A Combination of Impulsivity Subdomains Predict Alcohol Intoxication Frequency

Area of Science:

• Psychology
• Neuroscience
• Public Health

Background:

• Impulsivity is linked to college student alcohol misuse.
• Impulsivity is multidimensional, with different facets potentially influencing distinct alcohol misuse patterns.
• This study investigates the relationship between specific impulsivity domains and alcohol intoxication and consumption frequencies.

Purpose of the Study:

• To quantify the association between alcohol intoxication and consumption frequencies and various domains of impulsivity (choice, action, cognitive, trait).
• To identify which impulsivity subdomains predict different patterns of alcohol misuse in university students.
• To explore the predictive power of impulsivity measures compared to other risk factors.

Main Methods:

• 106 university student drinkers completed self-report and task-based impulsivity measures.
• Latent factors for intoxication and alcohol consumption frequencies were derived and validated.
• Machine learning, including penalized regression and feature selection, was used to predict alcohol use frequencies from impulsivity subdomains, with out-of-sample validation.

Main Results:

• Impulsivity measures significantly predicted intoxication frequency but not consumption frequency.
• Higher intoxication frequency was associated with increased trait impulsivity (Disinhibition, Attentional, Non-planning), cognitive impulsivity (response time variability), and choice impulsivity (delay discounting).
• A comprehensive model including other risk factors did not outperform a model based solely on impulsivity domains.

Conclusions:

• Specific subdomains of impulsivity are significant predictors of intoxication frequency in college students.
• Impulsivity does not appear to be a significant predictor of alcohol consumption frequency.
• These findings highlight the nuanced relationship between different facets of impulsivity and patterns of alcohol misuse.