TY - JOUR
T1 - Characterizing Alcohol Expectancies in the ABCD Study
T2 - Associations with Sociodemographic Factors, the Immediate Social Environment, and Genetic Propensities
AU - Johnson, Emma C.
AU - Paul, Sarah E.
AU - Baranger, David A.A.
AU - Hatoum, Alexander S.
AU - Colbert, Sarah M.C.
AU - Lin, Shuyu
AU - Wolff, Rachel
AU - Gorelik, Aaron J.
AU - Hansen, Isabella
AU - Karcher, Nicole R.
AU - Bogdan, Ryan
AU - Agrawal, Arpana
N1 - Funding Information:
This study was approved by the local Institutional Review Board. Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development (ABCD) Study ( https://abcdstudy.org ), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9–10 and follow them over 10 years into early adulthood. The ABCD Study is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041022, U01DA041028, U01DA041048, U01DA041089, U01DA041106, U01DA041117, U01DA041120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U24DA041123, U24DA041147, U01DA041093, and U01DA041025. A full list of supporters is available at https://abcdstudy.org/federal-partners.html . A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/Consortium_Members.pdf . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from https://doi.org/10.15154/1523041 .
Funding Information:
ECJ was supported by K01DA051759. AA and RB receive support from R01DA054750. ASH was supported by K01AA030083. AJG was supported by DGE-213989. NRK was supported by K23MH12179201. SEP was supported by F31AA029934. National Institute on Drug Abuse, K01DA051759, R01DA054750,R01DA054750, National Institute on Alcohol Abuse and Alcoholism, F31AA029934, K01AA030083, National Science Foundation, DGE-213989, National Institute of Mental Health, K23MH12179201.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023/5
Y1 - 2023/5
N2 - Alcohol expectancies (AEs) are associated with likelihood of alcohol initiation and subsequent alcohol use disorders. It is unclear whether genetic predisposition to alcohol use and/or related traits contributes to shaping how one expects to feel when drinking alcohol. We used the Adolescent Brain Cognitive Development study to examine associations between genetic propensities (i.e., polygenic risk for problematic alcohol use, depression, risk-taking), sociodemographic factors (i.e., parent income), and the immediate social environment (i.e., peer use and disapproval toward alcohol) and positive and negative AEs in alcohol-naïve children (max analytic N = 5,352). Mixed-effect regression models showed that age, parental education, importance of the child’s religious beliefs, adverse childhood experiences, and peer disapproval of alcohol use were associated with positive and/or negative AEs, to varying degrees. Overall, our results suggest several familial and psychosocial predictors of AEs but little evidence of contributions from polygenic liability to problematic alcohol use or related phenotypes.
AB - Alcohol expectancies (AEs) are associated with likelihood of alcohol initiation and subsequent alcohol use disorders. It is unclear whether genetic predisposition to alcohol use and/or related traits contributes to shaping how one expects to feel when drinking alcohol. We used the Adolescent Brain Cognitive Development study to examine associations between genetic propensities (i.e., polygenic risk for problematic alcohol use, depression, risk-taking), sociodemographic factors (i.e., parent income), and the immediate social environment (i.e., peer use and disapproval toward alcohol) and positive and negative AEs in alcohol-naïve children (max analytic N = 5,352). Mixed-effect regression models showed that age, parental education, importance of the child’s religious beliefs, adverse childhood experiences, and peer disapproval of alcohol use were associated with positive and/or negative AEs, to varying degrees. Overall, our results suggest several familial and psychosocial predictors of AEs but little evidence of contributions from polygenic liability to problematic alcohol use or related phenotypes.
KW - Adverse childhood experiences
KW - Alcohol expectancies
KW - Educational attainment
KW - Peer deviance
KW - Polygenic risk scores
KW - Religiosity
UR - http://www.scopus.com/inward/record.url?scp=85146567692&partnerID=8YFLogxK
U2 - 10.1007/s10519-023-10133-2
DO - 10.1007/s10519-023-10133-2
M3 - Article
C2 - 36662388
AN - SCOPUS:85146567692
SN - 0001-8244
VL - 53
SP - 265
EP - 278
JO - Behavior Genetics
JF - Behavior Genetics
IS - 3
ER -