando comparado ao quartil inferior; sendo assim, indiv&#237;duos com valores superiores a 94,0 cm de CC demonstram o dobro de risco de apresentar n&#237;veis de PCR superiores aos padr&#245;es normais (risco estimado, 2,23). Idade, condi&#231;&#245;es m&#243;rbidas auto-relatadas, IMC e SDC n&#227;o foram preditores dos n&#237;veis de PCR.</p>
    <table-wrap id="tab04">
      <graphic xlink:href="1678-4170-abc-89-04-0231-00004-gt04.jpg"/></table-wrap>
    <p>
      <bold>Discuss&#227;o</bold>
    </p>
    <p>A obesidade, que tem sido descrita como um fator de risco cardiovascular secund&#225;rio, geralmente est&#225; relacionada com altera&#231;&#245;es metab&#243;licas, hipertens&#227;o, diabetes do tipo 2 e dislipidemias<sup>22</sup>. Essas anormalidades contribuem para o desenvolvimento ateroscler&#243;tico<sup>6,23,24</sup>. Al&#233;m da rela&#231;&#227;o com esses fatores, a obesidade tamb&#233;m apresenta rela&#231;&#227;o direta com os n&#237;veis de PCR<sup>25</sup>. </p>
    <p>Os resultados do presente estudo corroboram tais proposi&#231;&#245;es, embora somente a adiposidade abdominal tenha sido relacionada a n&#237;vel aumentado de PCR, independentemente das vari&#225;veis de confundimento, enquanto o IMC e o SDC n&#227;o apresentaram rela&#231;&#227;o significativa. Entretanto, uma rela&#231;&#227;o entre o IMC e os n&#237;veis de PCR tem sido demonstrada em estudos epidemiol&#243;gicos<sup>11,13</sup>.</p>
    <p>A avalia&#231;&#227;o da distribui&#231;&#227;o de gordura corporal pela CC demonstra rela&#231;&#227;o mais precisa com os n&#237;veis elevados de PCR em popula&#231;&#227;o de indiv&#237;duos com sobrepeso que outras mensura&#231;&#245;es de adiposidade global, como o IMC ou o SDC<sup>17,19,26</sup>. Entretanto, a rela&#231;&#227;o cintura-quadril (RCQ), outro m&#233;todo de avalia&#231;&#227;o da adiposidade abdominal, demonstra predizer causas de mortalidade, al&#233;m de estar associada a altera&#231;&#245;es metab&#243;licas relacionadas ao excesso de tecido adiposo corporal, em mulheres idosas brasileiras<sup>22,27</sup>. Esses resultados revelam que o excesso de gordura na regi&#227;o abdominal pode influenciar a sa&#250;de geral de mulheres idosas.</p>
    <p>Em um estudo relacionando a CC com a progress&#227;o ateroscler&#243;tica, observou-se que os indiv&#237;duos com circunfer&#234;ncia superior a 93 cm demonstraram maior espessura m&#233;dia-&#237;ntima da art&#233;ria car&#243;tida (p = 0,035), e tamb&#233;m maior dimens&#227;o da placa de ateroma (p = 0,013)<sup>17</sup>. Em outra investiga&#231;&#227;o sobre os riscos da adiposidade abdominal, foi verificada correla&#231;&#227;o da CC de 0,37 (p &lt; 0,0001) com os n&#237;veis de PCR<sup>26</sup>. No presente estudo, os indiv&#237;duos com valores de CC superior ou igual a 94,0 cm aumentaram em mais de duas vezes o risco de apresentar elevados n&#237;veis de PCR (risco estimado, 2,23; IC 95%, 1,92-4,18), quando comparados a indiv&#237;duos com valores de CC inferiores a 80,0 cm. </p>
    <p>Os valores referenciais para os n&#237;veis de PCR, propostos por Ridker<sup>28</sup>, sugerem a classifica&#231;&#227;o de at&#233; 1 mg/l para pessoas normais, de 1 mg/l a 3 mg/l para pessoas com riscos moderados, e de &gt; 3 mg/l para pessoas com altos riscos card&#237;acos. Percebe-se que os valores do quartil extremo superior da circunfer&#234;ncia de cintura (<underline>&gt;</underline> 94,0 cm), analisados na an&#225;lise de regress&#227;o, se classificam como risco card&#237;aco moderado. Contudo, observou-se que 17,8% de indiv&#237;duos, nesta amostra, foram classificados com risco card&#237;aco elevado &#150; PCR &gt; 3 mg/l (n = 69) (<xref ref-type="table" rid="tab01">tab. 1</xref>).</p>
    <p>Esses valores referenciais indicam que a maioria das mulheres idosas deste estudo s&#227;o aparentemente saud&#225;veis, apesar de relatarem diversas morbidades, por&#233;m as condi&#231;&#245;es m&#243;rbidas relatadas n&#227;o influenciaram a an&#225;lise realizada. Mesmo assim, verifica-se que as mulheres que apresentaram maiores medidas de CC s&#227;o as que revelaram possuir os maiores riscos card&#237;acos. </p>
    <p>O principal fator para que a gordura abdominal se relacione aos n&#237;veis de PCR s&#227;o explicados pelos dist&#250;rbios metab&#243;licos que geralmente acompanham esse tipo de adiposidade<sup>17,29</sup>. A maior preocupa&#231;&#227;o com rela&#231;&#227;o aos indiv&#237;duos com sobrepeso que apresentam n&#237;veis elevados de PCR &#233; o desenvolvimento da aterosclerose, pois o processo inflamat&#243;rio cr&#244;nico, constante e de baixo n&#237;vel da parede arterial &#233; descrito como o principal fator causador da disfun&#231;&#227;o endotelial e da resist&#234;ncia &#224; insulina<sup>6,25</sup>.</p>
    <p>Os n&#237;veis de PCR demonstraram ser preditores independentes para mortalidade por doen&#231;a arterial coronariana em portadores de diabetes do tipo 2; al&#233;m disso, os n&#237;veis de PCR se associam positivamente &#224; mortalidade por causas gerais e cardiovasculares<sup>30,31</sup>.</p>
    <p>Atualmente, a alta preval&#234;ncia de obesidade est&#225; presente na maioria dos pa&#237;ses, independentemente da idade, e esse quadro pode ocasionar diversos problemas &#224; sa&#250;de, como discutido anteriormente. Esse fato pode provocar maiores gastos para a sa&#250;de p&#250;blica, al&#233;m de diminuir a funcionalidade de idosos e aumentar a vulnerabilidade a outras doen&#231;as, desencadeando outros dist&#250;rbios org&#226;nicos. Dessa forma, controlar os n&#237;veis de PCR em indiv&#237;duos com elevada adiposidade abdominal pode ser uma maneira eficiente de diminuir os riscos aterog&#234;nicos e cardiovasculares. </p>
    <p>
      <bold>Limita&#231;&#245;es</bold>
    </p>
    <p>A amostra estudada foi constitu&#237;da de mulheres idosas participantes de grupos comunit&#225;rios e residentes nas proximidades da cidade de Curitiba, Paran&#225;. Dessa forma, este estudo n&#227;o atingiu indiv&#237;duos com graus de depend&#234;ncia mais acentuada, que geralmente permanecem apenas no ambiente familiar. A avalia&#231;&#227;o da adiposidade abdominal foi realizada apenas pela CC. As vari&#225;veis de confundimento, com exce&#231;&#227;o da idade, foram determinadas a partir do m&#233;todo de auto-relato, que, apesar de sua ampla utiliza&#231;&#227;o, pode sub ou superestimar os resultados encontrados. Al&#233;m disso, as dosagens de PCR poderiam ser realizadas por meio de m&#233;todo ultra-sens&#237;vel; entretanto, o m&#233;todo empregado neste estudo tem sido citado em diversos estudos que avaliaram o risco card&#237;aco. </p>
    <p>Para a realiza&#231;&#227;o da an&#225;lise de regress&#227;o log&#237;stica bin&#225;ria &#233; necess&#225;rio caracterizar a vari&#225;vel dependente como dicot&#244;mica; sendo assim, este estudo utilizou o ponto de corte de 1,0 mg/dl de PCR para efetuar a devida an&#225;lise, classificando como normal as dosagens inferiores a esse ponto de corte, e como eleva&#231;&#227;o do risco os valores superiores a ele. Dessa forma, sugere-se a realiza&#231;&#227;o de futuros estudos utilizando outros indicadores de adiposidade abdominal, m&#233;todos mais sens&#237;veis para detectar os n&#237;veis de PCR e outros pontos de corte que indicam diferentes n&#237;veis de risco, a fim de contribuir para a an&#225;lise da influ&#234;ncia da adiposidade corporal nos elevados valores de PCR. </p>
    <p>
      <bold>Conclus&#245;es</bold>
    </p>
    <p>Conclui-se que a adiposidade abdominal &#233; um preditor, independentemente das condi&#231;&#245;es m&#243;rbidas relatadas e da idade, de anormalidades nos n&#237;veis de PCR, nessa popula&#231;&#227;o de mulheres idosas. Contudo, outros indicadores de adiposidade global, como o IMC e o SDC, n&#227;o influenciaram os n&#237;veis de PCR. Tal fato denota o maior risco cardiovascular das mulheres com maior adiposidade abdominal. </p>
    <p>
      <bold>Potencial Conflito de Interesses</bold>
    </p>
    <p>Declaro n&#227;o haver conflitos de interesses pertinentes.</p>
    <p>
      <bold>Fontes de Financiamento</bold>
    </p>
    <p>O presente estudo n&#227;o teve fontes de financiamento externas.</p>
    <p>
      <bold>Vincula&#231;&#227;o Acad&#234;mica</bold>
    </p>
    <p>N&#227;o h&#225; vincula&#231;&#227;o desse estudo a programas de p&#243;s-gradua&#231;&#227;o.</p>
    <p>
      <fn id="end" fn-type="corresp">
        <label>
          <bold>Correspond&#234;ncia:</bold>
        </label>
        <p> Jeffer Eidi Sasaki </p>
        <p> Rua Ant&#244;nio Jos&#233; de Castro 606 </p>
        <p> 38800-000 - S&#227;o Gotardo, MG - Brasil </p>
        <p> E-mail: </p>
        <p>
          <email xlink:href="jeffersasaki@gmail.com">jeffersasaki@gmail.com</email>
        </p>
      </fn>
    </p>
    <p> Artigo recebido em 12/07/06; revisado recebido em 26/03/2007; aceito em 19/04/07.</p>
  </body>
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  <sub-article article-type="translation" id="TRen" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title xml:lang="en">Influence of overall and abdominal adiposity on C-reactive protein levels in elderly women</article-title>
      </title-group>
      <abstract xml:lang="en">
        <p>OBJECTIVE: To investigate how overall and abdominal adiposity, measured by waist circumference (WC), body mass index (BMI), and sum of skinfolds (sigmaSK), affect plasma C-reactive protein levels (CRP) in elderly women. METHODS: Study sample consisted of 387 women older than 60 years (mean age 68.9; standard deviation 5.9 years). BMI, WC, sigmaSK, and CRP levels were all measured. One-way ANOVA was performed to detect differences in study variables among the CRP levels investigated. Logistic regression analysis was used to determine the influence of body fat measurements on CRP levels. The significance level was set at p &lt; 0.05. RESULTS: The analysis of variance showed that mean WC was lower in women with normal CRP levels, as compared to those with high CRP levels. Logistic regression analysis examined the influence of BMI, WC, and sigmaSK quartiles on CRP levels, yielding the following results: only WC was predictive of elevated CRP levels, its highest quartile (cut-off point of 94.0 cm) showing levels nearly two times higher than its lowest quartile (odds ratio = 2.23; 95% confidence interval = 1.92-4.18; p = 0.012). CONCLUSION: The results of this study indicate that abdominal adiposity is a strong predictor of elevated CRP levels.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Adiposity</kwd>
        <kwd>adipose tissue</kwd>
        <kwd>abdominal fat</kwd>
        <kwd>C-reactive protein</kwd>
        <kwd>risk factors</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <p>
        <bold>ORIGINAL ARTICLE</bold>
      </p>
      <p>Influence of overall and abdominal adiposity on C-reactive protein levels in elderly women</p>
      <p>
        <bold>Jeffer Eidi Sasaki; Maressa Priscila Krause; Mirnaluci P. R. Gama; Tatiane Hallage; Cosme Franklin Buzzachera; Maria Gisele dos Santos; Sergio Gregorio da Silva</bold>
      </p>
      <p> Universidade Federal do Paran&#225; e Faculdade Evang&#233;lica do Paran&#225; &#150; Curitiba, PR &#150; Brazil</p>
      <p>
        <xref ref-type="corresp" rid="end-body2">Mailing address</xref>
      </p>
      <p>
        <bold>SUMMARY</bold>
      </p>
      <p><bold>OBJECTIVE:</bold> To investigate how overall and abdominal adiposity, measured by waist circumference (WC), body mass index (BMI), and sum of skinfolds (SSK), affect plasma C-reactive protein levels (CRP) in elderly women. </p>
      <p><bold>METHODS:</bold> Study sample consisted of 387 women older than 60 years (mean age 68.9; standard deviation 5.9 years). BMI, WC, SSK, and CRP levels were all measured. One-way ANOVA was performed to detect differences in study variables among the CRP levels investigated. Logistic regression analysis was used to determine the influence of body fat measurements on CRP levels. The significance level was set at p &lt; 0.05.</p>
      <p><bold>RESULTS:</bold> The analysis of variance showed that mean WC was lower in women with normal CRP levels, as compared to those with high CRP levels. Logistic regression analysis examined the influence of BMI, WC, and SSK quartiles on CRP levels, yielding the following results: only WC was predictive of elevated CRP levels, its highest quartile (cut-off point of 94.0 cm) showing levels nearly two times higher than its lowest quartile (odds ratio = 2.23; 95% confidence interval = 1.92-4.18; p = 0.012).</p>
      <p><bold>CONCLUSION:</bold> The results of this study indicate that abdominal adiposity is a strong predictor of elevated CRP levels.</p>
      <p><bold>Key words:</bold> Adiposity; risk factors; atherosclerosis; women.</p>
      <p>
        <bold>Introduction</bold>
      </p>
      <p>Cardiovascular diseases have been a constant cause for concern of modern civilization, and they are the leading cause of death in the Western world and in the Brazilian population<sup>1,2</sup>. Most cardiovascular disorders result from atherosclerosis, a condition that may be influenced by risk factors such as obesity, smoking, diabetes, hypertension, and sedentariness<sup>3,4</sup>.</p>
      <p>The pathogenesis of atherosclerosis involves a chronic, persistent inflammatory process of the arterial wall, thereby activating cell proliferation, forming an atheroma and, ultimately, the fibroatheroma<sup>3,5,6</sup>.</p>
      <p>The development of atherosclerosis is asymptomatic and increases with age. Chronic atherosclerosis is a slow, progressive condition, but there are also acute cases. Clinical diagnosis depends on the progression of the atherosclerotic plaque, which, in turn, may be affected by both aging and factors that predispose to thrombosis, as well as genetic background and environmental factors<sup>6</sup>.</p>
      <p>Persistent inflammation of the arterial wall in the atherosclerotic process tends to elevate plasma C-reactive protein (CRP) levels, an acute-phase protein that increases in response to inflammation and infection<sup>7</sup>. For this reason, CRP measurement may be used as a diagnostic tool for predicting cardiovascular risks<sup>8</sup>, provided it is performed in the absence of other inflammations and infections.</p>
      <p>High plasma CRP levels are an independent risk factor for cardiovascular and coronary artery diseases<sup>9,10</sup>. Hypertension and diabetes may also be related to increased CRP levels<sup>9</sup>. Nevertheless, body adiposity seems to be the risk factor most related to these changes<sup>11-16</sup>.</p>
      <p>Excess (body) fat, particularly visceral fat, is an indicator of metabolic disorders, such as hypertriglyceridemia, high level of low-density lipoprotein cholesterol (LDL-cholesterol), low level of high-density lipoprotein cholesterol (HDL-cholesterol), and greater insulin resistance and glucose intolerance, all of which may potentiate atherosclerosis.</p>
      <p>The relationship between abdominal adiposity and CRP levels increases when body fat distribution is measured by waist circumference (WC)<sup>17,18</sup>. Waist and hip circumferences have shown correlations of 0.62 and 0.65, respectively, with CRP levels adjusted for age, while body mass index (BMI) has shown lesser association (r = 0,14)<sup>19</sup>. Therefore, CRP appears to be a method that is easy to use and reproduce, both in clinical practice and epidemiological studies. The aim of this study is to determine how overall adiposity and abdominal adiposity, measured by BMI, total sum of skinfolds (SSK), and waist circumference (WC), affect CRP levels in elderly women.</p>
      <p>
        <bold>Methods</bold>
      </p>
      <p>This was a cross-sectional, observational, descriptive study. Data were collected between April and July, 2006.</p>
      <p><italic>Sample population - </italic>In order to select a stratified sample, the following steps were taken: 1) Registering of community groups in Curitiba, state of Paran&#225;, a joint effort with institutions focused on recreational activities for the population of the respective geographic area. 2) Mapping of all groups registered with the eight districts of the municipality. 3) Simple random selection of the groups that would be invited to participate in the study, per district. 4) Visit to the groups to explain study procedures and invite voluntary participation not only of the subjects but also of their family members and close friends.</p>
      <p>After sample selection, as described, a timeframe for data collection was developed. Study sample included 387 women (mean age 68.9; standard deviation 5.9) who were 60 years or older at the time data were collected.</p>
      <p>After being fully informed of the purpose of the study, as well as its procedures, benefits and potential risks, each subject signed an informed consent for voluntary participation in the study. The study protocol was approved by the Ethics Committee of the Setor de Ci&#234;ncias Biol&#243;gicas of the Universidade Federal do Paran&#225;, in accordance with the guidelines set forth in the Helsinki Declaration and also with Resolution No 196/96 of the Conselho Nacional de Sa&#250;de (National Health Board) for research involving human subjects.</p>
      <p><italic>Instruments and procedures </italic>- To avoid any influence of circadian variations, all measurements were performed at the same time of the day (8:00 to 10:00).In addition, subjects were instructed to refrain from vigorous physical activity on the preceding day and not to eat for two hours prior to the tests. Measurements were performed at the Physical Education Department - Physiology Laboratory of the Research Center Research Unit for Exercise and Sports of the Universidade Federal do Paran&#225;.</p>
      <p><italic>Study variables </italic>- Anthropometric variables were taken as described by Lohman et al.<sup>20</sup>. Body height (in centimeters) was measured with subjects standing barefoot, feet together, and wearing as little clothing as possible. Also, patients were instructed to hold their breath and keep their head at 90 degrees, according to the Frankfurt plane, with heels, pelvic girdle, shoulder girdle, and occipital region against a wall-mounted stadiometer (SANNY, STANDARD model, accurate to 0.1 cm). Body mass (in kilograms) was measured with subjects standing barefoot and wearing as little clothing as possible. Body weight should be evenly distributed between both legs while standing on the weighing scale (2096 PP TOLEDO, accurate to 0.1 kg). Body mass index was calculated from the formula weight in kilograms divided by height in meters squared. Waist circumference (in centimeters) was measured midway between the iliac crest and the lowest rib, using a nonstretch measuring tape accurate to 0.1 cm. </p>
      <p>Skinfolds were measured to the nearest 0.05 mm using a Lange skinfold caliper at the following anatomical sites: triceps, abdomen, supra-iliac, mid-thigh, and mid-calf, all on the right side of the body. Body fat was estimated according to the Jackson and Pollock&#146;s equation<sup>21</sup>. </p>
      <p>To prevent inter-rater variability, all anthropometric variables (BMI, height, WC, and skinfolds), in all subjects, were taken by the same previously trained rater. </p>
      <p>C-reactive protein levels were determined by a particle-enhanced turbidimetric method using the COBAS MIRA PLUS spectrophotometer (Roche Diagnostics), with calibrator and control serum supplied by Biosystem (Bayer<sup>&#174;</sup>). </p>
      <p><italic>Confounding variables</italic> &#150; The presence of diseases was based on self-report through the following question: "Have you been diagnosed by your doctor as having (disease)? Thus, this variable was coded as dichotomous (yes/no).</p>
      <p><italic>Statistical analysis - </italic>The Kolmogorov-Smirnov normality test was applied, indicating that variables had a parametric distribution. Measures of central tendency and variability were used to determine descriptive values (mean and standard deviation), as well as absolute and relative frequencies. One-way ANOVA was used to detect differences between independent variables in the CRP concentration ranges of <underline>&lt;</underline> 1.0 mg/dL and &gt; 1.0 mg/dL.</p>
      <p>Logistic regression analysis, adjusted for confounding variables, was used to check the relationship between the independent variables and CRP levels, which were treated as dichotomous variables (0 = CRP <underline>&lt;</underline> 1.0 mg/dL and 1 = CRP &gt; 1.0 mg/dL). Our results indicate odds ratio and 95% confidence interval; the significance level was set at less than 0.05. </p>
      <p><italic>Confounding variables</italic> &#150; Self-reported heart disease, hypertension, rheumatoid arthritis, diabetes, cancer, and tendinitis were included in the model as dichotomous variables, except for age, which was included as continuous variable. The other independent variables were treated as categorical and divided in quartiles, and the first quartile served as reference. </p>
      <p>Data analysis was performed using Statistical Package for the Social Sciences (SPSS 13.0 for Windows).</p>
      <p>
        <bold>Results</bold>
      </p>
      <p><xref ref-type="table" rid="tab01-body2">Table 1</xref> presents means and frequencies according to CRP levels. The results demonstrate that the majority of population is within normal ranges (54.1%).</p>
      <table-wrap id="tab01-body2">
        <graphic xlink:href="1678-4170-abc-89-04-0231-00004-gt01-en.jpg"/></table-wrap>
      <p><xref ref-type="table" rid="tab02-body2">Table 2</xref> shows the frequencies of self-reported diseases according to CRP levels. Hypertension was the most common disease, striking nearly half of the sample. However, less than 20% of the subjects reported heart disease. </p>
      <table-wrap id="tab02-body2">
        <graphic xlink:href="1678-4170-abc-89-04-0231-00004-gt02-en.jpg"/></table-wrap>
      <p><xref ref-type="table" rid="tab03-body2">Table 3</xref> shows descriptive values for age and body fat, according to CRP levels. Subjects with values <underline>&lt;</underline> 1.0 mg/L are within normal ranges, while subject with values &gt; 1.0 mg/L are at higher cardiovascular risk. </p>
      <table-wrap id="tab03-body2">
        <graphic xlink:href="1678-4170-abc-89-04-0231-00004-gt03-en.jpg"/></table-wrap>
      <p>Mean WC values were lower in subjects with normal CRP levels. However, no significant differences were found in other measures of body fat between the CRP levels investigated. </p>
      <p>The results of the logistic regression analysis are shown in <xref ref-type="table" rid="tab04-body2">Table 4</xref>. Only the highest quartile of waist circumference was found to be associated with increased CRP levels (&gt; 1.0 mg/l), as compared to the lowest quartile; therefore, the risk of having CRP levels above the normal range (odds ratio 2.23) is twice as high in subjects with WC greater than 94.0 cm. Age, self-reported diseases, BMI, and SSF were not predictive of CRP levels.</p>
      <table-wrap id="tab04-body2">
        <graphic xlink:href="1678-4170-abc-89-04-0231-00004-gt04-en.jpg"/></table-wrap>
      <p>
        <bold>Discussion</bold>
      </p>
      <p>Obesity, which has been described as a secondary cardiovascular risk factor, is usually related to metabolic changes, hypertension, type-2 diabetes, and dyslipidemias<sup>22</sup>. These abnormalities contribute to the development of atherosclerosis<sup>6,23,24</sup>. In addition to its relationship with these factors, obesity is directly related to CRP levels<sup>25</sup>.</p>
      <p>Our results corroborate these findings, although only abdominal fat has been associated with increased CRP levels, regardless of the confounding variables, whereas BMI and SSK have shown no significant association. Nevertheless, the relationship between BMI and CRP levels has been demonstrated in epidemiological studies <sup>11,13</sup>.</p>
      <p>Body fat distribution based on WC shows a more accurate relationship with elevated CRP levels in overweight subjects than other measurements of overall adiposity, such as BMI or SSF<sup>17,19,26</sup>. However, waist-to-hip ratio (WHR), another method for assessing abdominal adiposity, seems to predict mortality causes, in addition to being associated with metabolic changes related to excess body fat in Brazilian elderly women<sup>22,27</sup>. These findings demonstrate that excess abdominal fat may affect general health in elderly women.</p>
      <p>In a study correlating WC with atherosclerosis progression, subjects with waist circumference greater than 93 cm had increased carotid artery intima-media thickness (<italic>p</italic> = 0.035), as well as higher plaque size (<italic>p</italic> = 0.013)<sup>17</sup>. In another study on the risks associated with abdominal fat, a significant correlation was found between WC and CRP levels (0.37; <italic>p</italic> &lt; 0.0001)<sup>26</sup>. In the present study, subjects with WC equal to or greater than 94.0 cm were twice as likely to have elevated CRP levels (odds ratio 2.23; 95% CI: 1.92-4.18) than subjects with WC less than 80.0 cm.</p>
      <p>According to Ridker<sup>28</sup>, CRP levels &lt; 1, between 1 and 3, and &gt; 3 mg/L are associated with low, moderate, and high cardiac risks, respectively. The highest quartile of waist circumference (<underline>&gt;</underline> 94.0 cm), as demonstrated by regression analysis, has moderate cardiac risk. In this sample, however, 17.8% of these subjects were classified as having high cardiac risk (CRP &gt; 3 mg/L; n = 69) (<xref ref-type="table" rid="tab01-body2">Table 1</xref>).</p>
      <p>These reference values indicate that most elderly women in this study seem to be healthy, despite reporting several diseases; the diseases reported, however, failed to influence the analysis. Still, women with the largest WC were found to have the highest cardiovascular risk. </p>
      <p>The metabolic disorders that usually come with this type of adiposity may explain the correlation between abdominal fat and CRP levels<sup>17,29</sup>. The primary concern regarding overweight subjects with high CRP levels is related with the development of atherosclerosis, since the low-level, persistent, chronic inflammatory process of the arterial wall is described as the main cause of endothelial dysfunction and insulin resistance<sup>6,25</sup>.</p>
      <p>C-reactive protein levels have shown to be independent predictors for mortality from coronary artery disease in patients with type-2 diabetes, and are positively associated with overall and cardiovascular mortality<sup>30,31</sup>. </p>
      <p>Today, obesity is highly prevalent in most countries, regardless of age, and this condition may cause a number of health problems, as stated previously. This may increase public health costs, in addition to making the elderly less functional and more vulnerable to other diseases, thereby triggering other organic disorders. Therefore, controlling CRP levels in subjects with high abdominal fat may be effective to lower atherogenic and cardiovascular risks.</p>
      <p>
        <bold>Limitations</bold>
      </p>
      <p>The study sample consisted of elderly women living near the city of Curitiba, state of Paran&#225;, who attended community groups. Thus, it did not reach subjects with a higher level of dependence, who usually remain in their homes. Abdominal fat was based solely on WC. Confounding variables, except for age, were determined by the self-report method, which, despite being widely used, may under- or overestimate the results. Moreover, CRP levels could have been measured using a high-sensitivity assay (hs-CRP); however, the method used in this study has been described in several studies assessing cardiovascular risk. </p>
      <p>To perform a binary logistic regression analysis, the dependent variable must be defined as dichotomous. Therefore, the CRP value of 1.0 mg/dL was used as the cut-off point, lower values being defined as normal and greater values, as increased risk. We suggest, therefore, that further studies be conducted using other indicators of abdominal obesity, methods more sensitive to determine CRP levels, and other cut-off points for different risk levels, to improve our understanding of the influence of body fat on CRP values.</p>
      <p>
        <bold>Conclusions</bold>
      </p>
      <p>It was concluded that, in this population of elderly women, abdominal fat was predictive of abnormal CRP levels, regardless of the self-reported diseases. However, other indicators of overall adiposity, such as BMI and SSF, had no influence on CRP levels. This finding shows that women with greater abdominal fat are at higher cardiovascular risk.</p>
      <p>
        <bold>Potential Conflict of Interest</bold>
      </p>
      <p>No potential conflict of interest relevant to this article was reported.</p>
      <p>
        <bold>Sources of Funding</bold>
      </p>
      <p>There were no external funding sources for this study.</p>
      <p>
        <bold>Study Association</bold>
      </p>
      <p>This study is not associated with any graduation program.</p>
      <p>
        <bold>References</bold>
      </p>
      <p>
        <fn id="end-body2" fn-type="corresp">
          <label>
            <bold>Mailing address:</bold>
          </label>
          <p> Jeffer Eidi Sasaki</p>
          <p> Rua Ant&#244;nio Jos&#233; de Castro 606</p>
          <p> 38800-000 - S&#227;o Gotardo, MG - Brazil</p>
          <p> E-mail: </p>
          <p>
            <email xlink:href="jeffersasaki@gmail.com">jeffersasaki@gmail.com</email>
          </p>
        </fn>
      </p>
      <p> Manuscript received July 12, 2006; revised manuscript received March 26, 2007; accepted April 19, 2007</p>
    </body>
  </sub-article>
</article>
