The utility of the Alcohol Use Disorders Identification test (AUDIT) for the analysis of binge drinking in university students.

  1. María Teresa Cortés Tomás 1
  2. José Antonio Giménez Costa 1
  3. Patricia Motos-Sellés 1
  4. María Dolores Sancerni Beitia 1
  5. Fernando Cadaveira Mahía 2
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

  2. 2 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Revista:
Psicothema

ISSN: 0214-9915

Año de publicación: 2017

Volumen: 29

Número: 2

Páginas: 229-235

Tipo: Artículo

DOI: 10.7334/PSICOTHEMA2016.271 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Psicothema

Resumen

Antecedentes: la operacionalización cada vez más precisa del Binge Drinking (BD), unido a su elevada prevalencia entre los jóvenes, hace necesario revisar la utilidad de los instrumentos utilizados para detectarlo. Existe poca evidencia de la eficacia del AU-DIT y AUDIT-C en la detección del BD. Este artículo evalúa su utilidad en una muestra de universitarios, identificando los puntos de corte más adecuados, en función del sexo. Método: se cumplimentó el AUDIT y un autoregistro de consumo de alcohol. Un análisis de conglomerados en dos fases diferenció 5 grupos de BD en función de: cantidad consumida, frecuencia de realización en los últimos seis meses y género. Con curvas ROC se ajustaron los puntos de corte para cada caso. Resultados: 862 universitarios (18-19 años/59,5% mujeres), 424 (49,2%) de Valencia y 438 (50,8%) de Madrid obtuvieron puntos de corte de 4 en AUDIT y 3 en AUDIT-C como mejor ajuste. En todos los casos el mejor clasificador de BD fue el AUDIT-C. Ninguna versión clasifica adecuadamente a estudiantes con diferente intensidad de BD. Conclusiones: ambas versiones diferencian BD de noBD, pero ninguna de ellas permite distinguir entre tipos de BD.

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Fuente de los datos: Dialnet