An exploratory study of alcohol dependence and problem gambling co-development trajectories in young adults
Bibliographic record
Abstract
This study examines whether there are multiple trajectories of alcohol dependence and problem gambling symptom co-occurrence in a sample (n = 679) of emerging adults. Six joint trajectory classes were identified and several baseline risk factors were associated with increased probability of being in more problematic joint trajectory classes relative to the low-risk normative class. There was no joint trajectory class characterized by both higher problem gambling risk and persistent high alcohol dependence, suggesting that alcohol dependence and problem gambling are not directly related but perhaps share common underlying causes. Contrary to this, though, none of the examined risk factors were common to both more problematic gambling and drinking trajectories. Overall, the findings (which should be considered exploratory due to small class sizes) suggest the co-development of alcohol and gambling is not uniform across all young adults, and that the reciprocal nature of this relationship in adulthood may not solidify until later in young adulthood. Future research should re-examine these findings with a larger sample, spanning further into adulthood, with additional risk factors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".