<?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>1316-7138</journal-id>
<journal-title><![CDATA[Salus]]></journal-title>
<abbrev-journal-title><![CDATA[Salus]]></abbrev-journal-title>
<issn>1316-7138</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Carabobo]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1316-71382015000200007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Circunferencia de cintura, perfil de lípidos y riesgo cardiovascular en adolescentes]]></article-title>
<article-title xml:lang="en"><![CDATA[Waist circumference, lipid profile and cardiovascular risk in adolescents]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Velásquez]]></surname>
<given-names><![CDATA[Emma]]></given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Páez]]></surname>
<given-names><![CDATA[María C]]></given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Acosta]]></surname>
<given-names><![CDATA[Edgar]]></given-names>
</name>
</contrib>
</contrib-group>
<aff id="A">
<institution><![CDATA[,  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2015</year>
</pub-date>
<volume>19</volume>
<numero>2</numero>
<fpage>31</fpage>
<lpage>36</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S1316-71382015000200007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S1316-71382015000200007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S1316-71382015000200007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[La obesidad abdominal y las dislipidemias son factores de riesgo de enfermedad cardiovascular (ECV). Se evaluó la relación de la circunferencia de cintura (CC), con los lípidos e índices de riesgo cardiovascular en 414 adolescentes (12-16,9 años). El estudio fue descriptivo, correlacional, transversal, y de campo. Se midió: peso, talla, CC y se calculó el índice de masa corporal (IMC). Se determinó colesterol total (CT), triglicéridos (TG) y lipoproteína de alta densidad (HDL-c). Se calculó: la lipoproteína de baja densidad (LDL-c), el colesterol no-HDL y las relaciones de riesgo aterogénico. Se realizaron estadísticos descriptivos, las pruebas de Mann Whitney, Chi cuadrado y Odds Ratio, con significancia estadística de p<0,05. 18,1% y 7,0% presentaron sobrepeso y obesidad, respectivamente y 38,9% tenían CC&#8805;p90. Los adolescentes con CC&#8805;p90 mostraron cifras más elevadas de peso, IMC y de CT, colesterol no-HDL, TG y de los índices CT/HDL-C y TG/HDL-C que los adolescentes con CC<p90 (p<0,05). El género masculino presentó promedios significativamente más elevados en todas las variables antropométricas que el femenino. Referente al CT, HDL-c yLDL-c, el femenino mostró niveles más altos. Los adolescentes con CC&#8805;p90 tenían mayor alteración en las relaciones de riesgo aterogénico. Estos hallazgos demuestran la importancia de la medición de la CC en la evaluación de la grasa abdominal y de los índices de aterogenicidaden la identificación temprana de los adolescentes con riesgo a desarrollar ECV.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abdominal obesity and dyslipidemias have been considered cardiovascular risk factors. This descriptive and cross-sectional study was undertaken to assess the relationship between waist circumference (WC) and lipid profile, and Cardiovascular risk factors in 414 adolescents (ages 12 to16.9 years). Height, weight and WC were measured and body mass index was (BMI) estimated. Plasma levels for triglycerides, total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) were determined. Low-density lipoprotein cholesterol (LDL-C) and non-HDL-C and atherogenic risk index were assessed. Mann-Whitney, Odds Ratio and Chi-square test were calculated and significance level p<0.05 was considered. 18.1% and 7% presented overweight and obesity, respectively and 38.9% had WC equal or greater than the 90th percentile (WC&#8805;p90). Significant higher levels (p<0.05) for weight, IMC, TC, TG, non-HDL, TC/HDL-C index and TG/HDL-C Index were found in adolescents with WC&#8805;p90. Males had higher mean values for weight, height, BMI and WC than females (p<0.05). Females had higher TC, HDL-C and LDL-C concentrations than males (p<0.05). Adolescents with WC&#8805;p90 are more likely to have a higher atherogenic risk index than those with WC<p90. These findings highlight the potential uses of waist measurement, using common anthropometric parameters of abdominal adiposity for identifying adolescents at ECV risk.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Circunferencia de cintura]]></kwd>
<kwd lng="es"><![CDATA[dislipidemias]]></kwd>
<kwd lng="es"><![CDATA[adolescentes]]></kwd>
<kwd lng="es"><![CDATA[índice aterogénico]]></kwd>
<kwd lng="en"><![CDATA[Waist circumference]]></kwd>
<kwd lng="en"><![CDATA[dyslipidemias]]></kwd>
<kwd lng="en"><![CDATA[adolescents]]></kwd>
<kwd lng="en"><![CDATA[atherogenic index]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <div style="text-align: justify;">     <div style="text-align: center;"><font style="font-weight: bold;"><span style="font-family: Verdana;">Circunferencia de cintura, perfil de l&iacute;pidos y riesgo cardiovascular en adolescentes</span></font><br style="font-family: Verdana; font-weight: bold;">     <br style="font-family: Verdana; font-weight: bold;">     <font size="-1"><span style="font-family: Verdana;"><span style="font-weight: bold;">Emma Vel&aacute;squez, Mar&iacute;a C. P&aacute;ez, Edgar Acosta.</span></span></font>    <br>     <font size="-1"><span style="font-family: Verdana;"></span></font></div>     <font size="-1"><span style="font-family: Verdana;">    <br>     Instituto de Investigaciones en Nutrici&oacute;n &ldquo;Dr. Eleazar Lara&nbsp; Pantin&rdquo;.&nbsp; Facultad&nbsp; de&nbsp; Ciencias&nbsp; de&nbsp; la&nbsp; Salud. Universidad de Carabobo, Valencia, Venezuela.    <br>         <br>     Autor de correspondencia: Lic. Emma Vel&aacute;squez E-mail:  <a href="mailto:evelasque@uc.edu.ve">evelasque@uc.edu.ve</a>     <br>         <br>         <br>     <span style="font-weight: bold;">RESUMEN</span>    <br>         ]]></body>
<body><![CDATA[<br>     La obesidad abdominal y las dislipidemias son factores de riesgo de enfermedad cardiovascular (ECV). Se evalu&oacute; la relaci&oacute;n de la circunferencia de cintura (CC), con los l&iacute;pidos e &iacute;ndices de riesgo cardiovascular&nbsp; en&nbsp; 414&nbsp; adolescentes&nbsp; (12-16,9&nbsp; a&ntilde;os).&nbsp; El&nbsp; estudio fue&nbsp; descriptivo,&nbsp; correlacional,&nbsp; transversal,&nbsp; y&nbsp; de&nbsp; campo.&nbsp; Se&nbsp; midi&oacute;: peso, talla, CC y se calcul&oacute; el &iacute;ndice de masa corporal (IMC). Se determin&oacute; colesterol total (CT), triglic&eacute;ridos (TG) y lipoprote&iacute;na de alta densidad (HDL-c). Se calcul&oacute;: la lipoprote&iacute;na de baja densidad (LDL-c), el colesterol no-HDL y las relaciones de riesgo aterog&eacute;nico. Se&nbsp; realizaron&nbsp; estad&iacute;sticos&nbsp; descriptivos,&nbsp; las&nbsp; pruebas&nbsp; de&nbsp; Mann Whitney, Chi cuadrado y Odds Ratio, con significancia estad&iacute;stica de&nbsp; p&lt;0,05.&nbsp; 18,1%&nbsp; y&nbsp; 7,0%&nbsp; presentaron&nbsp; sobrepeso&nbsp; y&nbsp; obesidad, respectivamente&nbsp; y&nbsp; 38,9%&nbsp; ten&iacute;an&nbsp; CC&ge;p90.&nbsp; Los&nbsp; adolescentes&nbsp; con CC&ge;p90&nbsp; mostraron&nbsp; cifras&nbsp; m&aacute;s&nbsp; elevadas&nbsp; de&nbsp; peso,&nbsp; IMC&nbsp; y&nbsp; de&nbsp; CT, colesterol&nbsp; no-HDL,&nbsp; TG&nbsp; y&nbsp; de&nbsp; los&nbsp; &iacute;ndices&nbsp; CT/HDL-C&nbsp; y&nbsp; TG/HDL-C que los adolescentes con CC&lt;p90 (p&lt;0,05). El g&eacute;nero masculino present&oacute; promedios significativamente m&aacute;s elevados en todas las variables antropom&eacute;tricas que el femenino. Referente al CT, HDL-c yLDL-c,&nbsp; el&nbsp; femenino&nbsp; mostr&oacute;&nbsp; niveles&nbsp; m&aacute;s&nbsp; altos.&nbsp; Los&nbsp; adolescentes con&nbsp; CC&ge;p90&nbsp; ten&iacute;an&nbsp; mayor&nbsp; alteraci&oacute;n&nbsp; en&nbsp; las&nbsp; relaciones&nbsp; de&nbsp; riesgo aterog&eacute;nico.&nbsp; Estos&nbsp; hallazgos&nbsp; demuestran&nbsp; la&nbsp; importancia&nbsp; de&nbsp; la medici&oacute;n&nbsp; de&nbsp; la&nbsp; CC&nbsp; en&nbsp; la&nbsp; evaluaci&oacute;n&nbsp; de&nbsp; la&nbsp; grasa&nbsp; abdominal&nbsp; y&nbsp; de los&nbsp; &iacute;ndices&nbsp; de&nbsp; aterogenicidaden&nbsp; la&nbsp; identificaci&oacute;n&nbsp; temprana&nbsp; de&nbsp; los adolescentes con riesgo a desarrollar ECV.    <br>         <br>     <span style="font-weight: bold;">Palabras&nbsp; clave:</span>&nbsp; Circunferencia&nbsp; de&nbsp; cintura,&nbsp; dislipidemias, adolescentes, &iacute;ndice aterog&eacute;nico.    <br>         <br>     </span></font>     <div style="text-align: center;"><font size="-1"><span style="font-family: Verdana;"><span style="font-weight: bold;">Waist&nbsp; circumference,&nbsp; lipid&nbsp; profile&nbsp; and&nbsp; cardiovascular&nbsp; risk&nbsp; in adolescents</span></span></font>    <br>     <font size="-1"><span style="font-family: Verdana;"></span></font></div>     <font size="-1"><span style="font-family: Verdana;"><span style="font-weight: bold;">ABSTRACT</span>    <br>         <br>         <br>     Abdominal&nbsp; obesity&nbsp; and&nbsp; dyslipidemias&nbsp; have&nbsp; been&nbsp; considered cardiovascular&nbsp; risk&nbsp; factors.&nbsp; This&nbsp; descriptive&nbsp; and&nbsp; cross-sectional study&nbsp; was&nbsp; undertaken&nbsp; to&nbsp; assess&nbsp; the&nbsp; relationship&nbsp; between&nbsp; waist circumference (WC) and lipid profile, and Cardiovascular risk factors in 414 adolescents (ages 12 to16.9 years). Height, weight and WC were measured and body mass index was (BMI) estimated. Plasma levels&nbsp; for&nbsp; triglycerides,&nbsp; total&nbsp; cholesterol&nbsp; (TC)&nbsp; and&nbsp; high-density lipoprotein&nbsp; cholesterol&nbsp; (HDL-C)&nbsp; were&nbsp; determined.&nbsp; Low-density lipoprotein cholesterol (LDL-C) and non-HDL-C and atherogenic risk index were assessed. Mann-Whitney, Odds Ratio and Chi-square test were calculated and significance level p&lt;0.05 was considered. 18.1% and 7% presented overweight and obesity, respectively and 38.9% had WC equal or greater than the 90th percentile (WC&ge;p90). Significant higher levels (p&lt;0.05) for weight, IMC, TC, TG, non-HDL, TC/HDL-C index and TG/HDL-C Index were found in adolescents with&nbsp; WC&ge;p90.&nbsp; Males&nbsp; had&nbsp; higher&nbsp; mean&nbsp; values&nbsp; for&nbsp; weight,&nbsp; height, BMI and WC than females (p&lt;0.05). Females had higher TC, HDL-C and LDL-C concentrations than males (p&lt;0.05). Adolescents with WC&ge;p90 are more likely to have a higher atherogenic risk index than those with WC&lt;p90. These findings highlight the potential uses of waist measurement, using common anthropometric parameters of abdominal adiposity for identifying adolescents at ECV risk.    ]]></body>
<body><![CDATA[<br>         <br>     <span style="font-weight: bold;">Key&nbsp; words:</span>&nbsp; Waist&nbsp; circumference,&nbsp; dyslipidemias,&nbsp; adolescents, atherogenic index.    <br>         <br>     <span style="font-weight: bold;">INTRODUCCI&Oacute;N</span>    <br>         <br>     La adolescencia es un periodo de vida del ser humano en el&nbsp; cual&nbsp; se&nbsp; producen&nbsp; numerosos&nbsp; cambios&nbsp; que&nbsp; demandan necesidades&nbsp; nutricionales&nbsp; especiales&nbsp; que&nbsp; influyen&nbsp; en&nbsp; el crecimiento y el desarrollo del individuo (1). Generalmente en&nbsp; esta&nbsp; etapa&nbsp; del&nbsp; desarrollo,&nbsp; se&nbsp; producen&nbsp; modificaciones en&nbsp; el&nbsp; estilo&nbsp; de&nbsp; vida,&nbsp; incluyendo&nbsp; los&nbsp; h&aacute;bitos&nbsp; alimentarios, observ&aacute;ndose&nbsp; una&nbsp; tendencia&nbsp; a&nbsp; un&nbsp; consumo&nbsp; elevado&nbsp; de alimentos ricos en grasas y az&uacute;car (1,2), los cuales pueden conducir a la aparici&oacute;n de sobrepeso, obesidad, alteraci&oacute;n en&nbsp; el&nbsp; perfil&nbsp; de&nbsp; l&iacute;pidos&nbsp; y&nbsp; a&nbsp; un&nbsp; mayor&nbsp; riesgo&nbsp; de&nbsp; padecer enfermedades cardiovasculares (ECV) (1,3).    <br>         <br>     La prevalencia de sobrepeso y obesidad se ha incrementado en las &uacute;ltimas tres d&eacute;cadas, y se estima que a nivel mundial 170 millones de ni&ntilde;os menores de 18 a&ntilde;os tienen sobrepeso. Este r&aacute;pido incremento en la prevalencia de obesidad y su asociaci&oacute;n con las enfermedades cr&oacute;nicas no transmisibles, han&nbsp; llevado&nbsp; a&nbsp; considerarla&nbsp; como&nbsp; uno&nbsp; de&nbsp; los&nbsp; retos&nbsp; de salud&nbsp; m&aacute;s&nbsp; serios&nbsp; del&nbsp; siglo&nbsp; XXI&nbsp; (4).El&nbsp; aumento&nbsp; de&nbsp; tejido abdominal&nbsp; en&nbsp; los&nbsp; dep&oacute;sitos,&nbsp; espec&iacute;ficamente&nbsp; en&nbsp; el&nbsp; &aacute;rea visceral, se relaciona directamente con riesgo metab&oacute;lico y cardiovascular&nbsp; (5-7).&nbsp; La&nbsp; circunferencia&nbsp; de&nbsp; cintura&nbsp; (CC)&nbsp; es una medida antropom&eacute;trica &uacute;til para la identificaci&oacute;n de la obesidad&nbsp; abdominal&nbsp; y&nbsp; ha&nbsp; sido&nbsp; calificada&nbsp; como&nbsp; una&nbsp; mejor herramienta para evaluar riesgo cardiovascular, m&aacute;s que el &iacute;ndice de masa corporal (IMC) (5,6). Se ha descrito que la adiposidad&nbsp; visceral&nbsp; tiene&nbsp; un&nbsp; fuerte&nbsp; impacto&nbsp; sobre&nbsp; la&nbsp; ECV, debido a su asociaci&oacute;n con las dislipidemias, la hipertensi&oacute;n arterial, la resistencia a la insulina y la diabetes tipo 2 (8-10).&nbsp; Adem&aacute;s,&nbsp; su&nbsp; distribuci&oacute;n&nbsp; se&nbsp; relaciona&nbsp; principalmente con concentraciones elevadas de triglic&eacute;ridos y bajas de la lipoprote&iacute;na de alta densidad (HDL-c ) (8,11).    <br>         <br>     La&nbsp; ECV&nbsp; representa&nbsp; la&nbsp; primera&nbsp; causa&nbsp; de&nbsp; muerte&nbsp; en&nbsp; los adultos&nbsp; (3),&nbsp; constituyendo&nbsp; uno&nbsp; de&nbsp; los&nbsp; mayores&nbsp; problemas de&nbsp; salud&nbsp; p&uacute;blica&nbsp; tanto&nbsp; en&nbsp; pa&iacute;ses&nbsp; desarrollados,&nbsp; como&nbsp; en v&iacute;as de desarrollo. En Venezuela, seg&uacute;n reporte emitido por el Ministerio del Poder Popular para la Salud, la mortalidad por ECV ocupa el primer lugar con 21,4% y con 20,0% en el Estado Carabobo, siendo m&aacute;s elevada la proporci&oacute;n en las mujeres que en los hombres (12).     ]]></body>
<body><![CDATA[<br>         <br>     Diversas&nbsp; investigaciones&nbsp; se&ntilde;alan&nbsp; que&nbsp; los&nbsp; procesos ateroscler&oacute;ticos y los factores de riesgo asociados a eventos cardiovasculares se inician durante la infancia (3,10,13,14). Se ha reportado presencia de estr&iacute;as grasas en las arterias desde&nbsp; la&nbsp; ni&ntilde;ez,&nbsp; las&nbsp; cuales&nbsp; evolucionan&nbsp; a&nbsp; placas&nbsp; fibrosas durante la adolescencia y progresan a medida que aumenta la edad (10,15,16). La velocidad con la que se acelera este proceso depende de la presencia sostenida de factores de riesgo tales como dislipidemias, obesidad, falta de actividad f&iacute;sica&nbsp; e&nbsp; inadecuada&nbsp; alimentaci&oacute;n&nbsp; desde&nbsp; la&nbsp; infancia,&nbsp; los cuales facilitan el desarrollo de ECV en la edad adulta (15).    <br>         <br>     Por&nbsp; otra&nbsp; parte,&nbsp; se&nbsp; ha&nbsp; se&ntilde;alado&nbsp; que&nbsp; los&nbsp; &iacute;ndices&nbsp; de aterogenicidad,&nbsp; Colesterol&nbsp; total/HDL-c,&nbsp; LDL-c/HDL-c&nbsp; son &uacute;tiles para la predicci&oacute;n de eventos cardiovasculares, m&aacute;s que el colesterol total (CT), la lipoprote&iacute;na de baja densidad (LDL-c) y HDL-c en forma individual (17). De igual forma se ha&nbsp; propuesto&nbsp; al&nbsp; colesterol&nbsp; no-HDL (colesterol&nbsp; total menos HDL-c)&nbsp; como&nbsp; una&nbsp; mejor&nbsp; herramienta&nbsp; en&nbsp; la&nbsp; evaluaci&oacute;n y&nbsp; tratamiento&nbsp; de&nbsp; la&nbsp; ECV,&nbsp; ya&nbsp; que&nbsp; incluye&nbsp; a&nbsp; todas&nbsp; las lipoprote&iacute;nas aterog&eacute;nicas ricas en colesterol, triglic&eacute;ridos y la apolipoprote&iacute;na B (ApoB) (18,19).    <br>         <br>     La&nbsp; obesidad&nbsp; y&nbsp; las&nbsp; dislipidemias&nbsp; tienen&nbsp; efectos&nbsp; delet&eacute;reos sobre&nbsp; la&nbsp; salud&nbsp; desde&nbsp; edades&nbsp; tempranas&nbsp; del&nbsp; desarrollo, por&nbsp; lo&nbsp; que&nbsp; este&nbsp; estudio&nbsp; tiene&nbsp; como&nbsp; objetivo&nbsp; evaluar&nbsp; la circunferencia de cintura y su relaci&oacute;n con el perfil de l&iacute;pidos (TG, CT, HDL-c, LDL-c), los &iacute;ndices de riesgo cardiovascular (CT/HDL-c,&nbsp; LDL-c/HDL-c,&nbsp; TG/HDL-c&nbsp;&nbsp;&nbsp; )&nbsp; y&nbsp; el&nbsp; Colesterol&nbsp; no HDL en adolescentes.    <br>         <br>         <br>     <span style="font-weight: bold;">MATERIALES Y M&Eacute;TODOS</span>    <br>         ]]></body>
<body><![CDATA[<br>     El&nbsp; estudio&nbsp; se&nbsp; llev&oacute;&nbsp; a&nbsp; cabo&nbsp; en&nbsp; el&nbsp; Municipio&nbsp; Naguanagua del Estado Carabobo, entre los a&ntilde;os 2010 y 2011, fue de corte&nbsp; transversal,&nbsp; de&nbsp; campo,&nbsp; descriptivo&nbsp; y&nbsp; correlacional. La&nbsp; selecci&oacute;n&nbsp; de&nbsp; la&nbsp; muestra&nbsp; fue&nbsp; aleatoria&nbsp; y&nbsp; representativa de&nbsp; dos&nbsp; instituciones&nbsp; educativas,&nbsp; estuvo&nbsp; conformada&nbsp; por 414&nbsp; adolescentes,&nbsp; quienes&nbsp; cumplieron&nbsp; con&nbsp; los&nbsp; siguientes criterios&nbsp; de&nbsp; inclusi&oacute;n:&nbsp; edad&nbsp; comprendida&nbsp; entre&nbsp; 12&nbsp; y&nbsp; 16,9 a&ntilde;os, aparentemente sanos y que completaran la evaluaci&oacute;n antropom&eacute;trica y bioqu&iacute;mica. Los padres o representantes firmaron&nbsp; el&nbsp; consentimiento&nbsp; por&nbsp; escrito,&nbsp; una&nbsp; vez&nbsp; que&nbsp; se les&nbsp; informara&nbsp; sobre&nbsp; los&nbsp; objetivos&nbsp; de&nbsp; la&nbsp; investigaci&oacute;n.&nbsp; El estudio&nbsp; fue&nbsp; aprobado&nbsp; por&nbsp; el&nbsp; Comit&eacute;&nbsp; de&nbsp; &Eacute;tica&nbsp; del&nbsp; Consejo de Desarrollo Cient&iacute;fico y Human&iacute;stico de la Universidad de Carabobo.    <br>         <br>     Medidas antropom&eacute;tricas. El peso se midi&oacute; con el sujeto descalzo, en posici&oacute;n firme, con ropa ligera y los brazos a ambos lados del cuerpo. Se utiliz&oacute; una balanza calibrada de pie marca Health-o-Meter, el valor se registr&oacute; en kilogramos. La estatura se determin&oacute; mediante el uso de un estadi&oacute;metro marca Holtain y se expres&oacute; en cent&iacute;metros (20).Para la categorizaci&oacute;n del estado nutricional, se calcul&oacute; el IMC a partir de la f&oacute;rmula peso/talla2, expresado en kg/m2. Se consideraron los puntajes Z de acuerdo a los criterios de la OMS (21). Para d&eacute;ficit: Z inferior a -2, en la norma: Z entre -2 y +1, sobrepeso: Z entre +1 y +2 y obesidad: Z superior a +2, se aplic&oacute; el software AnthroPlus versi&oacute;n 1.0.2.    <br>         <br>     La CC se tom&oacute; en el punto medio, entre las crestas il&iacute;acas y&nbsp; los&nbsp; bordes&nbsp; costales&nbsp; (20).&nbsp; Para&nbsp; su&nbsp; caracterizaci&oacute;n,&nbsp; se utiliz&oacute; como criterio la referencia de McCarthy y col., el cual contempla&nbsp; una&nbsp; distribuci&oacute;n&nbsp; percentilar&nbsp; de&nbsp; dicha&nbsp; variable para cada g&eacute;nero entre los 5,0 y 16,9 a&ntilde;os, considerando &ldquo;sobre&nbsp; la&nbsp; norma&rdquo;&nbsp; mayor&nbsp; del&nbsp; percentil&nbsp; 90&nbsp; (22).&nbsp; Todas&nbsp; las medidas fueron tomadas por personal m&eacute;dico debidamente estandarizado para tal fin.    <br>         <br>     Pruebas bioqu&iacute;micas. La determinaci&oacute;n fue realizada por el personal profesional del laboratorio. A cada adolescente se&nbsp; le&nbsp; extrajo&nbsp; 5mL&nbsp; de&nbsp; sangre&nbsp; perif&eacute;rica&nbsp; mediante&nbsp; punci&oacute;n venosa,&nbsp; despu&eacute;s&nbsp; de&nbsp; 12&nbsp; horas&nbsp; de&nbsp; ayuno.&nbsp; El&nbsp; suero&nbsp; libre de&nbsp; hem&oacute;lisis&nbsp; se&nbsp; obtuvo&nbsp; luego&nbsp; de&nbsp; la&nbsp; centrifugaci&oacute;n&nbsp; y&nbsp; se almacen&oacute; a -70&deg;C hasta el momento de su an&aacute;lisis, en el laboratorio del Instituto de Investigaciones en Nutrici&oacute;n de la&nbsp; Universidad&nbsp; de&nbsp; Carabobo.&nbsp; La&nbsp; separaci&oacute;n&nbsp; de&nbsp; las&nbsp; HDL-c se&nbsp; realiz&oacute;&nbsp; mediante&nbsp; el&nbsp; m&eacute;todo&nbsp; de&nbsp; precipitaci&oacute;n,&nbsp; utilizando reactivos&nbsp; de&nbsp; la&nbsp; marca&nbsp; comercial&nbsp; Wiener&nbsp; Lab.&nbsp; Los&nbsp; niveles de&nbsp; CT,&nbsp; HDL-c&nbsp; post-precipitaci&oacute;n&nbsp; y&nbsp; TG&nbsp; se&nbsp; determinaron mediante m&eacute;todo enzim&aacute;tico colorim&eacute;trico, empleando los reactivos de la misma marca comercial. Todas las pruebas se midieron en un analizador semiautomatizado, modelo BTS-310.Se calcul&oacute; el LDL-c mediante la ecuaci&oacute;n de Friedewald (LDL-c=&nbsp; CT&ndash;HDL-c&ndash;TG/5),&nbsp; as&iacute;&nbsp; como&nbsp; el&nbsp; colesterol&nbsp; no-HDL (CT-HDL-c) (23) y las relaciones CT/HDL-C, LDL-C/HDL-c y TG/HDL-c, como indicadores de riesgo cardiovascular.    <br>         <br>     Para&nbsp; el&nbsp; perfil&nbsp; lip&iacute;dico&nbsp; se&nbsp; consideraron&nbsp; los&nbsp; criterios&nbsp; del Panel de Expertos en la Integraci&oacute;n de Directrices para la Salud&nbsp; y&nbsp; Reducci&oacute;n&nbsp; del&nbsp; Riesgo&nbsp; Cardiovascular&nbsp; en&nbsp; Ni&ntilde;os&nbsp; y Adolescentes.&nbsp; CT&nbsp; (mg/dL):&nbsp; aceptable&nbsp; &lt;170,&nbsp; lim&iacute;trofe&nbsp; 170-199 y elevado &ge;200. LDL-c (mg/dL): aceptable &lt;110, lim&iacute;trofe 110-129&nbsp; y&nbsp; elevado&nbsp; &ge;130.&nbsp; HDL-c:&nbsp; aceptable&nbsp; &gt;45,&nbsp; lim&iacute;trofe 40-45 y bajo &lt;40. TG (mg/dL): aceptable &lt;75, lim&iacute;trofe 75-99 y elevado &ge;100. Colesterol no-HDL (mg/dL): aceptable &lt;120, lim&iacute;trofe 120-144 y elevado &ge;145 (24). En cuanto a los &iacute;ndices CT/HDL-c y LDL-C/HDL-c, se utilizaron los valores referidos&nbsp; por&nbsp; Moura&nbsp; y&nbsp; col:&nbsp; CT/HDL-c:&nbsp; adecuado&nbsp; 3,3-5,0&nbsp; y riesgo &gt;5,0, para LDL-C/HDL-c: adecuada 2,0-3,5 y riesgo &gt;3,5 (25) y para TG/HDL-Clos reportados por Marotta y col: adecuado&lt;3,0 y riesgo &ge;3,0 (26).    <br>         ]]></body>
<body><![CDATA[<br>     Estad&iacute;stica.&nbsp; Se&nbsp; calcularon&nbsp; estad&iacute;sticos&nbsp; descriptivos (promedios,&nbsp; desviaci&oacute;n&nbsp; est&aacute;ndar). A&nbsp; fin&nbsp; de&nbsp; conocer&nbsp; si&nbsp; las variables&nbsp; segu&iacute;an&nbsp; una&nbsp; distribuci&oacute;n&nbsp; normal,&nbsp; se&nbsp; aplic&oacute;&nbsp; la prueba de normalidad Kolmogorov-Smirnov, resultando que ninguna de ellas se ajustaban a una distribuci&oacute;n normal, por lo que se seleccionaron pruebas no param&eacute;tricas. La&nbsp; prueba&nbsp; de&nbsp; Mann&nbsp; -&nbsp; Whitney&nbsp; se&nbsp; aplic&oacute;&nbsp; para&nbsp; establecer comparaciones&nbsp; entre&nbsp; las&nbsp; variables&nbsp; antropom&eacute;tricas&nbsp; y lip&iacute;dicas seg&uacute;n el g&eacute;nero y la CC. Para la asociaci&oacute;n entre los&nbsp; par&aacute;metros&nbsp; lip&iacute;dicos&nbsp; y&nbsp; las&nbsp; categor&iacute;as&nbsp; de&nbsp; CC&nbsp; se&nbsp; utiliz&oacute; la&nbsp; prueba&nbsp; de&nbsp; Chi&nbsp; cuadrado&nbsp; y&nbsp; para&nbsp; establecer&nbsp; la&nbsp; relaci&oacute;n de&nbsp; riesgo&nbsp; entre&nbsp; los&nbsp; &iacute;ndices&nbsp; aterog&eacute;nicos&nbsp; y&nbsp; las&nbsp; categor&iacute;as     de&nbsp; la&nbsp; CC,&nbsp; el&nbsp; Odds&nbsp; Ratio&nbsp; (OR).&nbsp; Se&nbsp; estableci&oacute;&nbsp; el&nbsp; valor&nbsp; de p&lt;0,05&nbsp; para&nbsp; la&nbsp; significancia&nbsp; estad&iacute;stica.&nbsp; Todos&nbsp; los&nbsp; datos fueron procesados en el programa estad&iacute;stico SPSS para Windows, versi&oacute;n 17,0.    <br>         <br>     <span style="font-weight: bold;">RESULTADOS</span>    <br>         <br>     La&nbsp; muestra&nbsp; estuvo&nbsp; constituida&nbsp; por&nbsp; 414&nbsp; adolescentes&nbsp; de dos&nbsp; instituciones&nbsp; educativas&nbsp; del&nbsp; Municipio&nbsp; Naguanagua, 39,6%&nbsp; del&nbsp; g&eacute;nero&nbsp; masculino&nbsp; (n=164)&nbsp; y&nbsp; 60,4%&nbsp; del&nbsp; g&eacute;nero femenino&nbsp; (n=250),&nbsp; el&nbsp; promedio&nbsp; de&nbsp; edad&nbsp; fue&nbsp; de&nbsp; 14,9&plusmn;1,7 a&ntilde;os, el IMC de 21,5&plusmn;3,7. De acuerdo al estado nutricional antropom&eacute;trico, 2,9% estaban en d&eacute;ficit, 72% en la norma, 18,1% en sobrepeso y 7,0% en obesidad. Con respecto a     <br>     la CC, 61,1% (n= 253) de los adolescentes estaban en la norma y 38,9% (n=161) sobre la norma.    <br>         <br>     La&nbsp; <a href="#Tabla_1.">Tabla&nbsp; 1</a>&nbsp; presenta&nbsp; las&nbsp; variables&nbsp; antropom&eacute;tricas&nbsp; y bioqu&iacute;micas&nbsp; de&nbsp; acuerdo&nbsp; al&nbsp; g&eacute;nero.&nbsp; Los&nbsp; adolescentes&nbsp; del g&eacute;nero&nbsp; masculino&nbsp; presentaron&nbsp; promedios&nbsp; m&aacute;s&nbsp; elevados en todas las variables antropom&eacute;tricas al compararlos con el&nbsp; g&eacute;nero&nbsp; femenino,&nbsp; con&nbsp; una&nbsp; significancia&nbsp; estad&iacute;stica&nbsp; de p&lt;0,05.&nbsp; Referente&nbsp; a&nbsp; las&nbsp; variables&nbsp; bioqu&iacute;micas,&nbsp; el&nbsp; g&eacute;nero femenino&nbsp; mostr&oacute;&nbsp; niveles&nbsp; significativamente&nbsp; m&aacute;s&nbsp; elevados de CT, HDL-c, LDL-c y de colesterol no-HDL, aunque esta &uacute;ltima variable no presento diferencia significativa, el &iacute;ndice TG/HDL-c&nbsp; fue&nbsp; m&aacute;s&nbsp; alto&nbsp; en&nbsp; el&nbsp; g&eacute;nero&nbsp; masculino&nbsp; con&nbsp; una p=0,015,&nbsp; adem&aacute;s&nbsp; presentaron&nbsp; una&nbsp; tendencia&nbsp; a&nbsp; valores m&aacute;s&nbsp; elevados&nbsp; de&nbsp; triglic&eacute;ridos,CT/HDL-c&nbsp; y&nbsp; LDL/HDL-c,&nbsp; sin diferencia estad&iacute;sticamente significativa.    <br>         <br>    </span></font>     ]]></body>
<body><![CDATA[<div style="text-align: center;"><font size="-1"><span style="font-family: Verdana;"><span style="font-weight: bold;"><a name="Tabla_1."></a> Tabla 1. </span>Variables antropom&eacute;tricas y bioqu&iacute;micas seg&uacute;n g&eacute;nero.    <br>        <br>    <img style="width: 321px; height: 387px;" alt="" src="/img/fbpe/s/v19n2/art07fig1.jpg">    
<br>    </span></font><font size="-1"><span style="font-family: Verdana;"></span></font></div>    <font size="-1"><span style="font-family: Verdana;">     <br>     La <a href="#Tabla_2.">Tabla 2</a> compara las variables antropom&eacute;tricas y lip&iacute;dicas de acuerdo a la circunferencia de cintura, los adolescentes con CC&ge;p90 ten&iacute;an valores m&aacute;s elevados de peso, IMC, IMC Z score (p= 0,000) y de CT, colesterol no HDL, TG, CT/HDL-c y TG/HDL-c (p&lt;0,05), que los adolescentes con CC&lt;p90. Los niveles de HDL-C fueron m&aacute;s bajos en el grupo con CC&ge;p90, aunque sin diferencia estad&iacute;sticamente significativa.    <br>     <a name="Tabla_2."></a>    <br>    </span></font>     <div style="text-align: center;"><font size="-1"><span style="font-family: Verdana;"><span style="font-weight: bold;"> Tabla&nbsp; 2.&nbsp;</span> Variables&nbsp; antropom&eacute;tricas&nbsp; y&nbsp; bioqu&iacute;micas&nbsp; seg&uacute;n circunferencia de cintura.    <br>        <br>    <img style="width: 325px; height: 335px;" alt="" src="/img/fbpe/s/v19n2/art07fig2.jpg">    
]]></body>
<body><![CDATA[<br>    </span></font><font size="-1"><span style="font-family: Verdana;"></span></font></div>    <font size="-1"><span style="font-family: Verdana;">     <br>     La <a href="#Tabla_3.">Tabla 3</a> muestra la asociaci&oacute;n entre la CC y los &iacute;ndices aterog&eacute;nicos&nbsp; y&nbsp; se&nbsp; observa&nbsp; que&nbsp; los&nbsp; adolescentes&nbsp; con CC&ge;p90,&nbsp; presentaron&nbsp; mayor&nbsp; riesgo&nbsp; aterog&eacute;nico,&nbsp; reflejado por una mayor proporci&oacute;n de sujetos con alteraci&oacute;n de estos &iacute;ndices, siendo la relaci&oacute;n CT/HDL-c, LDL-C/HDL-c y de TG/HDL-c de 3,7, 4,4 y 3,6 veces m&aacute;s alta, respectivamente, comparada con el grupo con CC&lt;p90.    <br>         <br>    </span></font>     <div style="text-align: center;"><font size="-1"><span style="font-family: Verdana;"><span style="font-weight: bold;"><a name="Tabla_3."></a> Tabla&nbsp; 3.</span>&nbsp; Asociaci&oacute;n&nbsp; entre&nbsp; circunferencia&nbsp; de&nbsp; cintura&nbsp; e&nbsp; &iacute;ndices aterog&eacute;nicos.    <br>        <br>    <img style="width: 325px; height: 189px;" alt="" src="/img/fbpe/s/v19n2/art07fig3.jpg">    
<br>    </span></font><font size="-1"><span style="font-family: Verdana;"></span></font></div>    <font size="-1"><span style="font-family: Verdana;"> <span style="font-weight: bold;">DISCUSION</span>    <br>         <br>     Las&nbsp; alteraciones&nbsp; en&nbsp; los&nbsp; niveles&nbsp; de&nbsp; l&iacute;pidos&nbsp; y&nbsp; de&nbsp; las lipoprote&iacute;nas y la presencia de obesidad pueden contribuir al&nbsp; desarrollo&nbsp; de&nbsp; la&nbsp; ECV&nbsp; (1,11,27),&nbsp; la&nbsp; cual&nbsp; es&nbsp; la&nbsp; primera causa&nbsp; de&nbsp; mortalidad&nbsp; en&nbsp; el&nbsp; mundo&nbsp; y&nbsp; en&nbsp; Venezuela,&nbsp; por&nbsp; lo que la detecci&oacute;n precoz de las alteraciones en el perfil de l&iacute;pidos es una herramienta valiosa en la prevenci&oacute;n de la aterosclerosis. En este estudio el g&eacute;nero femenino present&oacute;&nbsp; concentraciones m&aacute;s elevadas de colesterol total, LDL-c y HDL-c,&nbsp; estos&nbsp; resultados&nbsp; son&nbsp; similares&nbsp; a&nbsp; lo&nbsp; reportado&nbsp; por Carias y col, en una evaluaci&oacute;n del estado nutricional y del perfil de l&iacute;pidos en adolescentes de la ciudad de Caracas (2). Sin embargo, al evaluar por sexo el riesgo aterog&eacute;nico, seg&uacute;n los &iacute;ndices CT/HDL-c y LDL-C/HDL-c, no se encontr&oacute; diferencias estad&iacute;sticamente significativas.    ]]></body>
<body><![CDATA[<br>         <br>     Diversos&nbsp; estudios&nbsp; han&nbsp; reportado&nbsp; que&nbsp; existe&nbsp; una&nbsp; clara correlaci&oacute;n&nbsp; entre&nbsp; la&nbsp; obesidad,&nbsp; el&nbsp; sobrepeso&nbsp; y&nbsp; los&nbsp; factores de&nbsp; riesgo&nbsp; cardiovascular.&nbsp; Los&nbsp; mismos&nbsp; han&nbsp; enfatizado la&nbsp; importancia&nbsp; de&nbsp; la&nbsp; distribuci&oacute;n&nbsp; de&nbsp; la&nbsp; grasa&nbsp; corporal, espec&iacute;ficamente en el &aacute;rea visceral y su relaci&oacute;n con riesgo cardiovascular&nbsp; y&nbsp; metab&oacute;lico&nbsp; (5,6,28,29).&nbsp; Se&nbsp; ha&nbsp; descrito que el exceso de grasa corporal incrementa la sensibilidad      lipol&iacute;tica,&nbsp; exponiendo&nbsp; al&nbsp; h&iacute;gado&nbsp; a&nbsp; la&nbsp; hiperlipidemia,&nbsp; que puede causar resistencia a la insulina, hipertensi&oacute;n arterial, intolerancia a la glucosa e hiperinsulinemia, factores claves para el desarrollo del s&iacute;ndrome metab&oacute;lico, ECV y diabetes (30).La circunferencia de cintura ha surgido como un buen indicador&nbsp; para&nbsp; la&nbsp; estimaci&oacute;n&nbsp; de&nbsp; la&nbsp; grasa&nbsp; abdominal,&nbsp; ya que&nbsp; requiere&nbsp; de&nbsp; un&nbsp; equipo&nbsp; simple&nbsp; y&nbsp; econ&oacute;mico,&nbsp; adem&aacute;s de correlacionarse con otras t&eacute;cnicas, como la tomograf&iacute;a computarizada&nbsp; y&nbsp; la&nbsp; absorciometr&iacute;a&nbsp; de&nbsp; rayos&nbsp; x&nbsp; de&nbsp; energ&iacute;a dual&nbsp; (5).En&nbsp; esta&nbsp; investigaci&oacute;n&nbsp; 38,9%&nbsp; de&nbsp; los&nbsp; adolescentes ten&iacute;an&nbsp; CC&ge;p90,&nbsp; los&nbsp; cuales&nbsp; presentaron&nbsp; cifras&nbsp; elevadas de&nbsp; CT&nbsp; y&nbsp; de TG&nbsp; y&nbsp; m&aacute;s&nbsp; bajos&nbsp; de&nbsp; HDL-c,&nbsp; que&nbsp; aquellos&nbsp; con CC&lt;p90, coloc&aacute;ndolos en riesgo de padecer enfermedades cr&oacute;nicas no transmisibles. Estos resultados concuerdan con lo reportado por Bassalli y col, quienes estudiaron la utilidad de los percentiles de CC en la evaluaci&oacute;n de riesgo en ni&ntilde;os obesos, (31) y con Watts y col, que evaluaron la CC como predictor&nbsp; de&nbsp; riesgo&nbsp; cardiovascular&nbsp; en&nbsp; ni&ntilde;os&nbsp; australianos (32). Ambos autores se&ntilde;alan que un per&iacute;metro de cintura elevado se correlaciona con un perfil lip&iacute;dico potencialmente aterog&eacute;nico.    <br>         <br>     Se&nbsp; ha&nbsp; descrito&nbsp; que&nbsp; la&nbsp; hipercolesterolemia&nbsp; y&nbsp; las&nbsp; altas concentraciones&nbsp; plasm&aacute;ticas&nbsp; de&nbsp; LDL-c&nbsp; en&nbsp; adolescentes sugieren una susceptibilidad gen&eacute;tica (8,24). La elevaci&oacute;n de&nbsp; concentraciones&nbsp; plasm&aacute;ticas&nbsp; de&nbsp; CT&nbsp; se&nbsp; han&nbsp; reportado en&nbsp; adolescentes&nbsp; con&nbsp; o&nbsp; sin&nbsp; antecedentes&nbsp; familiares&nbsp; de ECV&nbsp; prematura&nbsp; (8).&nbsp; Adem&aacute;s,&nbsp; se&nbsp; ha&nbsp; observado&nbsp; que&nbsp; las concentraciones s&eacute;ricas de HDL-c se asocian inversamente con la distribuci&oacute;n de la grasa corporal (7,8). La asociaci&oacute;n entre la hipertrigliceridemia y la obesidad centralizada puede ser explicada por el n&uacute;mero y tama&ntilde;o de los adipocitos en la regi&oacute;n abdominal, los cuales promueven la resistencia a la insulina e intensifican la liberaci&oacute;n de &aacute;cidos grasos libres dentro&nbsp; del&nbsp; plasma&nbsp; (8).&nbsp; Adicionalmente,&nbsp; se&nbsp; ha&nbsp; reportado que los adipocitos viscerales poseen m&aacute;s receptores beta adren&eacute;rgicos,&nbsp; por&nbsp; lo&nbsp; que&nbsp; sufren&nbsp; m&aacute;s&nbsp; lip&oacute;lisis&nbsp; al&nbsp; presentar una actividad de la lipasa sensible a hormona aumentada (33).</span></font>    <p> <font size="-1"><span style="font-family: Verdana;">     <br>     Los&nbsp; indicadores&nbsp; de&nbsp; riesgo&nbsp; aterog&eacute;nico&nbsp; son&nbsp; reflejo&nbsp; de&nbsp; los principales&nbsp; componentes&nbsp; del&nbsp; metabolismo&nbsp; de&nbsp; los&nbsp; l&iacute;pidos, resultan&nbsp; ser&nbsp; una&nbsp; herramienta&nbsp; eficaz&nbsp; para&nbsp; la&nbsp; detecci&oacute;n&nbsp; de individuos con riesgo de desarrollar ECV, ya que su valor predictivo es mayor que los datos aislados de CT, LDL-c y HDL-c (17,34,35). Los sujetos que presentan alteraciones en&nbsp; estos&nbsp; indicadores&nbsp; tienen&nbsp; mayor&nbsp; riesgo&nbsp; cardiovascular, debido&nbsp; a&nbsp; un&nbsp; desequilibrio&nbsp; entre&nbsp; el&nbsp; colesterol&nbsp; (vehiculizado por&nbsp; las&nbsp; lipoprote&iacute;nas&nbsp; aterog&eacute;nicas)&nbsp; y&nbsp; las&nbsp; lipoprote&iacute;nas protectoras.&nbsp; Este&nbsp; desequilibrio&nbsp; puede&nbsp; atribuirse&nbsp; a&nbsp; un aumento de los componentes aterog&eacute;nicos contenidos en el numerador, a un descenso de la HDL-c (denominador), o a ambas (35).    <br>         <br>     Patol&oacute;gicamente el proceso de la aterosclerosis comienza con la acumulaci&oacute;n anormal de l&iacute;pidos en la &iacute;ntima vascular, la&nbsp; cual&nbsp; es&nbsp; una&nbsp; etapa&nbsp; reversible,&nbsp; luego&nbsp; progresa&nbsp; a&nbsp; una etapa avanzada en la que un n&uacute;cleo de l&iacute;pido extracelular est&aacute; cubierto por una capa fibromuscular, y culmina en la trombosis,&nbsp; la&nbsp; ruptura&nbsp; vascular,&nbsp; o&nbsp; s&iacute;ndromes&nbsp; isqu&eacute;micos agudos (16). Su origen es multifactorial y en la infancia el patr&oacute;n que predomina es una combinaci&oacute;n de dislipidemias con&nbsp; obesidad&nbsp; (24).&nbsp; Los&nbsp; adolescentes&nbsp; de&nbsp; este&nbsp; estudio&nbsp; con CC&ge;p90 presentaron mayor riesgo aterog&eacute;nico, evidenciado por&nbsp; valores&nbsp; m&aacute;s&nbsp; altos&nbsp; de&nbsp; las&nbsp; relaciones&nbsp; CT/HDL-c,&nbsp; LDL/HDL-c&nbsp; y&nbsp; TG/HDL-c.&nbsp; De&nbsp; los&nbsp; tres&nbsp; &iacute;ndices&nbsp; evaluados&nbsp; en&nbsp; la presente investigaci&oacute;n, el que mostr&oacute; mayor asociaci&oacute;n con la CC fue TG/HDL-c (Chi2 9,488; p=0,002). El &iacute;ndice TG/HDL-c relaciona las concentraciones molares de los TG y de HDL-C y es un indicador indirecto del tama&ntilde;o de las part&iacute;culas de LDL-C (26,34). Las concentraciones plasm&aacute;ticas de los triglic&eacute;ridos dependen de la actividad de la lipoproteinlipasa, que&nbsp; eleva&nbsp; los&nbsp; remanentes&nbsp; de&nbsp; quilomicrones&nbsp; y&nbsp; reduce&nbsp; los valores de HDL-c. La asociaci&oacute;n entre un mayor n&uacute;mero de part&iacute;culas aterog&eacute;nicas de LDL-c, valores elevados de TG y bajos de HDL-c, convierte a este &iacute;ndice en un marcador &uacute;til para evaluar el metabolismo anormal de los triglic&eacute;ridos (34) y podr&iacute;a ser utilizado como un marcador para identificar ni&ntilde;os&nbsp; y&nbsp; adolescentes&nbsp; en&nbsp; riesgo&nbsp; de&nbsp; desarrollar&nbsp; obesidad&nbsp; y dislipidemias(3).    <br>         <br>     Se ha descrito que las mol&eacute;culas del LDL-c est&aacute;n involucradas en la fase temprana del proceso de aterosclerosis y que su incremento&nbsp; est&aacute;&nbsp; asociado&nbsp; a&nbsp; un&nbsp; aumento&nbsp; en&nbsp; el&nbsp; riesgo&nbsp; de muerte por ECV (24). No obstante, hay evidencias recientes que&nbsp; indican&nbsp; que&nbsp; el&nbsp; colesterol&nbsp; no-HDL,&nbsp; el&nbsp; cual&nbsp; puede&nbsp; ser f&aacute;cilmente calculado, es un marcador superior del desarrollo de la ECV en comparaci&oacute;n con la medida convencional de LDL-c.&nbsp; Ello&nbsp; es&nbsp; debido&nbsp; a&nbsp; que&nbsp; no&nbsp; solo&nbsp; incluye&nbsp; el&nbsp; colesterol de&nbsp; las&nbsp; LDL,&nbsp; sino&nbsp; que&nbsp; comprende&nbsp; la&nbsp; lipoprote&iacute;na&nbsp; de&nbsp; muy baja densidad (VLDL-c), la de densidad intermedia (IDL-c) (13,24,37)&nbsp; y&nbsp; los&nbsp; remanentes&nbsp; de&nbsp; VLDL-c,&nbsp; las&nbsp; cuales&nbsp; por ser&nbsp; mol&eacute;culas&nbsp; muy&nbsp; peque&ntilde;as&nbsp; y&nbsp; densas,&nbsp; son&nbsp; altamente aterog&eacute;nicas(13).&nbsp; El&nbsp; estudio&nbsp; sobre&nbsp; las&nbsp; &ldquo;Determinantes patobiol&oacute;gicas de la aterosclerosis en la juventud&rdquo; (PDAY),     evalu&oacute;&nbsp; el&nbsp; grado&nbsp; de&nbsp; aterosclerosis&nbsp; en&nbsp; ni&ntilde;os,&nbsp; adolescentes y&nbsp; adultos&nbsp; j&oacute;venes&nbsp; que&nbsp; murieron&nbsp; en&nbsp; accidentes&nbsp; y&nbsp;&nbsp;&nbsp; report&oacute; que&nbsp; por&nbsp; cada&nbsp; 30&nbsp; mg/dL&nbsp; de&nbsp; aumento&nbsp; del&nbsp; colesterol&nbsp; no-HDL,&nbsp; hay&nbsp; un&nbsp; aumento&nbsp; en&nbsp; el&nbsp; alcance&nbsp; y&nbsp; la&nbsp; gravedad&nbsp; dela aterosclerosis&nbsp; (24).&nbsp; En&nbsp; este&nbsp; estudio&nbsp; los&nbsp; adolescentes&nbsp; con CC&ge;p90,&nbsp; presentaron&nbsp; cifras&nbsp; m&aacute;s&nbsp; altas&nbsp; colesterol&nbsp; no-HDL, concordando&nbsp; con&nbsp; lo&nbsp; informado&nbsp; por&nbsp; Vieira&nbsp; y&nbsp; col,&nbsp; quienes asociaron&nbsp; dislipidemias&nbsp; e&nbsp; indicadores&nbsp; antropom&eacute;tricos&nbsp; en un grupo de adolescentes (8).    ]]></body>
<body><![CDATA[<br>         <br>     En los &uacute;ltimos a&ntilde;os se ha observado un aumento constante de&nbsp; sobrepeso&nbsp; y&nbsp; obesidad&nbsp; en&nbsp; la&nbsp; juventud&nbsp; venezolana,&nbsp; lo que conlleva a una poblaci&oacute;n mayor de adolescentes con dislipidemias&nbsp; y&nbsp; enfermedades&nbsp; cr&oacute;nicas&nbsp; no&nbsp; transmisibles. En&nbsp; este&nbsp; sentido,&nbsp; la Academia Americana&nbsp; de&nbsp; Pediatr&iacute;a&nbsp; ha enfatizado la importancia de la detecci&oacute;n de los l&iacute;pidos en los&nbsp; ni&ntilde;os&nbsp; con&nbsp; alto&nbsp; riesgo&nbsp; para&nbsp; ECV,&nbsp; a&nbsp; fin&nbsp; de&nbsp; implementar estrategias de prevenci&oacute;n y de estilo de vida saludables en este grupo etario (16).    <br>         <br>     <span style="font-weight: bold;">CONCLUSIONES</span>    <br>         <br>     Los adolescentes con una CC&ge;p90 presentaron alteraciones en los niveles s&eacute;ricos de los l&iacute;pidos, lo que los coloca en mayor&nbsp; riesgo&nbsp; de&nbsp; presentar&nbsp; dislipidemias,&nbsp; enfermedad cardiovascular&nbsp; y&nbsp; otras&nbsp; enfermedades&nbsp; metab&oacute;licas&nbsp; que aquellos con CC&lt;p90. La medici&oacute;n de la grasa abdominal a trav&eacute;s de la CC es una herramienta sencilla y f&aacute;cil de aplicar en la pr&aacute;ctica cl&iacute;nica, la cual permite identificar de manera precoz a los adolescentes que puedan presentar riesgo de desarrollar ECV y enfermedades cr&oacute;nicas no transmisibles en&nbsp; la&nbsp; vida&nbsp; adulta.&nbsp; Los&nbsp; sujetos&nbsp; con&nbsp; CC&ge;p90&nbsp; presentaron alteraci&oacute;n&nbsp; de&nbsp; los&nbsp; tres&nbsp; &iacute;ndices&nbsp; aterog&eacute;nicos,&nbsp; los&nbsp; que&nbsp; los coloca en riesgo de desarrollar ECV.    <br>         <br>     Financiamiento.&nbsp; Proyecto&nbsp; de&nbsp; grupo&nbsp; CDCH&nbsp; 005-2008. Ayuda Menor de Pregrado No. 0419-10.    <br>         <br>     <span style="font-weight: bold;">REFERENCIAS</span>    ]]></body>
<body><![CDATA[<br>         <!-- ref --><br>     1.&nbsp; Marug&aacute;n&nbsp; J,&nbsp; Monasterio&nbsp; L,&nbsp; Pav&oacute;n&nbsp; M.&nbsp; Alimentaci&oacute;n&nbsp; en&nbsp; el adolescente.&nbsp; En:&nbsp; Protocolos&nbsp; diagn&oacute;stico-terap&eacute;uticos&nbsp; de gastroenterolog&iacute;a,&nbsp; hepatolog&iacute;a&nbsp; y&nbsp; nutrici&oacute;n&nbsp; pedi&aacute;trica.&nbsp; 2da.&nbsp; ed. Erg&oacute;n S.A. Madrid 2010; p. 307-312. Disponible en: <a href="http//www.aeped.es/documentos/protocolos-gastroenterologia-hepatologia-y-nutricion">http//www.aeped.es/documentos/protocolos-gastroenterologia-hepatologia-y-nutricion</a> (Acceso 20 Abril 2015).    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227629&pid=S1316-7138201500020000700001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     2.&nbsp; Car&iacute;as D, Cioccia A, Guti&eacute;rrez M, Hevia P, P&eacute;rez A. Indicadores bioqu&iacute;micos&nbsp; del&nbsp; estado&nbsp; nutricional&nbsp; en&nbsp; adolescentes&nbsp; preuniversitarios de Caracas. AnVenezNutr 2009;22 (1):12-19.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227631&pid=S1316-7138201500020000700002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     3.&nbsp; SouteloJ, Graffigna M, Honfi M, Migliano M, Aranguren M, Proietti A, Musso C, Berg G. &Iacute;ndice triglic&eacute;ridos/HDL-colesterol: en una poblaci&oacute;n deadolescentes sin factores de riesgo cardiovascular.ALAN 2012;62(2):167-171.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227633&pid=S1316-7138201500020000700003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     4.&nbsp; World&nbsp; Health&nbsp; Organization&nbsp; (WHO).&nbsp; Prioritizing&nbsp; areas&nbsp; for&nbsp; action in the field of population-based prevention of Childhood Obesity.Geneva 2012.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227635&pid=S1316-7138201500020000700004&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     5.&nbsp; Vargas M, Souki A, Ru&iacute;z G, Garc&iacute;a D, MengualE, Gonz&aacute;lez C, Ch&aacute;vez M, Gonz&aacute;lez L. Percentiles de circunferencia de cintura en&nbsp; ni&ntilde;os&nbsp; y&nbsp; adolescentes&nbsp; del&nbsp; municipio&nbsp; Maracaibo&nbsp; del&nbsp; Estado Zulia, Venezuela.AnVenezNutr 2011;24(1):13-20.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227637&pid=S1316-7138201500020000700005&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     6.&nbsp; Liu A,&nbsp; Hills A,&nbsp; Hu&nbsp; X,&nbsp; Li Y,&nbsp; Du&nbsp; L,&nbsp; Xu Y,&nbsp; Byrne&nbsp; N,&nbsp; Ma&nbsp; G.&nbsp; Waist circumference cut-off values for the prediction of cardiovascular risk factors clustering in Chinese school-aged children: a cross-sectional study. BMC Public Health 2010; 10:82-90.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227639&pid=S1316-7138201500020000700006&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <br>     7.&nbsp; Jung C, Fischer N, Friztenwanger M, Pernow J, Brehm B, Figulla H. Association of waist circumference, traditional cardiovascular risk factors, and stromal-derivedfactor-1 in adolescents. Pediatr Diabetes 2009; 10: 329&ndash;335.    <br>         <!-- ref --><br>     8.&nbsp; Vieira S, Oliveira C, Galv&atilde;o L, Medeiros P,Arrais R, Campos L. Associationbetweendyslipidemiaandanthropometricindicators&nbsp; in adolescents.NutrHosp 2011;26(2):304-310.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227643&pid=S1316-7138201500020000700008&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <br>     9.&nbsp; Quijada Z, Paoli M, Zerpa Y, Camacho N, Cichetti R, Villarroel V, Arata-Bellabarba G, Lanes R. The triglyceride/HDL-cholesterol ratio&nbsp; as&nbsp; a&nbsp; marker&nbsp; of&nbsp; cardiovascular&nbsp; risk&nbsp; in&nbsp; obese&nbsp; children; association&nbsp; with&nbsp; traditional&nbsp; and&nbsp; emergent&nbsp; risk&nbsp; factors.Pediatr Diabetes 2008;9:464&ndash;471.    <br>         <!-- ref --><br>     10.&nbsp; G&oacute;mez&nbsp; Z,&nbsp; Romero&nbsp; E,&nbsp; Hern&aacute;ndez&nbsp; A,&nbsp; Verd&iacute;n&nbsp; H,&nbsp; Figueroa&nbsp; R, L&oacute;pez&nbsp; Y,&nbsp; Godoy&nbsp; L,&nbsp; Troyo&nbsp; R.&nbsp; Estado&nbsp; de&nbsp; nutrici&oacute;n&nbsp; y&nbsp; perfil&nbsp; de l&iacute;pidos en adolescents de unaescuela rural. Rev MexPediatr 2013; 80(1):5-9.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227647&pid=S1316-7138201500020000700010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     11.&nbsp; Ramzan&nbsp; M,&nbsp; Ali&nbsp; I,&nbsp; Ramzan&nbsp; F,&nbsp; Ramzan&nbsp; F,&nbsp; Ramzan&nbsp; MH.&nbsp; Waist circumference&nbsp; and&nbsp; lipid&nbsp; profile&nbsp; among&nbsp; primary&nbsp; school&nbsp; children. JPMI 2011; 25(3): 222-226.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227649&pid=S1316-7138201500020000700011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     12.&nbsp; Anuario de Mortalidad 2011.Gobierno Bolivariano de Venezuela. Ministerio del Poder Popular para la Salud. Caracas-Venezuela. Enero 2014.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227651&pid=S1316-7138201500020000700012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <br>     13.&nbsp; LiuJ,&nbsp; Joshi&nbsp; D,&nbsp; Sempos&nbsp; Ch.&nbsp; Non-high-density-lipoprotein cholesterol&nbsp; andcardiovascular&nbsp; risk&nbsp; factors&nbsp; among&nbsp; adolescents with and without impaired fasting glucose. ApplPhysiolNutrMetab 2009; 34:136&ndash;142.    <br>         <!-- ref --><br>     14.&nbsp; RibasS, Santana L. Dyslipidemia in Schoolchildren from Private Schools in Bel&eacute;m. Arq Bras Cardiol 2009; 92(6):412-417.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227655&pid=S1316-7138201500020000700014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     15.&nbsp; Alay&oacute;nA,&nbsp; Castro-Orozco&nbsp; R,&nbsp; Gaviria-Esquivia&nbsp; L,&nbsp; Fern&aacute;ndez-Franco M, Ben&iacute;tez-Pe&ntilde;a L. Factores de riesgo cardiovascular en escolares entre 7 y 14 a&ntilde;os en Cartagena, Colombia, 2009. Rev. saludp&uacute;blica 2011; 13(2):196-206.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227657&pid=S1316-7138201500020000700015&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     16.&nbsp; Stephen R, Greer F. Lipid Screening and Cardiovascular Health in Childhood. Pediatrics 2008; 122:198-208.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227659&pid=S1316-7138201500020000700016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     17.&nbsp; Vel&aacute;squezE,&nbsp; Bar&oacute;n&nbsp; M,&nbsp; Solano&nbsp; L,&nbsp; P&aacute;ez&nbsp; M,&nbsp; Llovera&nbsp; D,&nbsp; Portillo Z.&nbsp; Perfil&nbsp; lip&iacute;dico&nbsp; en&nbsp; preescolares&nbsp; venezolanos&nbsp; seg&uacute;n&nbsp; nivel socioecon&oacute;mico. ALAN 2006; 56(1):22-28.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227661&pid=S1316-7138201500020000700017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <br>     18.&nbsp; SrinivasanS, Myers L, Berenson G. Distribution and correlates of non&ndash;high-density lipoprotein cholesterol in children: The Bogalusa heart&nbsp; study.&nbsp; Disponible&nbsp; en&nbsp; <a href="http://pediatrics.aapublications.org/content/110/3/e29.full.html">http://pediatrics.aapublications.org/content/110/3/e29.full.html</a> . Consultado el 25 de octubre 2014.    <br>         <br>     19.&nbsp; LiuJ,&nbsp; SemposCh,&nbsp; Donahue&nbsp; R,&nbsp; Dorn&nbsp; J,&nbsp; Trevisan&nbsp; M,&nbsp; Grundy S.Joint distribution of non-HDL and LDL cholesterol and coronary heart disease risk prediction among individuals withand without diabetes. Diabetes Care 2005; 28:1916&ndash;1921.    <br>         <!-- ref --><br>     20.&nbsp; World&nbsp; Health&nbsp; Organization.&nbsp; Technical&nbsp; Report&nbsp; Series&nbsp; N&deg;&nbsp; 854.Physical&nbsp; Status:The&nbsp; use&nbsp; and&nbsp; interpretation&nbsp; of&nbsp; anthropometry.Geneva 1995.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227667&pid=S1316-7138201500020000700020&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     21.&nbsp; Onis M, Onyango A,, Borghi E, Siyam A, Nishida Ch, Siekmann J.&nbsp; Development&nbsp; of&nbsp; a&nbsp; WHO&nbsp; growth&nbsp; reference&nbsp; for&nbsp; school-aged children and adolescents. Bulletin of de World Organization 2007; 85(9):649-732.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227669&pid=S1316-7138201500020000700021&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <br>     22.&nbsp; McCarthy&nbsp; H,&nbsp; Jarrett&nbsp; K,&nbsp; Crawley&nbsp; H.&nbsp; The&nbsp; development&nbsp; of&nbsp; waist circumference&nbsp; percentiles&nbsp; in&nbsp; British&nbsp; children&nbsp; aged&nbsp; 50&ndash;16.9&nbsp; y. EurJClinNutr 2001;55:902-907.    <br>         <!-- ref --><br>     23.&nbsp; NationalCholesterol&nbsp; Education&nbsp; Program.Working&nbsp; group&nbsp; on lipoprotein&nbsp; measurement.&nbsp; National&nbsp; Institute&nbsp; of&nbsp; Health.&nbsp; National Heart,&nbsp; Lung&nbsp; and&nbsp; blood&nbsp; Institute.&nbsp; NIH&nbsp; Publication&nbsp; N&ordm;&nbsp; 95-3044. September 1995.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227673&pid=S1316-7138201500020000700023&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     24.&nbsp; Expert Panel on Integrated Guidelines for Cardiovascular Health and&nbsp; Risk&nbsp; Reduction&nbsp; in&nbsp; children&nbsp; and&nbsp; adolescents.&nbsp; Full&nbsp; Report.National&nbsp; Institute&nbsp; of&nbsp; Health.National&nbsp; Heart,&nbsp; Lung,&nbsp; and&nbsp; Blood Institute.NIH. Publication N&ordm; 127486. October 2012.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227675&pid=S1316-7138201500020000700024&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     25.&nbsp; Moura E, Mello C, Mell&iacute;n A, Bueno D. Perfil lip&iacute;dico em escolares de Campinas, SP,Brasil. Rev Sa&uacute;dePublica 2000; 34(5):499-505.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227677&pid=S1316-7138201500020000700025&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     26.&nbsp; MarottaT,&nbsp; Russo&nbsp; B,&nbsp; Ferrara&nbsp; A.&nbsp; Triglyceride-to-HDL-cholesterol Ratioand&nbsp; MetabolicSyndrome&nbsp; as&nbsp; Contributorsto&nbsp; Cardiovascular Risk in OverweightPatients. Obesity 2010; 18:1608-1613.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227679&pid=S1316-7138201500020000700026&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     27.&nbsp; LambM,&nbsp; Ogden&nbsp; C,&nbsp; Carrol&nbsp; M,&nbsp; Lacher&nbsp; D,&nbsp; Flegal&nbsp; K. Association of&nbsp; bodyfactpercentagewithlipidsconcentrations&nbsp; in&nbsp; children&nbsp; and adolescents:&nbsp; UnitedStates,&nbsp; 1999-2004.&nbsp; Am&nbsp; J&nbsp; ClinNutr&nbsp; 2011; 94:877-883.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227681&pid=S1316-7138201500020000700027&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     28.&nbsp; Taylor S, Hergenroeder A. Waist circumference predicts increased cardiometabolic&nbsp; risk&nbsp; in&nbsp; normal&nbsp; weight&nbsp; adolescent&nbsp; males.&nbsp; Int&nbsp; J PediatrObes 2011; 6:307-311.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227683&pid=S1316-7138201500020000700028&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     29.&nbsp; Schr&ouml;der&nbsp; H,&nbsp; Ribas&nbsp; L,&nbsp; Koebnick&nbsp; C,&nbsp; Funtikova&nbsp; A,&nbsp; G&oacute;mez&nbsp; S, F&iacute;to&nbsp; M,&nbsp; Perez-Rodrigo&nbsp; C,&nbsp; Serra-Majem&nbsp; Ll.&nbsp; Prevalence&nbsp; of abdominal&nbsp; obesity&nbsp; in&nbsp; Spanishchildren&nbsp; and&nbsp; adolescents.&nbsp; Do weneedwaistcircumferencemeasurements&nbsp; in&nbsp; pediatricpractice? PloSONE 2014;9(1):e87549. doi:10.1371/journal.pone.0087549.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227685&pid=S1316-7138201500020000700029&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <br>     30.&nbsp; P&eacute;rez A,Herrera H, Hern&aacute;ndez R, Hern&aacute;ndez Y, Beltr&aacute;n A, &Aacute;vila G.&nbsp; Waist circumference percentiles in hispanics aged 18 &ndash; 102 y.E SpenEur E J ClinNutrMetab 2011; 6(4) e165-e170.    ]]></body>
<body><![CDATA[<br>         <!-- ref --><br>     31.&nbsp; Bassali R, Waller J, Gower B, Allison J, Davis C. Utility of waist circumference percentile for risk evaluation in obese children. Int J PediatrObes 2010; 5:97-101.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227689&pid=S1316-7138201500020000700031&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <br>     32.&nbsp; Watts K, Bell L, Byrne S, Jones T, Davis E. Waist circumference predicts&nbsp; cardiovascular&nbsp; risk&nbsp; in&nbsp; young&nbsp; Australian&nbsp; children.&nbsp; J Paediatr Child Health 2008; 44:709&ndash;715.    <br>         <!-- ref --><br>     33.&nbsp; Acosta E. Obesidad, tejidoadiposo y resistencia a la insulina. Acta BioquimLatinoam 2012; 46(2):183-194.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227693&pid=S1316-7138201500020000700033&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     34.&nbsp; Irurita M, L&oacute;pez L, Irurita J, Mart&iacute;nez M, D&eacute;niz C, L&oacute;pez J, Chirino R,&nbsp; S&aacute;nchez&nbsp; F.&nbsp; Utilidad&nbsp; del&nbsp; &iacute;ndice&nbsp; aterog&eacute;nico&nbsp; en&nbsp; la&nbsp; predicci&oacute;n de&nbsp; enfermedad&nbsp; coronaria&nbsp; prematura.&nbsp; ClinInvestArterioscl&nbsp; 2007; 19(3):136-42.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227695&pid=S1316-7138201500020000700034&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <!-- ref --><br>     35.&nbsp; Mill&aacute;n J, Pint&oacute; X, Mu&ntilde;oz A, Z&uacute;&ntilde;iga M, Rubi&eacute;s-Prat J, Pallardo L, Masana L, Mangas A, Hern&aacute;ndez A, Ascaso J, Botet J. Cocientes lipoproteicos: significado fisiol&oacute;gico y utilidad cl&iacute;nica de los &iacute;ndices aterog&eacute;nicos&nbsp; en&nbsp; prevenci&oacute;n&nbsp; cardiovascular.&nbsp; ClinInvestArterioscl 2010; 22(1):25-32.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3227697&pid=S1316-7138201500020000700035&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>         <br>     36.&nbsp; Ley&nbsp; S,&nbsp; Harris&nbsp; S,&nbsp; Connelly&nbsp; P,&nbsp; Mamakeesicks&nbsp; M,&nbsp; Gittelsohn&nbsp; J, Wolever M,Hegele R, Zinman B, Hanley A. Utility of Non-high-density&nbsp; lipoprotein&nbsp; cholesterol&nbsp; in&nbsp; assessing&nbsp; incidenttype&nbsp; 2 diabetes risk. DiabetesObesMetab 2012;14:821&ndash;825.</span></font></div>          ]]></body>
<back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marugán]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Monasterio]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Pavón]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[Alimentación en el adolescente.]]></source>
<year>2010</year>
<edition>2da. ed</edition>
<page-range>307-312</page-range><publisher-loc><![CDATA[Madrid ]]></publisher-loc>
<publisher-name><![CDATA[Ergón S.A]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<given-names><![CDATA[Carías D]]></given-names>
</name>
<name>
<surname><![CDATA[Cioccia]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Gutiérrez]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Hevia]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Indicadores bioquímicos del estado nutricional en adolescentes preuniversitarios de Caracas]]></article-title>
<source><![CDATA[AnVenezNutr]]></source>
<year>2009</year>
<volume>22</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>12-19</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[SouteloJ,]]></surname>
<given-names><![CDATA[Graffigna M]]></given-names>
</name>
<name>
<surname><![CDATA[Honfi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Migliano]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Aranguren]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Proietti]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Musso]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Berg]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Índice triglicéridos/HDL-colesterol: en una población deadolescentes sin factores de riesgo cardiovascular]]></article-title>
<source><![CDATA[ALAN]]></source>
<year>2012</year>
<volume>62</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>167-171</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="book">
<collab>World Health Organization (WHO)</collab>
<source><![CDATA[Prioritizing areas for action in the field of population-based prevention of Childhood Obesity]]></source>
<year>2012</year>
<publisher-name><![CDATA[Geneva]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Souki]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ruíz]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[García]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[MengualE,]]></surname>
<given-names><![CDATA[González C]]></given-names>
</name>
<name>
<surname><![CDATA[Chávez]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[González]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Percentiles de circunferencia de cintura en niños y adolescentes del municipio Maracaibo del Estado Zulia, Venezuela]]></article-title>
<source><![CDATA[AnVenezNutr]]></source>
<year>2011</year>
<volume>24</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>13-20</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Hills]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Du]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Byrne]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Ma]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<source><![CDATA[Waist circumference cut-off values for the prediction of cardiovascular risk factors clustering in Chinese school-aged children: a cross-sectional study]]></source>
<year>2010</year>
<volume>10</volume>
<page-range>82-90</page-range><publisher-name><![CDATA[BMC Public Health]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<given-names><![CDATA[Jung C]]></given-names>
</name>
<name>
<surname><![CDATA[Fischer]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Friztenwanger]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Pernow]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Brehm]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Figulla]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Association of waist circumference, traditional cardiovascular risk factors, and stromal-derivedfactor-1 in adolescents]]></article-title>
<source><![CDATA[Pediatr Diabetes]]></source>
<year>2009</year>
<volume>10</volume>
<page-range>329-335</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vieira]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Galvão]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Medeiros]]></surname>
<given-names><![CDATA[P,Arrais R]]></given-names>
</name>
<name>
<surname><![CDATA[Campos]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Associationbetweendyslipidemiaandanthropometricindicators in adolescents]]></article-title>
<source><![CDATA[NutrHosp]]></source>
<year>2011</year>
<volume>26</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>304-310</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Quijada]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Paoli]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Zerpa]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Camacho]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Cichetti]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Villarroel]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Arata-Bellabarba]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Lanes]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[The triglyceride/HDL-cholesterol ratio as a marker of cardiovascular risk in obese children; association with traditional and emergent risk factors]]></article-title>
<source><![CDATA[Pediatr Diabetes]]></source>
<year>2008</year>
<volume>9</volume>
<page-range>464-471</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gómez]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Romero]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Verdín]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Figueroa]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[López]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Godoy]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Troyo]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Estado de nutrición y perfil de lípidos en adolescents de unaescuela rural]]></article-title>
<source><![CDATA[Rev MexPediatr]]></source>
<year>2013</year>
<volume>80</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>5-9</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ramzan]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Ali]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Ramzan]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Ramzan]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Ramzan]]></surname>
<given-names><![CDATA[MH]]></given-names>
</name>
</person-group>
<source><![CDATA[JPMI]]></source>
<year>2011</year>
<volume>25</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>222-226</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="book">
<source><![CDATA[Anuario de Mortalidad 2011: Gobierno Bolivariano de Venezuela]]></source>
<year>2014</year>
<publisher-loc><![CDATA[Caracas ]]></publisher-loc>
<publisher-name><![CDATA[Ministerio del Poder Popular para la Salud]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Joshi]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Sempos]]></surname>
<given-names><![CDATA[Ch]]></given-names>
</name>
</person-group>
<source><![CDATA[Non-high-density-lipoprotein cholesterol andcardiovascular risk factors among adolescents with and without impaired fasting glucose.]]></source>
<year>2009</year>
<volume>34</volume>
<page-range>136-142</page-range><publisher-name><![CDATA[ApplPhysiolNutrMetab]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ribas]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Santana]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Dyslipidemia in Schoolchildren from Private Schools in Belém]]></article-title>
<source><![CDATA[Arq Bras Cardiol]]></source>
<year>2009</year>
<volume>92</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>412-417</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alayón]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Castro-Orozco]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Gaviria-Esquivia]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Fernández-Franco]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Benítez-Peña]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Factores de riesgo cardiovascular en escolares entre 7 y 14 años en Cartagena, Colombia, 2009.]]></article-title>
<source><![CDATA[Rev. salud pública]]></source>
<year>2011</year>
<volume>13</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>196-206</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<given-names><![CDATA[Stephen R]]></given-names>
</name>
<name>
<surname><![CDATA[Greer]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Lipid Screening and Cardiovascular Health in Childhood]]></article-title>
<source><![CDATA[Pediatrics]]></source>
<year>2008</year>
<volume>122</volume>
<page-range>198-208</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Velásquez]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Barón]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Solano]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Páez]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Llovera]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Portillo]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Perfil lipídico en preescolares venezolanos según nivel socioeconómico]]></article-title>
<source><![CDATA[ALAN]]></source>
<year>2006</year>
<volume>56</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>22-28</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Srinivasan]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Myers]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Berenson]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<source><![CDATA[Distribution and correlates of non-high-density lipoprotein cholesterol in children: The Bogalusa heart study]]></source>
<year></year>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Sempos]]></surname>
<given-names><![CDATA[Ch]]></given-names>
</name>
<name>
<surname><![CDATA[Donahue]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Dorn]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Trevisan]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Grundy]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Joint distribution of non-HDL and LDL cholesterol and coronary heart disease risk prediction among individuals withand without diabetes.]]></article-title>
<source><![CDATA[Diabetes Care]]></source>
<year>2005</year>
<volume>28</volume>
<page-range>1916-1921</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="book">
<collab>World Health Organization</collab>
<source><![CDATA[Technical Report Series N° 854: Physical Status]]></source>
<year>1995</year>
<publisher-name><![CDATA[Geneva]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Onis]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Onyango]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Borghi]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Siyam]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Nishida]]></surname>
<given-names><![CDATA[Ch]]></given-names>
</name>
<name>
<surname><![CDATA[Siekmann]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Development of a WHO growth reference for school-aged children and adolescents]]></article-title>
<source><![CDATA[Bulletin of de World Organization]]></source>
<year>2007</year>
<volume>85</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>649-732</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[McCarthy]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Jarrett]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Crawley]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[The development of waist circumference percentiles in British children aged 50-16.9 y]]></article-title>
<source><![CDATA[Eur J Clin Nutr]]></source>
<year>2001</year>
<volume>55</volume>
<page-range>902-907</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="book">
<collab>National Cholesterol Education Program</collab>
<source><![CDATA[Working group on lipoprotein measurement.]]></source>
<year></year>
<page-range>95-3044</page-range><publisher-name><![CDATA[National Institute of Health. National Heart, Lung and blood InstituteNIH Publication]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="book">
<source><![CDATA[Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in children and adolescents: Full Report]]></source>
<year></year>
<publisher-name><![CDATA[National Institute of HealthNational Heart, Lung, and Blood Institute]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Moura]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Mello]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Mellín]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Bueno]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Perfil lipídico em escolares de Campinas, SP, Brasil]]></article-title>
<source><![CDATA[Rev SaúdePublica]]></source>
<year>2000</year>
<volume>34</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>499-505</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marotta]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Russo]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Ferrara]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<source><![CDATA[Triglyceride-to-HDL-cholesterol Ratioand Metabolic Syndrome as Contributorsto Cardiovascular Risk in Overweight Patients]]></source>
<year>2010</year>
<volume>18</volume>
<page-range>1608-1613</page-range><publisher-name><![CDATA[Obesity]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lamb]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Ogden]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Carrol]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Lacher]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Flegal]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<source><![CDATA[Association of body fact percentage with lipids concentrations in children and adolescents]]></source>
<year>2011</year>
<volume>94</volume>
<page-range>877-883</page-range><publisher-name><![CDATA[Am J Clin Nutr]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Taylor]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Hergenroeder]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Waist circumference predicts increased cardiometabolic risk in normal weight adolescent males]]></article-title>
<source><![CDATA[Int J PediatrObes]]></source>
<year>2011</year>
<volume>6</volume>
<page-range>307-311</page-range></nlm-citation>
</ref>
<ref id="B29">
<label>29</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schröder]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Ribas]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Koebnick]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Funtikova]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Gómez]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Fíto]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Perez-Rodrigo]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Serra-Majem]]></surname>
<given-names><![CDATA[Ll]]></given-names>
</name>
</person-group>
<source><![CDATA[Prevalence of abdominal obesity in Spanish children and adolescents: Do we need waist circumference measurements in pediatricpractice?]]></source>
<year>2014</year>
<volume>9</volume>
<publisher-name><![CDATA[PloSONE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B30">
<label>30</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Herrera]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Beltrán]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ávila]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Waist circumference percentiles in hispanics aged 18 - 102 y]]></article-title>
<source><![CDATA[E SpenEur E J Clin Nutr Metab]]></source>
<year>2011</year>
<volume>6</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>e165-e170</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>31</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<given-names><![CDATA[Bassali R]]></given-names>
</name>
<name>
<surname><![CDATA[Waller]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Gower]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Allison]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Davis]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Utility of waist circumference percentile for risk evaluation in obese children]]></article-title>
<source><![CDATA[Int J PediatrObes]]></source>
<year>2010</year>
<volume>5</volume>
<page-range>97-101</page-range></nlm-citation>
</ref>
<ref id="B32">
<label>32</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Watts]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Bell]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Byrne]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Jones]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Davis]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Waist circumference predicts cardiovascular risk in young Australian children]]></article-title>
<source><![CDATA[J Paediatr Child Health]]></source>
<year>2008</year>
<volume>44</volume>
<page-range>709-715</page-range></nlm-citation>
</ref>
<ref id="B33">
<label>33</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<given-names><![CDATA[Acosta E]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Obesidad, tejidoadiposo y resistencia a la insulina]]></article-title>
<source><![CDATA[Acta BioquimLatinoam]]></source>
<year>2012</year>
<volume>46</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>183-194</page-range></nlm-citation>
</ref>
<ref id="B34">
<label>34</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Irurita]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[López]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Irurita]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Déniz]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[López]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Chirino]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Utilidad del índice aterogénico en la predicción de enfermedad coronaria prematura.]]></article-title>
<source><![CDATA[Clin Invest Arterioscl]]></source>
<year>2007</year>
<volume>19</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>136-42</page-range></nlm-citation>
</ref>
<ref id="B35">
<label>35</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Millán]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Pintó]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Muñoz]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Zúñiga]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Rubiés-Prat]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Pallardo]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Masana]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Mangas]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ascaso]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Botet]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Cocientes lipoproteicos: significado fisiológico y utilidad clínica de los índices aterogénicos en prevención cardiovascular]]></article-title>
<source><![CDATA[Clin Invest Arterioscl]]></source>
<year>2010</year>
<volume>22</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>25-32</page-range></nlm-citation>
</ref>
<ref id="B36">
<label>36</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ley]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Harris]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Connelly]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Mamakeesicks]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Gittelsohn]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Wolever]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Hegele]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Zinman]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Hanley]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Utility of Non-high-density lipoprotein cholesterol in assessing incidenttype 2 diabetes risk]]></article-title>
<source><![CDATA[Diabetes Obes Metab]]></source>
<year>2012</year>
<volume>14</volume>
<page-range>821-825</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
