Adverse Childhood Experiences and Problematic Cannabis Use: The Role of Emotion Dysregulation and Affective Impulsivity
Bibliographic record
Abstract
Problematic cannabis use is highly prevalent among postsecondary students. Consequently, there is a need to examine risk factors associated with problematic cannabis use in this population. The present study investigated whether emotion dysregulation mediates the relationship between adverse childhood experiences (ACEs) and problematic cannabis use, and whether affective impulsivity (negative and positive urgency) uniquely moderates this relationship. Participants consisted of current cannabis users (N = 586) recruited from five universities across Canada. Participants completed an online survey containing self- report measures of ACEs, emotion dysregulation, negative and positive urgency, and problematic cannabis use. Among the sample of postsecondary students, 36% (n = 213) met the threshold for problematic cannabis use. Moderated-mediation analyses revealed that ACEs were positively associated with emotion dysregulation and problematic cannabis use. There was also a significant indirect effect of emotion dysregulation on the association between ACEs and problematic cannabis use at moderate and high (but not low) levels of negative urgency, and at moderate and high (but not low) levels of positive urgency. The moderated-mediation models remained significant when controlling for other facets of impulsivity. Results suggest that elevated levels of emotion dysregulation and urgency are important proximal risk factors for problematic cannabis use among postsecondary students with a history of ACEs. While ACEs cannot be modified given their occurrence in the past, interventions that aim to build mindfulness and adaptive emotion regulation skills may be beneficial for reducing the likelihood that these students will engage in impulsive behaviors, such as cannabis use, when experiencing emotional distress.
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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 | 0.001 | 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".