<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0124-0064</journal-id>
<journal-title><![CDATA[Revista de Salud Pública]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. salud pública]]></abbrev-journal-title>
<issn>0124-0064</issn>
<publisher>
<publisher-name><![CDATA[Instituto de Salud Publica, Facultad de Medicina - Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0124-00642011000300005</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[The correlation between anthropometric measurements and biochemical cardiovascular risk markers in the hypertensive elderly]]></article-title>
<article-title xml:lang="es"><![CDATA[Correlación entre parámetros antropométricos y marcadores bioquímicos de riesgo cardiovascular en ancianos hipertensos]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nóbrega Montenegro-Neto]]></surname>
<given-names><![CDATA[Asdrúbal]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[da Silva-Simões]]></surname>
<given-names><![CDATA[Mônica Oliveira]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Dantas de Medeiros]]></surname>
<given-names><![CDATA[Ana C.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Portela]]></surname>
<given-names><![CDATA[Alyne da Silva]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramos de Queiroz]]></surname>
<given-names><![CDATA[Maria do Socorro]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cunha-Montenegro]]></surname>
<given-names><![CDATA[Ramon]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Irany-Knackfuss]]></surname>
<given-names><![CDATA[Maria]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidade Estadual da Paraíba-UEPB  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Centro Universitário de João Pessoa-UNJPÊ  ]]></institution>
<addr-line><![CDATA[Brasil ]]></addr-line>
</aff>
<aff id="A03">
<institution><![CDATA[,Universidade Federal do Rio Grande do Norte-UFRN  ]]></institution>
<addr-line><![CDATA[Brasil ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2011</year>
</pub-date>
<volume>13</volume>
<numero>3</numero>
<fpage>421</fpage>
<lpage>432</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0124-00642011000300005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0124-00642011000300005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0124-00642011000300005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Objectives This study was aimed at correlating anthropometric markers indicating additional cardiovascular risk in a hypertensive elderly population enrolled in the HIPERDIA programme in Campina Grande, Paraíba, Brazil, South America. Methods The sample consisted of 131 hypertensive elderly people aged60 to 92 (25.9 % males and 74.1 % females). A socioeconomic, demographic, life-style questionnaire was used in the assessment. Information about anthropometry measurements and pathology frequency were also recorded via this questionnaire. Pearson's correlation, descriptive statistics, comparison between anthropometric variables by gender using Student's t-test and one-way ANOVA were used in the analysis for comparing groups by age(60 to 69, 70 to 79 and > 80 years). Results 14.7 % of men and 24.7 % of women were overweight and 11.8 % of men and 21.6 % of women were obese. 57.0 % of women and 26.5 % of men had inadequate values in waist-to-hip ratio analysis. 95.9 % of women and 52.9 % of men had high risk and 95.9 % of women and 38.2 % of men had high abdominal circumference values regarding waistline measurement. After selection (n=40) for correcting potential confounders, it was found that 27 subjects had high C-reactive protein values, an additional cardiovascular risk factor. Conclusions The results suggested that additional cardiovascular risk could be demonstrated by the high prevalence of being overweight and central obesity presented by the population and the presence of subclinical inflammation amongst hypertensive ones.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Objetivos El objetivo de este estudio fue correlacionar indicadores antropométricos de riesgo cardiovascular adicionales en una población de ancianos hipertensos registrados en el programa HIPERDIA, en Campiña Grande, Paraíba, Brasil, América del Sur. Métodos La muestra contó con 131 ancianos hipertensos, de 60 a 92 años (25,9 % masculino y 74,1 % femenino). Se utilizaron antropometría y encuesta por medio de un cuestionario con informaciones socioeconómicas, demográficas, hábitos de vida, y frecuencia de las enfermedades. En el análisis fue utilizada la correlación de Pearson, estadística descriptiva y para la comparación de las variables antropométricas por sexo Test t de Student y ANOVA One-Way para comparación por edad: 60 a 69, 70 a 79 y > 80. Resultados Los hombres presentaron frecuencias de 14,7 % de sobrepeso y 11,8 % de obesidad, y mujeres 24,7 % y 21,6 %, respectivamente. En el análisis de índice cintura-cadera, 57,0 % de las mujeres y 26,5 % de los hombres presentaron valores de riesgo. Analizando el perímetro de la cintura, 95,9 % de las mujeres y 52,9 % de los hombres presentaron riesgo, y 95,9 % de las mujeres y 38,2 % de los hombres presentaron elevados valores del perímetro abdominal. Despúes de una selección (n=40) para la corrección de posibles factores de confusión, 27 personas presentaron Proteína C Reactiva elevada. Conclusiones Los resultados muestran riesgo cardiovascular adicional, que se demuestra por la alta frecuencia del sobrepeso y obesidad central que se presentan en la población, asociados a inflamación subclínica en hipertensos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Anthropometry]]></kwd>
<kwd lng="en"><![CDATA[hypertension]]></kwd>
<kwd lng="en"><![CDATA[nutritional status]]></kwd>
<kwd lng="es"><![CDATA[Antropometría]]></kwd>
<kwd lng="es"><![CDATA[presión sanguínea]]></kwd>
<kwd lng="es"><![CDATA[estado nutricional]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[   <font face="verdana" size="2">       <p align="right"> Art&iacute;culos Originales/Original Articles      <p align="center">&nbsp;</p>     <p align="center"><font size="4" face="verdana"><B>The correlation between anthropometric measurements and biochemical cardiovascular risk markers in the hypertensive elderly</B></font></p>     <center> </center>     <p align="center"><font size="3" face="verdana"><B>  Correlaci&oacute;n entre par&aacute;metros antropom&eacute;tricos y marcadores   bioqu&iacute;micos de riesgo cardiovascular en ancianos hipertensos</B></font></p>      <P>&nbsp;</p>     <P><b>Asdr&uacute;bal N&oacute;brega Montenegro-Neto<SUP>1</SUP>, M&ocirc;nica    Oliveira da Silva-Sim&otilde;es<SUP>1</SUP>, Ana C. Dantas de Medeiros<SUP>1</SUP>,    Alyne da Silva Portela<SUP>1</SUP>, Maria do Socorro Ramos de Queiroz<SUP>1</SUP>,    Ramon Cunha-Montenegro<SUP>2</SUP> and Maria Irany-Knackfuss<SUP>3</SUP> </b></p> </P>  1 Universidade Estadual da Para&iacute;ba-UEPB. Brasil. <a href="mailto:netotraducao@hotmail.com">netotraducao@hotmail.com</a>,  <a href="mailto:moscg@uol.com.br">moscg@uol.com.br</a>, <a href="mailto:anacdmedeiros@yahoo.com.br">anacdmedeiros@yahoo.com.br</a>,  <a href="mailto:alyneportela@yahoo.com.br">alyneportela@yahoo.com.br</a>, <a href="mailto:queirozsocorroramos@yahoo.com.br">queirozsocorroramos@yahoo.com.br</a>,      <br> 2 Centro Universit&aacute;rio de Jo&atilde;o Pessoa-UNJP&Ecirc;. Brasil. <a href="mailto:proframon@ig.com.br">proframon@ig.com.br</a>      <br> 3 Universidade Federal do Rio Grande do Norte-UFRN. Brasil. <a href="mailto:mik@ufrnet.br">mik@ufrnet.br</a>      ]]></body>
<body><![CDATA[<P align="center">Received 28<SUP>th</SUP> December 2010/Sent for Modification    20<SUP>th</SUP> May 2011/Accepted 3<SUP>rd</SUP> June 2011 <hr size="1">  </P><B>ABSTRACT </B> </P>     <P><b>Objectives </b>This study was aimed at correlating anthropometric markers      indicating additional cardiovascular risk in a hypertensive elderly population enrolled in      the HIPERDIA programme in Campina Grande, Para&iacute;ba, Brazil, South America. 	    <BR><B>Methods</B> The sample consisted of 131 hypertensive elderly people aged60 to    92 (25.9 % males and 74.1 % females). A socioeconomic, demographic,    life-style questionnaire was used in the assessment. Information about    anthropometry measurements and pathology frequency were also recorded via this questionnaire.     Pearson's correlation, descriptive statistics, comparison between    anthropometric variables by gender using Student's t-test and one-way ANOVA were used in    the analysis for comparing groups by age(60 to 69, 70 to 79 and    <U>&gt;</U> 80 years).     <BR><B>Results </B>14.7 % of men and 24.7 % of women were overweight and 11.8 % of    men and 21.6 % of women were obese. 57.0 % of women and 26.5 % of men    had inadequate values in waist-to-hip ratio analysis. 95.9 % of women and 52.9 %    of men had high risk and 95.9 % of women and 38.2 % of men had high    abdominal circumference values regarding waistline measurement. After selection (n=40)    for correcting potential confounders, it was found that 27 subjects had high    C-reactive protein values, an additional cardiovascular risk factor.      <BR><B>Conclusions </B>The results suggested that additional cardiovascular risk could    be demonstrated by the high prevalence of being overweight and central    obesity presented by the population and the presence of subclinical inflammation    amongst hypertensive ones.  </P>    <P><B>Key Words</B>: Anthropometry, hypertension, nutritional status  (<I>source: MeSH, NLM</I>). <hr size="1">  </P><B>RESUMEN </B>     <P><b>Objetivos </b>El objetivo de este estudio fue correlacionar indicadores    antropom&eacute;tricos de riesgo cardiovascular adicionales en una poblaci&oacute;n de ancianos    hipertensos registrados en el programa HIPERDIA, en Campi&ntilde;a Grande, Para&iacute;ba,    Brasil, Am&eacute;rica del Sur.    <BR><B>M&eacute;todos </B>La muestra cont&oacute; con 131 ancianos hipertensos, de 60 a 92 a&ntilde;os    (25,9 % masculino y 74,1 % femenino). Se utilizaron antropometr&iacute;a y encuesta por    medio de un cuestionario con informaciones socioecon&oacute;micas, demogr&aacute;ficas,    h&aacute;bitos de vida, y frecuencia de las enfermedades. En el an&aacute;lisis fue utilizada la    correlaci&oacute;n de Pearson, estad&iacute;stica descriptiva y para la comparaci&oacute;n de las    variables antropom&eacute;tricas por sexo Test t de Student y ANOVA One-Way para    comparaci&oacute;n por edad: 60 a 69, 70 a 79 y    <U>&gt;</U> 80.     <BR><B>Resultados </B>Los hombres presentaron frecuencias de 14,7 % de sobrepeso    y 11,8 % de obesidad, y mujeres 24,7 % y 21,6 %, respectivamente. En el    an&aacute;lisis de &iacute;ndice cintura-cadera, 57,0 % de las mujeres y 26,5 % de los    hombres presentaron valores de riesgo. Analizando el per&iacute;metro de la cintura, 95,9 %     de las  mujeres y 52,9 % de los hombres presentaron riesgo, y 95,9 % de las    mujeres y 38,2 % de los hombres presentaron  elevados valores del per&iacute;metro    abdominal. Desp&uacute;es de una selecci&oacute;n (n=40) para la correcci&oacute;n de posibles factores    de confusi&oacute;n, 27 personas presentaron Prote&iacute;na C Reactiva elevada.     <BR><B>Conclusiones </B>Los resultados muestran riesgo cardiovascular adicional, que se     demuestra por la alta frecuencia  del sobrepeso y obesidad central que    se presentan en la poblaci&oacute;n,  asociados a inflamaci&oacute;n subcl&iacute;nica en hipertensos. </P>    ]]></body>
<body><![CDATA[<P><B>Palabras Clave</B>: Antropometr&iacute;a, presi&oacute;n sangu&iacute;nea, estado nutricional    (<I>fuente: DeCS, BIREME</I>).</P>  <hr size="1">     <P>There are about 600 million hypertensive patients around the world           according to the World Health Organization (WHO) in a report           published in 2003(1-3). Brazilian Ministry of Health estimates have      shown that the prevalence of hypertension is already high, accounting for 22.3      % to 43.9 % of the population aged over twenty in some cities (4).  </p> </P>Studies have shown that cardiovascular health risk assessment (usually    done by determining Framingham cardiac risk scores) can be improved by    measuring inflammation plasma markers and anthropometric evaluation (5-7). These    markers include acute phase proteins, such as C-reactive protein (CRP) (6-7).     <P>Anthropometry is an effective method for ascertaining nutritional status    (8,9); its variables have been reported in the literature as being important    cardiovascular risk predictors (10,11).  </P>    <P>  HiperDia is a program which was created by the Brazilian Ministry of    Health that enrolls hypertension and diabetes patients in all ambulatory clinics of    the Sistema &Uacute;nico de Sa&uacute;de-SUS.  </P>    <P>Based on this context, this study aimed to correlate biochemical    markers (total cholesterol and CRP) with anthropometric measures, indicators of    additional cardiovascular risk in a population of elderly hypertensive patients. </P>     <P align="center"><font size="3" face="verdana"><b>MATERIAL AND METHODS </b></font>     <center>       </center>  </P>    <P>This was a population-based quantitative study using a non-probability    intentional sample. The population consisted of 100 % hypertensive elderly (n=4 108)    aged over 60who were enrolled in the HiperDia program in Campina Grande,    Para&iacute;ba, Brazil, from February 2007 to December 2008; the sample consisted of    131 elderly people aged over 60 (n=131) who were enrolled in HiperDia registered    in the main SUS health unit in Campina Grande.  </P>    <P>Data was collected from February 2007 to December 2008 on Monday    and Tuesday mornings from 8 to 11 am and on Tuesday afternoons from 1 to    4 pm(when the service operated in three stages). </P>    <P>The first stage consisted of research with participants via form-filling to    obtain data about socio-economic level, lifestyle and prevalence of diseases,    evaluation of blood pressure and anthropometric measurements. </P>    ]]></body>
<body><![CDATA[<P>Regular participants who performed any kind of regular physical    activity(at least 3 times a week) for a minimum of 30 minutes daily were considered to    be physically active. Participants who did not practice any regular form of    physical activity were considered sedentary (12).  </P>    <P>Income was defined as the sum of all family income divided by the number    of people residing in a particular dwelling. </P>    <P>Educational level was defined as being the number of years spent studying    in regular schools. Lifestyle information contained information about whether    tobacco and/or alcohol were used, together with their frequency in years. </P>    <P>The second phase involved collecting blood for lipid and glucose    determination; this was sent to the UEPB Clinical Analysis Laboratory during the same period. </P>    <P>  Blood pressure was measured twice using each patient's right arm    when they were in a sitting position following at least five minutes rest;    hypertensive subjects had &gt;140 mean systolic blood pressure (MSBP) and &gt;90 mmHg    mean diastolic blood pressure (MDBP)(2) measured by a calibrated    aneroid sphygmomanometer(Mark Wan Med) and stethoscope (Littmann). </P>    <P>Subjects were without shoes and coats, wearing only light clothing,    upright, with feet together when anthropometric measurements were taken using    the techniques proposed by De Groot (13) and Lohman (14).  </P>    <P>The following indicators were evaluated. </P>    <P>&#149;     Body mass index (BMI), using the cutoff values proposed by the    Pan-American Health Organization (PAHO) used in Health Welfare and    Aging (HWA) research: &lt; 23 kg/m&#178; low weight, 23-27.99 kilograms/m&#178;    normal weight, 28 to 29.99 kg/m&#178; being overweight and <U>&gt;</U> 30 kg/m&#178; (15)being obese; </P>    <P>&#149;     Measurements were taken using a150 kg capacity electronic digital    scale (Tanita VM-080), varying from 100g, affixed tape-measure (Sanny)    and 220 cm capacity SEA - 206 stadiometer;  </P>    <P>&#149;     Waist-hip ratio (WHR), female subjects being considered as    suffering central obesity who had &gt; 0.85 WHR and males who had  &gt; 1.0 WHR (13,14); </P>    ]]></body>
<body><![CDATA[<P>&#149;     Waist circumference (AC), males having greater than 102    cm measurement being considered at risk for metabolic and    cardiovascular diseases as were females measuring more than 88 cm (13,14); and </P>    <P>&#149;     Abdominal circumference (WC), considering    <U>&gt;</U> 94 cm as reference indicating risk values for men and     <U>&gt;</U> 80 cm for women (13,14). </P>    <P>The lipid profile was analysed in accordance with the Brazilian Society    of Cardiology's (BSC) 4<SUP>th</SUP> Brazilian Guidelines on Dyslipidaemia (16), blood    being collected after a minimumof 12 hours fasting, calculated by the    Friedewald method  (16).  </P>    <P>Individuals who had &gt;126 mg/dl fasting plasma glucoseon two    occasionswere considered as being diabetic. The colorimetric method was used for    determining blood glucose after at least a minimum of 12 hours fasting (17). </P>    <P>The third phase consisted of collecting blood for serum high-sensitivity    CRP (hs-CRP). This was preceded by individuals who only had hypertension    being pre-selected who were then invited to take the examination. Blood    samples  were sent for analysis to the Hermes Pardini Institute in Belo Horizonte,    Minas Gerais state, Brazil, during the same period. </P>    <P>Nephelometry was used for analysis; subjects having hs-CRP values    above the 3rd quintile (1,2-1,9 mg/dL) according to BSC were regarded as being    at increased cardiovascular risk (16). </P>    <P>Statistical analysis  </P>    <P>The Kolmogorov-Smirnov test was carried out in 2 steps(p&lt;0.05 significance).  </P>    <P>Two groups (male and female) were formed during the first step    which compared anthropometric variables. Mean BMI, AC and WHR were    compared by gender using Student's t-test. </P>    <P>Three groups of participants were then formed to compare the influence    of age on anthropometric variables: group 1 (aged 60 to 69), group 2 (70 to 79)    and group 3 (<U>&gt;</U> 80);one-way ANOVA was then performed.  </P>    ]]></body>
<body><![CDATA[<P>Pearson's correlation test (r) was used in the second stage for identifying    the correlation between anthropometric and biochemical variables. </P>    <P>Elderly patients who only had arterial hypertension were selected to    minimize the influence of confounding factors on hs-CRP values, following    Ford's recommendations (6). hs-CRP values were not recorded for those who    were classified as being overweight or obese, who had had diabetes, arthritis and    any inflammatory and/or infection during the two weeks prior to the blood tests. </P>    <P>Results having p &lt;0.05 were considered as being statistically significant. </P >    <P align="center"><font size="3" face="verdana"><b>RESULTS</b></font>      <center>       </center>  </P>    <P>Age stratification by gender(population n=4,108: 1,399 men, 2,709    women) revealed 672 malesaged 60-69, 488 aged 70-79 and 239 aged over 80    and 1,408 females aged 60-69,887 aged 70-79 and 414 aged 80 or over; data    was found on the HiperDia system (17). </P>    <P>25.9 % of participants in the sample were male and    74.1 % female (n=131). Age ranged from 60 to 92 years (average 71). Monthly family income for    the group being studied ranged from 32.05 to 800.00 $ Reais per person    (average 268.85 $ Reais). </P>    <P>  Regarding disease type, 73.5 % were hypertensive, 26.5 % diabetic    and hypertensive but none of them were exclusively diabetic. Knowing that the    whole population was receiving pharmacological treatment for hypertension, mean    systolic blood pressure for men was 123.3 mm Hg and 133.4 mm Hg for women;    mean diastolic pressure for men was 76.7 mm Hg and 80.2 mm Hg for women. </P>    <P>Concerning living habits, 94.7 % of the elderly stated that they did not    smoke (individuals who reported having stopped smoking for at least one year    being considered non-smokers), 98.5 % had not used alcohol for over a year and    75.8 % did not exercise regularly.  </P>    <P>There was a high prevalence of obesity and being overweight in both    elderly genders since 14.5 % were underweight, 44.3 % had normal weight, 22.1    % were overweight and 19.1 % were obese. Underweight prevalence was 20.6    % in males and 12.4v % in females; 14.7 % of men and 24.7 % of women    were overweight and 11.8 % of men and 21.6 % of women were obese (<a href="#tab1">Table 1</a>). </P>    ]]></body>
<body><![CDATA[<P>    <center><a name="tab1"><img src="img/revistas/rsap/v13n3/v13n3a05tab1.gif"></a></center> </P>    <P>    <BR>Student's t-test was used for comparing averages by gender. An    average 25.8 (3.3 SD) BMI was found for males and 27.5 for females (3.6 SD),    the difference being statistically significant between genders (p=0.0143).    An average 96 cm (10.9 SD) was obtained for WC in men and 94.7 (9.9    SD) average for women (no statistically significant difference between    genders, p=0.5206). </P>    <P><a href="#fig1">Figure 1</a> shows that 95.9 % of women showed increased    cardiovascular risk concerning WC. The percentage of men at high risk (52.9 %) was    much lower. </P>    <P>    <center><a name="fig1"><img src="img/revistas/rsap/v13n3/v13n3a05fig1.gif"></a></center>   </P>    <P><a href="#fig1">Figure 1</a> shows that 95.9 % of women had risk-indicating values    regarding AC (compared to 38.2 % for men). Compared by gender, men's average    AC was 99.4 cm (10.9 SD) and 102.4 cm for women (9.7 SD), indicating    no statistically significant difference between genders (p=0.1258).  </P>    <P> </P>    <P>WHR analysis revealed that 57.0 % of women and 26.5 % of men    had values equal to or above the recommended level (Figure 1). Overall    average WHR for men was 0.94 (0.06 SD) and 0.90 for women (0.07 SD)    indicating differences between genders. </P>    ]]></body>
<body><![CDATA[<P>The elderly were divided into 3 groups by age in variance analysis:60    to 69 (n=59), 70 to 79 (n=58) and <U>&gt;</U> 80 (n=14). </P>    <P>WHR revealed statistically significant difference (p=0.0418)    regarding age-group 1 compared to the others (<a href="#tab2">Table 2</a>),but there were no    significant differences for BMI, AC and WC (p&lt;0.05).       </P>    <P>    <center><a name="tab2"><img src="img/revistas/rsap/v13n3/v13n3a05tab2.gif"></a></center>  </P>    <P>After anthropometric data had been collected, all subjects were asked    to take a blood test for determining lipid profile; however, it was only    assessed in 83 participants. This data is shown as averages in <a href="#tab3">Table 3</a>.   </P>    <P>    <center><a name="tab3"><img src="img/revistas/rsap/v13n3/v13n3a05tab3.gif"></a></center>  </P>    <P>The suitability of the average values obtained in this study was verified    in individuals aged <U>&gt;</U>20 years based on BSC (4), lipids and 12 to 14 hour    fasting plasma glucose (<a href="#tab4">Table 4</a>). </P>    <P>    <center><a name="tab4"><img src="img/revistas/rsap/v13n3/v13n3a05tab4.gif"></a></center>           ]]></body>
<body><![CDATA[<BR> </P>    <P>  Hs-CRP was evaluated in 41 subjects(11 males and 30 females)    who were selected following this study's criteria for eliminating confounding    factors (<a href="#tab5">Table 5</a>).   </P>    <P>    <center><a name="tab5"><img src="img/revistas/rsap/v13n3/v13n3a05tab5.gif"></a></center>  </P>    <P>Hs-CRP statistically significant differences were verified regarding    gender, i.e. 1.9 average for males and 3.2 for females (p=0.03). Twenty-seven    subjects had values above the 3<SUP>rd </SUP>population distribution quintile, 18 above the    4<SUP>th</SUP> quintile and 9 above the    5<SUP>th</SUP> quintile.  </P>    <P>  Pearson's test was used for correlation between hypertensive    individuals' hs-CRP, lipid profile and anthropometry. Individuals were selected to    exclude the confounding factors mentioned in this study's methodology (n=41). </P>    <P>It was found that average BMI, WC and AC were positively    associated (r=0.7; p&lt;0.001); the higher the BMI, the greater the WC. </P>    <P>BMI also had even stronger positive correlation with average    Hip circumference-HC (r=0.8; p&lt;0.001).  </P>    <P>Correlation test results (Pearson's r values ranging from 0.00 to    0.19) indicated poor association between hs-CRP and lipid profile and  the anthropometric measurements evaluated in this study.     <P align="center"><font size="3" face="verdana"><b>DISCUSSION</b></font>      ]]></body>
<body><![CDATA[<center> </center>  </P>    <P>6,682 hypertensive patients were enrolled in the program in Campina    Grande while this research lasted, this being the second most populous city in    Para&iacute;ba (17). </P>    <P>Multiplicity and interaction between various cardiovascular risk factors    may be involved in many diseases' development and progression (18,19). </P>    <P>Despite low smoking and alcohol prevalence (both being 5.3 %), this    sample had high rates of physical inactivity (75.8 %);according to Siqueira (20),    the latter is above average in the north-eastern region of Brazil (58.0 %). </P>    <P>No significant differenceswere found regarding the prevalence of    obesity in the 60-69, 70-79 and  <U>&gt;</U> 80age-groups. However, Abrantes' study (21)    observed that obesity has become significantly higher amongst females (2.6 %),    reaching almost twice that for males (1.8 %). </P>    <P>  WC analysis found that gender and not age had a significant influence    on this variable. Women were in the majority in this study (74.1 %) and 95.9 %    of them had measurements indicative of increased cardiovascular risk,    compared to 52.9 % for men. This contradicted the literature which states that    central obesity is more common amongst men (22). It should be emphasized that    the fat distribution pattern could have been associated with the long and    healthy life pattern presented by the men is this sample. </P>    <P>Only WHR had a statistically significant difference regarding age    (p=0.0418) and gender (p=0.0046). </P>    <P>90.6 % of the women studied had the recommended    <U>&gt;</U> AC amount whilst 26.7 % of men had high values. The pattern of body fat distribution is    important because the accumulation of abdominal fat has a close relationship    with metabolic and cardiovascular diseases, such as diabetes mellitus and    hypertension, respectively (23). </P>    <P>The population did not present a high risk in the lipid profile test,    averages being considered reasonable by BSC (16).  </P>    <P>However, as already discussed, anthropometric averages were above    those recommended in the literature, indicating the additional cardiovascular    risk promoted by hypertension in the studied population (14,21-23).  </P>    ]]></body>
<body><![CDATA[<P>The correlations between hs-CRP and lipid profile performed after    rigid control of confounding variables (6) were considered weak. Knowing    that CRP is an independent risk factor for cardiovascular disease, it was    emphasized, as in Ford (6) and Mendall (24), the importance of hs-CRP and    anthropometry (25) in improving cardiovascular risk stratification. </P>    <P>Regarding CRP correlation with anthropometric variables, these were    also regarded as weak but, because they have not been widely studied, no data    was found in the literature for comparison for this age group. </P>    <P>Considering hs-CRP as an independent cardiovascular risk factor, and    the strict control applied in selecting a homogeneous sample, this sample    presented an additional risk for future cardiovascular    events (6). </P>    <P>The participants had an average of 3years spent studying. Such    low educational level, as also stated by Cavalini (26), may have influenced    treatment        of hypertension in the elderly since it hinders understanding drug    prescription and treatment compliance. </P>    <P>The low average monthly income of only 268.85 $ Reais per person    may have negatively influenced treatment (26). </P>    <P>The high prevalence of being overweight and suffering central obesity    and the high sub-clinical inflammation rather present additional cardiovascular    risks for individuals already affected by hypertension. </P>    <P>Even with lipid profile values and anthropometric measurements    considered normal, some individuals were at increased cardiovascular risk, which    was demonstrated by measuring hs-CRP levels. </P>    <P>It was hypothesized that a full assessment of cardiovascular risk in an    elderly hypertensive population must include lipid profile, anthropometry and CRP    in order to improve cardiovascular risk  stratification.     <P align="center"><font size="3" face="verdana"><b>REFERENCES</b></font>      <center>       </center> </P>    ]]></body>
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