Differential predictors for alcohol use in adolescents as a function of familial risk
Creators: name: Tschorn, Mira
name: Lorenz, Robert C.
name: O’Reilly, Paul F.
name: Reichenberg, Abraham
name: Quinlan, Erin B.
name: Flor, Herta
name: Grigis, Antoine
name: Garavan, Hugh
name: Ittermann, Bernd
name: Papadopoulos Orfanos, Dimitri
name: Poustka, Luise
name: Millenet, Sabina
name: Smolka, Michael N.
name: Whelan, Robert
name: Schumann, Gunter
name: Rapp, Michael A.
name: Robbins, Trevor
name: Dalley, Jeffrey
name: Subramaniam, Naresh
name: Theobald, David
name: Mann, Karl
name: Bach, Christiane
name: Struve, Maren
name: Banaschewski, Tobias
name: Rietschel, Marcella
name: Spanagel, Rainer
name: Nees, Frauke
name: Fauth-Bühler, Mira
name: Grimmer, Yvonne
name: Lathrop, Mark
name: Heinz, Andreas
name: Albrecht, Lisa
name: Ivanov, Nikolay
name: Strache, Nicole
name: Rapp, Michael
name: Ströhle, Andreas
name: Reuter, Jan
name: Gallinat, Jürgen
name: Walter, Henrik
name: Gemmeke, Isabel
name: Genauck, Alexander
name: Parchetka, Caroline
name: Weiß, Katharina
name: Kruschwitz, Johann
name: Raffaelli, Bianca
name: Isci, Alev
name: Daedelow, Laura
name: Barbot, Alexis
name: Thyreau, Benjamin
name: Schwartz, Yannick
name: Lalanne, Christophe
name: Frouin, Vincent
name: Orfanos, Dimitri Papadopoulos
name: Rogers, John
name: Ireland, James
name: Lanzerath, Dirk
name: Feng, Jianfeng
name: Martinot, Jean-Luc
name: Bricaud, Zuleima
name: Briand, Fanny Gollier
name: LemaÎtre, Hervé
name: Miranda, Ruben
name: Artiges, Eric
name: Massicotte, Jessica
name: Martinot, Marie-Laure Paillère
name: Vulser, Helene
name: Pentillä, Jani
name: Filippi, Irina
name: Galinowski, André
name: Bezivin, Pauline
name: Cattrell, Anna
name: Jia, Tianye
name: Desrivières, Sylvane
name: Werts, Helen
name: Topper, Lauren
name: Reed, Laurence
name: Andrew, Chris
name: Mallik, Catherine
name: Ruggeri, Barbara
name: Nymberg, Charlotte
name: Barker, Gareth
name: Conrod, Patricia J.
name: Smith, Lindsay
name: Loth, Eva
name: Havatzias, Stephanie
name: Shekarrizi, Sheyda
name: Kitson, Emily
name: Robinson, Alice
name: Hall, Deborah
name: Rubino, Chiara
name: Wright, Hannah
name: Stueber, Kerstin
name: Hanratty, Eanna
name: Kennedy, Eleanor
name: De Carvahlo, Fabiana Mesquita
name: Stringaris, Argyris
name: Robert, Gabriel
name: Ing, Alex
name: Macare, Christine
name: Xu, Bing
name: Yu, Tao
name: Quinlan, Erin Burke
name: Constant, Patrick
name: Aydin, Semiha
name: Brühl, Ruediger
name: Ihlenfeld, Albrecht
name: Walaszek, Bernadeta
name: Smolka, Michael
name: Hübner, Thomas
name: Müller, Kathrin
name: Ripke, Stephan
name: Jurk, Sarah
name: Mennigen, Eva
name: Schmidt, Dirk
name: Vetter, Nora
name: Ziesch, Veronika
name: Fröhner, Juliane H.
name: Bokde, Arun L. W.
name: Carter, Daniel
name: Walsh, Emily
name: O’Driscoll, Susanne
name: Agan, Maria Leonora Fatimah
name: McMorrow, Mairead
name: Nugent, Sinead
name: Connolly, Colm
name: Dooley, Eoin
name: Cremen, Clodagh
name: Jones, Jennifer
name: O’Keefe, John
name: O’Connor, Martin
name: Poline, Jean-Baptiste
name: Büchel, Christian
name: Bromberg, Uli
name: Fadai, Tahmine
name: Yacubian, Juliana
name: Schneider, Sophia
name: Lobatchewa, Maria
name: Lawrence, Claire
name: Newman, Craig
name: Head, Kay
name: Heym, Nadja
name: Gowland, Penny
name: Stedman, Alicia
name: Kaviani, Mehri
name: Taplin, Susannah
name: Stephens, Dai
name: Paus, Tomáš
name: Pausova, Zdenka
name: Tahmasebi, Amir
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Article
/631/208
/631/378
/631/477
/692/699/476/5
/59/36
/45/23
article

description: Abstract: Traditional models of future alcohol use in adolescents have used variable-centered approaches, predicting alcohol use from a set of variables across entire samples or populations. Following the proposition that predictive factors may vary in adolescents as a function of family history, we used a two-pronged approach by first defining clusters of familial risk, followed by prediction analyses within each cluster. Thus, for the first time in adolescents, we tested whether adolescents with a family history of drug abuse exhibit a set of predictors different from adolescents without a family history. We apply this approach to a genetic risk score and individual differences in personality, cognition, behavior (risk-taking and discounting) substance use behavior at age 14, life events, and functional brain imaging, to predict scores on the alcohol use disorders identification test (AUDIT) at age 14 and 16 in a sample of adolescents (N = 1659 at baseline, N = 1327 at follow-up) from the IMAGEN cohort, a longitudinal community-based cohort of adolescents. In the absence of familial risk (n = 616), individual differences in baseline drinking, personality measures (extraversion, negative thinking), discounting behaviors, life events, and ventral striatal activation during reward anticipation were significantly associated with future AUDIT scores, while the overall model explained 22% of the variance in future AUDIT. In the presence of familial risk (n = 711), drinking behavior at age 14, personality measures (extraversion, impulsivity), behavioral risk-taking, and life events were significantly associated with future AUDIT scores, explaining 20.1% of the overall variance. Results suggest that individual differences in personality, cognition, life events, brain function, and drinking behavior contribute differentially to the prediction of future alcohol misuse. This approach may inform more individualized preventive interventions.