<?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>0213-9111</journal-id>
<journal-title><![CDATA[Gaceta Sanitaria]]></journal-title>
<abbrev-journal-title><![CDATA[Gac Sanit]]></abbrev-journal-title>
<issn>0213-9111</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Española de Salud Pública y Administración Sanitaria (SESPAS)]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0213-91112021000300003</article-id>
<article-id pub-id-type="doi">10.1016/j.gaceta.2019.11.002</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Risk of child poverty and social exclusion in two Spanish regions: social and family determinants]]></article-title>
<article-title xml:lang="es"><![CDATA[Riesgo de pobreza infantil y exclusión social en dos regiones españolas: determinantes sociales y familiares]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González]]></surname>
<given-names><![CDATA[Llúcia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Estarlich]]></surname>
<given-names><![CDATA[Marisa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
<xref ref-type="aff" rid="A a"/>
<xref ref-type="aff" rid="A3"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Murcia]]></surname>
<given-names><![CDATA[Mario]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Larrañaga]]></surname>
<given-names><![CDATA[Isabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barreto]]></surname>
<given-names><![CDATA[Florencia B]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santa-Marina]]></surname>
<given-names><![CDATA[Loreto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
<xref ref-type="aff" rid="A a"/>
<xref ref-type="aff" rid="A5"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arranz]]></surname>
<given-names><![CDATA[Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cirugeda]]></surname>
<given-names><![CDATA[Lourdes]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
<xref ref-type="aff" rid="A a"/>
<xref ref-type="aff" rid="A8"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Simó]]></surname>
<given-names><![CDATA[Sandra]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rebagliato]]></surname>
<given-names><![CDATA[Marisa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
<xref ref-type="aff" rid="A a"/>
<xref ref-type="aff" rid="A10"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,FISABIO-University of Valencia-Universitat Jaume I Joint Research Unit in Epidemiology, Environment and Health ]]></institution>
<addr-line><![CDATA[ Valencia]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP)  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,University of Valencia Department of Infirmary and Chiropody ]]></institution>
<addr-line><![CDATA[Valencia ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Basque Government Public Health Division of Gipuzkoa ]]></institution>
<addr-line><![CDATA[San Sebastián ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,BIODONOSTIA Health Research Institute  ]]></institution>
<addr-line><![CDATA[San Sebastián ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af6">
<institution><![CDATA[,University of Basque Country  ]]></institution>
<addr-line><![CDATA[Leioa ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af7">
<institution><![CDATA[,ISGlobal  ]]></institution>
<addr-line><![CDATA[Barcelona ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af8">
<institution><![CDATA[,Universitat Pompeu Fabra Department of Experimental and Health Sciences ]]></institution>
<addr-line><![CDATA[Barcelona ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af9">
<institution><![CDATA[,University of Valencia Department of Basic Psychology ]]></institution>
<addr-line><![CDATA[Valencia ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="A10">
<institution><![CDATA[,Universitat Jaume I Predepartamental Unit of Medicine ]]></institution>
<addr-line><![CDATA[Castellón de la Plana ]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<volume>35</volume>
<numero>3</numero>
<fpage>216</fpage>
<lpage>223</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_arttext&amp;pid=S0213-91112021000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_abstract&amp;pid=S0213-91112021000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_pdf&amp;pid=S0213-91112021000300003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Objective Describe the risk of poverty and social exclusion in children aged 8-11 years from Gipuzkoa and Valencia (Spain), through AROPE (At Risk of Poverty or Social Exclusion) indicators, and evaluate their associated factors in the INMA Project (Childhood and Environment).  Method Families in Gipuzkoa and Valencia (394 and 382, respectively) completed a questionnaire in 2015-2016. Low work intensity (LWI), at risk of poverty (RP) and material deprivation (MD) were estimated. AROPE consisted in meeting any of the previous sub-indicators. Socio-demographic, family and parental characteristics were considered. Frequencies, Venn's diagrams, and chi-square and Fisher tests were used in bivariate analysis and logistic regression in multivariate analysis.  Results For LWI, RP, MD and AROPE, prevalence of 2.5%, 5.6%, 2.3% and 7.2% were obtained in Gipuzkoa, and 8.1%, 31.5%, 7.8% and 34.7% in Valencia, respectively. In the multivariate analysis, the AROPE was associated in both areas with maternal social class and non-nuclear families. In Gipuzkoa, it was also related to maternal education. In Valencia, other factors were the mother's foreign origin, and paternal education and smoking.  Conclusion There is higher AROPE prevalence in Valencia. Social class and family type were shared factors, but a differential pattern is observed in other social determinants. It is essential to implement social policies to reduce this axis of inequalities in health, especially in childhood.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivo Describir el riesgo de pobreza y exclusión social en niños/as de 8-11 años de Gipuzkoa y Valencia (España), mediante los indicadores AROPE (At Risk Of Poverty or Social Exclusion), y evaluar sus factores asociados en el Proyecto INMA (Infancia y Medio Ambiente).  Método Familias de Gipuzkoa y Valencia (394 y 382, respectivamente) completaron un cuestionario en 2015-2016. Se estimaron la baja intensidad de trabajo (BIT), el riesgo de pobreza (RP) y la privación material (PM). AROPE consistió en cumplir cualquiera de estos subindicadores. Se consideraron características sociodemográficas, familiares y parentales. Se usaron diagramas de Venn, los test de Ji-cuadrado y Fisher en los análisis bivariados, y regresión logística en los análisis multivariados.  Resultados Se obtuvieron prevalencias para BIT, RP, PM y AROPE del 2,5%, 5,6%, 2,3% y 7,2% en Gipuzkoa, y del 8,1%, 31,5%, 7,8% y 34,7% en Valencia, respectivamente. En el análisis multivariado, el AROPE se asoció en ambas áreas con la clase social materna y la familia no nuclear. En Gipuzkoa, también se relacionó con la educación materna. En Valencia, otros factores fueron el origen extranjero materno y la educación y el tabaquismo paternos.  Conclusión Hay un AROPE más alto en Valencia. La clase social y el tipo de familia fueron factores compartidos, pero se observa un patrón diferencial en otros determinantes sociales. Es esencial implementar políticas sociales para reducir este eje de desigualdad en salud, especialmente en la infancia.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Poverty]]></kwd>
<kwd lng="en"><![CDATA[Low work intensity]]></kwd>
<kwd lng="en"><![CDATA[AROPE]]></kwd>
<kwd lng="en"><![CDATA[Inequalities]]></kwd>
<kwd lng="en"><![CDATA[Material deprivation]]></kwd>
<kwd lng="en"><![CDATA[Children]]></kwd>
<kwd lng="es"><![CDATA[Pobreza]]></kwd>
<kwd lng="es"><![CDATA[Baja intensidad de empleo]]></kwd>
<kwd lng="es"><![CDATA[AROPE]]></kwd>
<kwd lng="es"><![CDATA[Desigualdades]]></kwd>
<kwd lng="es"><![CDATA[Privación material]]></kwd>
<kwd lng="es"><![CDATA[Infancia]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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