Binge drinking trajectories across adolescence and early adulthood: Associations with genetic influences for dual-systems impulsive personality traits, alcohol consumption, and alcohol use disorder
Miller, A. P.; Spychala, K. M.; Slutske, W. S.; Fromme, K.; Gizer, I. R.
Show abstract
Binge drinking is a relatively common pattern of alcohol use among youth with normative frequency trajectories peaking in emerging and early adulthood. Frequent binge drinking is a critical risk factor for not only the development of alcohol use disorders (AUDs) but also increased odds of alcohol-related injury and death, and thus constitutes a significant public health concern. Changes in binge drinking across development are strongly associated with changes in impulsive personality traits (IPTs) which have been hypothesized as intermediate phenotypes associated with genetic risk for heavy alcohol use and AUD. The current study sought to examine the extent to which longitudinal changes in binge drinking and intoxication frequency across adolescence and early adulthood are associated with genetic influences underlying dual-systems IPTs (i.e., top-down [lack of self-control] and bottom-up [sensation seeking and urgency] constructs) alongside genetic risk for alcohol consumption and AUD. Associations were tested using conditional latent growth curve polygenic score (PGS) models in three independent longitudinal samples (N=10,554). Results suggested consistent significant and independent associations across all samples between sensation seeking PGSs and model intercepts (i.e., higher frequency of binge drinking at first measurement occasion) and alcohol consumption PGSs and model slopes (i.e., steeper increases toward peak binge drinking frequency). Urgency PGSs were not significantly associated with changes in binge drinking or intoxication frequency. Collectively, these findings highlight the role of unique but correlated IPT and alcohol-specific genetic factors in the emergence and escalation of binge drinking during adolescence and early adulthood.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Characterisation of alcohol polygenic risk scores in the context of mental health outcomes: Within-individual and intergenerational analyses in the Avon Longitudinal Study of Parents and Children 96%
- Testing the association between tobacco and cannabis use and cognitive functioning: Findings from an observational and Mendelian randomization study 95%
- Predicting Treatment-seeking Status for Alcohol Use Disorder Using Polygenic Scores and Machine Learning in a Deeply-Phenotyped Sample 93%
Similar papers in this journal
Similar papers in this journal
- “Maternal and offspring genetic risk score (GRS) analyses of fetal alcohol exposure and ADHD risk in offspring” 95%
- Risk Factors for Mild, Moderate, and Severe Alcohol Use Disorder (AUD) in a sample of adult substance users: Implications for DSM-5 AUD Classification 93%
- A Cascade of Care for Alcohol Use Disorder: Using 2015-2018 National Survey on Drug Use and Health Data to Identify Gaps in Care 93%
Similar papers in this journal
- Alcohol Sipping Patterns, Personality, and Psychopathology in Children: Moderating Effects of Dorsal Anterior Cingulate Cortex (dACC) 97%
- Personality correlates of past-year alcohol use in individuals with severe alcohol use disorder and a lifetime history of involvement in Alcoholics Anonymous 96%
- Peripheral alcohol metabolism dictates ethanol consumption and drinking microstructure in mice 92%
Similar papers in this journal
- From Binge Drinking to Future Alcohol Severity: The Role of Emotion Regulation and Emerging Psychopathology 96%
- Alcohol use associated alterations in the circulating metabolite profile in the general population and in individuals with major depressive disorder 92%
- Impact of impaired endogenous neurosteroidogenesis on outcomes following chronic alcohol exposure. 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.