COVID-19 and mental health among college students in the southwestern United States
Bibliographic record
Abstract
Objective: We examined COVID-19-related experiences, mental health, and future plans among US undergraduate and graduate students in the initial months of the pandemic. Participants: 72 students (68% female; 51.4% white; age x– =24.4) from 21 colleges in the US southwest concurrently enrolled in a stress-reduction study. Methods: Between March and June 2020, participants completed an online survey about demographics, personal and vicarious COVID-19 experiences, mood, and future plans. Anxiety and depression symptoms were assessed with the GAD-7 and PHQ-9, respectively. Results: Worry about COVID-19 was associated with anxiety and depression symptoms and personal and vicarious experiences with COVID-19. COVID-19 worry varied by illness severity and level of intimacy with those impacted. Most participants reported changing educational (66.7%) and life (55.6%) plans due to COVID-19. Conclusions: Given the continued impact of COVID-19 on physical/emotional health and future plans, universities should assist students in managing COVID-19-related stress so they can continue to learn and grow.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".