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El cociente perímetro abdominal/estatura como índice antropométrico de riesgo cardiovascular y de diabetes
The waist to height ratio as an index of cardiovascular risk and diabetes
M.. María del Cristo Rodríguez Péreza, Antonio Cabrera De Leóna,b,
Autor para correspondencia
acableo@gobiernodecanarias.org

Autor para correspondencia.
, Armando Aguirre-Jaimea, Santiago Domínguez Coelloa, Buenaventura Brito Díaza, Delia Almeida Gonzáleza, Carlos Borges Álamoa, J.C.. José Carlos del Castillo Rodrígueza, Lourdes Carrillo Fernándeza, Ana González Hernándeza,c, J.J.. José Juan Alemán Sáncheza
a Unidad de Investigación de Atención Primaria, Hospital Universitario Nuestra Señora de Candelaria, Tenerife, España
b Área de Medicina Preventiva y Salud Pública, Universidad de La Laguna, San Cristóbal de La Laguna, Tenerife, España
c Instituto Canario de Investigación del Cáncer, Islas Canarias, España
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ha adquirido relevancia en los &#250;ltimos a&#241;os por sus ventajas frente al per&#237;metro abdominal&#46; Aunque alg&#250;n trabajo ha detectado mejores resultados cuando utiliza la cintura abdominal en mujeres<a class="elsevierStyleCrossRefs" href="#bib16"><span class="elsevierStyleSup">16&#44;17</span></a> o la RA&#47;P en varones<a class="elsevierStyleCrossRef" href="#bib18"><span class="elsevierStyleSup">18</span></a>&#44; la mayor&#237;a de las publicaciones muestra la superioridad de RA&#47;E como indicador de RCV y de riesgo de diabetes mellitus de tipo 2 &#40;DM2&#41; frente al resto de los &#237;ndices antropom&#233;tricos en diferentes poblaciones<a class="elsevierStyleCrossRefs" href="#bib19"><span class="elsevierStyleSup">19&#8211;30</span></a>&#44; y se encuentran resultados similares en ni&#241;os<a class="elsevierStyleCrossRefs" href="#bib31"><span class="elsevierStyleSup">31&#44;32</span></a>&#46;</p><p class="elsevierStylePara elsevierViewall">Sin embargo&#44; hasta el momento son pocos los estudios que han medido la asociaci&#243;n entre RA&#47;E y RCV en poblaci&#243;n general europea&#44; y no se ha publicado ninguno en poblaci&#243;n espa&#241;ola&#46; De hecho&#44; s&#243;lo hemos encontrado un estudio en poblaci&#243;n general inglesa<a class="elsevierStyleCrossRef" href="#bib33"><span class="elsevierStyleSup">33</span></a> y otro en mujeres polacas<a class="elsevierStyleCrossRef" href="#bib34"><span class="elsevierStyleSup">34</span></a>&#44; el resto son series de pacientes alemanes<a class="elsevierStyleCrossRef" href="#bib35"><span class="elsevierStyleSup">35</span></a>&#44; italianos<a class="elsevierStyleCrossRef" href="#bib36"><span class="elsevierStyleSup">36</span></a> o espa&#241;oles<a class="elsevierStyleCrossRef" href="#bib37"><span class="elsevierStyleSup">37</span></a>&#46; Es&#44; pues&#44; conveniente disponer de nuevas mediciones en comunidades europeas y en poblaci&#243;n general en Espa&#241;a&#46;</p><p class="elsevierStylePara elsevierViewall">El objetivo principal de este estudio es determinar en poblaci&#243;n general espa&#241;ola si la RA&#47;E es el &#237;ndice antropom&#233;trico con mejor capacidad de detecci&#243;n de RCV y de DM2 y cu&#225;l es el punto de corte con el que logra mayor capacidad de detecci&#243;n&#46; Para ello&#44; estudiamos su asociaci&#243;n con el riesgo coronario cuantificado mediante la ecuaci&#243;n de Framingham&#44; la hipertensi&#243;n arterial &#40;HTA&#41;&#44; la hiperlipidemia &#40;HLP&#41;&#44; la DM2&#44; el s&#237;ndrome metab&#243;lico &#40;SM&#41; y la glucemia en ayunas alterada &#40;GAA&#41;&#46;</p></span><span class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Sujetos y m&#233;todos</span><p class="elsevierStylePara elsevierViewall">Estudio transversal realizado en los 6&#46;729 participantes del estudio &#171;CDC de Canarias&#187; para el que se seleccionaron aleatorizadamente a partir de la poblaci&#243;n adulta de las Islas Canarias&#46; La selecci&#243;n se efectu&#243; entre los a&#241;os 2000 y 2005 y la tasa final de participaci&#243;n fue del 70&#37;&#46; La metodolog&#237;a se ha descrito detalladamente con anterioridad<a class="elsevierStyleCrossRef" href="#bib38"><span class="elsevierStyleSup">38</span></a>&#46; Brevemente&#58; enfermeras contratadas exclusivamente para este estudio tras obtener el consentimiento informado de los participantes les realizaban una exploraci&#243;n f&#237;sica y una extracci&#243;n de sangre venosa en ayunas&#46; Las muestras sangu&#237;neas se centrifugaron in situ a temperatura ambiente&#44; a 2&#46;000<span class="elsevierStyleHsp" style=""></span>rpm durante 10<span class="elsevierStyleHsp" style=""></span>min&#44; y se trasladaron diariamente hasta nuestro hospital&#46; Las determinaciones bioqu&#237;micas fueron la glucemia&#44; los triglic&#233;ridos&#44; las fracciones del colesterol y el colesterol total&#44; medidas con el autoanalizador Hitachi<span class="elsevierStyleSup">&#174;</span> 917 dentro de las primeras 24<span class="elsevierStyleHsp" style=""></span>h desde la extracci&#243;n&#46; El estudio cont&#243; con la aprobaci&#243;n del Comit&#233; de &#201;tica del Hospital Universitario Nuestra Se&#241;ora de Candelaria&#46;</p><p class="elsevierStylePara elsevierViewall">En la exploraci&#243;n f&#237;sica el participante deb&#237;a estar descalzo y en ropa ligera para la toma del peso &#40;kg&#41; y la estatura &#40;cm&#41;&#46; Se utiliz&#243; una cinta m&#233;trica inextensible para la medici&#243;n de las &#171;cinturas&#187; abdominal y pelviana con el participante en posici&#243;n erecta y con los pies juntos&#46; Para la cintura abdominal se tom&#243; la medida de la circunferencia equidistante entre la &#250;ltima costilla y la pala il&#237;aca mientras el sujeto respiraba normalmente&#44; t para la cadera la referencia fue la de los troc&#225;nteres mayores de ambos f&#233;mures&#46; Adem&#225;s&#44; se realizaron 2 tomas de presi&#243;n arterial &#40;mmHg&#41; con el participante en sedestaci&#243;n&#44; separadas ambas por un intervalo de 5<span class="elsevierStyleHsp" style=""></span>min y mediante el empleo de un esfingoman&#243;metro de mercurio calibrado previamente&#46;</p><p class="elsevierStylePara elsevierViewall">Se consider&#243; diab&#233;tico a quien declar&#243; presentar DM2 y estar en tratamiento diet&#233;tico o farmacol&#243;gico&#44; adem&#225;s de aquellos que desconoc&#237;an serlo y presentaron glucemia en ayunas mayor de 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#59; en este &#250;ltimo caso se realiz&#243; una segunda determinaci&#243;n de glucemia basal a trav&#233;s de su m&#233;dico de familia para confirmar el diagn&#243;stico&#46; Se acept&#243; que ten&#237;an GAA los participantes no diab&#233;ticos que presentaban cifras de glucemia en ayunas en el rango 100<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; Para el SM se analiz&#243; tanto la definici&#243;n del Programa Nacional de los EE&#46; UU&#46; para Educaci&#243;n sobre Colesterol &#40;ATP III&#41;<a class="elsevierStyleCrossRef" href="#bib39"><span class="elsevierStyleSup">39</span></a> como la de la Federaci&#243;n Internacional de Diabetes &#40;IDF&#41;<a class="elsevierStyleCrossRef" href="#bib40"><span class="elsevierStyleSup">40</span></a>&#46; Se defini&#243; la HTA como cifras de presi&#243;n arterial sist&#243;lica superiores o iguales a 140<span class="elsevierStyleHsp" style=""></span>mmHg o cifras de presi&#243;n arterial diast&#243;lica superiores o iguales a 90<span class="elsevierStyleHsp" style=""></span>mmHg o los que hubieran declarado ser hipertensos y tomaran f&#225;rmacos hipotensores&#46; Se consideraron hiperlipid&#233;micos aquellos sujetos con diagn&#243;stico previo de HLP &#40;colesterol o triglic&#233;ridos elevados&#41; si estaban en tratamiento hipolipidemiante con dieta o f&#225;rmacos&#59; tambi&#233;n se acept&#243; como tales a aquellos individuos que presentaron cifras s&#233;ricas superiores o iguales a 250<span class="elsevierStyleHsp" style=""></span>mg&#47;dl de colesterol total o superiores o iguales a 150<span class="elsevierStyleHsp" style=""></span>mg&#47;dl de triglic&#233;ridos&#46; A partir de la ecuaci&#243;n de Framingham<a class="elsevierStyleCrossRef" href="#bib41"><span class="elsevierStyleSup">41</span></a> calibrada para la poblaci&#243;n canaria<a class="elsevierStyleCrossRef" href="#bib42"><span class="elsevierStyleSup">42</span></a>&#44; se tom&#243; el punto de corte en el valor 12 para estimar riesgo coronario alto &#40;RCA&#41;&#46;</p><p class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">An&#225;lisis estad&#237;stico</span>&#58; las variables cuantitativas normales se resumieron como medias&#177;desviaci&#243;n est&#225;ndar y&#44; cuando no eran normales&#44; se resumieron con la mediana &#40;percentiles 25 y 75&#41;&#46; Las variables cualitativas se presentaron como frecuencias relativas con intervalo de confianza &#40;IC&#41; del 95&#37;&#46; Para la comparaci&#243;n de medias se us&#243; una prueba t para muestras independientes y para comparar proporciones se aplic&#243; el test de la Chi cuadrado de Pearson&#46; El test de Mann-Whitney se emple&#243; en la comparaci&#243;n de variables no normales&#46; Se obtuvieron las &#225;reas bajo las curvas operador-receptor &#40;COR&#41; de tipo <span class="elsevierStyleSmallCaps">ii</span> &#40;estad&#237;stico C&#41; a partir de las estimaciones de sensibilidad y especificidad de los &#237;ndices antropom&#233;tricos respecto a las variables de estado&#58; RCA&#44; HTA&#44; HLP&#44; DM2&#44; SM y GAA&#46;</p><p class="elsevierStylePara elsevierViewall">Los riesgos relativos para estas mismas variables se estimaron mediante la raz&#243;n de ventajas &#40;<span class="elsevierStyleItalic">odds ratio</span>&#41; de exposici&#243;n a los factores&#58; IMC superior a 30<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#44; cintura abdominal de riesgo seg&#250;n el ATP III &#40;&#62;<span class="elsevierStyleHsp" style=""></span>88<span class="elsevierStyleHsp" style=""></span>cm en mujeres y 102<span class="elsevierStyleHsp" style=""></span>cm en hombres&#41; o seg&#250;n la IDF &#40;&#62;<span class="elsevierStyleHsp" style=""></span>80<span class="elsevierStyleHsp" style=""></span>cm en mujeres y 94<span class="elsevierStyleHsp" style=""></span>cm en hombres&#41;&#44; RA&#47;P mayor a 1 en los varones y 0&#44;9 en las mujeres y RA&#47;E de riesgo una vez determinado su punto de corte &#243;ptimo&#46; Para cada factor se realiz&#243; un an&#225;lisis de tendencia de las razones de ventaja de los &#237;ndices&#46; Los datos se procesaron utilizando el paquete estad&#237;stico SPSS versi&#243;n 15&#46;0&#46;</p></span><span class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Resultados</span><p class="elsevierStylePara elsevierViewall">En la <a class="elsevierStyleCrossRef" href="#tbl1">tabla 1</a> se presentan las caracter&#237;sticas de la poblaci&#243;n estudiada&#46; El IMC no present&#243; diferencias entre sexos&#44; como tampoco las hubo para la edad&#44; la cintura p&#233;lvica o el SM con criterios del ATP III&#46; El resto de los indicadores antropom&#233;tricos y los dem&#225;s factores de RCV alcanzaron valores significativamente mayores en los varones que en las mujeres&#46;</p><elsevierMultimedia ident="tbl1"></elsevierMultimedia><p class="elsevierStylePara elsevierViewall">Las &#225;reas bajo COR de los &#237;ndices antropom&#233;tricos respecto a los factores de RCV se resumen en la <a class="elsevierStyleCrossRef" href="#tbl2">tabla 2</a>&#46; Con la excepci&#243;n del SM en los varones&#44; la RA&#47;E produjo la mayor &#225;rea para todos los factores de riesgo &#40;<a class="elsevierStyleCrossRef" href="#tbl2">tabla 2</a>&#41;&#46; El punto de corte &#243;ptimo para la RA&#47;E&#44; entendido como aquel que alcanzaba el mejor equilibrio de sensibilidad y especificidad&#44; result&#243; ser 0&#44;55&#46; Con &#233;l&#44; ambos par&#225;metros &#40;sensibilidad y especificidad&#41; fueron&#44; respectivamente&#44; 0&#44;87 y 0&#44;55 para el RCA&#59; 0&#44;76 y 0&#44;65 para la HTA&#59; 0&#44;68 y 0&#44;63 para la HLP&#59; 0&#44;82 y 0&#44;54 para la DM2&#59; 0&#44;91 y 0&#44;64 para el SM con criterios del ATP&#59; 0&#44;91 y 0&#44;70 para el SM con criterios del IDF&#44; y 0&#44;74 y 0&#44;56 para la GAA&#46;</p><elsevierMultimedia ident="tbl2"></elsevierMultimedia><p class="elsevierStylePara elsevierViewall">Se calcul&#243; tambi&#233;n el valor medio de la RA&#47;E para las situaciones de RCV definidas por los factores estudiados &#40;<a class="elsevierStyleCrossRef" href="#tbl3">tabla 3</a>&#41;&#46; Los resultados mostraron que en las diferentes categor&#237;as de riesgo este &#237;ndice presentaba&#44; tanto en mujeres como en hombres&#44; valores superiores al punto de corte que se hab&#237;a elegido como &#243;ptimo&#46;</p><elsevierMultimedia ident="tbl3"></elsevierMultimedia><p class="elsevierStylePara elsevierViewall">En la <a class="elsevierStyleCrossRef" href="#tbl4">tabla 4</a> se muestra la raz&#243;n de ventaja de los diferentes &#237;ndices respecto a los factores de RCV considerados&#46; En todos ellos&#44; la fuerza de asociaci&#243;n de la RA&#47;E fue la mayor y el an&#225;lisis de tendencia fue significativo en todos&#44; salvo en la HTA &#40;<a class="elsevierStyleCrossRef" href="#tbl4">tabla 4</a>&#41;&#46;</p><elsevierMultimedia ident="tbl4"></elsevierMultimedia></span><span class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Discusi&#243;n</span><p class="elsevierStylePara elsevierViewall">En nuestro conocimiento&#44; este es el primer estudio de la asociaci&#243;n entre RA&#47;E&#44; DM2 y RCV en una muestra amplia de poblaci&#243;n adulta espa&#241;ola&#46; Tanto las &#225;reas bajo la COR como la fuerza de su asociaci&#243;n con RCA&#44; HTA&#44; HLP&#44; DM2&#44; GAA y SM en mujeres muestran que la RA&#47;E alcanza mejores resultados que los dem&#225;s &#237;ndices antropom&#233;tricos para detectar el RCV y la DM2&#46; Aunque la diferencia con la cintura abdominal no es siempre relevante&#44; la tendencia a que la RA&#47;E presente mayores valores de &#225;rea y de raz&#243;n de ventajas es inequ&#237;voca&#46; La excepci&#243;n puntual a favor de la cintura abdominal en el &#225;rea COR del SM de los varones es atribuible a que aquella es criterio incluido en la propia definici&#243;n de SM&#46;</p><p class="elsevierStylePara elsevierViewall">La notable capacidad de la RA&#47;E puede explicarse por las caracter&#237;sticas de los par&#225;metros que lo componen&#58; la cintura abdominal como factor de RCV y metab&#243;lico<a class="elsevierStyleCrossRefs" href="#bib9"><span class="elsevierStyleSup">9&#44;10</span></a> da importancia a la distribuci&#243;n de la grasa frente a la masa corporal estimada por el IMC&#44; pero presenta como desventaja la variaci&#243;n en sus valores&#44; seg&#250;n sexo&#44; edad y complexi&#243;n<a class="elsevierStyleCrossRefs" href="#bib43"><span class="elsevierStyleSup">43&#44;44</span></a>&#59; esto queda atenuado con la correcci&#243;n que introduce la estatura&#44; y logra que la RA&#47;E sea un &#237;ndice m&#225;s estable que la simple medici&#243;n de la cintura&#46; De no hacerse esta correcci&#243;n&#44; se sobrestima el riesgo en individuos altos y se subestima en los de baja estatura<a class="elsevierStyleCrossRef" href="#bib45"><span class="elsevierStyleSup">45</span></a>&#46; Es m&#225;s&#44; la estatura alta se considera un factor protector frente a la DM2 y las enfermedades coronarias y cerebrovasculares<a class="elsevierStyleCrossRefs" href="#bib46"><span class="elsevierStyleSup">46&#8211;48</span></a>&#46; Hasta hoy no hay una explicaci&#243;n concluyente sobre las razones de esta protecci&#243;n&#44; aunque algunos estudios han encontrado asociaci&#243;n entre estatura baja y factores de RCV&#44; como desfavorable perfil hemodin&#225;mico<a class="elsevierStyleCrossRefs" href="#bib49"><span class="elsevierStyleSup">49&#44;50</span></a>&#44; mayor probabilidad de pertenencia a clases sociales bajas y deficiencias en la hormona del crecimiento<a class="elsevierStyleCrossRefs" href="#bib51"><span class="elsevierStyleSup">51&#44;52</span></a>&#46;</p><p class="elsevierStylePara elsevierViewall">El punto de corte que hemos obtenido para la RA&#47;E &#40;0&#44;55 en ambos sexos&#41; es similar al medido en pacientes germ&#225;nicos<a class="elsevierStyleCrossRef" href="#bib35"><span class="elsevierStyleSup">35</span></a> y al propuesto para la poblaci&#243;n brit&#225;nica<a class="elsevierStyleCrossRef" href="#bib33"><span class="elsevierStyleSup">33</span></a>&#46; Aunque se ha indicado el uso de valores de RA&#47;E inferiores<a class="elsevierStyleCrossRefs" href="#bib20"><span class="elsevierStyleSup">20&#44;21</span></a>&#44; en poblaciones occidentales esto supondr&#237;a una p&#233;rdida de especificidad&#46; Ello ser&#237;a as&#237; tambi&#233;n en la poblaci&#243;n canaria&#44; que es cauc&#225;sica<a class="elsevierStyleCrossRef" href="#bib53"><span class="elsevierStyleSup">53</span></a> y presenta una elevada prevalencia de sobrepeso&#44; obesidad&#44; DM2&#44; SM y RCV<a class="elsevierStyleCrossRefs" href="#bib38"><span class="elsevierStyleSup">38&#44;42</span></a>&#46; No es f&#225;cil hallar poblaciones generales con mayor prevalencia de obesidad&#44; lo que&#44; lejos de ser una limitaci&#243;n&#44; hace que este art&#237;culo corrobore el punto de corte para poblaciones obesas&#46; Poblaciones brasile&#241;as<a class="elsevierStyleCrossRef" href="#bib24"><span class="elsevierStyleSup">24</span></a>&#44; mexicanas<a class="elsevierStyleCrossRef" href="#bib25"><span class="elsevierStyleSup">25</span></a>&#44; iran&#237;es<a class="elsevierStyleCrossRef" href="#bib26"><span class="elsevierStyleSup">26</span></a> e iraqu&#237;es<a class="elsevierStyleCrossRef" href="#bib27"><span class="elsevierStyleSup">27</span></a> presentan valores m&#225;s cercanos a los cauc&#225;sicos que a los asi&#225;ticos orientales&#46; Pero en la RA&#47;E las variaciones inter&#233;tnicas son peque&#241;as y hay acuerdo en que&#44; con independencia de sexo y etnia y desde la infancia hasta la adultez&#44; el mensaje cl&#237;nico para el paciente es claro&#58; &#171;la cintura abdominal no debe superar la mitad de la estatura&#187;<a class="elsevierStyleCrossRef" href="#bib54"><span class="elsevierStyleSup">54</span></a>&#46; Por tanto&#44; su mayor sensibilidad y fuerza de asociaci&#243;n con DM2 y RCV&#44; su facilidad de c&#225;lculo y el uso de un solo valor universal confieren algunas ventajas al uso cl&#237;nico de la RA&#47;E&#46;</p><p class="elsevierStylePara elsevierViewall">Nuestros resultados muestran que el valor 0&#44;55 incluye a los sujetos con IMC superior o igual a 25<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#44; o sea&#44; contiene el sobrepeso y marca el incremento de RCV atribuible al aumento de adiposidad&#44; incluso antes de que el IMC lo clasifique como obesidad&#46; Es m&#225;s&#44; el valor 0&#44;55 es mayor que el l&#237;mite superior del IC de la RA&#47;E para los individuos sin GAA o sin riesgo coronario o sin cualquier otro de los factores de RCV estudiados&#46; &#218;nicamente los varones sin DM2 incluyen en su intervalo este valor&#44; pero ello no le resta validez a este&#44; precisamente nuestro grupo elabor&#243; anteriormente un marcador cl&#237;nico para cribado de DM2 que est&#225; basado en la medici&#243;n de RA&#47;E<a class="elsevierStyleCrossRef" href="#bib55"><span class="elsevierStyleSup">55</span></a>&#46;</p><p class="elsevierStylePara elsevierViewall">Son varios los art&#237;culos previos que han encontrado en la RA&#47;E la mejor medici&#243;n antropom&#233;trica para el riesgo de coronariopat&#237;a<a class="elsevierStyleCrossRefs" href="#bib12"><span class="elsevierStyleSup">12&#44;23</span></a>&#44; de SM<a class="elsevierStyleCrossRefs" href="#bib18"><span class="elsevierStyleSup">18&#44;19</span></a>&#44; de DM2&#44; de HTA o de HLP o para el RCV en general<a class="elsevierStyleCrossRefs" href="#bib20"><span class="elsevierStyleSup">20&#8211;24</span></a>&#46; De los trabajos publicados en Espa&#241;a&#44; hay uno realizado en 399 pacientes que encontr&#243; en la RA&#47;E al mejor determinante de SM<a class="elsevierStyleCrossRef" href="#bib37"><span class="elsevierStyleSup">37</span></a>&#46; Hay otro trabajo que detect&#243; la asociaci&#243;n de la RA&#47;E con un perfil lip&#237;dico de riesgo en ni&#241;as adolescentes<a class="elsevierStyleCrossRef" href="#bib56"><span class="elsevierStyleSup">56</span></a>&#46; Nuestros resultados en poblaci&#243;n general adulta concuerdan con ellos&#44; y conviene resaltar que una fortaleza a&#241;adida es la selecci&#243;n de esta poblaci&#243;n mediante muestreo aleatorizado&#44; lo que aporta un inusual valor de representatividad&#46; No obstante&#44; es importante que en el futuro se confirme esta capacidad de predicci&#243;n en estudios de cohortes&#46; En esto radica probablemente la principal limitaci&#243;n de nuestro estudio&#44; es decir&#44; nos faltan a&#250;n datos de seguimiento de cohortes espa&#241;olas&#59; las escasas poblaciones cauc&#225;sicas en que se ha seguido una cohorte encuentran en la RA&#47;E su mejor predictor de RCV<a class="elsevierStyleCrossRef" href="#bib57"><span class="elsevierStyleSup">57</span></a>&#46; La limitaci&#243;n del dise&#241;o transversal hace imposible descartar que las COR pudieran subestimar valores en los participantes que tuvieron en el pasado una RA&#47;E mayor que la actual o sobrestimar los valores de quienes tuvieron una RA&#47;E menor que la presentada en el momento de seleccionarse&#46;</p><p class="elsevierStylePara elsevierViewall">En conclusi&#243;n&#44; en una muestra amplia de poblaci&#243;n general espa&#241;ola&#44; la RA&#47;E presenta mayor capacidad de detecci&#243;n de RCV y DM2 que el IMC&#44; la cintura abdominal y la RA&#47;P&#46; Su valor 0&#44;55 es el punto de corte&#44; com&#250;n para ambos sexos&#44; a partir del que se inicia el RCV&#46;</p></span></span>"
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        "resumen" => "<span class="elsevierStyleSectionTitle">Fundamento y objetivos</span><p class="elsevierStyleSimplePara elsevierViewall">Identificar el &#237;ndice antropom&#233;trico que mejor detecta riesgo cardiovascular &#40;RCV&#41; y diabetes mellitus de tipo 2 &#40;DM2&#41; en poblaci&#243;n adulta espa&#241;ola y cu&#225;l es su punto de corte ideal&#46;</p> <span class="elsevierStyleSectionTitle">Sujetos y m&#233;todos</span><p class="elsevierStyleSimplePara elsevierViewall">Estudio transversal en poblaci&#243;n general &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>6&#46;729&#41;&#46; Se estim&#243; sensibilidad y especificidad de varios &#237;ndices antropom&#233;tricos&#58; cintura abdominal&#44; &#237;ndice de masa corporal&#44; ratio abdomen&#47;pelvis y ratio abdomen&#47;estatura &#40;RA&#47;E&#41;&#46; Se obtuvieron sus &#225;reas bajo la curva operador-receptor con respecto a los siguientes factores de RCV&#58; riesgo coronario alto estimado seg&#250;n la ecuaci&#243;n de Framingham&#44; hipertensi&#243;n arterial&#44; hiperlipidemia&#44; DM2&#44; s&#237;ndrome metab&#243;lico &#40;SM&#41; y glucemia en ayunas alterada &#40;GAA&#41;&#46; Para estimar los riesgos relativos&#44; calculamos la raz&#243;n de ventajas con intervalo de confianza &#40;IC&#41; del 95&#37;&#46;</p> <span class="elsevierStyleSectionTitle">Resultados</span><p class="elsevierStyleSimplePara elsevierViewall">La RA&#47;E produjo la mayor &#225;rea de los 4 &#237;ndices en DM2 y dem&#225;s factores de RCV&#44; que oscil&#243; entre 0&#44;65 para GAA en varones &#40;IC del 95&#37;&#58; 0&#44;63<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>0&#44;68&#41; y 0&#44;87 para SM en mujeres &#40;IC del 95&#37;&#58; 0&#44;86<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>0&#44;89&#41;&#46; La RA&#47;E alcanz&#243; la m&#225;xima sensibilidad &#40;0&#44;91&#41; y especificidad &#40;0&#44;70&#41; en el SM&#44; y su punto de corte &#243;ptimo fue 0&#44;55&#59; con &#233;l&#44; los riesgos estimados por la RA&#47;E fueron tambi&#233;n mayores que con los dem&#225;s &#237;ndices&#44; y variaron desde 2&#44;30 para GAA &#40;IC del 95&#37;&#58; 1&#44;96<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>2&#44;70&#41; hasta 16&#44;20 para SM &#40;IC del 95&#37;&#58; 13&#44;68<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>19&#44;20&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Conclusiones</span><p class="elsevierStyleSimplePara elsevierViewall">La RA&#47;E es el &#237;ndice con mejor capacidad de detecci&#243;n de DM2 y dem&#225;s factores de RCV en esta poblaci&#243;n&#44; y es el que mayor fuerza alcanza en su asociaci&#243;n con ellos&#46; De su punto de corte &#40;0&#44;55&#41; se deduce que conviene evitar que la cintura abdominal supere la mitad de la estatura&#46;</p>"
      ]
      "en" => array:2 [
        "titulo" => "Abstract"
        "resumen" => "<span class="elsevierStyleSectionTitle">Background and objectives</span><p class="elsevierStyleSimplePara elsevierViewall">To identify the anthropometric index that best detects cardiovascular risk &#40;CVR&#41; and type 2 diabetes &#40;DM2&#41; in the adult Spanish population and to determine its cut-off point&#46;</p> <span class="elsevierStyleSectionTitle">Subjects and methods</span><p class="elsevierStyleSimplePara elsevierViewall">Cross-sectional study in the general population &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>6279&#41;&#46; Sensitivity and specificity were estimated for the anthropometric indexes&#58; abdominal waist&#44; body mass index&#44; waist to hip ratio and waist to height ratio &#40;WtHR&#41;&#46; The areas of these indexes under ROC curve &#40;AUC&#41; were obtained for the following CVR factors&#58; high coronary risk computed with Framingham model&#44; Hypertension&#44; Hyperlipemia&#44; DM2&#44; Metabolic Syndrome &#40;MS&#41; and Impaired Fasting Glucose &#40;IFG&#41;&#46; The odds ratio&#44; with 95&#37; confidence interval &#40;CI<span class="elsevierStyleInf">95&#37;</span>&#41;&#44; was calculated&#46;</p> <span class="elsevierStyleSectionTitle">Results</span><p class="elsevierStyleSimplePara elsevierViewall">WtHR was the index showing the highest AUC for DM2 and the remaining CVR factors&#44; varying between 0&#46;65 &#40;CI<span class="elsevierStyleInf">95&#37;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;63<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>0&#46;68&#41; for IFG in men and 0&#46;87 &#40;CI<span class="elsevierStyleInf">95&#37;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;86<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>0&#46;89&#41; for MS in women&#46; RA&#47;E reached the maximum sensitivity &#40;0&#46;91&#41; and specificity &#40;0&#46;70&#41; in SM and its optimal cut-off point was 0&#46;55&#44; which displayed the highest risks amongst indexes&#44; varying from 2&#46;30 &#40;1&#46;96<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>2&#46;70&#41; in IFG to 16&#8217;20 &#40;13&#46;68<span class="elsevierStyleHsp" style=""></span>&#8211;<span class="elsevierStyleHsp" style=""></span>19&#46;20&#41; in MS&#46;</p> <span class="elsevierStyleSectionTitle">Conclusions</span><p class="elsevierStyleSimplePara elsevierViewall">RA&#47;E is the index presenting the best ability to detect DM2 and CVR in this population&#44; and it shows the stronger association with them&#46; Its cut-off point&#44; 0&#46;55&#44; confirms the convenience of keeping the abdominal waist to less than half the height&#46;</p>"
      ]
    ]
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        "etiqueta" => "Tabla 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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        "tabla" => array:3 [
          "leyenda" => "<p class="elsevierStyleSimplePara elsevierViewall">ATP&#58; panel de tratamiento de adultos&#59; DE&#58; desviaci&#243;n est&#225;ndar&#59; GAA&#58; glucemia en ayunas alterada&#59; IC&#58; intervalo de confianza&#59; IDF&#58; Federaci&#243;n Internacional de Diabetes&#59; IMC&#58; &#237;ndice de masa corporal&#59; RA&#47;E&#58; ratio abdomen&#47;estatura&#59; RA&#47;P&#58; ratio abdomen&#47;pelvis&#46;</p>"
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                  \t\t\t\t">Estatura&#44; cm<a class="elsevierStyleCrossRef" href="#tblfn1a"><span class="elsevierStyleSup">¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">172&#44;1 &#40;7&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">RA&#47;E&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">Peso&#44; kg<a class="elsevierStyleCrossRef" href="#tblfn1a"><span class="elsevierStyleSup">¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">IMC&#44; kg&#47;m<span class="elsevierStyleSup">2</span><a class="elsevierStyleCrossRef" href="#tblfn1a"><span class="elsevierStyleSup">¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">Cintura p&#233;lvica&#44; cm<a class="elsevierStyleCrossRef" href="#tblfn1a"><span class="elsevierStyleSup">¿</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">101&#44;8 &#40;12&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;860&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">RA&#47;P<a class="elsevierStyleCrossRef" href="#tblfn1a"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;93 &#40;0&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;85 &#40;0&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">Diabetes mellitus de tipo 2<a class="elsevierStyleCrossRef" href="#tblfn1b"><span class="elsevierStyleSup">¿¿</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">11&#44;8 &#40;10&#44;6&#8211;13&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#44;7 &#40;8&#44;5&#8211;10&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GAA<a class="elsevierStyleCrossRef" href="#tblfn1b"><span class="elsevierStyleSup">¿¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#44;4 &#40;20&#44;9&#8211;23&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#44;9 &#40;10&#44;4&#8211;13&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">Hipertensi&#243;n arterial<a class="elsevierStyleCrossRef" href="#tblfn1b"><span class="elsevierStyleSup">¿¿</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hiperlipidemia<a class="elsevierStyleCrossRef" href="#tblfn1b"><span class="elsevierStyleSup">¿¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&#44;1 &#40;35&#44;6&#8211;37&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Riesgo coronario<a class="elsevierStyleCrossRef" href="#tblfn1c"><span class="elsevierStyleSup">¿¿¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Riesgo coronario &#8805;<span class="elsevierStyleHsp" style=""></span>12<a class="elsevierStyleCrossRef" href="#tblfn1b"><span class="elsevierStyleSup">¿¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#44;4 &#40;6&#44;6&#8211;8&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico con criterios de la IDF<a class="elsevierStyleCrossRef" href="#tblfn1b"><span class="elsevierStyleSup">¿¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33&#44;0 &#40;31&#44;3&#8211;34&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&#44;9 &#40;28&#44;4&#8211;31&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico con criterios del ATP<a class="elsevierStyleCrossRef" href="#tblfn1b"><span class="elsevierStyleSup">¿¿</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">24&#44;3 &#40;22&#44;6&#8211;26&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">24&#44;2 &#40;22&#44;8&#8211;25&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;927&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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                  \t\t\t\t\tvoid\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Cintura abdominal</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">RA&#47;P</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">RA&#47;E</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
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                  \t\t\t\t">Diabetes mellitus de tipo 2</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">V&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;67 &#40;0&#44;64&#8211;0&#44;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">0&#44;69 &#40;0&#44;66&#8211;0&#44;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;72<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">a</span></a> &#40;0&#44;69&#8211;0&#44;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;72<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;69&#8211;0&#44;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">M&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;70 &#40;0&#44;68&#8211;0&#44;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;73 &#40;0&#44;71&#8211;0&#44;76&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;69 &#40;0&#44;67&#8211;0&#44;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;75<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;72&#8211;0&#44;77&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GAA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">V&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;63 &#40;0&#44;61&#8211;0&#44;65&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;64 &#40;0&#44;62&#8211;0&#44;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;62 &#40;0&#44;60&#8211;0&#44;64&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;65<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;63&#8211;0&#44;68&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">M&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;71 &#40;0&#44;69&#8211;0&#44;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;70 &#40;0&#44;68&#8211;0&#44;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;68 &#40;0&#44;66&#8211;0&#44;71&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;72 &#40;0&#44;70&#8211;0&#44;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertensi&#243;n arterial</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">V&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;71 &#40;0&#44;69&#8211;0&#44;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;72 &#40;0&#44;70&#8211;0&#44;74&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;69 &#40;0&#44;67&#8211;0&#44;71&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;74<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;72&#8211;0&#44;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">M&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;77 &#40;0&#44;76&#8211;0&#44;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;78 &#40;0&#44;77&#8211;0&#44;80&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;71 &#40;0&#44;69&#8211;0&#44;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;80<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;79&#8211;0&#44;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hiperlipidemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">V&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;67 &#40;0&#44;65&#8211;0&#44;69&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;67 &#40;0&#44;65&#8211;0&#44;69&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;66 &#40;0&#44;64&#8211;0&#44;68&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;69<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;67&#8211;0&#44;71&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">M&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;68 &#40;0&#44;66&#8211;0&#44;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;70 &#40;0&#44;69&#8211;0&#44;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;67 &#40;0&#44;66&#8211;0&#44;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;71<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;69&#8211;0&#44;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Riesgo coronario &#8805;<span class="elsevierStyleHsp" style=""></span>12</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">V&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;66 &#40;0&#44;63&#8211;0&#44;69&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;70 &#40;0&#44;67&#8211;0&#44;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;74 &#40;0&#44;72&#8211;0&#44;76&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;75<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;72&#8211;0&#44;77&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">M&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;75 &#40;0&#44;72&#8211;0&#44;77&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;79 &#40;0&#44;77&#8211;0&#44;81&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;75 &#40;0&#44;72&#8211;0&#44;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;81<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;79&#8211;0&#44;83&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico con criterios de la IDF</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">V&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;85 &#40;0&#44;83&#8211;0&#44;86&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No aplicable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;78 &#40;0&#44;76&#8211;0&#44;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;88<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;87&#8211;0&#44;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">M&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;82 &#40;0&#44;81&#8211;0&#44;84&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No aplicable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;77 &#40;0&#44;76&#8211;0&#44;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;86<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;85&#8211;0&#44;87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico con criterios del ATP</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">V&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;82 &#40;0&#44;80&#8211;0&#44;84&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;84<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;83&#8211;0&#44;86&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;75 &#40;0&#44;73&#8211;0&#44;77&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;84 &#40;0&#44;82&#8211;0&#44;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">M&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;84 &#40;0&#44;82&#8211;0&#44;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;87 &#40;0&#44;86&#8211;0&#44;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;77 &#40;0&#44;76&#8211;0&#44;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;87<a class="elsevierStyleCrossRef" href="#tblfn2a"><span class="elsevierStyleSup">¿</span></a> &#40;0&#44;86&#8211;0&#44;89&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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              "etiqueta" => "¿"
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          "es" => "<p class="elsevierStyleSimplePara elsevierViewall">&#193;reas bajo la curva &#40;intervalo de confianza del 95&#37;&#41; de los &#237;ndices antropom&#233;tricos respecto a cada factor de riesgo cardiovascular en varones y mujeres</p>"
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          "leyenda" => "<p class="elsevierStyleSimplePara elsevierViewall">ATP&#58; panel de tratamiento de adultos&#59; GAA&#58; glucemia en ayunas alterada&#59; IC&#58; intervalo de confianza&#59; IDF&#58; Federaci&#243;n Internacional de Diabetes&#59; IMC&#58; &#237;ndice de masa corporal&#59; RA&#47;P&#58; ratio abdomen&#47;pelvis&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="3" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Hombres &#40;n&#61;2&#46;913&#41;</span></td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="3" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Mujeres &#40;n&#61;3&#46;816&#41;</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Categor&#237;a&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Media &#40;IC del 95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Categor&#237;a&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Media &#40;IC del 95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diabetes mellitus de tipo 2</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#44;84 &#40;54&#44;55&#8211;55&#44;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;46 &#40;53&#44;01&#8211;53&#44;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;14 &#40;59&#44;39&#8211;60&#44;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&#44;93 &#40;60&#44;95&#8211;62&#44;91&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GAA</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#44;60 &#40;54&#44;29&#8211;54&#44;91&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;40 &#40;52&#44;95&#8211;53&#44;86&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#44;38 &#40;57&#44;82&#8211;58&#44;94&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;58 &#40;59&#44;73&#8211;61&#44;43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertensi&#243;n arterial</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;13 &#40;52&#44;80&#8211;53&#44;46&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#44;21 &#40;50&#44;68&#8211;51&#44;74&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59&#44;02 &#40;58&#44;61&#8211;59&#44;44&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;99 &#40;60&#44;50&#8211;61&#44;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hiperlipidemia</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;40 &#40;53&#44;04&#8211;53&#44;77&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#44;14 &#40;51&#44;59&#8211;52&#44;68&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">57&#44;91 &#40;57&#44;53&#8211;58&#44;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#44;12 &#40;57&#44;53&#8211;58&#44;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Riesgo coronario</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#44;49 &#40;54&#44;20&#8211;54&#44;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;49 &#40;53&#44;04&#8211;53&#44;92&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8805;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;62 &#40;59&#44;93&#8211;61&#44;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8805;<span class="elsevierStyleHsp" style=""></span>12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">63&#44;91 &#40;63&#44;02&#8211;64&#44;80&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico con criterios de la IDF</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#44;44 &#40;52&#44;13&#8211;52&#44;74&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">50&#44;72 &#40;50&#44;20&#8211;51&#44;23&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&#44;52 &#40;61&#44;19&#8211;61&#44;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">62&#44;42 &#40;61&#44;96&#8211;62&#44;87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico con criterios del ATP</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">53&#44;48 &#40;53&#44;19&#8211;53&#44;77&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">51&#44;30 &#40;50&#44;81&#8211;51&#44;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&#44;58 &#40;61&#44;10&#8211;62&#44;06&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">63&#44;49 &#40;62&#44;99&#8211;63&#44;98&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IMC&#44; kg&#47;m<span class="elsevierStyleSup">2</span></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#8211;24&#44;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&#44;39 &#40;48&#44;07&#8211;48&#44;71&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#8211;24&#44;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46&#44;12 &#40;45&#44;74&#8211;46&#44;49&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#8211;29&#44;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&#44;34 &#40;55&#44;07&#8211;55&#44;62&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">25&#8211;29&#44;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#44;76 &#40;54&#44;34&#8211;55&#44;17&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8805;<span class="elsevierStyleHsp" style=""></span>30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">63&#44;44 &#40;63&#44;05&#8211;63&#44;84&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8805;<span class="elsevierStyleHsp" style=""></span>30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">64&#44;70 &#40;63&#44;73&#8211;65&#44;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Abdomen con criterios de la IDF&#44; cm</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;94&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">49&#44;71 &#40;49&#44;41&#8211;50&#44;02&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;80&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45&#44;35 &#40;44&#44;57&#8211;46&#44;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">60&#44;58 &#40;60&#44;33&#8211;60&#44;83&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8805;<span class="elsevierStyleHsp" style=""></span>80&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59&#44;04 &#40;58&#44;66&#8211;59&#44;41&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">RA&#47;P</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;99 &#40;53&#44;70&#8211;54&#44;27&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#44;09 &#40;51&#44;61&#8211;52&#44;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#8805;<span class="elsevierStyleHsp" style=""></span>1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&#44;91 &#40;61&#44;33&#8211;62&#44;49&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8805;<span class="elsevierStyleHsp" style=""></span>0&#44;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;48 &#40;59&#44;75&#8211;61&#44;21&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab190663.png"
              ]
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          ]
          "notaPie" => array:1 [
            0 => array:3 [
              "identificador" => "tblfn3a"
              "etiqueta" => "¿"
              "nota" => "<p class="elsevierStyleNotepara">Los valores se presentan multiplicados por 100&#46;</p>"
            ]
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        "descripcion" => array:1 [
          "es" => "<p class="elsevierStyleSimplePara elsevierViewall">Distribuci&#243;n de la ratio abdomen&#47;estatura<a class="elsevierStyleCrossRef" href="#tblfn3a"><span class="elsevierStyleSup">¿</span></a> en cada categor&#237;a de los factores de riesgo cardiovascular</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "tbl4"
        "etiqueta" => "Tabla 4"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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        "tabla" => array:3 [
          "leyenda" => "<p class="elsevierStyleSimplePara elsevierViewall">ATP&#58; panel de tratamiento de adultos&#59; GAA&#58; glucemia en ayunas alterada&#59; IDF&#58; Federaci&#243;n Internacional de Diabetes&#59; IMC&#58; &#237;ndice de masa corporal&#59; RA&#47;E&#58; ratio abdomen&#47;estatura&#59; RA&#47;P&#58; ratio abdomen&#47;pelvis&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">IMC &#8805;<span class="elsevierStyleHsp" style=""></span>30 kg&#47;m<span class="elsevierStyleSup">2</span></span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Cintura abdominal IDF</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">RA&#47;P</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">RA&#47;E &#8805;<span class="elsevierStyleHsp" style=""></span>0&#44;55</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">p para la tendencia</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diabetes mellitus de tipo 2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;07 &#40;1&#44;75&#8211;2&#44;45&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;42 &#40;1&#44;93&#8211;3&#44;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;88 &#40;1&#44;57&#8211;2&#44;24&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;71 &#40;2&#44;19&#8211;3&#44;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GAA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;89 &#40;1&#44;61&#8211;2&#44;14&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;25 &#40;1&#44;90&#8211;2&#44;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;44 &#40;1&#44;24&#8211;1&#44;69&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;30<a class="elsevierStyleCrossRef" href="#tblfn4a"><span class="elsevierStyleSup">¿</span></a> &#40;1&#44;96&#8211;2&#44; 70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;046&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertensi&#243;n arterial&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;28 &#40;2&#44;89&#8211;3&#44;71&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;03 &#40;2&#44;65&#8211;3&#44;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;98 &#40;1&#44;73&#8211;2&#44;26&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;29<a class="elsevierStyleCrossRef" href="#tblfn4a"><span class="elsevierStyleSup">¿</span></a> &#40;2&#44;90&#8211;3&#44;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;132&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hiperlipidemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;02 &#40;1&#44;80&#8211;2&#44;28&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;32 &#40;2&#44;06&#8211;2&#44;62&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;64 &#40;1&#44;44&#8211;1&#44;86&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;37<a class="elsevierStyleCrossRef" href="#tblfn4a"><span class="elsevierStyleSup">¿</span></a> &#40;2&#44;11&#8211;2&#44;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;043&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Riesgo coronario &#8805;<span class="elsevierStyleHsp" style=""></span>12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;07 &#40;1&#44;71&#8211;2&#44;19&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;32 &#40;1&#44;80&#8211;2&#44;99&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;80 &#40;1&#44;49&#8211;2&#44;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;63<a class="elsevierStyleCrossRef" href="#tblfn4a"><span class="elsevierStyleSup">¿</span></a> &#40;2&#44;05&#8211;3&#44;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico con criterios de la IDF&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#44;12 &#40;5&#44;39&#8211;6&#44;95&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No aplicable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;95 &#40;2&#44;58&#8211;3&#44;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#44;20<a class="elsevierStyleCrossRef" href="#tblfn4a"><span class="elsevierStyleSup">¿</span></a> &#40;13&#44;68&#8211;19&#44;20&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico con criterios del ATP&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#44;68 &#40;5&#44;86&#8211;7&#44;62&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#44;54 &#40;11&#44;29&#8211;14&#44;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;10 &#40;2&#44;71&#8211;3&#44;54&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#44;65<a class="elsevierStyleCrossRef" href="#tblfn4a"><span class="elsevierStyleSup">¿</span></a> &#40;11&#44;27&#8211;16&#8211;54&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab190662.png"
              ]
            ]
          ]
          "notaPie" => array:1 [
            0 => array:3 [
              "identificador" => "tblfn4a"
              "etiqueta" => "¿"
              "nota" => "<p class="elsevierStyleNotepara">Raz&#243;n de ventajas del &#237;ndice que alcanza el mayor valor para cada factor de riesgo&#46;</p>"
            ]
          ]
        ]
        "descripcion" => array:1 [
          "es" => "<p class="elsevierStyleSimplePara elsevierViewall">Raz&#243;n de ventajas &#40;intervalo de confianza del 95&#37;&#41;&#44; ajustada por edad y sexo&#44; de cada &#237;ndice antropom&#233;trico para los distintos factores de riesgo cardiovascular</p>"
        ]
      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "Bibliograf&#237;a"
      "seccion" => array:1 [
        0 => array:1 [
          "bibliografiaReferencia" => array:57 [
            0 => array:3 [
              "identificador" => "bib1"
              "etiqueta" => "1"
              "referencia" => array:1 [
                0 => array:1 [
                  "referenciaCompleta" => "World Health Organization&#46; Obesity&#58; Preventing and managing the global epidemic&#46; WHO Obesity Technical Report Series 894&#46; Geneve&#44; Switzerland&#58; World Health Organization&#59; 2000 &#91;consultado 26&#47;3&#47;2009&#93;&#46; Disponible en&#58; <a class="elsevierStyleInterRef" href="http://www.who.int">www&#46;who&#46;int</a>"
                ]
              ]
            ]
            1 => array:3 [
              "identificador" => "bib2"
              "etiqueta" => "2"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "The obesity epidemic&#58; Pathophysiology and consequences of obesity"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:1 [
                            0 => "F&#46;X&#46; Pi-Sunyer"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Obes Res"
                        "fecha" => "2002"
                        "volumen" => "10"
                        "paginaInicial" => "97"
                        "paginaFinal" => "104"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            2 => array:3 [
              "identificador" => "bib3"
              "etiqueta" => "3"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Waist circumference&#44; waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults"
                      "autores" => array:1 [
                        0 => array:3 [
                          "colaboracion" => "AusDiab Steering Committee"
                          "etal" => true
                          "autores" => array:6 [
                            0 => "M&#46; Dalton"
                            1 => "A&#46;J&#46; Cameron"
                            2 => "P&#46;Z&#46; Zimmet"
                            3 => "J&#46;E&#46; Shaw"
                            4 => "D&#46; Jolley"
                            5 => "D&#46;W&#46; Dunstan"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "J Intern Med"
                        "fecha" => "2003"
                        "volumen" => "254"
                        "paginaInicial" => "555"
                        "paginaFinal" => "563"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/14641796"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            3 => array:3 [
              "identificador" => "bib4"
              "etiqueta" => "4"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Overweight and obesity as determinants of cardiovascular risk&#58; The Framingham experience"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:5 [
                            0 => "P&#46;W&#46; Wilson"
                            1 => "R&#46;B&#46; D&#8217;Agostino"
                            2 => "L&#46; Sullivan"
                            3 => "H&#46; Parise"
                            4 => "W&#46;B&#46; Kannel"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Arch Intern Med"
                        "fecha" => "2002"
                        "volumen" => "162"
                        "paginaInicial" => "1867"
                        "paginaFinal" => "1872"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12196085"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            4 => array:3 [
              "identificador" => "bib5"
              "etiqueta" => "5"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prevalence and characteristics of the metabolic syndrome in the San Antonio Heart and Framingham Offspring Studies"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:6 [
                            0 => "J&#46;B&#46; Meigs"
                            1 => "P&#46;W&#46; Wilson"
                            2 => "D&#46;M&#46; Nathan"
                            3 => "R&#46;B&#46; D&#8217;Agostino"
                            4 => "K&#46; Williams"
                            5 => "S&#46;M&#46; Haffner"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Diabetes"
                        "fecha" => "2003"
                        "volumen" => "52"
                        "paginaInicial" => "2160"
                        "paginaFinal" => "2167"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12882936"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            5 => array:3 [
              "identificador" => "bib6"
              "etiqueta" => "6"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
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Información del artículo
ISSN: 00257753
Idioma original: Español
DOI:10.1016/j.medcli.2009.09.047
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