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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.1" specific-use="sps-1.9" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijcs</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Cardiovascular Sciences</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Int. J. Cardiovasc. Sci.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2359-4802</issn>
      <issn pub-type="epub">2359-5647</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v3">3k634gdZ7QdpbBwGpk6c8gK</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S2359-56472020000300245</article-id>
      <article-id pub-id-type="publisher-id" specific-use="previous-pid">S2359-56472020005001210</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20190055</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>ORIGINAL ARTICLE</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Association between Central Obesity and Biochemical Markers of Cardiometabolic Risk in Elderly Attended in Geriatric Ambulatory - Lagarto/SE</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-3734-4347</contrib-id>
          <name>
            <surname>Almeida</surname>
            <given-names>Ana Caroline de Souza</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-1196-0683</contrib-id>
          <name>
            <surname>Oliveira</surname>
            <given-names>Carolina Cunha de</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-9028-3646</contrib-id>
          <name>
            <surname>Costa</surname>
            <given-names>Emanuelle Dias</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-6226-6419</contrib-id>
          <name>
            <surname>Deir&#243;</surname>
            <given-names>Adenilda Queiroz S</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Universidade Federal de Sergipe</institution>
        <addr-line>
          <city>Sergipe</city>
          <state>SE</state>
        </addr-line>
        <country country="BR">-</country>
        <institution content-type="original">Universidade Federal de Sergipe, Sergipe, SE - Brazil</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Universidade Federal da Bahia</institution>
        <addr-line>
          <city>Salvador</city>
          <state>BA</state>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Universidade Federal da Bahia, Salvador, BA - Brazil</institution>
      </aff>
      <author-notes>
        <corresp id="c1"><bold>Mailing Address: Carolina Cunha de Oliveira</bold>, Funda&#231;&#227;o Universidade Federal de Sergipe - Departamento de Nutri&#231;&#227;o - Avenida Governador Marcelo D&#233;da, 13. Postal Code: 49400-000, Centro, Lagarto Sergipe, SE - Brazil. E-mail: <email>carol_cunh@yahoo.com.br</email>
				</corresp>
        <fn fn-type="con">
          <p>
            <bold>Author contributions</bold>
          </p>
          <p>Conception and design of the research: Oliveira CC, Costa ED. Acquisition of data: Costa ED. Analysis and interpretation of the data: Almeida ACS, Oliveira CC, Deir&#243; AQS. Statistical analysis: Oliveira CC. Obtaining financing: Oliveira CC. Writing of the manuscript: Almeida ACS. Critical revision of the manuscript for intellectual content: Almeida ACS, Oliveira CC, Costa ED, Deir&#243; AQS.</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>
      <pub-date date-type="pub" publication-format="electronic">
        <day>3</day>
        <month>2</month>
        <year>2020</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <season>May-Jun</season>
        <year>2020</year>
      </pub-date>
      <volume>33</volume>
      <issue>03</issue>
      <fpage>245</fpage>
      <lpage>251</lpage>
      <history>
        <date date-type="received">
          <day>25</day>
          <month>02</month>
          <year>2019</year>
        </date>
        <date date-type="rev-recd">
          <day>26</day>
          <month>05</month>
          <year>2019</year>
        </date>
        <date date-type="accepted">
          <day>30</day>
          <month>07</month>
          <year>2019</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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Backgroud:</title>
          <p>Central obesity, especially visceral adipose tissue (VAT), represents a health risk due to its endocrine and metabolic capacity, contributing to the development of the atherogenic profile and strongly associating with cardiovascular morbimortality.</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>To identify the association between central obesity and biochemical markers of cardiometabolic risk in elderly patients treated at a geriatric outpatient clinic in Lagarto-SE.</p>
        </sec>
        <sec>
          <title>Method:</title>
          <p>This is a cross-sectional study of 159 elderly people of both sexes. Central adiposity was considered an independent variable, identified by measuring the Waist Circumference (WC). Total Cholesterol (TC), LDL-c, HDL-c, non-HDL-c, triglycerides, glycemia and Castelli I and II indices were considered dependent variables. Pearson's chi-square test was used to evaluate the association between central obesity and biochemical markers of cardiometabolic risk. Those with p &lt; 0.20 were used in the bivariate regression analysis, adopting a 95% confidence interval.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>Mean age was 70.9 &#177; 7.5 years. Central obesity was present in 43.2% of males and 56.8% of females (p = 0.002). There was statistically significant association between HDL-c, HDL-C and Castelli I Index and central obesity. Individuals with central obesity are 2.48 and 3.13 times more likely to develop changes in HDL-C and Castelli I index, respectively.</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>There is an association between central obesity and biochemical markers of cardiometabolic risk in the elderly.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Cardiovascular Diseases</kwd>
        <kwd>Obesity</kwd>
        <kwd>Metabolic Syndrome</kwd>
        <kwd>Hypertension</kwd>
        <kwd>Diabetes Mellitus</kwd>
        <kwd>Risk Factors</kwd>
        <kwd>Prevention and Control</kwd>
        <kwd>Dyslipidemias</kwd>
        <kwd>Life Style</kwd>
        <kwd>Elderly</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>Cardiometabolic risk factors (RF) have been widely studied nowadays, with special focus on central obesity, excessive weight, dyslipidemia, Systemic Arterial Hypertension (SAH), insulin resistance and Diabetes Mellitus (DM).<xref ref-type="bibr" rid="B1">1</xref><sup>-</sup><xref ref-type="bibr" rid="B4">4</xref> Central obesity, especially visceral adipose tissue (VAT), represents a health risk due to its metabolic and endocrine capacity, contributing to the development of an atherogenic profile, in addition to being strongly associated with cardiovascular morbidity and mortality.<xref ref-type="bibr" rid="B5">5</xref><sup>,</sup><xref ref-type="bibr" rid="B6">6</xref>
			</p>
      <p>Roriz et al.,<xref ref-type="bibr" rid="B7">7</xref> highlight that metabolic changes that promote the onset of chronic diseases are more related with visceral adipose tissue than with excessive weight, and that these conditions increase the need for drug treatment and interfere in the quality of life of individuals.</p>
      <p>The individuals with high VAT levels tend to have insulin resistance, hyperglycemia, hypertriglyceridemia, increased low density lipoprotein (LDL) serum levels and reduced high density lipoprotein (HDL-C) concentration.<xref ref-type="bibr" rid="B8">8</xref> HDL-C reduction in viscerally obese patients represents the main factor responsible for increased total cholesterol/HDL-C ratio, and this relationship is a strong risk predictor for cardiovascular disease.<xref ref-type="bibr" rid="B5">5</xref><sup>,</sup><xref ref-type="bibr" rid="B6">6</xref><sup>,</sup><xref ref-type="bibr" rid="B9">9</xref>
			</p>
      <p>According to Piepoli et al.,<xref ref-type="bibr" rid="B10">10</xref> age is the main cardiovascular risk factor and most individuals aged 65 years are already considered at high risk. Thus, it is of major relevance to determine the associations of metabolic RF with advanced age, especially among the population in the northeast of Brazil, where there are no studies in this context, due to its negative influence on functional capacity, as well as to the costs incurred to the Brazilian Unified Health System (SUS) for its treatment.<xref ref-type="bibr" rid="B11">11</xref><sup>-</sup><xref ref-type="bibr" rid="B14">14</xref>
			</p>
      <p>The objective of this study is to determine the association between central obesity and biochemical markers of cardiometabolic risk in elderly patients treated at a geriatric outpatient clinic in the city of Lagarto-SE.</p>
    </sec>
    <sec sec-type="materials|methods">
      <title>Materials and Methods</title>
      <p>This is a cross-sectional, primary data collection study, composed by a sample selected by convenience of 159 elderly individuals (aged &#8805; 60 years), of both sexes, treated at a geriatric outpatient clinic in the city of Lagarto-SE.</p>
      <p>The inclusion criteria used in the research were: patients aged &#8805; 60 years, registered at the reference outpatient service and who accepted to participate voluntarily. The exclusion criteria were: patients with abdominal injury or tumors, hepatomegaly and/or splenomegaly, ascites and those who had undergone abdominal surgery recently which could compromise the verification of abdominal fat measures.</p>
      <p>The data were collected using a standardized questionnaire, applied by duly trained individuals, following standardized procedures for data collection, such as quality control measures and consistency of information.</p>
      <p>The selected covariables were: sex (male and female), age in complete years, self-referred skin color (black; non-black), education (uneducated/Incomplete middle school, complete middle school/Incomplete high school, complete high school or more), occupation (receiving assistance/Organic Law of Social Assistance - LOAS), retired, living on income or pension).</p>
      <p>Central adiposity (the accumulation of adipose tissue in the abdominal region) was considered an independent variable, determined by waist circumference (WC) measurement, using an inelastic anthropometric tape (Cescorf, Brazil), in accordance with the measurement techniques proposed by Lohman et al.,<xref ref-type="bibr" rid="B15">15</xref> and classified according to the International Diabetes Federation (IDF) criteria<xref ref-type="bibr" rid="B16">16</xref> for South American individuals, when WC &#8805; 80 cm and &#8805; 90 cm for women and men, respectively.</p>
      <p>Total cholesterol (TC), LDL-C, HDL-C, Non HDL-C, Triglycerides (TG), Glucose and Castelli's I and II risk indexes were considered dependent variables, obtained upon request and/or through analysis of data contained in the geriatric medical record, over a period of less than one month from data collection. To perform the classification, the criteria established by the V Brazilian Guidelines on Dyslipidemia and Atherosclerosis Prevention<xref ref-type="bibr" rid="B17">17</xref> and by the Brazilian Diabetes Society Guidelines<xref ref-type="bibr" rid="B18">18</xref> were used: TC &lt; 200 mg/dL; LDL-C &lt; 160 mg/dL; HDL-C &gt; 40 mg/dl in men and &gt; 50 mg/dl in women; non-HDL-C &lt; 130 mg/dL, TG &lt; 150 mg/dL and Glucose &lt; 100 mg/dL.</p>
      <p>Castelli risk index-I (CRI-I) is calculated as TC/HDLc and Castelli risk index-II (CRI-II), as LDLc/HDLc. TC/HDL-C ratio &gt; 4.7 and LDL-C/HDL-C ratio &gt; 3.1 indicate high metabolic risk.</p>
      <sec>
        <title>Statistical Analysis</title>
        <p>Statistical software SPSS (version 20.0) was used for statistical analysis. The categorical variables were expressed as percentages and the continuous variables, as mean and standard deviation or median and interquartile interval, according to the distribution pattern. The normality of continuous variables distribution was evaluated using the Kolmogorov-Smirnov test. For parametric and nonparametric variables, the unpaired student's t-test and the Mann-Whitney test were used, respectively, for independent samples. All analyses were performed with the statistical significance level of 5% (p &lt; 0.05). Pearson's chi-square test was used to assess the association between central obesity and biochemical markers of cardiometabolic risk. Those with p &lt; 0.20 were included in the bivariate logistic regression analysis, adopting a CI of 95%.</p>
      </sec>
      <sec>
        <title>Ethical aspects</title>
        <p>This study was approved by the Committee of Ethics in Research of the Federal University of Sergipe, under the protocol number 559.936, complying with the Resolution 466/2012 on researches involving human beings of the National Health Council of the Brazilian Ministry of Health. Participation in the study was voluntary, by previous signature or digital impression of the Term of Free and Clarified Consent, after patients had been informed about the objectives of the study and the procedures to which they would be submitted. The study did not involve high risk procedures for the individuals. The institution was notified of cases of elderly patients classified as severely ill, so that the necessary procedures and referrals would be performed.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>The sample was characterized as individuals with or without central obesity. Thus, out of the 159 of the elderly assessed, central obesity was present in 43.2% of men and 56.8% of women (p = 0.002), with a higher prevalence among black patients (56.8%), uneducated/incomplete middle school (90.4%), retired (87.9%) and with excessive weight (51.2%) (p &lt; 0.001) (<xref ref-type="table" rid="t1">Table 1</xref>).</p>
      <table-wrap id="t1">
        <label>Table 1</label>
        <caption>
          <title>Description of elderly patients treated at a geriatric outpatient clinic in the city of Lagarto-SE, stratified by central obesity</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup>
            <col width="20%"/>
            <col width="20%"/>
            <col width="20%"/>
            <col width="20%"/>
            <col width="20%"/>
          </colgroup>
          <thead>
            <tr style="border-bottom-width:thin;border-bottom-style:solid">
              <th align="left" rowspan="3" style="background-color:#C5C6C8">Variables</th>
              <th align="center" rowspan="2" style="background-color:#C5C6C8">Sample</th>
              <th align="center" colspan="2" style="background-color:#C5C6C8">Central obesity</th>
              <th align="center" rowspan="3" style="background-color:#C5C6C8">p</th>
            </tr>
            <tr style="border-bottom-width:thin;border-bottom-style:solid">
              <th align="center" style="background-color:#C5C6C8">No</th>
              <th align="center" style="background-color:#C5C6C8">Yes</th>
            </tr>
            <tr>
              <th align="center" style="background-color:#C5C6C8">n (%)</th>
              <th align="center" style="background-color:#C5C6C8">n (%)</th>
              <th align="center" style="background-color:#C5C6C8">n (%)</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left">Sex</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Male</td>
              <td align="center">79 (49.7)</td>
              <td align="center">25 (73.5)</td>
              <td align="center">54 (43.2)</td>
              <td align="center" rowspan="2">0.002</td>
            </tr>
            <tr>
              <td align="left">Female</td>
              <td align="center">80 (50.3)</td>
              <td align="center">9 (26.5)</td>
              <td align="center">71 (56.8)</td>
            </tr>
            <tr>
              <td align="left">Skin color</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Black</td>
              <td align="center">96 (60.4)</td>
              <td align="center">25 (73.5)</td>
              <td align="center">71 (56.8)</td>
              <td align="center" rowspan="2">0.077</td>
            </tr>
            <tr>
              <td align="left">Non-black</td>
              <td align="center">63 (39.6)</td>
              <td align="center">9 (26.5)</td>
              <td align="center">54 (43.2)</td>
            </tr>
            <tr>
              <td align="left">Education</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Uneducated/Incomplete middle school</td>
              <td align="center">144 (90.6)</td>
              <td align="center">31 (91.2)</td>
              <td align="center">113 (90.4)</td>
              <td align="center" rowspan="3">0.301</td>
            </tr>
            <tr>
              <td align="left">Complete middle school/incomplete high school</td>
              <td align="center">6 (3.8)</td>
              <td align="center">0 (0.0)</td>
              <td align="center">6 (4.8)</td>
            </tr>
            <tr>
              <td align="left">Complete high school or more</td>
              <td align="center">9 (5.7)</td>
              <td align="center">3 (8.8)</td>
              <td align="center">6 (4.8)</td>
            </tr>
            <tr>
              <td align="left">Current occupation</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Receiving assistance/LOAS</td>
              <td align="center">4 (2.5)</td>
              <td align="center">1 (2.9)</td>
              <td align="center">3 (2.4)</td>
              <td align="center" rowspan="5">0.773</td>
            </tr>
            <tr>
              <td align="left">Retired</td>
              <td align="center">140 (88.1)</td>
              <td align="center">31 (91.2)</td>
              <td align="center">109 (87.9)</td>
            </tr>
            <tr>
              <td align="left">Living on income or pension</td>
              <td align="center">4 (2.5)</td>
              <td align="center">0 (0.0)</td>
              <td align="center">4 (3.2)</td>
            </tr>
            <tr>
              <td align="left">Others</td>
              <td align="center">8 (5.0)</td>
              <td align="center">1 (2.9)</td>
              <td align="center">7 (5.6)</td>
            </tr>
            <tr>
              <td align="left">Unknown</td>
              <td align="center">3 (1.9)</td>
              <td align="center">1 (2.9)</td>
              <td align="center">2 (1.6)</td>
            </tr>
            <tr>
              <td align="left">Nutritional state</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Low weight</td>
              <td align="center">37 (23.3)</td>
              <td align="center">21 (61.8)</td>
              <td align="center">16 (12.8)</td>
              <td align="center" rowspan="3">&lt; 0.001</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">57 (35.8)</td>
              <td align="center">12 (35.3)</td>
              <td align="center">45 (36.0)</td>
            </tr>
            <tr>
              <td align="left">Overweight</td>
              <td align="center">65 (40.9)</td>
              <td align="center">1 (2.9)</td>
              <td align="center">64 (51.2)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>LOAS: Organic Law of Social Assistance.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>The individuals' mean age was 70.9 &#177; 7.5 years. When the mean values of biochemical markers were assessed, no statistical significance was observed for individuals with or without central obesity (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
      <table-wrap id="t2">
        <label>Table 2</label>
        <caption>
          <title>Descriptive analysis of the variables "age" and "biochemical markers of cardiometabolic risk", stratified by central obesity, in elderly patients treated at a geriatric outpatient clinic in the city of Lagarto-SE</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup>
            <col width="20%"/>
            <col width="20%"/>
            <col width="20%"/>
            <col width="20%"/>
            <col width="20%"/>
          </colgroup>
          <thead>
            <tr style="border-bottom-width:thin;border-bottom-style:solid">
              <th align="left" rowspan="3" style="background-color:#C5C6C8">Variables</th>
              <th align="center" rowspan="3" style="background-color:#C5C6C8">Sample</th>
              <th align="center" colspan="2" style="background-color:#C5C6C8">Central obesity</th>
              <th align="center" rowspan="3" style="background-color:#C5C6C8">p</th>
            </tr>
            <tr style="border-bottom-width:thin;border-bottom-style:solid">
              <th align="center" style="background-color:#C5C6C8">No</th>
              <th align="center" style="background-color:#C5C6C8">Yes</th>
            </tr>
            <tr>
              <th align="center" style="background-color:#C5C6C8">(n = 34)</th>
              <th align="center" style="background-color:#C5C6C8">(n = 125)</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left">Age</td>
              <td align="center">70.9 (7.5)</td>
              <td align="center">70.9 (8.4)</td>
              <td align="center">70.9 (7.2)</td>
              <td align="center">0.962</td>
            </tr>
            <tr>
              <td align="left">TC</td>
              <td align="center">192.4 (41.7)</td>
              <td align="center">190.7 (51.3)</td>
              <td align="center">192.9 (38.9)</td>
              <td align="center">0.791</td>
            </tr>
            <tr>
              <td align="left">LDL-C<sup><xref ref-type="table-fn" rid="TFN3">a</xref></sup></td>
              <td align="center">142.0 (119.0-173.0)</td>
              <td align="center">141.7 (114.7-174.3)</td>
              <td align="center">143.0 (118.0-173.0)</td>
              <td align="center">0.993</td>
            </tr>
            <tr>
              <td align="left">HDL-C<sup><xref ref-type="table-fn" rid="TFN3">a</xref></sup></td>
              <td align="center">41.0 (38.0-44.0)</td>
              <td align="center">41.0 (37.8-51.0)</td>
              <td align="center">40.0 (37.5-43.0)</td>
              <td align="center">0.309</td>
            </tr>
            <tr>
              <td align="left">Non-HDL-C</td>
              <td align="center">150.4 (42.4)</td>
              <td align="center">147.3 (51.2)</td>
              <td align="center">151.3 (39.8)</td>
              <td align="center">0.628</td>
            </tr>
            <tr>
              <td align="left">TG<sup><xref ref-type="table-fn" rid="TFN3">a</xref></sup></td>
              <td align="center">149.0 (137.0-167.0)</td>
              <td align="center">141.0 (130.5-162.5)</td>
              <td align="center">149.0 (139.0-167.5)</td>
              <td align="center">0.114</td>
            </tr>
            <tr>
              <td align="left">Glucose<sup><xref ref-type="table-fn" rid="TFN3">a</xref></sup></td>
              <td align="center">99.0 (91.0-121.0)</td>
              <td align="center">98.5 (87.7 -121.0)</td>
              <td align="center">101.0 (101.0-125.5)</td>
              <td align="center">0.334</td>
            </tr>
            <tr>
              <td align="left">Castelli's index I</td>
              <td align="center">4.7 (1.3)</td>
              <td align="center">4.5 (1.5)</td>
              <td align="center">4.8 (1.2)</td>
              <td align="center">0.381</td>
            </tr>
            <tr>
              <td align="left">Castelli's index II</td>
              <td align="center">3.5 (1.1)</td>
              <td align="center">3.3 (1.2)</td>
              <td align="center">3.5 (1.0)</td>
              <td align="center">0.575</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN2">
            <p>Central obesity (WC &gt; 80M; &gt; 90H); High TC (&gt; 200 mg/dL); High LDL-C &gt; 160 mg/dL; Low HDL-C &lt; 40 mg/dL in men and &lt; 50 mg/dL in women, Non-HDL-C &lt; 130 mg/dL, High TG (&gt; 150 mg/dL); High Glucose (&gt; 100 mg/dL); Castelli's index I &gt; 4.7; Castelli's index II &gt;3.1.</p>
          </fn>
          <fn id="TFN3">
            <label>a</label>
            <p>Data expressed as median (interquartile interval). Other results expressed as mean (standard deviation).</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A significant statistical association was observed between the HDL-C (p = 0.019), Castelli's index I (p = 0.040) and central obesity among the elderly (<xref ref-type="table" rid="t3">Table 3</xref>). These and the non-HDL-C were included in the logistic regression model (<xref ref-type="table" rid="t4">Table 4</xref>), which showed a positive association between central obesity and low HDL-C (OR = 2.48; CI 95%: 1.15-5.37) and increased TC/HDL-C ratio (OR = 3.13; CI 95%: 1.01-9.76).</p>
      <table-wrap id="t3">
        <label>Table 3</label>
        <caption>
          <title>Association between central obesity and biochemical markers of cardiometabolic risk in elderly patients treated at a geriatric outpatient clinic in the city of Lagarto-SE</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup>
            <col width="25%"/>
            <col width="25%"/>
            <col width="25%"/>
            <col width="25%"/>
          </colgroup>
          <thead>
            <tr style="border-bottom-width:thin;border-bottom-style:solid">
              <th align="left" rowspan="3" style="background-color:#C5C6C8">Clinical variables</th>
              <th align="center" colspan="2" style="background-color:#C5C6C8">Central obesity</th>
              <th align="center" rowspan="3" style="background-color:#C5C6C8">p</th>
            </tr>
            <tr style="border-bottom-width:thin;border-bottom-style:solid">
              <th align="center" style="background-color:#C5C6C8">No (n = 34)</th>
              <th align="center" style="background-color:#C5C6C8">Yes (n = 125)</th>
            </tr>
            <tr>
              <th align="center" style="background-color:#C5C6C8">n (%)</th>
              <th align="center" style="background-color:#C5C6C8">n (%)</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left">TC</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">26 (68.4)</td>
              <td align="center">76 (62.8)</td>
              <td align="center" rowspan="2">0.529</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">12 (31.6)</td>
              <td align="center">45 (37.2)</td>
            </tr>
            <tr>
              <td align="left">LDL-C</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">26 (68.4)</td>
              <td align="center">77 (63.6)</td>
              <td align="center" rowspan="2">0.590</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">12 (31.6)</td>
              <td align="center">44 (36.4)</td>
            </tr>
            <tr>
              <td align="left">HDL-C</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">18 (47.4)</td>
              <td align="center">39 (32.2)</td>
              <td align="center" rowspan="2">0.019</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">20 (52.6)</td>
              <td align="center">82 (67.8)</td>
            </tr>
            <tr>
              <td align="left">Non-HDL-C</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">14 (41.2)</td>
              <td align="center">36 (28.8)</td>
              <td align="center" rowspan="2">0.168</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">20 (58.8)</td>
              <td align="center">89 (71.2)</td>
            </tr>
            <tr>
              <td align="left">TG</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">23 (60.5)</td>
              <td align="center">68 (56.2)</td>
              <td align="center" rowspan="2">0.638</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">15 (39.5)</td>
              <td align="center">53 (43.8)</td>
            </tr>
            <tr>
              <td align="left">Glucose</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">20 (52.6)</td>
              <td align="center">62 (51.2)</td>
              <td align="center" rowspan="2">0.515</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">18 (47.4)</td>
              <td align="center">59 (48.8)</td>
            </tr>
            <tr>
              <td align="left" colspan="3">Castelli's index I</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">6 (17.6)</td>
              <td align="center">8 (6.4)</td>
              <td align="center" rowspan="2">0.040</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">28 (82.4)</td>
              <td align="center">117 (93.6)</td>
            </tr>
            <tr>
              <td align="left" colspan="2">Castelli's index II</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">17 (50.0)</td>
              <td align="center">52 (41.6)</td>
              <td align="center" rowspan="2">0.381</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">17 (50.0)</td>
              <td align="center">73 (58.4)</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="t4">
        <label>Table 4</label>
        <caption>
          <title>Logistic regression of biochemical markers of cardiometabolic risk associated with the presence of Central Obesity in elderly patients treated at a geriatric outpatient clinic in the city of Lagarto-SE</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup>
            <col width="33%"/>
            <col width="33%"/>
            <col width="33%"/>
          </colgroup>
          <thead>
            <tr>
              <th align="left" style="background-color:#C5C6C8">Variables</th>
              <th align="center" style="background-color:#C5C6C8">OR (CI 95%)</th>
              <th align="center" style="background-color:#C5C6C8">p</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left">HDL-C</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">1.00</td>
              <td align="center" rowspan="2">0.021</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">2.48 (1.15-5.37)</td>
            </tr>
            <tr>
              <td align="left">Non-HDL-C</td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">1.00</td>
              <td align="center" rowspan="2">0.171</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">1.73 (0.79-3.79)</td>
            </tr>
            <tr>
              <td align="left" colspan="2">Castelli's index I (TC/HDL-C)</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Adequate</td>
              <td align="center">1.00</td>
              <td align="center" rowspan="2">0.049</td>
            </tr>
            <tr>
              <td align="left">Altered</td>
              <td align="center">3.13 (1.01-9.76)</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>The association between central obesity and biochemical changes has been widely discussed nowadays<xref ref-type="bibr" rid="B19">19</xref><sup>-</sup><xref ref-type="bibr" rid="B21">21</xref>, since visceral fat produces adipocytes which, in turn, are directly linked with inflammatory processes and cardiometabolic complications .<xref ref-type="bibr" rid="B22">22</xref>
			</p>
      <p>In this sense, this study contributes with the scientific literature because it shows a positive correlation between central obesity and the biochemical markers HDL-C and Castelli's index I. A similar association was observed by several authors<xref ref-type="bibr" rid="B22">22</xref><sup>-</sup><xref ref-type="bibr" rid="B24">24</xref> who identified a positive correlation between WC and the lipid variables: TC, LDL-C, Non-HDL-C and TG. Roriz et al.,<xref ref-type="bibr" rid="B7">7</xref> also observed an association between the visceral adipose tissue (VAT) area and Glucose, TG and uric acid. However, the biochemicals TC, LDL-C, HDL-C and VLDL-C did not present results with statistical significance.</p>
      <p>Castelli's index I was adopted in this study because it is considered a major risk predictor for cardiovascular disease,<xref ref-type="bibr" rid="B5">5</xref><sup>,</sup><xref ref-type="bibr" rid="B9">9</xref> since HDL-C concentrations are inversely proportional to the incidence of atherosclerosis, due to its essential role in protecting the vascular bed, through cholesterol reverse transport.<xref ref-type="bibr" rid="B25">25</xref> In this process, the HDL-C removes the oxidized lipids of LDL, inhibits the fixation of adhesion molecules and monocytes to the endothelium and stimulates the liberation of nitric oxide.<xref ref-type="bibr" rid="B26">26</xref> In this context, the data presented are in line with the authors mentioned before, since in the logistic regression analysis we observed that the individuals with central obesity were 2.48 (p = 0.021) and 3.13 (p = 0.049) times more likely to develop changes in HDL-C and Castelli's I index, respectively. Similarly, Cabral et al.,<xref ref-type="bibr" rid="B27">27</xref> when assessing the association between the phenotype hypertriglyceridemic-waist (HTW) and the cardiometabolic risk in women, also observed a prevalence ratio (PR) of 3.41 (CI 95%: 2.42-4.81) for the HDL-C.</p>
      <p>These data corroborate the study conducted by Silva et al.,<xref ref-type="bibr" rid="B14">14</xref> with older patients with type 2 diabetes, in which 55.6% of men and 76.6% of women (p = 0.024) presented increased cardiovascular risk according with Castelli's index I. However, few studies have used this relationship for predicting the cardimetabolic risk and/or its association with central obesity, which makes it difficult to compare the results with this variable.</p>
      <p>The high prevalence of central obesity observed in this study was also seen in 51.9% of the individuals in a study carried out by Pinho et al.,<xref ref-type="bibr" rid="B28">28</xref> Similar results were presented by Ding et al.,<xref ref-type="bibr" rid="B1">1</xref> in a multicentric study performed with 12,607 Chinese adults. It is worth mentioning that, although this is applicable to both sexes, these results are more often found in women.<xref ref-type="bibr" rid="B4">4</xref><sup>,</sup><xref ref-type="bibr" rid="B24">24</xref> Corroborating this statement, in a study performed by Soar,<xref ref-type="bibr" rid="B4">4</xref> the prevalence of abdominal adiposity was statistically higher in older women (76.16%) (p = 0.00). These data agree with those of Cabral,<xref ref-type="bibr" rid="B27">27</xref> in whose study 67.4% of women also presented high WC. In a study carried out only with elderly patients, Souza<xref ref-type="bibr" rid="B29">29</xref> observed that the majority of them (91.2%) also had central obesity.</p>
      <p>This heterogeneity of abdominal fat distribution between the sexes may be due to the higher body-fat percentage in women as a result of hormonal differences, pregnancy, menopause and the climacteric period.<xref ref-type="bibr" rid="B30">30</xref>
			</p>
      <p>Therefore, it is worth highlighting the importance of promoting healthy eating habits and lifestyle to reduce cardiometabolic risk factors in the population and, consequently, reduce hospitalization and mortality rates. As evidenced in a study developed in Canada, which assessed the association between adopting healthier lifestyle and decreased cardiovascular RF, for each increase of one healthy lifestyle habit, WC decreased by 4.0 cm and 4.8 cm for men and women, respectively. A decrease in TC of 0.2 mmol/L, in non-HDL-C of 0.2 mmol/L and in TG of 0.1 mmol/L was also observed.<xref ref-type="bibr" rid="B31">31</xref>
			</p>
      <p>Piepoli et al.,<xref ref-type="bibr" rid="B10">10</xref> contributing to these data, highlight that, in the last three decades, more than half of the decline in CVD mortality was attributed to changes in risk factor levels in the population, especially reduction in cholesterol levels, blood pressure and smoking.</p>
      <p>The results of this study are added to others, thus aggregating scientific evidence of correlation between central obesity and changes in the biochemical markers of metabolic risk of older patients, which reinforces the adoption of WC measurements in clinical practice and in epidemiologic studies, due to its ease of application, practicality, accuracy and low cost. However, these results should be carefully analyzed, since this study used a cross-sectional design, which does not allow for causal inferences to be made. Besides, the biochemical data may have been affected by medication taken by the patients. Hence, more robust cohort studies are required to further investigate these parameters, including lifestyle, smoking and blood pressure assessments, as recommended by the European Society of Cardiology and other Societies on Cardiovascular Disease Prevention in Clinical Practice.<xref ref-type="bibr" rid="B10">10</xref>
			</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>We conclude that there was an association between central obesity and biochemical markers of cardiometabolic risk in the elderly patients who participated in the study. The findings suggest the need for better monitoring of these markers, as well as of VAT accumulation, even considering the use of more accurate measurement techniques, such as computed tomography and magnetic resonance, so that adequate health strategies can be provided in order to reduce the number of hospitalizations and deaths by these causes.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure">
        <p>
          <bold>Sources of Funding</bold>
        </p>
        <p>There were no external funding sources for this study.</p>
      </fn>
      <fn fn-type="other">
        <p>
          <bold>Study Association</bold>
        </p>
        <p>This article is part of the thesis of residence completing work in Clinical Nutrition submitted by Ana Caroline de Souza Almeida, from Universidade Federal da Bahia.</p>
      </fn>
      <fn fn-type="other">
        <p>
          <bold>Ethics approval and consent to participate</bold>
        </p>
        <p>This study was approved by the Ethics Committee of the Hospital Universit&#225;rio de Aracaj&#250;/Universidade Federal de Sergipe under the protocol number 559.936/ 2014. All the procedures in this study were in accordance with the 1975 Helsinki Declaration, updated in 2013. Informed consent was obtained from all participants included in the study.</p>
      </fn>
    </fn-group>
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