The association between depression, anxiety and substance use among Canadian post-secondary students
Why this work is in the frame
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Bibliographic record
Abstract
Purpose: This study aims to examine the association between depression, anxiety and substance use among Canadian post-secondary students. Methods: This study used data from the spring 2016, American College Health Association – National College Health Assessment II (ACHA-NCHA II) survey. It includes 43,780 college students from 41 Canadian post-secondary institutions. The exposure variables of interest were alcohol, cannabis and tobacco use, and the outcome variables of interest were diagnosis or treatment for depression and/or anxiety. Descriptive statistics, univariate and multivariate logistic regression models were used to analyze our data. Results: Our study found that 14.7% of post-secondary students were diagnosed or treated for depression and 18.4% for anxiety within the past 12 months. Among current (past 30 days) substance use, it was reported that alcohol (69.3%), cannabis (17.9%) and tobacco (11%) were the most common. There was a significant association between depression and current tobacco use (OR =1.36, 95% CI: 1.22–1.52, P <0.001) and current cannabis use (OR =1.17, 95% CI: 1.05–1.31, P <0.001). There was also a gender-specific association between anxiety and female alcohol users (OR =1.41, 95% CI: 1.24–1.62, P <0.001). Conclusion: The results of this study found significant associations between depression, tobacco use and cannabis use, and anxiety and alcohol use among post-secondary students. These conditions should be screened concurrently for improved outcomes among this vulnerable population. Keywords: depression, anxiety, alcohol, cannabis, tobacco, post-secondary students
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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 it