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Common and uncommon risky drinking patterns in young adulthood uncovered by person-specific computational modeling
Whitney R Ringwald1, Kasey G Creswell2, Carissa A Low3
1Department of Psychology, University of Minnesota, Twin Cities.
Young adults continue drinking despite negative consequences because it fulfills social desires. Idiographic models reveal common and unique drinking patterns, aiding harm prevention.
Area of Science:
- Psychology
- Neuroscience
- Public Health
Background:
- Alcohol use among young adults presents social benefits alongside significant risks of negative consequences.
- Understanding the drivers of alcohol consumption in at-risk young adults is crucial for harm reduction.
- Existing research methods struggle to capture the complex, heterogeneous nature of individual drinking patterns.
Purpose of the Study:
- To investigate common and unique drinking patterns in young adults experiencing negative consequences.
- To utilize idiographic computational models to overcome limitations of previous research methods.
- To identify specific cognitive, motivational, and emotional factors associated with drinking behaviors.
Main Methods:
- A sample of 97 young adults with regular binge drinking and negative consequences participated.
- Daily surveys were administered for 120 days, collecting data on alcohol consumption and psychological constructs.
- Temporal network analysis was employed to model individual drinking patterns and identify dynamic relationships.
Main Results:
- Common drinking patterns showed increased consumption linked to expectations of positive outcomes, motivation for intoxication, and social enhancement, leading to mixed consequences.
- Subsets of participants exhibited uncommon drinking patterns, distinct from the majority.
- The findings highlight both shared and individual-specific processes influencing alcohol use.
Conclusions:
- Young adults may persist in drinking despite negative outcomes due to the fulfillment of desires for fun and social connection.
- Uncommon drinking patterns identified in subsets of individuals may indicate underlying risk or resilience factors.
- Idiographic modeling offers a powerful approach to understanding complex individual behaviors in young adults.
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