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Differential predictors for alcohol use in adolescents as a function of familial risk

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Tschorn, Mira, Lorenz, Robert C., O’Reilly, Paul F., Reichenberg, Abraham, Banaschewski, Tobias, Bokde, Arun L. W., Quinlan, Erin B., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine et al.
(2021) Differential predictors for alcohol use in adolescents as a function of familial risk. Translational Psychiatry, 11 (1). 157. doi:10.1038/s41398-021-01260-7

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Official URL: https://doi.org/10.1038/s41398-021-01260-7

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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.

Item Type: Journal Article
Subjects: H Social Sciences > HV Social pathology. Social and public welfare
R Medicine > RJ Pediatrics
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Teenagers -- Alcohol use, Youth-- Alcohol use, Youth -- Drug use , Youth -- Substance use, Alcoholism -- Treatment, Alcoholism -- Genetic aspects, Alcoholics -- Family relationships
Journal or Publication Title: Translational Psychiatry
Publisher: Nature Publishing Group UK
ISSN: 2158-3188
Official Date: 4 March 2021
Dates:
DateEvent
4 March 2021Published
28 January 2021Accepted
Volume: 11
Number: 1
Article Number: 157
DOI: 10.1038/s41398-021-01260-7
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
LSHM-CT-2007-037286EU/FP6 Integrated Project IMAGEN UNSPECIFIED
695313[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
PR-ST-0416-10004ERANIDUNSPECIFIED
HBP SGA 2, 785907Human Brain ProjectUNSPECIFIED
HBP SGA 3, 945539Human Brain ProjectUNSPECIFIED
MR/N000390/1[MRC] Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
R01DA049238National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
01GS08152Bundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
01EV0711Bundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
FKZ 01EE1408EBundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
Forschungsnetz AERIAL 01EE1406ABundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
01EE1406BBundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
01EE1406IBundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
SM 80/7-2[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
SFB 940[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
TRR 265[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
NE 1383/14-1[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
MR/R00465X/1[MRC] Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
MR/S020306/1[MRC] Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
5U54EB020403-05National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
1R56AG058854-01National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
ANR-12-SAMA-0004[ANR] Agence Nationale de la Recherchehttp://dx.doi.org/10.13039/501100001665
AAPG2019 - GeBra[ANR] Agence Nationale de la Recherchehttp://dx.doi.org/10.13039/501100001665
AF12-NEUR0008-01-WM2NAEranet NeuronUNSPECIFIED
ANR-18-NEUR00002-01-ADOReEranet NeuronUNSPECIFIED
00081242Fondation de Francehttp://dx.doi.org/10.13039/501100004431
DPA20140629802Fondation pour la Recherche Médicalehttp://viaf.org/viaf/131037754
AP-RM-17-013Fondation de l’AvenirUNSPECIFIED
UNSPECIFIEDFédération pour la Recherche sur le CerveauUNSPECIFIED
16/ERCD/3797National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
16/ERCD/3797Science Foundation Irelandhttp://dx.doi.org/10.13039/501100001602
RO1 MH085772-01A1National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
U54 EB020403National Institutes of Healthhttp://dx.doi.org/10.13039/100000002

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