Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence

Standard

Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence. / Kühn, Simone; Lisofsky, Nina; Banaschewski, Tobias; Barker, Gareth; Bokde, Arun L W; Bromberg, Uli; Büchel, Christian; Brühl, Rüdiger; Quinlan, Erin Burke; Desrivières, Sylvane; Flor, Herta; Grigis, Antoine; Garavan, Hugh; Gowland, Penny; Heinz, Andreas; Ittermann, Bernd; Martinot, Jean-Luc; Martinot, Marie-Laure Paillère; Nees, Frauke; Orfanos, Dimitri Papadopoulos; Paus, Tomáš; Poustka, Luise; Fröhner, Juliane H; Smolka, Michael N; Walter, Henrik; Whelan, Robert; Schumann, Gunter; Gallinat, Jürgen; IMAGEN Consortium.

In: ADDICT BEHAV, Vol. 100, 01.2020, p. 106130.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Kühn, S, Lisofsky, N, Banaschewski, T, Barker, G, Bokde, ALW, Bromberg, U, Büchel, C, Brühl, R, Quinlan, EB, Desrivières, S, Flor, H, Grigis, A, Garavan, H, Gowland, P, Heinz, A, Ittermann, B, Martinot, J-L, Martinot, M-LP, Nees, F, Orfanos, DP, Paus, T, Poustka, L, Fröhner, JH, Smolka, MN, Walter, H, Whelan, R, Schumann, G, Gallinat, J & IMAGEN Consortium 2020, 'Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence', ADDICT BEHAV, vol. 100, pp. 106130. https://doi.org/10.1016/j.addbeh.2019.106130

APA

Kühn, S., Lisofsky, N., Banaschewski, T., Barker, G., Bokde, A. L. W., Bromberg, U., Büchel, C., Brühl, R., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J-L., Martinot, M-L. P., Nees, F., ... IMAGEN Consortium (2020). Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence. ADDICT BEHAV, 100, 106130. https://doi.org/10.1016/j.addbeh.2019.106130

Vancouver

Bibtex

@article{8bf4f8825303492aae2453789a987e71,
title = "Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence",
abstract = "High adolescent alcohol consumption is predictive for alcohol problems later in life. To tailor interventions, early identification of risk groups for adolescent alcohol consumption is important. The IMAGEN dataset was utilized to investigate predictors for problematic alcohol consumption at age 18-20 years as a function self and parental personality and drug-related measures as well as life-events and cognitive variables all assessed at age 14 years (N = 1404). For this purpose the binary partitioning algorithm ctree was used in an explorative analysis. The algorithm recursively selects significant input variables and splits the outcome variable based on these, yielding a conditional inference tree. Four significant split variables, namely Place of residence, the Disorganization subscale of the Temperament and Character Inventory, Sex, and the Sexuality subscale of the life-events questionnaire were found to distinguish between adolescents scoring high or low on the Alcohol Use Disorders Identification Test about five years later (all p < 0.001). The analyis adds to the literature on predictors of adolescent drinking problems using a large European sample. The identified split variables could easily be collected in community samples. If their validity is proven in independent samples, they could facilitate intervention studies in the field of adolescent alcohol prevention.",
author = "Simone K{\"u}hn and Nina Lisofsky and Tobias Banaschewski and Gareth Barker and Bokde, {Arun L W} and Uli Bromberg and Christian B{\"u}chel and R{\"u}diger Br{\"u}hl and Quinlan, {Erin Burke} and Sylvane Desrivi{\`e}res and Herta Flor and Antoine Grigis and Hugh Garavan and Penny Gowland and Andreas Heinz and Bernd Ittermann and Jean-Luc Martinot and Martinot, {Marie-Laure Paill{\`e}re} and Frauke Nees and Orfanos, {Dimitri Papadopoulos} and Tom{\'a}{\v s} Paus and Luise Poustka and Fr{\"o}hner, {Juliane H} and Smolka, {Michael N} and Henrik Walter and Robert Whelan and Gunter Schumann and J{\"u}rgen Gallinat and {IMAGEN Consortium}",
note = "Copyright {\textcopyright} 2019. Published by Elsevier Ltd.",
year = "2020",
month = jan,
doi = "10.1016/j.addbeh.2019.106130",
language = "English",
volume = "100",
pages = "106130",
journal = "ADDICT BEHAV",
issn = "0306-4603",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence

AU - Kühn, Simone

AU - Lisofsky, Nina

AU - Banaschewski, Tobias

AU - Barker, Gareth

AU - Bokde, Arun L W

AU - Bromberg, Uli

AU - Büchel, Christian

AU - Brühl, Rüdiger

AU - Quinlan, Erin Burke

AU - Desrivières, Sylvane

AU - Flor, Herta

AU - Grigis, Antoine

AU - Garavan, Hugh

AU - Gowland, Penny

AU - Heinz, Andreas

AU - Ittermann, Bernd

AU - Martinot, Jean-Luc

AU - Martinot, Marie-Laure Paillère

AU - Nees, Frauke

AU - Orfanos, Dimitri Papadopoulos

AU - Paus, Tomáš

AU - Poustka, Luise

AU - Fröhner, Juliane H

AU - Smolka, Michael N

AU - Walter, Henrik

AU - Whelan, Robert

AU - Schumann, Gunter

AU - Gallinat, Jürgen

AU - IMAGEN Consortium

N1 - Copyright © 2019. Published by Elsevier Ltd.

PY - 2020/1

Y1 - 2020/1

N2 - High adolescent alcohol consumption is predictive for alcohol problems later in life. To tailor interventions, early identification of risk groups for adolescent alcohol consumption is important. The IMAGEN dataset was utilized to investigate predictors for problematic alcohol consumption at age 18-20 years as a function self and parental personality and drug-related measures as well as life-events and cognitive variables all assessed at age 14 years (N = 1404). For this purpose the binary partitioning algorithm ctree was used in an explorative analysis. The algorithm recursively selects significant input variables and splits the outcome variable based on these, yielding a conditional inference tree. Four significant split variables, namely Place of residence, the Disorganization subscale of the Temperament and Character Inventory, Sex, and the Sexuality subscale of the life-events questionnaire were found to distinguish between adolescents scoring high or low on the Alcohol Use Disorders Identification Test about five years later (all p < 0.001). The analyis adds to the literature on predictors of adolescent drinking problems using a large European sample. The identified split variables could easily be collected in community samples. If their validity is proven in independent samples, they could facilitate intervention studies in the field of adolescent alcohol prevention.

AB - High adolescent alcohol consumption is predictive for alcohol problems later in life. To tailor interventions, early identification of risk groups for adolescent alcohol consumption is important. The IMAGEN dataset was utilized to investigate predictors for problematic alcohol consumption at age 18-20 years as a function self and parental personality and drug-related measures as well as life-events and cognitive variables all assessed at age 14 years (N = 1404). For this purpose the binary partitioning algorithm ctree was used in an explorative analysis. The algorithm recursively selects significant input variables and splits the outcome variable based on these, yielding a conditional inference tree. Four significant split variables, namely Place of residence, the Disorganization subscale of the Temperament and Character Inventory, Sex, and the Sexuality subscale of the life-events questionnaire were found to distinguish between adolescents scoring high or low on the Alcohol Use Disorders Identification Test about five years later (all p < 0.001). The analyis adds to the literature on predictors of adolescent drinking problems using a large European sample. The identified split variables could easily be collected in community samples. If their validity is proven in independent samples, they could facilitate intervention studies in the field of adolescent alcohol prevention.

U2 - 10.1016/j.addbeh.2019.106130

DO - 10.1016/j.addbeh.2019.106130

M3 - SCORING: Journal article

C2 - 31622946

VL - 100

SP - 106130

JO - ADDICT BEHAV

JF - ADDICT BEHAV

SN - 0306-4603

ER -