<?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>1729-519X</journal-id>
<journal-title><![CDATA[Revista Habanera de Ciencias Médicas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev haban cienc méd]]></abbrev-journal-title>
<issn>1729-519X</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Ciencias Médicas de la Habana]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1729-519X2022000100011</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Modelo de predicción para Síndrome metabólico en adultos de Trujillo, Perú]]></article-title>
<article-title xml:lang="en"><![CDATA[Prediction model for metabolic syndrome in adults from Trujillo, Peru]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Díaz-Ortega]]></surname>
<given-names><![CDATA[Jorge Luis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Yupari-Azabache]]></surname>
<given-names><![CDATA[Irma]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Católica Los Ángeles de Chimbote Facultad de Ciencias de la Salud Escuela Profesional de Farmacia y Bioquímica]]></institution>
<addr-line><![CDATA[Chimbote ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad &#8220;César Vallejo&#8221; Instituto de Investigación ]]></institution>
<addr-line><![CDATA[Trujillo ]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>02</month>
<year>2022</year>
</pub-date>
<volume>21</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1729-519X2022000100011&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1729-519X2022000100011&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1729-519X2022000100011&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  El síndrome metabólico es una confluencia de alteración metabólica que involucra la glicemia y el perfil lipídico, la presión arterial, y en especial la obesidad que aumentan el riesgo cardiovascular.  Objetivo:  Estimar un modelo de predicción de síndrome metabólico en adultos del Distrito de Trujillo (Perú), a partir de indicadores aterogénicos, antropométricos y estilos de vida.  Material y Métodos:  Participaron 260 adultos de 30 a 65 años de la Ciudad de Trujillo. El síndrome metabólico se identificó mediante criterios del ALAD y ATP III armonizado, y se aplicó un cuestionario de preguntas para estilos de vida. Para el análisis estadístico se utilizó la regresión logística.  Resultados:  Consumen gaseosa y snack 70,8 % y 38,5 %; no consumen frutas y verduras en 56,2 % y 58,1 %; y no realiza actividad física 47,7 %. Presentó síndrome metabólico según ALAD y ATP III 46,2 % y 48,1 %, respectivamente. Se asociaron según ALAD; el Índice de Masa Corporal (OR: 11,014; IC 95 %: 4,337-27,971); Índice Castelli (OR: 2,344; IC95 %: 1,074-5,113) y TG/HDL (OR: 3,584; IC 95 %: 1,774-7,242). Se asociaron según ATP III; el sexo (OR: 2,385; IC 95 %: 1,2-4,739); edad (OR: 1,939; IC 95%: 1,032 - 3,644); Índice de Masa Corporal (OR: 5,880; IC 95 %: 2,547-13,576); índice de Castelli (OR: 2,935; IC 95 %: 1,295-6,653) y TG/HDL (OR: 6,937; IC 95 % 3,232-14,889). No hubo asociación entre estilos de vida y síndrome metabólico.  Conclusiones: El modelo de predicción para síndrome metabólico por ALAD involucra al Índice de Masa Corporal, Castelli e Índice TG/HDL; se adiciona género y edad en el modelo para síndrome metabólico por ATP III armonizado.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  The metabolic syndrome is a confluence of metabolic alteration that involves blood glucose and lipid profile, blood pressure, and especially obesity that increase cardiovascular risk.  Objective:  To estimate a prediction model for metabolic syndrome (MS) in adults from the District of Trujillo (Peru) on the basis of atherogenic, anthropometric and lifestyle indicators.  Material and Methods:  A total of 260 adults between 30 and 65 years old from the City of Trujillo participated in the study. MS was identified using the ALAD and harmonized ATP III criteria, and a questionnaire containing questions on lifestyles was applied. Logistic regression was used for statistical analysis.  Results:  The results of the study show that 70.8% and 38.5% consume soda and snack; 56.2 % and 58.1 % do not consume fruits and vegetables; and 47.7 % of them do not do physical activity. According to ALAD and ATP III, 46.2 % and 48.1 % presented MS, respectively. The BMI (OR: 11.014; 95 % CI: 4.337-27.971); Castelli Index (OR: 2.344; 95 % CI: 1.074-5.113) and TG / HDL (OR: 3.584; 95 % CI: 1.774-7.242) were associated with MS according to ALAD criteria. Sex (OR: 2.385; 95 % CI: 1.2-4.739); Age (OR: 1,939; 95 % CI: 1,032 - 3,644); BMI (OR: 5.880; 95 % CI: 2.547-13.576); Castelli index (OR: 2,935; 95 % CI: 1,295-6,653) and TG/HDL (OR: 6,937; 95 % CI 3,232-14,889) were associated with MS according to ATP III criteria. There was no association between lifestyle and MS.  Conclusions:  It is concluded that the prediction model for MS according to ALAD criteria involves BMI, Castelli index and TG/HDL index; gender and age are added in the model for MS according to harmonized ATP III criteria.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Adultos]]></kwd>
<kwd lng="es"><![CDATA[colesterol]]></kwd>
<kwd lng="es"><![CDATA[HDL-colesterol]]></kwd>
<kwd lng="es"><![CDATA[triglicéridos]]></kwd>
<kwd lng="es"><![CDATA[estilo de vida]]></kwd>
<kwd lng="es"><![CDATA[síndrome metabólico]]></kwd>
<kwd lng="en"><![CDATA[Adults]]></kwd>
<kwd lng="en"><![CDATA[cholesterol]]></kwd>
<kwd lng="en"><![CDATA[HDL cholesterol]]></kwd>
<kwd lng="en"><![CDATA[triglycerides]]></kwd>
<kwd lng="en"><![CDATA[lifestyles]]></kwd>
<kwd lng="en"><![CDATA[metabolic syndrome]]></kwd>
</kwd-group>
</article-meta>
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