Comparison of suicidal behavior among Chinese university students before and during the COVID-19 pandemic: Findings from a two-wave cross-sectional study
Bibliographic record
Abstract
This study explores the changes in suicidal behavior among Chinese university students before and during the COVID-19 pandemic. The prevalence of lifetime suicide plan, lifetime suicidal ideation, and 12-month suicidal ideation among Chinese university students was higher during the COVID-19 pandemic compared to before the pandemic. The prevalence of lifetime suicidal ideation did not increase among students with high family economic status, whereas the prevalence of lifetime suicide attempt increased among students with poor academic performance. Women, urban household registration, poor mental health status, poor academic performance, anxiety symptoms, and depressive symptoms were associated with an increased risk of suicidal ideation. Intervention measures targeted at reducing the academic pressure and financial difficulties of university students ought to constitute a crucial component of universities' efforts to prevent student suicidal behavior following public health crises. A more representative, long-term, longitudinal study should be used to track suicidal behavior among university students.
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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) | 0.001 | 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 | 0.001 |
| 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".