<?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>1727-897X</journal-id>
<journal-title><![CDATA[MediSur]]></journal-title>
<abbrev-journal-title><![CDATA[Medisur]]></abbrev-journal-title>
<issn>1727-897X</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Ciencias Médicas de Cienfuegos, Centro Provincial de Ciencias Médicas, Provincia de Cienfuegos.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1727-897X2021000200318</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Las características dinámicas de la salud mental en adultos peruanos durante la cuarentena por COVID-19]]></article-title>
<article-title xml:lang="en"><![CDATA[The dynamic characteristics of mental health in Peruvian adults during the COVID-19 quarantine]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramos Vera]]></surname>
<given-names><![CDATA[Cristian Antony]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Cesar Vallejo  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Perú</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2021</year>
</pub-date>
<volume>19</volume>
<numero>2</numero>
<fpage>318</fpage>
<lpage>322</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1727-897X2021000200318&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1727-897X2021000200318&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1727-897X2021000200318&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Fundamento  La pandemia actual por SARS-CoV-2 contabiliza más de un millón de contagios, y ha causado la muerte, hasta ahora, a más de 300 000 personas. Además, ha tenido un gran impacto psicológico en el contexto latinoamericano.  Objetivo describir las características dinámicas de la salud mental en adultos peruanos durante la cuarentena por COVID-19.  Métodos  estudio descriptivo, que exploró las características dinámicas de manera gráfica, mediante un instrumento de salud mental aplicado (online) a 763 adultos peruanos. Se aplicó un análisis de red mediante los paquetes qgrap y el gráfico LASSO.  Resultados  se observaron mayores medidas de centralidad de red en los reactivos vinculados a síntomas negativos en la salud mental, como el reactivo 9 (sentimiento de infelicidad y depresión) y el 10 (pérdida de confianza); así como la mayor conexión positiva entre los reactivos 3 (toma de decisiones y confianza) y 4 (sentido de vida); y la mayor relación negativa entre los componentes 1 (concentración) y 5 (tensión y angustia).  Conclusión  los sujetos participantes en el estudio manifestaron fundamentalmente sentimientos de infelicidad, depresión y pérdida de confianza, entre otros síntomas negativos. El estudio de la repercusión de la pandemia COVID-19 en la salud mental, adquiere mayor precisión y fundamento científico al aplicarse métodos como el análisis de redes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Background  The current SARS-CoV-2 pandemic accounts for more than one million infections, and has caused the death, so far, more than 300,000 people. In addition, it has had a great psychological impact in the Latin American context.  Objective  to describe the dynamic characteristics of mental health in Peruvian adults during the COVID-19 quarantine.  Methods  descriptive study, which explored the dynamic characteristics graphically, using a mental health instrument applied (online) to 763 Peruvian adults. A network analysis was applied using the qgrap packages and the LASSO graph.  Results  higher network centrality measures were observed in the items related to negative symptoms in mental health, such as item 9 (feeling of unhappiness and depression) and item 10 (loss of confidence); as well as the greater positive connection between items 3 (decision making and trust) and 4 (meaning of life); and the highest negative relationship between components 1 (concentration) and 5 (tension and anguish).  Conclusion  the individuals participating in the study mainly manifested feelings of unhappiness, depression and loss of confidence, among other negative symptoms. The study of the impact of the COVID-19 pandemic on mental health acquires greater precision and scientific basis when applying methods such as network analysis.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Indicadores y reactivos]]></kwd>
<kwd lng="es"><![CDATA[infecciones por coronavirus]]></kwd>
<kwd lng="es"><![CDATA[salud mental]]></kwd>
<kwd lng="es"><![CDATA[cuarentena]]></kwd>
<kwd lng="en"><![CDATA[Indicators and reagents]]></kwd>
<kwd lng="en"><![CDATA[coronavirus infections: mental health]]></kwd>
<kwd lng="en"><![CDATA[quarantine]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Qiu]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Shen]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Xie]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic implications and policy recommendations General]]></article-title>
<source><![CDATA[Psychiatry]]></source>
<year>2020</year>
<volume>33</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Galea]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Merchant]]></surname>
<given-names><![CDATA[RM]]></given-names>
</name>
<name>
<surname><![CDATA[Lurie]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The mental health consequences of COVID-19 and physical distancing the need for prevention and early intervention]]></article-title>
<source><![CDATA[JAMA Intern Med]]></source>
<year>2020</year>
<volume>180</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>817-8</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China a web-based cross-sectional survey]]></article-title>
<source><![CDATA[Psychiatry Res]]></source>
<year>2020</year>
<volume>288</volume>
<page-range>112954</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Roberton]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Carter]]></surname>
<given-names><![CDATA[ED]]></given-names>
</name>
<name>
<surname><![CDATA[Chou]]></surname>
<given-names><![CDATA[VB]]></given-names>
</name>
<name>
<surname><![CDATA[Stegmuller]]></surname>
<given-names><![CDATA[AR]]></given-names>
</name>
<name>
<surname><![CDATA[Jackson]]></surname>
<given-names><![CDATA[BD]]></given-names>
</name>
<name>
<surname><![CDATA[Tam]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Early estimates of the indirect effects of the COVID-19 pandemic on maternal and child mortality in low-income and middle-income countries a modelling study]]></article-title>
<source><![CDATA[The Lancet Global Health]]></source>
<year>2020</year>
<volume>7</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>e901-8</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Urzúa]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Caqueo]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Bargsted]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cad Saúde]]></article-title>
<collab>Irarrázaval M ¿Afecta la forma de puntuación la estructura factorial del GHQ-12? Estudio exploratorio en estudiantes iberoamericanos</collab>
<source><![CDATA[Pública]]></source>
<year>2015</year>
<volume>31</volume>
<page-range>1305-12</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Epskamp]]></surname>
<given-names><![CDATA[S.,]]></given-names>
</name>
<name>
<surname><![CDATA[Fried]]></surname>
<given-names><![CDATA[EI.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A tutorial on regularized partial correlation networks]]></article-title>
<source><![CDATA[Psychol. Methods]]></source>
<year>2018</year>
<volume>23</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>617-34</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bringmann]]></surname>
<given-names><![CDATA[LF]]></given-names>
</name>
<name>
<surname><![CDATA[Elmer]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Epskamp]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Krause]]></surname>
<given-names><![CDATA[RW]]></given-names>
</name>
<name>
<surname><![CDATA[Schoch]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Wichers]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[What do centrality measures measure in psychological networks?]]></article-title>
<source><![CDATA[J Abnorm Psychol]]></source>
<year>2019</year>
<volume>128</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>892-903</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Böhnke]]></surname>
<given-names><![CDATA[JR]]></given-names>
</name>
<name>
<surname><![CDATA[Croudace]]></surname>
<given-names><![CDATA[TJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Calibrating well-being, quality of life and common mental disorder items psychometric epidemiology in public mental health research]]></article-title>
<source><![CDATA[Br J Psychiatry]]></source>
<year>2016</year>
<volume>209</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>162-8</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[LZ]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prevalence and predictors of general psychiatric disorders and loneliness during COVID-19 in the United Kingdom]]></article-title>
<source><![CDATA[Psychiatry Res]]></source>
<year>2020</year>
<volume>291</volume>
<page-range>113267</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ramos]]></surname>
<given-names><![CDATA[CA.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estructura de red del impacto y la percepción de amenaza de la COVID-19.]]></article-title>
<source><![CDATA[Rev Cubana Enferm]]></source>
<year>2020</year>
<volume>36</volume>
</nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ramos]]></surname>
<given-names><![CDATA[CA.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Miedo a la COVID-19 en adultos peruanos mediante análisis de red.]]></article-title>
<source><![CDATA[Rev Cubana Enferm]]></source>
<year>2020</year>
<volume>36</volume>
</nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ramos]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Baños]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Ogundokun]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Network structure of depressive symptoms in Peruvian adults with arterial hypertension]]></article-title>
<source><![CDATA[F1000Research]]></source>
<year>2021</year>
<volume>10</volume>
<page-range>19</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Van Zyl]]></surname>
<given-names><![CDATA[CJJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A network analysis of the General Health Questionnaire]]></article-title>
<source><![CDATA[J health psycho]]></source>
<year>2021</year>
<volume>26</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>249-59</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
