| Zugriffsnummer | 43587 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence |
| Autor(in); Institution |
Kühn, S.; Max Planck Institute for Human Development, Berlin, GERMANY
Lisofsky, N.; Max Planck Institute for Human Development, Berlin, GERMANY
Banaschewski, T.; Department of Childand Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Barker, G.; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
Bokde, A.; Discipline of Psychiatry, Schoolof Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, IRELAND
Bromberg, U.; University Medical Centre Hamburg-Eppendorf, Hamburg, GERMANY
Büchel, C.; University Medical Centre Hamburg-Eppendorf, Hamburg, GERMANY
Brühl, Rüdiger; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Quinlan, E.; Medical Research Council-Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
Desrivières, S.; Medical Research Council-Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
Flor, H.; Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, GERMANY
Grigis, A.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Garavan, H.; Department so fPsychiatry and Psychology, University of Vermont, Burlington, VT, USA
Gowland, P.; Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
Heinz, A.; Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, GERMANY
Ittermann, Bernd; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Martinot, J.; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes, Sorbonne Paris Cité, and Maison de Solenn, Paris, FRANCE
Martinot, M.; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes, Sorbonne Paris Cité, and Maison de Solenn, Paris, FRANCE
Nees, F.; Department of Childand Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Orfanos, D.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Paus, T.; Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, CANADA
Poustka, L.; Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, GERMANY
Fröhner, J.; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GERMANY
Smolka, M.; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GERMANY
Walter, H.; Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, GERMANY
Whelan, R.; School of Psychology and Global Brain Health Institute, Trinity College Dublin, IRELAND
Schumann, G.; Medical Research Council-Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
Gallinat, J.; University Medical Center Hamburg-Eppendorf (UKE), Department of Psychiatry and Psychotherapy, Hamburg, GERMANY
IMAGEN Consortium,
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| Quelle/Jahr | Addictive Behaviors: 100 (2020), 1 - 9 |
| Artikelnummer | 106130 |
| ISSN | 0306-4603 (print) ; 1873-6327 (online) |
| DOI | |
| Verlag | Amsterdam [u.a.]: Elsevier |
| Freie Schlagworte | Adolescence ; Alcohol consumption ; Conditional inference trees (ctree) ; Hierarchical associations |
| Zusammenfassung | 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 14years (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. |
| Themenbereich der Metrologie | Metrologie in der Medizin |
Zitierung
Kühn, S., Lisofsky, N., Banaschewski, T., Barker, G., Bokde, A., Bromberg, U., Büchel, C., Brühl, R., Quinlan, E., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J., Martinot, M., Nees, F., Orfanos, D., Paus, T., Poustka, L., Fröhner, J., Smolka, M., 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. Addictive Behaviors, 100, 1–9. https://doi.org/10.1016/j.addbeh.2019.106130