Neuropsychosocial profiles of current and future adolescent alcohol misusers

Many factors have been proposed as contributors to risk of alcohol abuse, but quantifying their influence has been difficult; here a longitudinal study of a large sample of adolescents and machine learning are used to generate models of predictors of current and future alcohol abuse, assessing the r...

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Bibliographic Details
Published in:	Nature (London) Vol. 512; no. 7513; pp. 185 - 189
Main Authors:	Whelan, Robert, Watts, Richard, Orr, Catherine A., Althoff, Robert R., Artiges, Eric, Banaschewski, Tobias, Barker, Gareth J., Bokde, Arun L. W., Büchel, Christian, Carvalho, Fabiana M., Conrod, Patricia J., Flor, Herta, Fauth-Bühler, Mira, Frouin, Vincent, Gallinat, Juergen, Gan, Gabriela, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Lawrence, Claire, Mann, Karl, Martinot, Jean-Luc, Nees, Frauke, Ortiz, Nick, Paillère-Martinot, Marie-Laure, Paus, Tomas, Pausova, Zdenka, Rietschel, Marcella, Robbins, Trevor W., Smolka, Michael N., Ströhle, Andreas, Schumann, Gunter, Garavan, Hugh
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 14-08-2014 Nature Publishing Group
Subjects:	59/36 59/57 631/378/2649 631/477 692/53/2423 Adolescent Adolescents Age Alcohol and youth Alcohol Drinking - psychology Alcohol use Alcoholism - genetics Alcoholism - prevention & control Alcoholism - psychology Alcohols Animal models Artificial Intelligence Binge drinking Brain - physiology Cognition - physiology Environment Environmental factors Health aspects Humanities and Social Sciences Humans letter Life Change Events Longitudinal Studies Models, Theoretical multidisciplinary Neurology Neurotoxicity syndromes Personality Personality - physiology Polymorphism, Single Nucleotide Psychological aspects Psychology Reproducibility of Results Risk Factors Science Studies Substance use Teenagers United States
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