<?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>S0213-91112020000400007</article-id>
<article-id pub-id-type="doi">10.1016/j.gaceta.2018.10.007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Asociación del tipo de vehículo con el riesgo de provocar una colisión entre vehículos]]></article-title>
<article-title xml:lang="en"><![CDATA[Association between type of vehicle and the risk of provoking a collision between vehicles]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martín-de-los Reyes]]></surname>
<given-names><![CDATA[Luis Miguel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-Ruiz]]></surname>
<given-names><![CDATA[Virginia]]></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="A4"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lardelli-Claret]]></surname>
<given-names><![CDATA[Pablo]]></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="A4"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno-Roldán]]></surname>
<given-names><![CDATA[Elena]]></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="A4"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Molina-Soberanes]]></surname>
<given-names><![CDATA[Daniel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jiménez-Mejías]]></surname>
<given-names><![CDATA[Eladio]]></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="A4"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Granada Facultad de Medicina Departamento de Medicina Preventiva y Salud Pública]]></institution>
<addr-line><![CDATA[Granada ]]></addr-line>
<country>España</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Granada Programa de Doctorado en Medicina Clínica y Salud Pública ]]></institution>
<addr-line><![CDATA[Granada ]]></addr-line>
<country>España</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,CIBER de Epidemiología y Salud Pública (CIBERESP)  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>España</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Instituto de Investigación Biosanitaria de Granada  ]]></institution>
<addr-line><![CDATA[Granada ]]></addr-line>
<country>España</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2020</year>
</pub-date>
<volume>34</volume>
<numero>4</numero>
<fpage>350</fpage>
<lpage>355</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_arttext&amp;pid=S0213-91112020000400007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_abstract&amp;pid=S0213-91112020000400007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_pdf&amp;pid=S0213-91112020000400007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivo Cuantificar la magnitud de la asociación entre el tipo de vehículo y la probabilidad de ser el responsable de una colisión entre dos o más vehículos.  Método A partir del registro de accidentes de tráfico con víctimas de la Dirección General de Tráfico (2014 y 2015) se diseñó un estudio de casos y controles emparejado. Los casos fueron los conductores infractores implicados en las 27.630 colisiones entre dos o más vehículos, en las que solo uno de los conductores implicados había cometido algún error de conducción o infracción. Cada caso se emparejó con los conductores no infractores de los vehículos implicados en el mismo accidente; en total se dispuso de 31.219 controles. Aparte de la comisión de infracciones y del tipo de vehículo implicado, se obtuvo información para otras características del conductor (edad, sexo, etc.) y del vehículo (antigüedad). Se calcularon odds ratios (OR) para cuantificar la asociación entre cada tipo de vehículo y la odds de ser el causante de la colisión, crudas y ajustadas (ORa) (regresión logística condicionada) por el resto de las variables recogidas.  Resultados En comparación con los turismos, se obtuvo un menor riesgo de provocar la colisión para bicicletas (ORa: 0,30), ciclomotores (ORa: 0,52) y autobuses (ORa: 0,63), y un mayor riesgo para furgonetas (ORa: 1,19) y vehículos todoterreno (ORa: 1,33).  Conclusión Los vehículos de dos ruedas y los autobuses tienen un menor riesgo de provocar colisiones que los turismos. Esta asociación es independiente de algunas características del conductor, así como de la antigüedad del vehículo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Objective To quantify the magnitude of the association between the type of vehicle and the probability of being responsible for a collision between two or more vehicles.  Method From the registry of road crashes with victims maintained by the Spanish Traffic General Directorate (2014 and 2015), a matched case-control study was designed. Cases were offending drivers involved in the 27,630 collisions between two or more vehicles in which only one of the drivers had committed a driving mistake or offence. Each case was matched with the non-offending drivers of the vehicles involved in the same crash: in all, 31,219 controls were included. Apart from the commission of offences and the type of vehicle involved, we got information about other characteristics of the driver (age, sex, etc.) and about the vehicle (age). Odds ratios (OR) were calculated in order to quantify the association between each type of vehicle and the odds of being responsible for the collision, crude and adjusted (by conditioned logistic regression) by the rest of collected variables.  Results In comparison with private cars, bicycles had a lower risk of causing a collision (adjusted OR: .30), and also mopeds (aOR: .52) and buses (aOR: .63). Vans (aOR: 1.19) and four-wheel vehicles (aOR: 1.33) increased the risk.  Conclusion Two-wheeled vehicles and buses had a lower risk of causing collisions than private cars. This association is independent of some of the characteristics of the driver, as well as the age of the vehicle.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Accidente de tráfico]]></kwd>
<kwd lng="es"><![CDATA[Vehículos a motor]]></kwd>
<kwd lng="es"><![CDATA[Estudio de casos y controles]]></kwd>
<kwd lng="es"><![CDATA[Factores de riesgo]]></kwd>
<kwd lng="es"><![CDATA[Motocicletas]]></kwd>
<kwd lng="en"><![CDATA[Traffic accident]]></kwd>
<kwd lng="en"><![CDATA[Motor vehicles]]></kwd>
<kwd lng="en"><![CDATA[Case-control studies]]></kwd>
<kwd lng="en"><![CDATA[Risk factors]]></kwd>
<kwd lng="en"><![CDATA[Motorcycles]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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