<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0138-6557</journal-id>
<journal-title><![CDATA[Revista Cubana de Medicina Militar]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. cuban. med. mil.]]></abbrev-journal-title>
<issn>0138-6557</issn>
<publisher>
<publisher-name><![CDATA[Centro Nacional de Información de Ciencias MédicasEditorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0138-65572023000200009</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Metabolic syndrome prevalence in military personnel and correlation with anthropometric values in Ecuador]]></article-title>
<article-title xml:lang="es"><![CDATA[Prevalencia de síndrome metabólico en el personal militar y correlación con valores antropométricos en Ecuador]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Muñoz-Gualan]]></surname>
<given-names><![CDATA[German Geovanny]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Muñoz-Gualan]]></surname>
<given-names><![CDATA[Alberth Patricio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,University of Armed Forces ESPE Military Health Department ]]></institution>
<addr-line><![CDATA[Loja ]]></addr-line>
<country>Ecuador</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Peoples&#8217; Friendship University of Russia Division of Nervous Diseases and Neurosurgery ]]></institution>
<addr-line><![CDATA[ Moscow]]></addr-line>
<country>Russia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2023</year>
</pub-date>
<volume>52</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0138-65572023000200009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0138-65572023000200009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0138-65572023000200009&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction: Fat excess in the organism can behave as a multifactorial problem and predisposes to the presence of non-transmissible chronic diseases, in which cardiovascular diseases can be mentioned.  Objective: To establish the optimal cut-off for anthropometric indices to predict Metabolic Syndrome in army personnel, attended at the primary health care.  Method:  An analytical, non-experimental study that was carried out in army personnel at the University of the Armed Forces, during the year 2020. The sample was represented by 203 participants, the collection methods were the medical and anthropometric records, taking into consideration variables such as height and weight, hip and waist circumference, body mass index, laboratory tests, among others. All the data was analyzed using international classification criteria.  Results:  The prevalence of MetSyn was obtained, according to the different criteria: MetSyn ALAD: 4.08% (SD: 0.52), MetSyn ATP III: 7.65% (SD: 0.52), MetSyn HARM: 5.4% (SD: 0.52) and finally, MetSyn OMS: 7.65% (SD: 0.52). Likewise, the predictive anthropometric indices according to the highest AUC are the WC and WHtR in all the criteria studied, in addition, according to MetSyn ATP III, the optimal WC cut-off is 91 cm and the WHtR is 0.53.  Conclusions: The optimal cut-off for anthropometric indices that predict Metabolic syndrome in army personnel are WC and WHtR, with an optimal cut off lower than the criteria established by ALAD to the diagnosis of MetSyn.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción: El exceso de grasa en el organismo puede ser un problema multifactorial y predispone a la presencia de enfermedades crónicas no transmisibles, entre las que se encuentran las cardiovasculares.  Objetivo: Establecer el corte óptimo de los índices antropométricos para predecir el síndrome metabólico en personal militar que se atiende en la atención primaria de salud.  Métodos: Estudio analítico, no experimental, llevado a cabo en personal militar de la Universidad de las Fuerzas Armadas, durante el año 2020. La muestra está representada por 203 participantes, los métodos de colección fueron los registros médicos y antropométricos, tomando en consideración variables como talla y peso, circunferencia de cintura y cadera, índice de masa corporal, pruebas de laboratorio, entre otros. Todos los datos fueron analizados usando criterios de clasificación internacional.  Resultado: La prevalencia de síndrome metabólico (MetSyn), según los diferentes criterios es: MetSyn ALAD: 4,08 % (SD: 0,52), MetSyn ATP III: 7,65 % (SD: 0,52), MetSyn HARM: 5,4 % (SD: 0,52) y finalmente, MetSyn OMS: 7,65 % (SD: 0,52). Además, los índices antropométricos predictivos son el WC y WHtR en todos los criterios estudiados, y según MetSyn ATP III, el corte óptimo del WC es de 91 cm y del WHtR es de 0,53.  Conclusiones: Los puntos de corte óptimos para los índices antropométricos que predicen el síndrome metabólico en el personal militar son WC y WHtR, con un punto de corte óptimo inferior a los criterios establecidos por ALAD para el diagnóstico de MetSyn.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[metabolic syndrome]]></kwd>
<kwd lng="en"><![CDATA[anthropometric indices]]></kwd>
<kwd lng="en"><![CDATA[military instructors]]></kwd>
<kwd lng="en"><![CDATA[optimal cut]]></kwd>
<kwd lng="en"><![CDATA[Ecuador]]></kwd>
<kwd lng="es"><![CDATA[síndrome metabólico]]></kwd>
<kwd lng="es"><![CDATA[índices antropométricos]]></kwd>
<kwd lng="es"><![CDATA[instructores militares]]></kwd>
<kwd lng="es"><![CDATA[corte óptimo]]></kwd>
<kwd lng="es"><![CDATA[Ecuador]]></kwd>
</kwd-group>
</article-meta>
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