<?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>1135-5727</journal-id>
<journal-title><![CDATA[Revista Española de Salud Pública]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Esp. Salud Publica]]></abbrev-journal-title>
<issn>1135-5727</issn>
<publisher>
<publisher-name><![CDATA[Ministerio de Sanidad]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1135-57272014000400003</article-id>
<article-id pub-id-type="doi">10.4321/S1135-57272014000400003</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Métodos de investigación sobre daños en la población relacionados con el alcohol]]></article-title>
<article-title xml:lang="en"><![CDATA[Research methods on alcohol-related harm in the population]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Indave]]></surname>
<given-names><![CDATA[B. Iciar]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sordo]]></surname>
<given-names><![CDATA[Luis]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
<xref ref-type="aff" rid="A03"/>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pulido]]></surname>
<given-names><![CDATA[José]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vallejo]]></surname>
<given-names><![CDATA[Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sarasa-Renedo]]></surname>
<given-names><![CDATA[Ana]]></given-names>
</name>
<xref ref-type="aff" rid="A05"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bravo]]></surname>
<given-names><![CDATA[María J.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
<xref ref-type="aff" rid="A04"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Hospital Universitario de Móstoles Servicio de Medicina Preventiva ]]></institution>
<addr-line><![CDATA[Móstoles ]]></addr-line>
</aff>
<aff id="A02">
<institution><![CDATA[,Instituto de Salud Carlos III Centro Nacional de Epidemiología ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A03">
<institution><![CDATA[,Universidad Complutense de Madrid Facultad de Medicina Departamento de Medicina Preventiva y Salud Pública]]></institution>
<addr-line><![CDATA[Madrid ]]></addr-line>
</aff>
<aff id="A04">
<institution><![CDATA[,Centro de Investigación Biomédica En Red de Epidemiología y Salud Pública (CIBERESP)  ]]></institution>
<addr-line><![CDATA[Madrid ]]></addr-line>
</aff>
<aff id="A05">
<institution><![CDATA[,Instituto de Salud Carlos III Centro Nacional de Epidemiología Programa de Epidemiología Aplicada de Campo (PEAC)]]></institution>
<addr-line><![CDATA[Madrid ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2014</year>
</pub-date>
<volume>88</volume>
<numero>4</numero>
<fpage>447</fpage>
<lpage>468</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_arttext&amp;pid=S1135-57272014000400003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_abstract&amp;pid=S1135-57272014000400003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_pdf&amp;pid=S1135-57272014000400003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[El objetivo de este trabajo es describir los principales métodos disponibles para cuantificar los daños sociales y sanitarios relacionados con el alcohol en la población y hacer recomendaciones para mejorar la investigación sobre estos aspectos. Se consideran los métodos para estudiar la naturaleza de la relación entre el consumo de alcohol y los daños a partir de datos individuales y agregados, señalando sus ventajas y limitaciones. Se describen los métodos para cuantificar la magnitud y las tendencias de los daños relacionados con alcohol en la población, incluyendo dependencia, intoxicación aguda, lesiones o conductas violentas, mortalidad, carga de enfermedad y costes sociales atribuibles. A menudo hay discrepancias entre los resultados de los estudios por la dificultad para medir adecuadamente el consumo y su relación con las condiciones de salud. Hay que potenciar la investigación sobre el efecto de patrones y contexto de consumo en las enfermedades crónicas utilizando grupos control adecuados, aclarar la relación de la dependencia alcohólica con otros trastornos mentales, mejorar la medida del grado de intoxicación alcohólica cuando se producen otros problemas agudos, cuantificar periódicamente la carga de enfermedad y los costes atribuibles a alcohol (usando fracciones atribuibles específicas de país) y desarrollar métodos e indicadores válidos y comparables para monitorizar los daños relacionados con alcohol.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[The aim of this paper is to describe the available methods to quantify the main health and social harms related to alcohol consumption in the population and to provide recommendations to improve research on these issues. Methods using individual and aggregate level data for the study of the relationship between alcohol consumption and related harms are taken into account, highlighting their strengths and weaknesses. Methodological aspects to quantify the magnitude and trends of alcohol-related and alcohol-attributable mortality, including alcohol dependence, acute intoxication, injury, violent behavior, disease burden and social costs are widely considered. There are often discrepancies between the study results mainly due to the difficulty of adequately measuring alcohol consumption and its relationship to health conditions. In the future we must strengthen research on the effect of drinking patterns and context in chronic diseases using appropriate controls, clarify the relationship of alcohol use disorders and other mental disorders , improve the measurement of alcohol intoxication when acute problems occurs, periodically quantify the disease burden and social costs attributable to alcohol (using country- specific attributable fractions) and develop valid and comparable methods and indicators for monitoring alcohol-related harm.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Bebidas alcohólicas]]></kwd>
<kwd lng="es"><![CDATA[Trastornos relacionados con alcohol]]></kwd>
<kwd lng="es"><![CDATA[Heridas y traumatismos]]></kwd>
<kwd lng="es"><![CDATA[Problemas sociales]]></kwd>
<kwd lng="es"><![CDATA[Mortalidad prematura]]></kwd>
<kwd lng="es"><![CDATA[Carga de enfermedad]]></kwd>
<kwd lng="es"><![CDATA[Coste de enfermedad]]></kwd>
<kwd lng="es"><![CDATA[Métodos de investigación]]></kwd>
<kwd lng="en"><![CDATA[Alcoholic beverages]]></kwd>
<kwd lng="en"><![CDATA[Alcohol-related disorders]]></kwd>
<kwd lng="en"><![CDATA[Injuries]]></kwd>
<kwd lng="en"><![CDATA[Social problems]]></kwd>
<kwd lng="en"><![CDATA[Premature mortality]]></kwd>
<kwd lng="en"><![CDATA[Burden of disease]]></kwd>
<kwd lng="en"><![CDATA[Cost of illness]]></kwd>
<kwd lng="en"><![CDATA[Research methods]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p><a name="top"></a><font face="Verdana" size="2"><b>COLABORACI&Oacute;N ESPECIAL</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="4"><b>Métodos de investigación sobre daños en la población relacionados con el alcohol (*)</b></font></p>     <p><font face="Verdana" size="4"><b>Research methods on alcohol-related harm in the population</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>B. Iciar Indave (1), Luis Sordo (2,3,4), Jos&eacute; Pulido (2,4), Fernando Vallejo (2,4), Ana Sarasa-Renedo (5) y Mar&iacute;a J. Bravo (2,4)</b></font></p>     <p><font face="Verdana" size="2">(1) Servicio de Medicina Preventiva. Hospital Universitario de M&oacute;stoles. Madrid.    <br>(2) Centro Nacional de Epidemiolog&iacute;a, Instituto de Salud Carlos III. Madrid.    <br>(3) Departamento de Medicina Preventiva y Salud P&uacute;blica, Facultad de Medicina. Universidad Complutense de Madrid. Madrid.    ]]></body>
<body><![CDATA[<br>(4) CIBER Epidemiolog&iacute;a y Salud P&uacute;blica (CIBERESP). Madrid.    <br>(5) Programa de Epidemiolog&iacute;a Aplicada de Campo (PEAC). Centro Nacional de Epidemiolog&iacute;a, Instituto de Salud Carlos III. Madrid.</font></p>     <p><font face="Verdana" size="2">(*) Este trabajo se ha realizado en el marco del Grupo de Trabajo sobre Alcohol de la Sociedad Espa&ntilde;ola de Epidemiolog&iacute;a. Los autores agradecen la ayuda econ&oacute;mica del Plan Nacional sobre Drogas que ha contribuido a su funcionamiento (&oacute;rdenes SSI 2800/2012 y 131/2013). Para elaborar el art&iacute;culo se ha contado tambi&eacute;n con la financiaci&oacute;n de la Red de Trastornos Adictivos -RTA- (RD06/0001/1018 y RD12/0028/0018) y la Acci&oacute;n Estrat&eacute;gica de Salud (PI13/00183).</font></p>     <p><font face="Verdana" size="2">Los autores declaran no tener conflicto de intereses.</font></p>     <p><font face="Verdana" size="2"><a href="#bajo">Dirección para correspondencia</a></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p> <hr size="1">    <p><font face="Verdana" size="2"><b>RESUMEN</b></font></p>     <p><font face="Verdana" size="2">El objetivo de este trabajo es describir los principales m&eacute;todos disponibles para cuantificar los da&ntilde;os sociales y sanitarios relacionados con el alcohol en la poblaci&oacute;n y hacer recomendaciones para mejorar la investigaci&oacute;n sobre estos aspectos. Se consideran los m&eacute;todos para estudiar la naturaleza de la relaci&oacute;n entre el consumo de alcohol y los da&ntilde;os a partir de datos individuales y agregados, se&ntilde;alando sus ventajas y limitaciones. Se describen los m&eacute;todos para cuantificar la magnitud y las tendencias de los da&ntilde;os relacionados con alcohol en la poblaci&oacute;n, incluyendo dependencia, intoxicaci&oacute;n aguda, lesiones o conductas violentas, mortalidad, carga de enfermedad y costes sociales atribuibles. A menudo hay discrepancias entre los resultados de los estudios por la dificultad para medir adecuadamente el consumo y su relaci&oacute;n con las condiciones de salud. Hay que potenciar la investigaci&oacute;n sobre el efecto de patrones y contexto de consumo en las enfermedades cr&oacute;nicas utilizando grupos control adecuados, aclarar la relaci&oacute;n de la dependencia alcoh&oacute;lica con otros trastornos mentales, mejorar la medida del grado de intoxicaci&oacute;n alcoh&oacute;lica cuando se producen otros problemas agudos, cuantificar peri&oacute;dicamente la carga de enfermedad y los costes atribuibles a alcohol (usando fracciones atribuibles espec&iacute;ficas de pa&iacute;s) y desarrollar m&eacute;todos e indicadores v&aacute;lidos y comparables para monitorizar los da&ntilde;os relacionados con alcohol.</font></p>     <p><font face="Verdana" size="2"><b>Palabras clave:</b> Bebidas alcoh&oacute;licas. Trastornos relacionados con alcohol. Heridas y traumatismos. Problemas sociales. Mortalidad prematura. Carga de enfermedad. Coste de enfermedad. M&eacute;todos de investigaci&oacute;n.</font></p> <hr size="1">    ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><b>ABSTRACT</b></font></p>     <p><font face="Verdana" size="2">The aim of this paper is to describe the available methods to quantify the main health and social harms related to alcohol consumption in the population and to provide recommendations to improve research on these issues. Methods using individual and aggregate level data for the study of the relationship between alcohol consumption and related harms are taken into account, highlighting their strengths and weaknesses. Methodological aspects to quantify the magnitude and trends of alcohol-related and alcohol-attributable mortality, including alcohol dependence, acute intoxication, injury, violent behavior, disease burden and social costs are widely considered. There are often discrepancies between the study results mainly due to the difficulty of adequately measuring alcohol consumption and its relationship to health conditions. In the future we must strengthen research on the effect of drinking patterns and context in chronic diseases using appropriate controls, clarify the relationship of alcohol use disorders and other mental disorders , improve the measurement of alcohol intoxication when acute problems occurs, periodically quantify the disease burden and social costs attributable to alcohol (using country- specific attributable fractions) and develop valid and comparable methods and indicators for monitoring alcohol-related harm.</font></p>     <p><font face="Verdana" size="2"><b>Keyword:</b> Alcoholic beverages. Alcohol-related disorders. Injuries. Social problems. Premature mortality. Burden of disease. Cost of illness. Research methods.</font></p> <hr size="1">     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Introducción</b></font></p>     <p><font face="Verdana" size="2">El desarrollo y la evaluaci&oacute;n de las intervenciones de reducci&oacute;n de da&ntilde;os relacionados con alcohol en la poblaci&oacute;n exige cuantificar su magnitud y tendencias. Aunque existen lagunas y limitaciones metodol&oacute;gicas en el conocimiento de la relaci&oacute;n entre el consumo de alcohol y muchos da&ntilde;os sociosanitarios, para los m&aacute;s importantes hay estudios que permiten estimar la fuerza de la asociaci&oacute;n con una validez razonable. El problema surge al intentar cuantificar los da&ntilde;os atribuibles al alcohol en un &aacute;rea y momento dados. Como los sistemas rutinarios de informaci&oacute;n (registros de mortalidad, altas hospitalarias, accidentes o agresiones violentas) no suelen reflejar adecuadamente la magnitud de estos da&ntilde;os, para cuantificarlos hay que recurrir a m&eacute;todos indirectos.</font></p>     <p><font face="Verdana" size="2">El objetivo de este trabajo es describir los principales m&eacute;todos disponibles para cuantificar la magnitud y tendencias de los da&ntilde;os sociales y sanitarios relacionados con el consumo de alcohol y hacer recomendaciones para mejorar la investigaci&oacute;n sobre estos aspectos.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Métodos para estudiar la relación entre consumo de alcohol y los daos sociosanitarios</b></font></p>     <p><font face="Verdana" size="2"><b>M&eacute;todos con datos individuales (microdatos)</b></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">Pueden ser de dos tipos, seg&uacute;n se mida o no de forma independiente la exposici&oacute;n (uso de alcohol) y el desenlace (condici&oacute;n de salud). El primero es el m&eacute;todo ortodoxo en epidemiolog&iacute;a. Se estima el riesgo relativo (RR) de que un bebedor experimente cierto problema para un nivel de consumo dado, comparando generalmente con las personas abstemias. Se suelen usar dise&ntilde;os observacionales (cohortes, casos y controles, casos cruzados, etc&eacute;tera), controlando el efecto de potenciales variables confundidoras, como fumar tabaco, la edad o el nivel socioecon&oacute;mico. Luego los RR de distintos estudios se sintetizan mediante metan&aacute;lisis y se combinan con las prevalencias poblacionales de uso de alcohol para obtener la fracci&oacute;n atribuible poblacional al alcohol (FAP-alcohol), que es la proporci&oacute;n del problema que desaparecer&iacute;a si lo hiciera la exposici&oacute;n. Los estudios para estimar los RR tienen limitaciones, aunque muchos de sus hallazgos han sido corroborados por experimentos fisiol&oacute;gicos. Entre las principales limitaciones se encuentran:</font></p>     <p><font face="Verdana" size="2">a) El sesgo de selecci&oacute;n. La autoselecci&oacute;n de los participantes puede introducir sesgos al estimar el efecto, aunque se utilicen m&eacute;todos multivariados para controlar la confusi&oacute;n, porque a menudo hay confundidores no medidos. Adem&aacute;s, en los estudios de cohortes se suele reclutar a los participantes intentando minimizar las p&eacute;rdidas de seguimiento no incluyendo a aqu&eacute;llos con m&aacute;s dificultades para ser localizados, por lo que la muestra puede no representar los patrones de consumo de la poblaci&oacute;n. Tambi&eacute;n se suelen incluir pocas mujeres, por lo que sus RR suelen ser imprecisos.</font></p>     <p><font face="Verdana" size="2">b) El uso de medidas de consumo o grupos control inadecuados. En cuanto a las mediciones de la exposici&oacute;n, en los estudios de casos cruzados que comparan el consumo poco antes del evento con el consumo habitual del mismo sujeto, el autoinforme subestima m&aacute;s este &uacute;ltimo, lo que provoca una sobreestimaci&oacute;n del efecto<sup>1</sup>. En el caso de eventos agudos (lesiones) no es adecuado usar el consumo promedio para estimar el efecto, siendo preferible la medida de la concentraci&oacute;n de alcohol en sangre (CAS) tras el evento o el consumo autoinformado poco antes del mismo<sup>2,3</sup>. En los estudios de cohortes la asunci&oacute;n de que la medida basal del consumo no cambia durante el seguimiento puede provocar una estimaci&oacute;n inadecuada del efecto cuando el desenlace (mortalidad, enfermedades cr&oacute;nicas) se mide muchos a&ntilde;os despu&eacute;s de la l&iacute;nea basal. Con respecto al uso de grupos control inadecuados, el problema m&aacute;s frecuente se da cuando los RR se calculan con respecto al conjunto de abstemios. Este proceder tiende a sobreestimar el efecto protector de los bajos niveles de consumo y a subestimar el efecto negativo de los niveles altos debido a que entre los abstemios hay antiguos bebedores que han dejado el alcohol por presentar problemas relacionados con esta sustancia. En consecuencia, tienen riesgo m&aacute;s alto de muerte por todas las causas y por coronariopat&iacute;a y peor salud percibida que quienes han sido abstemios toda la vida o lo han sido de larga duraci&oacute;n<sup>4-9</sup>.</font></p>     <p><font face="Verdana" size="2">c) Los errores al medir el desenlace (mortalidad, morbilidad, incapacidad, calidad de vida, etc&eacute;tera)<sup>5</sup>. Pueden ser importantes, sobre todo para morbilidad y discapacidad, pero quedan fuera del marco de este trabajo<sup>10</sup>.</font></p>     <p><font face="Verdana" size="2">En el segundo m&eacute;todo la exposici&oacute;n y el desenlace no se miden independientemente, sino que se recogen hechos que el sujeto atribuye al alcohol, por ejemplo: &#171;Ha tenido alguna pelea como consecuencia del consumo de alcohol&#187;<sup>11-13</sup>. Te&oacute;ricamente permite obtener la prevalencia de ciertas consecuencias adversas del uso de alcohol, generalmente agudas (accidentes, discusiones o peleas, problemas familiares, laborales, escolares, sociales, sexo no deseado o sin protecci&oacute;n, etc&eacute;tera). El m&eacute;todo puede ser &uacute;til para cribar posibles trastornos por uso de alcohol (TUA) o para dise&ntilde;ar intervenciones preventivas, pero tiene muchas limitaciones para estimar la magnitud de la morbilidad atribuible al consumo de alcohol o monitorizar las tendencias de los problemas relacionados con &eacute;l<sup>14,15</sup>. La causalidad percibida que puede ser influida por factores culturales, socioecon&oacute;micos, patrones de uso de alcohol, sesgo de recuerdo diferencial (los que tienen el problema recuerdan mejor el consumo), etc&eacute;tera<sup>16,17</sup>. A veces se han encontrado discrepancias entre las tendencias del consumo y las de los problemas percibidos relacionados con el alcohol<sup>18</sup>.</font></p>     <p><font face="Verdana" size="2"><b>Métodos con datos agregados</b></font></p>     <p><font face="Verdana" size="2">Se usan datos agregados sobre consumo de alcohol (por ejemplo consumo <i>per c&aacute;pita</i>) y sobre da&ntilde;os (por ejemplo tasas de mortalidad general o por causa) referidos a toda la poblaci&oacute;n o a ciertos subgrupos y se observa en qu&eacute; medida se correlacionan entre s&iacute;. Esto puede hacerse en un momento dado para varias &aacute;reas o mejor para un &aacute;rea a lo largo del tiempo<sup>19</sup>. Se asume que en la poblaci&oacute;n el nivel de consumo individual sigue una distribuci&oacute;n sesgada a la derecha (aproximadamente log-normal), que existe fuerte relaci&oacute;n entre el consumo promedio y la prevalencia poblacional de consumo excesivo regular, que los cambios en dicho promedio se acompa&ntilde;an de cambios en todos los niveles de consumo y que existe estabilidad del efecto en el tiempo. Estas asunciones no siempre se cumplen. Los datos se suelen analizar con modelos <i>Autoregressive Integrated Moving Average</i> (ARIMA) &#171;diferenci&aacute;ndolos&#187; antes. Es decir, en vez de analizar la correlaci&oacute;n entre los valores absolutos de las series M (tasa de mortalidad) y A (consumo <i>per c&aacute;pita</i> de alcohol en litros) se analiza la correlaci&oacute;n entre los cambios temporales de ambas series (&#8711;Mt y &#8711;At, donde &#8711;At=At-At-1). As&iacute; se reduce la probabilidad de que el efecto sobre el desenlace se explique por variables confundidoras no medidas, ya que es m&aacute;s probable que se relacionen con A y M debido a tendencias comunes que a la sincronizaci&oacute;n de los cambios temporales. Generalmente se toma el logaritmo del desenlace, por ejemplo: &#8711;lnMt=&#946;*(&#8711;At)+&#8711;Nt, donde N es un t&eacute;rmino de ruido que recoge la tendencia en la mortalidad debida a factores no considerados en el modelo y errores de medida, y &#946; el estimador del efecto que permite obtener medidas como el porcentaje de cambio anual (PCA) de M asociado al cambio de 1-litro en el consumo &#091;PCA=(e&#946;-1)*100&#093;. Se puede considerar el per&iacute;odo de latencia entre A y M ponderando A por el consumo presente y pasado<sup>19-25</sup>. Los m&eacute;todos agregados tienen la ventaja de considerar las consecuencias del consumo del alcohol para otras personas (por ejemplo lesiones) y de los factores contextuales del consumo. Adem&aacute;s, las estimaciones del efecto son espec&iacute;ficas y representativas de un pa&iacute;s y no basadas en estudios hechos en otra parte o en muestras poco representativas. Su principal limitaci&oacute;n es la dificultad para controlar la confusi&oacute;n y para desagregar seg&uacute;n edad y sexo. Adem&aacute;s, dada su naturaleza ecol&oacute;gica, no permiten establecer relaciones de causalidad. Por otra parte, no suelen estimar el efecto independiente de los patrones de consumo, en particular los atracones (a menudo definidos como el consumo de 5-6 unidades est&aacute;ndar de alcohol en un corto periodo, por ejemplo dos horas)<sup>21</sup>. A las evidencias procedentes de estos m&eacute;todos se les suele dar menos valor que a las de estudios con datos individuales. Sin embargo, a veces son contundentes y dif&iacute;ciles de obtener de otro modo. Por ejemplo, tras la campa&ntilde;a anti-alcohol de Gorbachov se observ&oacute; un gran descenso de las muertes por todas las causas que correlacion&oacute; muy bien con el descenso del consumo (en Rusia, generalmente se consume en forma de atrac&oacute;n) y que no se explica por cambios en la certificaci&oacute;n y registro de muertes o en otros factores<sup>26</sup>. En cambio, los resultados de otros estudios ecol&oacute;gicos son dif&iacute;ciles de interpretar al no controlarse el efecto confusi&oacute;n de determinadas variables. De hecho, estos estudios no han detectado el efecto ben&eacute;fico del consumo moderado sobre el sistema cardiovascular encontrado en los estudios individuales y corroborado en los estudios fisiol&oacute;gicos.</font></p>     <p><font face="Verdana" size="2"><b>Muertes relacionadas con alcohol (MRA)</b></font></p>     <p><font face="Verdana" size="2">Son aquellas en que el consumo de alcohol es una causa necesaria o contribuyente importante. Se estiman directamente usando solo las estad&iacute;sticas de mortalidad. Las categor&iacute;as de la Clasificaci&oacute;n Internacional de Enfermedades (CIE) incluidas var&iacute;an entre pa&iacute;ses. Siempre se incluyen las muertes completamente atribuibles a alcohol (MCAA), que son aquellas con una FAP-alcohol de 1 (el alcohol es causa necesaria) (<b><a href="#t2">tabla 2</a></b>)<sup>27,28</sup>. La tasa de MCAA en un &aacute;rea deber&iacute;a ser un indicador de la extensi&oacute;n y gravedad de los problemas relacionados con alcohol, pero a menudo est&aacute;n subregistradas porque el m&eacute;dico no detecta el problema o porque se certifican o codifican en otras categor&iacute;as. Por ejemplo, hay muchas muertes por complicaciones de TUA y sin embargo este trastorno se refleja con poca frecuencia en la causa b&aacute;sica de defunci&oacute;n. Adem&aacute;s, el grado de subregistro de las MCAA probablemente var&iacute;a considerablemente entre &aacute;reas geogr&aacute;ficas, por lo que no es adecuado usar las tasas MCAA estandarizadas para hacer comparaciones geogr&aacute;ficas. En cambio podr&iacute;an usarse para estimar las tendencias temporales y, eventualmente, evaluar las pol&iacute;ticas de reducci&oacute;n del da&ntilde;o si puede asumirse que las pr&aacute;cticas de certificaci&oacute;n y codificaci&oacute;n no han variado sustancialmente en el tiempo. En cualquier caso, las MCAA subestiman mucho la contribuci&oacute;n global del alcohol a la mortalidad porque no incluyen condiciones en que el alcohol es una causa contribuyente importante, pero no la causa necesaria (por ejemplo 0,3&lt;FAP&#8804;1), como accidentes (V00-Y99), c&aacute;ncer de es&oacute;fago (C15), c&aacute;ncer de laringe (C32), hepatopat&iacute;as cr&oacute;nicas (K73-K74) e inespec&iacute;ficas (K76), etc&eacute;tera<sup>28,29</sup>. Al a&ntilde;adir estas condiciones, las MRA pueden subestimar o sobreestimar dicha contribuci&oacute;n dependiendo de qu&eacute; c&oacute;digos se incluyan. Las MRA pueden usarse tambi&eacute;n para estimar las tendencias temporales de los da&ntilde;os relacionados con alcohol, asegur&aacute;ndose de que los cambios en algunas MRA no se explican por otros factores. Por ejemplo, los cambios en las muertes por cirrosis hep&aacute;tica podr&iacute;an reflejar un aumento de los da&ntilde;os relacionados con alcohol o con la hepatitis v&iacute;rica<sup>30</sup>. Lo m&aacute;s razonable para monitorizar dichas tendencias ser&iacute;a usar varios subconjuntos de causas de MRA, preferentemente con FAP medias o altas, separando causas agudas (por ejemplo lesiones intencionadas y accidentales) y cr&oacute;nicas. Si hay consistencia entre los subconjuntos es probable que se trate de la tendencia de la mortalidad atribuible a alcohol<sup>10</sup>.</font></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p align="center"><font face="Verdana" size="2"><a name="t1"><img src="/img/revistas/resp/v88n4/03_colaboracion2_tabla1.jpg"></a></font></p>     <p>&nbsp;</p>     <p align="center"><font face="Verdana" size="2"><a name="t2"><img src="/img/revistas/resp/v88n4/03_colaboracion2_tabla2.jpg"></a></font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Muertes atribuibles a alcohol (MAA)</b></font></p>     <p><font face="Verdana" size="2">Son las muertes estimadas teniendo en cuenta las MRA y podr&iacute;an prevenirse si se eliminara el uso de alcohol. Se estiman indirectamente a partir de las estad&iacute;sticas de mortalidad y otros estudios. Primero se obtiene el RR o efecto del alcohol en cada categor&iacute;a de muerte CIE en que hay evidencias de que el alcohol es causa contribuyente importante y la FAP para esa categor&iacute;a. Luego se obtienen las muertes de esa categor&iacute;a CIE atribuibles a alcohol y se suman las correspondientes a todas las categor&iacute;as relevantes<sup>31,32</sup>. Los algoritmos se incluyen en la <b><a href="#t2">tabla 2</a></b>. El programa ARDI, de acceso libre, puede facilitar las estimaciones<sup>33</sup>. Hay dos m&eacute;todos para obtener los RR. El primero los calcula con datos individuales y es el usado en la mayor&iacute;a de los estudios, incluido el estudio sobre carga global de enfermedad de la Organizaci&oacute; Mundial de la Salud (OMS)<sup>10,31,32,34</sup>. Las FAP para accidentes y agresiones se obtienen directamente a partir de la proporci&oacute;n que supera cierta CAS (generalmente &#8805;1 g/l) en series de casos, para las MCAA son por definici&oacute;n 1 y para otras MRA se obtienen indirectamente combinando los RR publicados con datos locales de prevalencia de consumo extra&iacute;dos de encuestas poblacionales. Se han publicado tablas de RR para distintos problemas de salud seg&uacute;n sexo y nivel de consumo procedentes de metan&aacute;lisis y estudios observacionales (casos-control, cohortes y casos cruzados)<sup>5,10,35-39</sup>. Si no se dispone de prevalencias de consumo para el a&ntilde;o de inter&eacute;s se pueden estimar a partir de a&ntilde;os previos usando las estad&iacute;sticas de compraventa de alcohol. Se recomienda obtener las FAP para el &aacute;rea de inter&eacute;s y no usar las de otros pa&iacute;ses, porque dependen de la prevalencia de consumo<sup>10</sup>. Los RR, en cambio, se consideran mucho m&aacute;s &#171;universales&#187; y son trasladables a otros pa&iacute;ses para la mayor parte de las causas de muerte. Las comparaciones temporoespaciales deber&iacute;an hacerse con tasas MAA (totales o por grupos de causas), estandarizadas por edad y sexo en la poblaci&oacute;n mayor de 15 a&ntilde;os o de 15 a 64 a&ntilde;os, obtenidas con la misma metodolog&iacute;a en todos los puntos comparados<sup>10</sup>. Los intervalos de confianza de la MAA pueden obtenerse estimando la varianza con m&eacute;todos de propagaci&oacute;n del error o mejor con la aproximaci&oacute;n de Monte Carlo, que genera muestras aleatorias de los par&aacute;metros de m&aacute;s bajo nivel que intervienen en el algoritmo<sup>40</sup>.</font></p>     <p><font face="Verdana" size="2">Al interpretar los resultados hay que considerar las limitaciones metodol&oacute;gicas que, en general, tienden a subestimar las MAA<sup>41,42</sup>. Ya se mencionaron las que afectan al RR, pero hay otras que afectan a las FAP como: a) la subestimaci&oacute;n del consumo. Las encuestas, que generalmente usan autoinforme y parrillas de cantidad-frecuencia, solo recogen un 40-60% del consumo <i>per c&aacute;pita</i> derivado de las estad&iacute;sticas de compraventa, lo que conduce a subestimar la prevalencia en todos los niveles de consumo sobre todo en los altos, debido fundamentalmente a que los informantes no suelen incluir los atracones al estimar el promedio<sup>5,43,44</sup> y a que los que no participan en las encuestas (exclusi&oacute;n de marco, no hallarse en domicilio, negativa, etc&eacute;tera) suelen consumir m&aacute;s que los participantes<sup>45</sup>. Para obtener estimaciones v&aacute;lidas se est&aacute; proponiendo corregir las prevalencias de consumo multiplicando por un factor que recoja la subestimaci&oacute;n de las encuestas con respecto al consumo per c&aacute;pita de las estad&iacute;sticas de compraventa pero solo hasta el 85% de estas &uacute;ltimas cifras, ya que suelen sobreestimar ligeramente el consumo real. El efecto de la correcci&oacute;n puede ser espectacular<sup>42</sup>. Por ejemplo, en Francia en 2006 se estimaron 7.000 MAA que se transformaron en 20.000 tras corregir<sup>46</sup>. b) La no consideraci&oacute;n de los patrones de consumo (en especial atracones). En este sentido se sabe que la frecuencia e intensidad de los atracones afecta bastante al riesgo de ciertas enfermedades cr&oacute;nicas, como las cardiovasculares, independientemente del consumo promedio, y puede neutralizar el efecto protector de los niveles bajos o moderados de consumo<sup>32,42,47-51</sup>. c) La no inclusi&oacute;n de posibles causas de MRA y la escasa desagregaci&oacute;n de los c&aacute;lculos por edad, sexo y nivel de consumo al no disponerse de estimaciones precisas de los RR<sup>52</sup>. En este sentido se han observado diferencias de efecto por g&eacute;nero para coronariopat&iacute;a<sup>53</sup>, cirrosis hep&aacute;tica<sup>54</sup> e ictus hemorr&aacute;gico e isqu&eacute;mico<sup>55</sup>. Por otra parte, establecer topes m&aacute;ximos en la distribuci&oacute;n de consumo de alcohol (<i>capping</i>), por ejemplo 150 g/d&iacute;a, puede contribuir a subestimar la MAA sobre todo en hombres<sup>56</sup>. d) El uso de RR referidos a morbilidad y no a mortalidad, y la asunci&oacute;n de que los RR son similares entre culturas o pa&iacute;ses. Esto &uacute;ltimo puede ser m&aacute;s problem&aacute;tico para categor&iacute;as, como trastornos mentales o suicidio, que resultan m&aacute;s afectadas por confundidores no medidos dependientes del contexto social y cultural<sup>57</sup>, aunque el efecto sobre otras causas de muerte podr&iacute;a tambi&eacute;n modificarse por otros factores como la dieta<sup>10</sup>. e) La no consideraci&oacute;n del periodo de latencia entre exposici&oacute;n y desenlace. Generalmente al estimar el efecto del alcohol sobre enfermedades cr&oacute;nicas, como el c&aacute;ncer, se asume que el consumo reciente (&uacute;ltimo a&ntilde;o) ha sido similar en el pasado (20-30 a&ntilde;os atr&aacute;s), lo que puede sesgar los resultados. f) La no inclusi&oacute;n de los efectos del alcohol sobre no bebedores. En un estudio en EEUU se estim&oacute; que si en los eventos mortales y graves relacionados con alcohol no se cuentan las v&iacute;ctimas con CAS negativa se subestiman las lesiones accidentales atribuibles a alcohol en un 7% (11% si son de tr&aacute;fico) y las intencionadas en un 14%<sup>58</sup>.</font></p>     <p><font face="Verdana" size="2">Las estimaciones con datos agregados proceden sobre todo del norte y este de Europa. Se suelen aplicar modelos de regresi&oacute;n ARIMA a series anuales de datos de consumo per <i>c&aacute;pita</i> de alcohol y tasas de mortalidad general o por causa<sup>19-21,59</sup>. Las FAP se estiman como FAP=1-e<sup>(-&#946;*A)</sup>, siendo A el consumo medio anual per c&aacute;pita durante el per&iacute;odo considerado y &#946; la pendiente del modelo de regresi&oacute;n. Como estos m&eacute;todos recogen el efecto del alcohol sobre personas distintas al consumidor, hay quien los prefiere para estimar las FAP de las lesiones intencionadas<sup>57</sup>.</font></p>     <p><font face="Verdana" size="2"><b>Dependencia y trastorno por uso de alcohol (TUA)</b></font></p>     <p><font face="Verdana" size="2">Las estimaciones de prevalencia poblacional de TUA (o de diversos componentes del mismo) proceden de escalas estandarizadas incluidas en encuestas. Existen bastantes escalas de cribado con alta sensibilidad para detectar un posible TUA o dependencia alcoh&oacute;lica<sup>60,61</sup> (<b><a href="#t3">tabla 3</a></b>). Quiz&aacute; las m&aacute;s usadas son <i>Alcohol Use Disorders Identification Test</i> (AUDIT)<sup>62-65</sup> y <i>Cut down, Annoyed, Guilty and Eye opener</i> (CAGE)<sup>66</sup>, aunque esta &uacute;ltima no se refiere a un per&iacute;odo reciente. Para obtener diagn&oacute;sticos m&aacute;s precisos o valorar la gravedad del TUA se suelen usar el <i>Composite International Diagnostic Interview-Substance Abuse Module</i> (CIDI-SAM), la operativizaci&oacute;n de los criterios de CIE-10 o DSM-IV o <i>Diagnostic and Statistical Manual of Mental Disorders</i> (DSM-5) o instrumentos como <i>Psychiatric Research Interview for Substance and Mental Disorders</i> (PRISM), <i>Primary Care Evaluation of Mental Disorders</i> (PRIME-MD), <i>Alcohol Use Disorder and Associated Disabilities Interview schedule</i> (AUDADIS ), <i>Schedules for Clinical Assessment in Neuropsychiatry</i> (SCAN). Estas escalas suelen ser semiestructuradas y han de ser administradas por personal m&aacute;s especializado<sup>10,61,67-70</sup>. El DSM-5 permite diagnosticar TUA con &#8805; 2 criterios positivos de 11 posibles, clasific&aacute;ndolo luego en leve, moderado o grave seg&uacute;n el n&uacute;mero de criterios positivos<sup>71</sup>. A menudo hay limitaciones para comparar la prevalencia de TUA de distintos estudios por diferencias en las caracter&iacute;sticas de la muestra y en las escalas usadas y porque la respuesta puede estar influida por la percepci&oacute;n del riesgo ante el consumo, el sesgo de deseabilidad social y otros factores<sup>72</sup>.</font></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p align="center"><font face="Verdana" size="2"><a name="t3"><img src="/img/revistas/resp/v88n4/03_colaboracion2_tabla3.jpg"></a></font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2">Aunque los registros de admisiones a tratamiento y altas por TUA subestiman el problema (ya que hay muchos afectados que no piden tratamiento), en teor&iacute;a podr&iacute;an usarse para estimar las tendencias de la incidencia y prevalencia de este trastorno<sup>73-76</sup>. Sin embargo, en la pr&aacute;ctica los datos son dif&iacute;ciles de interpretar porque pueden ser influidos por cambios en la oferta y pol&iacute;ticas de tratamiento, criterios diagn&oacute;sticos y de selecci&oacute;n de episodios as&iacute; como de cobertura de los registros. Es m&aacute;s factible usarlos para examinar el perfil de las personas con TUA. En cualquier caso los estudios seriados en muestras de usuarios de servicios de salud (por ejemplo, atenci&oacute;n primaria, servicios de medicina interna, etc&eacute;tera) usando AUDIT, CAGE y otros test de cribado o diagn&oacute;stico<sup>70,77,78</sup>, son interesantes porque revelan la importancia y tendencia del problema y permiten implementar intervenciones individuales breves o m&aacute;s intensivas para reducir el consumo<sup>79-81</sup>. Muchos profesionales de salud tienen dificultades para identificar y registrar los TUA en los pacientes, especialmente si todav&iacute;a no est&aacute;n muy graves<sup>47,82</sup>. Aunque se han propuesto numerosos biomarcadores de problemas relacionados con el alcohol, la detecci&oacute;n del consumo excesivo y TUA en la cl&iacute;nica sigue bas&aacute;ndose preferentemente en la anamnesis y uso de escalas estandarizadas<sup>64,83-85</sup>. Otra alternativa para identificar las tendencias de TUA es analizar datos de uso de servicios a causa de este problema procedentes de encuestas poblacionales<sup>86</sup>.</font></p>     <p><font face="Verdana" size="2"><b>Intoxicación etílica aguda (IEA)</b></font></p>     <p><font face="Verdana" size="2">La prevalencia de IEA en poblaci&oacute;n general suele obtenerse mediante autoinforme a partir de encuestas<sup>75,87,88</sup>, por lo que las estimaciones pueden variar seg&uacute;n las definiciones, las preguntas usadas y los factores culturales<sup>89,90</sup>. Sin embargo, este indicador suele ser un buen predictor de las consecuencias sociales, s&iacute;ntomas de dependencia y da&ntilde;os relacionados con alcohol<sup>91</sup>, por lo que si la metodolog&iacute;a se mantiene, puede dar indicaciones &uacute;tiles sobre las tendencias de estos problemas. En general la prevalencia de borrachera suele correlacionar bien con la prevalencia de atracones. Alternativamente las caracter&iacute;sticas y tendencias de las IEA m&aacute;s graves pueden obtenerse de los casos atendidos en servicios sanitarios, sobre todo urgencias<sup>92-96</sup>, recogiendo retrospectivamente los datos de la historia cl&iacute;nica o los informes de alta en el marco de la monitorizaci&oacute;n del uso de drogas psicoactivas<sup>97-99</sup>, las intoxicaciones por sustancias<sup>100,101</sup> o las urgencias en general<sup>102</sup>.</font></p>     <p><font face="Verdana" size="2">El diagn&oacute;stico se basa en la observaci&oacute;n de manifestaciones cl&iacute;nicas de IEA y an&aacute;lisis de CAS<sup>103</sup>, entre los que suele haber un grado de concordancia moderado. Algunos pa&iacute;ses usan c&oacute;digos adicionales CIE-10 para registrar diagn&oacute;sticos de IEA clasificados seg&uacute;n nivel de CAS o de intoxicaci&oacute;n junto a otros como lesiones accidentales<sup>104</sup>. La recogida de las IEA en urgencias es costosa, aunque la historia cl&iacute;nica electr&oacute;nica puede facilitar la tarea. El principal problema de este enfoque es que las tendencias del indicador pueden resultar afectadas por cambios en la cobertura, oferta y uso de los servicios monitorizados. Adem&aacute;s no suelen existir protocolos bien establecidos, por lo que a menudo los estudios son poco comparables en cuanto a criterios de selecci&oacute;n de episodios, definici&oacute;n de variables y procedimientos de recogida de datos. A veces en las encuestas poblacionales se pregunta por el uso de servicios de urgencias y luego por el consumo o no de alcohol en las seis horas previas<sup>105</sup>, pero no suele incluirse la IEA como un diagn&oacute;stico espec&iacute;fico.</font></p>     <p><font face="Verdana" size="2"><b>Lesiones y conductas violentas relacionadas con alcohol</b></font></p>     <p><font face="Verdana" size="2">La mayor&iacute;a de las evidencias proceden de estudios transversales, estudios casos y controles o casos cruzados sobre lesionados muertos o atendidos en urgencias<sup>106-110</sup>. Se han desarrollado gu&iacute;as metodol&oacute;gicas con los elementos clave para hacer estudios en urgencias<sup>111</sup>. En los estudios de casos y controles la muestra deber&iacute;a ser representativa de los d&iacute;as de la semana y las horas del d&iacute;a, y los controles deber&iacute;an proceder de la misma poblaci&oacute;n que los casos. Se pueden usar controles hospitalarios (pacientes no lesionados atendidos a la vez que los casos) o comunitarios (sujetos del &aacute;rea de atracci&oacute;n del centro, generalmente pareados por edad y sexo con los casos), en los que se investiga el consumo en el mismo per&iacute;odo. Los controles hospitalarios suelen subestimar el efecto al tener un consumo de alcohol mayor que la poblaci&oacute;n general<sup>111</sup>, pero los comunitarios son muy costosos y no necesariamente mejores que los hospitalarios<sup>112</sup>. Hay dos tipos de estudios de casos cruzados, los de intervalos pareados donde el consumo en un per&iacute;odo previo al evento (por ejemplo 3 horas) se compara con el de un per&iacute;odo similar del d&iacute;a o semana anterior, y los de frecuencia habitual donde se compara el per&iacute;odo previo al evento con el consumo promedio de un per&iacute;odo similar del &uacute;ltimo mes o a&ntilde;o, estimado a partir de parrillas de cantidad-frecuencia<sup>109,111</sup>. El consumo previo al evento se mide con an&aacute;lisis en aire espirado, sangre o saliva a la llegada a urgencias o con autoinforme referido a 3-6 horas previas. El grado de concordancia entre consumo autoinformado y CAS suele ser moderado<sup>2,113</sup>.</font></p>     <p><font face="Verdana" size="2">Las principales limitaciones de los estudios en urgencias son las siguientes<sup>111-113</sup>: a) Falta de representatividad de los participantes, que pueden diferir de otros lesionados del &aacute;rea de atracci&oacute;n, lo que limita la generalizaci&oacute;n de los resultados. Por ello no se recomienda derivar las FAPs-alcohol de lesiones &uacute;nicamente a partir de estudios en urgencias, b) Sesgos de selecci&oacute;n. Ya se ha comentado el problema de los controles hospitalarios<sup>111,112</sup>. c) Errores de medida del consumo de alcohol. Tanto el autoinforme como el CAS tienden a subestimar el consumo. El primero por problemas de memoria, deseabilidad social, miedo a implicaciones legales, etc&eacute;tera, y el segundo porque es posterior al evento (se suele hacer en las 6 horas siguientes), por lo que la CAS puede no representar el estado de intoxicaci&oacute;n en el momento de producirse. Adem&aacute;s, la persona lesionada podr&iacute;a haber bebido despu&eacute;s del mismo<sup>94</sup>. Como normalmente se recuerda mejor el consumo previo al evento que en otros per&iacute;odos, los estudios de casos cruzados tienden a sobreestimar el efecto sobre todo con la modalidad de frecuencia habitual<sup>112</sup>. d) Confusi&oacute;n no medida. A veces no se controla por confundidores importantes como actividad del lesionado durante el evento, uso de otras drogas psicoactivas, patrones habituales de bebida, etc&eacute;tera. Parece que la misma cantidad de alcohol consumida en un corto per&iacute;odo (consumo agudo) expone a mayor riesgo a los consumidores espor&aacute;dicos que a los habituales, debido seguramente a diferencias de tolerancia, contexto y lugar de consumo, etc&eacute;tera<sup>114</sup>. Esto podr&iacute;a explicar en parte las diferencias de resultados entre estudios por lo que se est&aacute; considerando obtener RR para distintos tipos de bebedores<sup>112</sup>. El dise&ntilde;o de casos cruzados elimina la confusi&oacute;n de las caracter&iacute;sticas fijas del sujeto, pero no de las cambiantes en el tiempo. Por ejemplo, es posible que los pacientes con episodios de depresi&oacute;n aumenten su consumo de alcohol, lo que puede confundir la relaci&oacute;n entre consumo y suicidio<sup>109</sup>. Por otro lado, este dise&ntilde;o no permite abordar el efecto de los patrones habituales de consumo. e) No consideraci&oacute;n del efecto del consumo de alcohol en las lesiones de personas distintas al bebedor.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">En cuanto a los estudios sobre lesiones mortales con datos individuales hay que se&ntilde;alar que aunque se hacen an&aacute;lisis CAS a todos o casi todos los fallecidos por lesiones, a veces se hacen bastante despu&eacute;s de la muerte y suelen subestimar el consumo real<sup>3,115</sup>. Adem&aacute;s, a menudo los resultados no se integran en los registros policiales de accidentes o en las estad&iacute;sticas de mortalidad basadas en la CIE o el acceso a los mismos es dif&iacute;cil<sup>10</sup>. La mayor parte de estos estudios se refieren a accidentes de tr&aacute;fico y han utilizado como fuentes de datos los registros policiales, forenses o una combinaci&oacute;n de ambos<sup>3,107,116-121</sup>. Los que han usado como controles a personas lesionadas no fallecidas pueden subestimar la asociaci&oacute;n por la posible implicaci&oacute;n del alcohol en las lesiones de los controles. Adem&aacute;s, como sucede en urgencias, los resultados pueden estar confundidos por los patrones de consumo habitual, uso de otras drogas psicoactivas, comorbilidad psiqui&aacute;trica (por ejemplo depresi&oacute;n en los suicidios) y otros factores. Hay que reconocer, no obstante, que el ajuste por variables que est&aacute;n en la cadena causal entre el alcohol y la lesi&oacute;n puede producir estimaciones sesgadas del efecto.</font></p>     <p><font face="Verdana" size="2">Los estudios con datos agregados generalmente analizan la correlaci&oacute;n temporal o espacial entre el consumo de alcohol <i>per c&aacute;pita</i> y la tasa de lesiones o muertes violentas. Han puesto de manifiesto que el efecto del alcohol sobre estos desenlaces depende de los patrones y la cultura de consumo de cada pa&iacute;s, siendo la asociaci&oacute;n m&aacute;s fuerte donde los atracones predominan sobre el consumo regular, como en el norte y centro de Europa<sup>122-125</sup>. Como se indic&oacute;, a partir de estos estudios se puede obtener el porcentaje de cambio en la frecuencia del problema por litro de alcohol consumido o combinar este porcentaje con el nivel total de consumo para encontrar la FAP-alcohol espec&iacute;fica del pa&iacute;s para ese problema<sup>20</sup>. Tienen la ventaja de incluir todos los posibles mecanismos causales entre consumo de alcohol y desenlace, desde la intoxicaci&oacute;n del perpetrador de un homicidio hasta la de la v&iacute;ctima o el contexto potencialmente violento del consumo. Sin embargo, tienen muchas limitaciones para controlar la confusi&oacute;n<sup>57</sup>.</font></p>     <p><font face="Verdana" size="2">Con el fin de monitorizar el problema y evaluar el impacto de las pol&iacute;ticas preventivas hay que utilizar indicadores con metodolog&iacute;a que se mantenga en el tiempo sin cambios importantes. Se han propuesto las siguientes:</font></p>     <p><font face="Verdana" size="2">a) Las lesiones o conductas violentas con implicaci&oacute;n de alcohol registradas por servicios. Se extraen de historias cl&iacute;nicas, registros de urgencias, hospitales, m&eacute;dicos forenses o polic&iacute;a<sup>97,126-128</sup>. Los informes forenses suelen tener una validez alta porque cuentan con datos de CAS y a veces con los antecedentes de consumo, aunque no suele ser f&aacute;cil acceder a ellos y a veces es dif&iacute;cil distinguir entre lesiones accidentales e intencionadas (suicidio, homicidio). En algunos pa&iacute;ses tambi&eacute;n pueden tener una validez aceptable los registros de accidentes de tr&aacute;fico<sup>127</sup>. En los dem&aacute;s casos el valor de estos indicadores suele ser limitado porque no se aplican procedimientos sistem&aacute;ticos para evaluar el uso de alcohol (autoinforme, CAS, aire espirado, tests de sobriedad, etc&eacute;tera) ni codifican los eventos y con frecuencia se producen cambios poco documentados en la cobertura de los registros o en la oferta o actividad de los servicios. En general suelen subestimar bastante la implicaci&oacute;n del alcohol<sup>10,94,129</sup>.</font></p>     <p><font face="Verdana" size="2">En los servicios de atenci&oacute;n sanitaria, la historia cl&iacute;nica subestima menos la implicaci&oacute;n del alcohol que los diagn&oacute;sticos de los registros de altas<sup>130</sup>. La realizaci&oacute;n sistem&aacute;tica de an&aacute;lisis de CAS en servicios de urgencia o policiales a las personas lesionadas es cara y ha de realizarse en las primeras horas tras el evento. En urgencias puede ser factible hacer encuestas peri&oacute;dicas con entrevista y eventualmente an&aacute;lisis a los pacientes lesionados, aunque tambi&eacute;n son caras.</font></p>     <p><font face="Verdana" size="2">b) Las lesiones y conductas violentas con implicaci&oacute;n de alcohol autoinformadas en encuestas poblacionales. Se puede preguntar por la ocurrencia del evento y luego por el uso de alcohol poco antes del mismo o por los problemas que el sujeto atribuye al consumo de alcohol. A su vez las preguntas pueden referirse a problemas padecidos o a los que han motivado la intervenci&oacute;n de servicios sanitarios (urgencias, atenci&oacute;n primaria) o legales<sup>105,131</sup>. En general, se recogen pocos casos, los menos graves, subestim&aacute;ndose la implicaci&oacute;n del alcohol<sup>10</sup>. En el caso de las conductas violentas se suele preguntar por la violencia sufrida (por ejemplo lesiones sufridas estando el agresor bajo los efectos del alcohol o tras consumir alcohol el agredido en las 4-6 horas anteriores al evento) o por la percepci&oacute;n general de la extensi&oacute;n de estos problemas.</font></p>     <p><font face="Verdana" size="2">c) Aplicaci&oacute;n de FAP a lesiones y conductas. Puede hacerse para lesiones mortales o para lesiones no mortales o conductas violentas registradas en servicios (urgencias, altas hospitalarias, polic&iacute;a) o autoinformadas en encuestas poblacionales (violaciones, robos, agresiones, violencia dom&eacute;stica, etc&eacute;tera). Esto exige obtener peri&oacute;dicamente las FAP espec&iacute;ficas para el &aacute;rea<sup>129</sup>, sobre todo para lesiones intencionadas, donde el efecto del alcohol depende mucho de factores socioculturales. Las FAP pueden obtenerse indirectamente a partir de RR estimados con estudios anal&iacute;ticos<sup>40,132</sup> o directamente mediante atribuci&oacute;n subjetiva de causalidad<sup>13</sup> o a partir de series de casos asumiendo que el alcohol causa el evento cuando la CAS o la cantidad consumida poco antes del mismo supera un nivel dado (0,8-1 g/l, para accidentes de tr&aacute;fico)<sup>12,133-136</sup>. En este &uacute;ltimo caso la representatividad temporoespacial (d&iacute;a de la semana y hora del d&iacute;a) de la muestra es crucial<sup>111</sup>. En general, las FAP estimadas con atribuci&oacute;n subjetiva son m&aacute;s altas que las estimadas con el m&eacute;todo tradicional (atribuci&oacute;n objetiva). La primera tiene limitaciones pero no precisa grupo control<sup>13</sup>. En cualquier caso, para que las tendencias sean v&aacute;lidas las muestras han de ser representativas de la poblaci&oacute;n de referencia o al menos no ha de haber cambios temporales importantes en los criterios de selecci&oacute;n y en la metodolog&iacute;a. Para estimar las lesiones atribuibles a alcohol las ca&iacute;das en personas mayores de 65 a&ntilde;os no suelen incluirse en los c&aacute;lculos<sup>10</sup>.</font></p>     <p><font face="Verdana" size="2">d) Las variables indicadoras de alta implicaci&oacute;n de alcohol. Son subconjuntos de episodios definidos en t&eacute;rminos de tiempo y lugar que seg&uacute;n estudios previos est&aacute;n altamente relacionados con el uso de alcohol, como lesiones por peleas nocturnas, accidentes de tr&aacute;fico nocturnos sin implicaci&oacute;n de otro veh&iacute;culo u ocurridos los viernes y s&aacute;bados de 0 a 4 horas en varones j&oacute;venes, etc&eacute;tera. Suelen ser indicadores muy coste-efectivos porque no se requiere medici&oacute;n del consumo de alcohol. Sin embargo, para interpretar sus tendencias hay que asumir que no hay cambios en los m&eacute;todos de registro ni en la proporci&oacute;n de casos relacionados con alcohol<sup>10,94,137</sup>.</font></p>     <p><font face="Verdana" size="2">e) Las medidas de exposici&oacute;n conjunta a alcohol y conducci&oacute;n. Suele usarse la proporci&oacute;n de conductores que conduce bajo efectos del alcohol, estimada mediante an&aacute;lisis de muestras biol&oacute;gicas o autoinforme. En el primer caso se pueden utilizar las mediciones de la concentraci&oacute;n de alcohol en aire espirado (CAA) hechas por agentes de tr&aacute;fico a conductores con fines preventivos o por infringir las normas. La CAA se expresa en mg/l y se relaciona con la CAS en g/l (CAS=CAA*2,1)<sup>138</sup>. Para que refleje las tendencias reales no ha de haber cambios en los criterios de selecci&oacute;n de lugares, tiempos y conductores controlados, lo que suele desconocerse. Puntualmente se han usado muestras representativas, como en el estudio DRUID<sup>138</sup>. El autoinforme (conducir bajo efectos del alcohol) subestima la extensi&oacute;n del fen&oacute;meno, pero puede ser &uacute;til para identificar grupos de especial riesgo<sup>139,140</sup>, estimar tendencias de la prevalencia y evaluar las pol&iacute;ticas preventivas si las encuestas se repiten con la misma metodolog&iacute;a<sup>141</sup>.</font></p>     <p><font face="Verdana" size="2">Dados los problemas de validez de los distintos indicadores, sobre todo para lesiones intencionadas y conductas violentas, se recomienda hacer estudios de sensibilidad y triangular los resultados usando varias fuentes. A veces se producen discrepancias entre las tendencias de unos y otros<sup>142</sup>, pero tambi&eacute;n hay ejemplos de validez convergente, por ejemplo entre el autoinforme de lesiones relacionadas con alcohol y las visitas a urgencias por este problema<sup>143</sup>.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><b>Carga total de enfermedad atribuible al alcohol</b></font></p>     <p><font face="Verdana" size="2">Es la parte de la brecha entre el estado actual de salud y el estado ideal en que se vive hasta una edad anciana libre de enfermedad e incapacidad de la que puede responsabilizarse al uso de alcohol. Es el mejor resumen del impacto del alcohol en la salud p&uacute;blica. Se estima sumando los a&ntilde;os de vida perdidos ajustados por discapacidad atribuibles al alcohol (AVADAAc) para todos los problemas de salud en que hay evidencias de que el alcohol puede ser una causa contribuyente. Los AVADAAc por un problema dado son a su vez la suma de a&ntilde;os perdidos por muerte prematura (AVPc) y a&ntilde;os perdidos por discapacidad (APDc) atribuibles a alcohol. Un AVADAA representa la p&eacute;rdida de un a&ntilde;o de vida en completa salud<sup>5,31,32,38</sup>. Para calcular los AVADAA han de integrarse datos de prevalencia de consumo de alcohol, mortalidad, morbilidad e incapacidad o calidad de vida<sup>144,145</sup>. Los algoritmos de c&aacute;lculo se incluyen en la <b><a href="#t2">tabla 2</a></b>. Las estimaciones tienen limitaciones porque los estudios sobre la morbilidad e incapacidad relacionadas con el alcohol son escasos, ya que exigen seguimiento de los participantes con m&uacute;ltiples evaluaciones estandarizadas en el tiempo. Como fuentes de datos de morbilidad pueden usarse registros espec&iacute;ficos de enfermedades (c&aacute;ncer) o registros cl&iacute;nico-administrativos de admisiones o altas en servicios de urgencias u hospitales.</font></p>     <p><font face="Verdana" size="2">Por otra parte la aplicaci&oacute;n de las FAP al n&uacute;mero de atendidos por distintos diagn&oacute;sticos relacionados con alcohol en servicios de salud (urgencias, hospitales, etc&eacute;tera) permite obtener la carga de visitas atribuible a alcohol en dichos servicios<sup>132</sup>.</font></p>     <p><font face="Verdana" size="2"><b>Costes sociales relacionados con alcohol</b></font></p>     <p><font face="Verdana" size="2">El coste social del uso de alcohol es un concepto complejo que representa el coste monetario actual para la sociedad derivado del uso de alcohol actual y pasado. No refleja lo que se podr&iacute;a ahorrar si el alcohol desapareciera de repente, ya que en buena parte es consecuencia del consumo previo. Se han de incluir los costes totales, tangibles e intangibles, generados por el uso de alcohol y los problemas atribuibles al mismo. Entre los primeros hay que considerar el coste de las bebidas, atenci&oacute;n a los problemas sanitarios, sociales y legales atribuibles a alcohol (incluyendo costes de prevenci&oacute;n, como los de supervisi&oacute;n y control del consumo de alcohol cuando se conduce o realizan otras actividades, tratamiento, dependencia, reinserci&oacute;n, investigaci&oacute;n, gesti&oacute;n, intervenci&oacute;n legal, etc.), mortalidad prematura, da&ntilde;os provocados por accidentes o violencia relacionados con alcohol, p&eacute;rdida de productividad, absentismo laboral y desempleo. A menudo los costes tangibles se separan en directos, que miden el valor de los recursos usados como consecuencia de los problemas de alcohol, e indirectos, que son el valor de los recursos perdidos. Por su parte, los costes intangibles incluyen la valoraci&oacute;n monetaria del dolor, el sufrimiento y el deterioro de la calidad de vida<sup>72</sup>.</font></p>     <p><font face="Verdana" size="2">La OMS ha publicado una gu&iacute;a para estimar los costes del abuso de sustancias<sup>146</sup>, cuyas directrices se han adaptado para estimar costes derivados del uso del alcohol<sup>72</sup>. Una revisi&oacute;n reciente de estudios realizados en 1990-2007 encontr&oacute; que los costes intangibles apenas se han considerado y que las diferencias en los componentes de los costes y m&eacute;todos de estimaci&oacute;n limitan la comparaci&oacute;n de resultados<sup>147</sup>. Hay que reconocer que es muy dif&iacute;cil medir en t&eacute;rminos monetarios algunas consecuencias del alcohol, como los problemas familiares o los beneficios del consumo moderado en las relaciones sociales. En cualquier caso, para identificar las necesidades globales de intervenci&oacute;n y evaluar el coste-efectividad de las pol&iacute;ticas es necesario considerar todos los costes tangibles, lo que a menudo no se hace. Un problema importante es la existencia de dos m&eacute;todos para valorar el coste de las p&eacute;rdidas de productividad: el m&eacute;todo del capital humano, que adopta la perspectiva del paciente y computa como p&eacute;rdidas cualquier hora no trabajada como consecuencia del alcohol, y el m&eacute;todo de costes de fricci&oacute;n, que adopta la perspectiva del empleador y solo computa como p&eacute;rdidas las horas no trabajadas hasta que el empleado es sustituido por otro. Naturalmente, las estimaciones con el primer m&eacute;todo puede ser 10-100 veces m&aacute;s altas que con el segundo, lo que afecta a las estimaciones totales, ya que las p&eacute;rdidas de productividad representan el cap&iacute;tulo m&aacute;s importante de los costes<sup>148</sup>. Finalmente, para hacer comparaciones temporoespaciales es tambi&eacute;n conveniente ponderar los costes por los coeficientes de paridad del poder adquisitivo del Fondo Monetario Internacional y aplicar tasas de descuento adecuadas.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Conclusiones</b></font></p>     <p><font face="Verdana" size="2">La situaci&oacute;n descrita indica que existen problemas metodol&oacute;gicos para estimar tanto el efecto del alcohol sobre distintos problemas sociales y de salud como el impacto poblacional del consumo. Con los conocimientos actuales habr&iacute;a que excluir siempre a los antiguos bebedores excesivos cuando el grupo control son las personas abstemias. Sin embargo, puede ser conveniente incluir en el grupo control a los bebedores irregulares de peque&ntilde;as cantidades porque no hay evidencias de que estas conductas se asocien con da&ntilde;o sociosanitario y los abstemios absolutos de toda la vida son una minor&iacute;a muy especial que puede introducir sesgos en las estimaciones<sup>4-9</sup>. Esto significa que cuando se estudian desenlaces cr&oacute;nicos han de usarse mediciones de la exposici&oacute;n al alcohol m&aacute;s completas y referidas a m&uacute;ltiples puntos del tiempo. En este sentido algunos consideran que el m&eacute;todo de la frecuencia graduada subestima menos el volumen de alcohol consumido en un per&iacute;odo dado que el de cantidad-frecuencia y permite medir tambi&eacute;n el consumo excesivo irregular<sup>10</sup>. Tambi&eacute;n es importante mejorar la medida de los posibles confundidores<sup>47</sup>. En cuanto al estudio de los desenlaces agudos hay que refinar las medidas para estimar de forma m&aacute;s precisa el nivel de intoxicaci&oacute;n en el momento del evento, utilizar controles adecuados (grupos o per&iacute;odos) para derivar medidas v&aacute;lidas del efecto y mejorar la medida de las variables confundidoras. Para mejorar la calidad de los estudios centrados en pacientes atendidos en servicios sanitarios ha de explorarse sistem&aacute;ticamente el consumo de alcohol mediante preguntas estandarizadas y la posible existencia de TAU mediante AUDIT o la operativizaci&oacute;n de los criterios DSM-5, que clasifican a los pacientes seg&uacute;n el nivel de intervenci&oacute;n requerido. Los tests biol&oacute;gicos aislados no son una buena herramienta de cribado<sup>82</sup>. Se han desarrollado gu&iacute;as con los elementos clave para el dise&ntilde;o, ejecuci&oacute;n y an&aacute;lisis de estudios sobre la relaci&oacute;n del alcohol y problemas asociados en &aacute;mbitos como los servicios de urgencias<sup>113</sup>. Estos estudios deber&iacute;an ser multic&eacute;ntricos para evitar problemas de potencia estad&iacute;stica.</font></p>     <p><font face="Verdana" size="2">Con respecto a la estimaci&oacute;n de la mortalidad y la carga de enfermedad atribuible al alcohol se recomienda obtener la FAP espec&iacute;fica del pa&iacute;s o &aacute;rea donde se realiza la estimaci&oacute;n utilizando series locales de casos (lesiones) o aplicando las prevalencias de consumo de encuestas poblacionales locales a los RR publicados. Considerando la subestimaci&oacute;n del autoinforme de consumo de alcohol en las encuestas, es crucial corregir las estimaciones de la prevalencia con las estad&iacute;sticas de compraventa de bebidas alcoh&oacute;licas para evitar subestimar los problemas atribuibles a alcohol<sup>42</sup>. A la hora de estimar los costes sociales atribuibles a esta sustancia deber&iacute;an incluirse todos los costes tangibles y no s&oacute;lo los directos.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">A efectos de monitorizar los problemas relacionados con alcohol se recomienda incluir en las encuestas poblacionales alguna medida para identificar los TAU y su gravedad, como el AUDIT, y presentar las series temporales de las tasas estandarizadas para las distintas condiciones de salud relacionadas con alcohol separadas seg&uacute;n las FAP estimadas para el pa&iacute;s, por ejemplo, 1, 0,5-0,99 y 0,25-0,49. Se recomienda estimar peri&oacute;dicamente (al menos cada cuatro a&ntilde;os) la mortalidad, carga de enfermedad y costes sociales atribuibles a alcohol. Si no es factible desarrollar un sistema de informaci&oacute;n adecuado para todo el pa&iacute;s, puede ser conveniente seleccionar &aacute;reas centinela donde se ponga a punto una bater&iacute;a de indicadores para identificar las tendencias de los da&ntilde;os relacionados con alcohol. En cualquier caso los subconjuntos de condiciones incluidas deben mantenerse estables en el tiempo, y ha de comprobarse si el cambio en otros factores de riesgo puede explicar las tendencias observadas. En el caso de indicadores centrados en servicios (sanitarios, sociales, legales) que contactan con consumidores con problemas por alcohol es necesario considerar tambi&eacute;n si los cambios en las tendencias pueden explicarse por cambios en el registro o en la disponibilidad y pol&iacute;tica de los servicios. Siempre es conveniente triangular la informaci&oacute;n proveniente de varios indicadores que utilicen fuentes y m&eacute;todos diferentes. Si hay consistencia en las tendencias es m&aacute;s probable que coincidan con las reales.</font></p>     <p>&nbsp;</p>     <br>    <p><font face="Verdana" size="2"><b>Bibliografía</b></font></p>     <!-- ref --><p><font face="Verdana" size="2">1. Zeisser C, Stockwell TR, Chikritzhs T, Cherpitel C, Ye Y, Gardner C. A systematic review and meta-analysis of alcohol consumption and injury risk as a function of study design and recall period. Alcohol Clin Exp Res. 2013; 37 Suppl 1: E1-E8.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720164&pid=S1135-5727201400040000300001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">2. Cherpitel CJ, Bond J, Ye Y, Borges GL, Macdonald S, Giesbrecht N. A cross-national meta-analysis of alcohol and injury: data from the Emergency Room Collaborative Alcohol Analysis Project (ERCAAP). Addiction. 2003; 98:1277-1286.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720166&pid=S1135-5727201400040000300002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">3. Taylor B, Rehm J. The relationship between alcohol consumption and fatal motor vehicle injury: high risk at low alcohol levels. Alcohol Clin Exp Res. 2012; 36: 1827-1834.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720168&pid=S1135-5727201400040000300003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    ]]></body>
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<body><![CDATA[<!-- ref --><p><font face="Verdana" size="2">9. Roerecke M, Rehm J. Ischemic heart disease mortality and morbidity rates in former drinkers: a meta-analysis. Am J Epidemiol. 2011; 173: 245-258.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720180&pid=S1135-5727201400040000300009&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">10. World Health Organization (WHO). International guide for monitoring alcohol consumption and related harm. Geneva: WHO; 2000. Disponible en: <a target="_blank" href="http://whqlibdoc.who.int/hq/2000/who_msd_msb_00.4.pdf">http://whqlibdoc.who.int/hq/2000/who_msd_msb_00.4.pdf</a>.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720182&pid=S1135-5727201400040000300010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">11. Zufferey A, Michaud PA, Jeannin A, Berchtold A, Chossis I, van MG, et al. Cumulative risk factors for adolescent alcohol misuse and its perceived consequences among 16 to 20 year old adolescents in Switzerland. Prev Med. 2007; 45: 233-239.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720184&pid=S1135-5727201400040000300011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">12. Hingson RW, Zha W, Weitzman ER. Magnitude of and trends in alcohol-related mortality and morbidity among U.S. college students ages 18-24, 1998-2005. J Stud Alcohol Drugs Suppl. 2009; 12-20.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720186&pid=S1135-5727201400040000300012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">13. Bond J. Causality and causal attribution of alcohol injuries. En: Alcohol and injuries. Emergency department studies in an international perspective . Geneva: World Health Organization; 2009. p. 27-39. Disponible en: <a target="_blank" href="http://www.who.int/substance_abuse/msbalcinuries.pdf">http://www.who.int/substance_abuse/msbalcinuries.pdf</a>.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720188&pid=S1135-5727201400040000300013&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    ]]></body>
<body><![CDATA[<!-- ref --><p><font face="Verdana" size="2">14. Rehm J, Gmel G. Patterns of alcohol consumption and social consequences. Results from an 8-year follow-up study in Switzerland. Addiction. 1999; 94: 899-912.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720190&pid=S1135-5727201400040000300014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">15. Gmel G, Kuntsche E, Wicki M, Labhart F. Measuring alcohol-related consequences in school surveys: alcohol-attributable consequences or consequences with students' alcohol attribution. Am J Epidemiol. 2010; 171: 93-104.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720192&pid=S1135-5727201400040000300015&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">16. Kuendig H, Plant MA, Plant ML, Miller P, Kuntsche S, Gmel G. Alcohol-related adverse consequences: cross-cultural variations in attribution process among young adults. Eur J Public Health. 2008; 18: 386-391.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720194&pid=S1135-5727201400040000300016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">17. Cherpitel CJ, Ye Y, Bond J, Borges G. The causal attribution of injury to alcohol consumption: a cross-national meta-analysis from the emergency room collaborative alcohol analysis project. Alcohol Clin Exp Res. 2003; 27: 1805-1812.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720196&pid=S1135-5727201400040000300017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">18. Midanik LT, Greenfield TK. Trends in social consequences and dependence symptoms in the United States: the National Alcohol Surveys, 1984-1995. Am J Public Health. 2000; 90: 53-56.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720198&pid=S1135-5727201400040000300018&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    ]]></body>
<body><![CDATA[<!-- ref --><p><font face="Verdana" size="2">19. Norstrom T. The use of aggregate data in alcohol epidemiology. Br J Addict. 1989; 84: 969-977.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720200&pid=S1135-5727201400040000300019&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">20. Norstrom T, Skog OJ. Alcohol and mortality: methodological and analytical issues in aggregate analyses. Addiction. 2001; 96 Suppl 1: S5-S17.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720202&pid=S1135-5727201400040000300020&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">21. Landberg J, Norstrom T. Alcohol and homicide in Russia and the United States: a comparative analysis. J Stud Alcohol Drugs. 2011; 72: 723-730.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720204&pid=S1135-5727201400040000300021&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">22. Andreasson S, Holder HD, Norstrom T, Osterberg E, Rossow I. Estimates of harm associated with changes in Swedish alcohol policy: results from past and present estimates. Addiction. 2006; 101: 1096-1105.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720206&pid=S1135-5727201400040000300022&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    <!-- ref --><p><font face="Verdana" size="2">23. Engdahl B, Ramstedt M. Is the population level link between drinking and harm similar for women and men?--a time series analysis with focus on gender-specific drinking and alcohol-related hospitalizations in Sweden. Eur J Public Health. 2011; 21: 432-437.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720208&pid=S1135-5727201400040000300023&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>    ]]></body>
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<body><![CDATA[<!-- ref --><p><font face="Verdana" size="2">159. Maisto SA, Saitz R. Alcohol use disorders: screening and diagnosis. Am J Addict. 2003; 12 Suppl 1: S12-S25.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=5720480&pid=S1135-5727201400040000300159&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><a href="#top"><img border="0" src="/img/revistas/resp/v88n4/seta.gif" width="15" height="17"></a><a name="bajo"></a><b>Dirección para correspondencia:</b>    <br>Blanca Iciar Indave Ruiz    <br>Servicio de Medicina Preventiva.    <br>Hospital Universitario de M&oacute;stoles.    <br>c/ R&iacute;o J&uacute;car, s/n    <br>28935 M&oacute;stoles    ]]></body>
<body><![CDATA[<br>Espa&ntilde;a.    <br><a href="mailto:iciarindave@gmail.com">iciarindave@gmail.com</a></font></p>      ]]></body><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zeisser]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Stockwell]]></surname>
<given-names><![CDATA[TR]]></given-names>
</name>
<name>
<surname><![CDATA[Chikritzhs]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Cherpitel]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Ye]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Gardner]]></surname>
<given-names><![CDATA[C]]></given-names>
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