Trait Impulsivity Impedes Maturing Out of Problem Drinking Among Socially Anxious Undergraduates
Bibliographic record
Abstract
AIMS: Alcohol use follows a developmental trajectory-steadily increasing and peaking in the early stages of emerging adulthood (e.g. first year of university) and declining thereafter. While most individuals 'mature out' of problem drinking as they move through emerging adulthood, some continue to drink heavily and experience serious problems. Tension reduction theory identifies social anxiety (SA) as a potential risk factor for problem drinking during emerging adulthood. However, mixed data suggest that the associations between SA and drinking behaviours are not straightforward. Cross-sectional studies demonstrate that socially anxious emerging adults are at risk for problem drinking, but only if they are also high in trait impulsivity. This study aimed to expand on previous work by examining trait impulsivity as moderator of the prospective associations between SA and maturing out of problem drinking in emerging adulthood. METHODS: Undergraduates (N = 302) completed online self-reports at regular intervals (6-months) over an 18-month period, resulting in four waves of data. RESULTS: Unconditional latent growth curve models indicated that alcohol problems (but not use) declined linearly over time. Next, conditional growth curve models revealed that SA was associated with impeded maturing out of alcohol problems, but this effect was only present in socially anxious participants with high levels of trait impulsivity. CONCLUSION: Our study advances growing literature on the crucial moderating role that impulsivity plays in the SA pathway to problem drinking. Clinical interventions for problem drinking among socially anxious students should both assess for and target concurrent impulsivity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".