<?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>2007-1523</journal-id>
<journal-title><![CDATA[Revista mexicana de trastornos alimentarios]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Mex. de trastor. aliment]]></abbrev-journal-title>
<issn>2007-1523</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Estudios Superiores Iztacala]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-15232024000200188</article-id>
<article-id pub-id-type="doi">10.22201/fesi.20071523e.2024.2.808</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis de somnolencia y hábitos de salud en pacientes con apnea del sueño mediante Red Neuronal Artificial]]></article-title>
<article-title xml:lang="en"><![CDATA[Analysis of drowsiness and health habits in patients with sleep apnea using Artificial Neural Network]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguilera-Sosa]]></surname>
<given-names><![CDATA[Víctor R]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arias González]]></surname>
<given-names><![CDATA[Leticia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santa-Miranda]]></surname>
<given-names><![CDATA[Rafael]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez Vielma]]></surname>
<given-names><![CDATA[Nadia Mabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Politécnico Nacional  ]]></institution>
<addr-line><![CDATA[CDMX ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional Autónoma de México Facultad de Medicina Departamento de Fisiología]]></institution>
<addr-line><![CDATA[CDMX ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Politécnico Nacional  ]]></institution>
<addr-line><![CDATA[CDMX ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>14</volume>
<numero>2</numero>
<fpage>188</fpage>
<lpage>199</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-15232024000200188&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-15232024000200188&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-15232024000200188&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La OB es uno de los principales factores de riesgo para el Síndrome de apnea obstructiva del sueño (SAOS), que a su vez es generadora de somnolencia diurna. Los hábitos y estilos de vida, en conjunto con factores sociodemográficos, pueden explicar los niveles de somnolencia.  Objetivo  generar una Red Neuronal Artificial para identificar pesos sinápticos de los hábitos de salud, que incluye a la sobre y sub ingesta, IMC, y factores sociodemográficos, en una n=140 de pacientes entre 18-65 años que acudieron a la Clínica de Trastornos del Sueño, de la UNAM, IMC &#8805;25 kg / m2 y con un SAOS de grave a moderada, tratados con CPAP (presión positiva continua en las vías respiratorias).  Método  estudio a conveniencia, transversal, exploratorio, cuantitativo, y explicativo.  Resultados  el IMC, la sobre ingesta, los antojos, la sub ingesta, y las expectativas para bajar de peso, tiene pesos sinápticos cada una por &gt;60%. De las variables sociodemográficas, la escolaridad y padecer alguna comorbilidad, tuvieron pesos sinápticos de 46% cada una.  Conclusiones  el IMC, y las conductas de salud, con puntos de corte en riesgo, explican a la somnolencia. Estos hallazgos nos permiten identificar con modelos no lineales, la importancia por separado que tiene las variables psicológicas y sociodemográficas en la somnolencia en sujetos con SAOS.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Obesity is one of the main risk factors for Obstructive Sleep Apnea Syndrome (OSAS), which in turn causes daytime sleepiness. Habits and lifestyles, together with sociodemographic factors, can explain the levels of sleepiness in relation to OSAS.  Objective  to generate an Artificial Neural Network to identify the difference in the synaptic weights of health habits, which includes over and under intake, BMI, and sociodemographic factors, in n=140 of patients between 18-65 years of age who attended to the Sleep Disorders Clinic, UNAM, BMI &#8805;25 kg/m2 and with severe to moderate OSAS, treated with CPAP (continuous positive airway pressure).  Method convenience, cross-sectional, exploratory, quantitative, and explanatory study. diagnosed with moderate to severe OSAS.  Results  BMI, over-eating, cravings, under-eating, and expectations for weight loss each have synaptic weights by &gt;60%. Of the sociodemographic variables, schooling and suffering from some comorbidity, had synaptic weights of 46% each.  Conclusions the BMI, and health behaviors, with cut-off points at risk, explain sleepiness. These findings allow us to identify, with non-linear models, the separate importance of psychological and sociodemographic variables in sleepiness in subjects with OSAS.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Somnolencia]]></kwd>
<kwd lng="es"><![CDATA[IMC]]></kwd>
<kwd lng="es"><![CDATA[estilo de vida]]></kwd>
<kwd lng="es"><![CDATA[Red Neuronal Artificial]]></kwd>
<kwd lng="es"><![CDATA[factores sociodemográficos]]></kwd>
<kwd lng="en"><![CDATA[Sleepiness]]></kwd>
<kwd lng="en"><![CDATA[BMI]]></kwd>
<kwd lng="en"><![CDATA[lifestyle]]></kwd>
<kwd lng="en"><![CDATA[Artificial Neural Network]]></kwd>
<kwd lng="en"><![CDATA[sociodemographic factors]]></kwd>
</kwd-group>
</article-meta>
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