Risk Factors for Cannabis Use-Related Consequences in Emerging Adults
Bibliographic record
Abstract
Cannabis use in Canada is a public health concern, especially it has been legalized for medical and recreational use. Although widely used, it appears there are negative consequences for some, but not all, cannabis consumers, and it remains challenging to predict which individuals will experience difficulties. This study examines the role of several risk factors in predicting negative outcomes of cannabis use in university students with a particular focus on personality and mental health variables. Undergraduate students (N=370) enrolled in a southwestern Ontario university participated in an online study. Preliminary analyses suggested that higher stress and lower conscientiousness were associated with cannabis use. In follow-up analyses, perceived stress was significantly associated with functional consequences of cannabis use when the quantity of cannabis used was accounted for in the analyses. Agreeableness and conscientiousness were significantly associated with overall GPA after controlling for amount of cannabis used. Individuals using low-to-moderate levels of cannabis had fewer functional consequences than individuals using higher amounts of cannabis, but these groups could not be differentiated in terms of their overall GPA. These results address a niche in the field of cannabis research in higher education and have significant implications in terms of policy and clinical practice.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".