0553 Hallucinogen Use Among College and University Students: Associations with Insufficient Sleep and Insomnia
Bibliographic record
Abstract
Abstract Introduction Previous studies have shown that poor sleep is associated with alcohol use, smoking, and other substance use, especially among young adults. Yet, very little is known about hallucinogen use. Methods Data from the 2011-2014 National College Health Assessment were used (N=113,749), representing a wide range of students across the US. Hallucinogen use was reported as “never,” “past,” and “present” (reflecting use in the past 30 days). Students also self-reported nights/week they did not get enough sleep to feel rested (insufficient sleep), as well as nights/week they had difficulty falling asleep (initial insomnia). Responses for both were categorized as 0, 1-2, 3-4, 5-6, or 7 nights/week. Multinomial logistic regressions examined hallucinogen use as outcome (past or present vs never) and sleep as predictor, with adjustment for covariates (age, sex, race/ethnicity, and survey year) and mental health (past 30 days depression/anxiety). Results Hallucinogen use was infrequently reported, with 4.8% (N=5,493) reporting past use and 0.98% (N=1,119) reporting present use. In adjusted analyses, increase likelihood of past use was associated with insufficient sleep on 1-2 (RRR=1.28, p=0.001), 3-4 (RRR=1.37, p<0.0005), 5-6 (RRR=1.30, p<0.0005), and 7 (RRR=1.34, p<0.0005) nights per week, as well as 1-2 (RRR=1.30, p<0.0005), 3-4 (RRR=1.52, p<0.0005), 5-6 (RRR=1.58, p<0.0005), and 7 (RRR=1.49, p<0.0005) nights per week of initial insomnia. Present use was associated with 1-2 (RRR=1.44, p<0.0005), 3-4 (RRR=1.76, p<0.0005), 5-6 (RRR=2.05, p<0.0005), and 7 (RRR=1.83, p<0.0005) nights per week of initial insomnia. When mental health was entered into the model, results were maintained. Conclusion Past use of hallucinogens was associated with insufficient sleep as well as insomnia. Present use was also associated with insomnia. When mental health was included in models, all results were maintained. It is not clear whether hallucinogen use leads to, or is predicted by, sleep difficulties. Support Dr. Grandner is supported by R01MD011600
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.008 | 0.001 |
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".