<?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>0120-0011</journal-id>
<journal-title><![CDATA[Revista de la Facultad de Medicina]]></journal-title>
<abbrev-journal-title><![CDATA[rev.fac.med.]]></abbrev-journal-title>
<issn>0120-0011</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-00112017000200267</article-id>
<article-id pub-id-type="doi">10.15446/revfacmed.v65n2.57766</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Pobreza multidimensional y determinantes sociales de la salud. Línea de base para dos comunidades vulnerables]]></article-title>
<article-title xml:lang="en"><![CDATA[Multidimensional poverty index and social determinants of health. Baseline for two vulnerable communities]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno-Gómez]]></surname>
<given-names><![CDATA[Germán Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Duarte-Gómez]]></surname>
<given-names><![CDATA[María Beatriz]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barrientos-Gutiérrez]]></surname>
<given-names><![CDATA[Tonatiuh]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Tecnológica de Pereira Departamento de Medicina Comunitaria ]]></institution>
<addr-line><![CDATA[Pereira ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Nacional de Salud Pública Centro de Investigación en Sistemas de Salud ]]></institution>
<addr-line><![CDATA[Cuernavaca ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Nacional de Salud Pública Centro de Investigación en Salud Poblacional ]]></institution>
<addr-line><![CDATA[Cuernavaca ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2017</year>
</pub-date>
<volume>65</volume>
<numero>2</numero>
<fpage>267</fpage>
<lpage>274</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-00112017000200267&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-00112017000200267&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-00112017000200267&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción. Las políticas y programas del gobierno, orientados a disminuir las inequidades, tienen efectos sociales, económicos e impacto sobre las condiciones de salud; además, suelen carecer de procesos de evaluación que midan el impacto de sus intervenciones. Por lo tanto, este estudio plantea una línea de base del índice de pobreza multidimensional (IPM) en dos comunidades vulnerables, que permitirá evaluar, con posterioridad, el impacto del desarrollo en una zona franca.  Materiales y métodos. El diseño del estudio fue observacional, descriptivo y transversal, a fin de establecer la línea de base de determinantes sociales de la salud, contenidos en el IPM y el efecto potencial de la intervención sobre las variables y dimensiones del IPM en dos corregimientos, antes del desarrollo de una zona franca.  Resultados. Los hallazgos muestran las condiciones de vida precarias y de inequidad de las dos poblaciones, sobre todo en la dimensión educativa, los derechos de la población infantil y las condiciones de la vivienda. Las variables que mejor explican la pobreza son el analfabetismo, el rezago escolar y los pisos de tierra sobre los que es inadecuado habitar. La prevalencia de pobreza en Caimalito (80.9%) y Puerto Caldas (66.5%) supera la general de Colombia (24.8%) y de la región central (26.1%). Asimismo, la incidencia ajustada de pobreza en Caimalito (20.1%) y Puerto Caldas (18.5%) son mayores que la de Colombia (13%).  Conclusión. Es necesario modificar variables del índice que no discriminen hogares pobres. La simulación de intervenciones aisladas tienen poco o ningún efecto en la reducción de la pobreza.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction: Government policies and programs, aimed at reducing inequities, have a social and economic and impact on health conditions. However, they often lack evaluation processes that measure the impact of their interventions. Therefore, this study sets out a baseline of the Multidimensional Poverty Index (MPI) in two vulnerable communities, which will allow to assess the impact of development on a free zone.  Materials and methods: Observational, descriptive and transversal study directed to establish the baseline of social determinants of health contained in the MPI, as well as the potential effect of the intervention on the variables and dimensions of the MPI in two precincts, before a free zone is developed.  Results: Findings show the precarious living conditions and inequity in both populations, especially in the educational dimension, the rights of children and housing conditions. The variables that best explain poverty are illiteracy, education lag, and gravel floors which make habitability inappropriate. The prevalence of poverty in Caimalito (80.9%) and Puerto Caldas (66.5%) surpasses general poverty indexes in Colombia (24.8%) and in the central region (26.1%). Likewise, the adjusted incidence of poverty in Caimalito (20.1%) and Puerto Caldas (18.5%) is higher than in Colombia (13%).  Conclusion: It is necessary to modify index variables that do not discriminate poor households. Simulation of isolated interventions have little or no effect on poverty reduction.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Pobreza]]></kwd>
<kwd lng="es"><![CDATA[Determinantes sociales de la salud]]></kwd>
<kwd lng="es"><![CDATA[Desigualdades en la salud (DeCS)]]></kwd>
<kwd lng="en"><![CDATA[Poverty]]></kwd>
<kwd lng="en"><![CDATA[Social Determinants of Health]]></kwd>
<kwd lng="en"><![CDATA[Healthcare Disparities (MeSH)]]></kwd>
</kwd-group>
</article-meta>
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