A cross-sectional examination of sudden-death bereavement in university students
Bibliographic record
Abstract
Objectives The objective of this research was to determine the unique contributions of sudden death bereavement to the mental health of university students compared to non-sudden death bereaved university students. Methods: We surveyed 1047 bereaved university students (retention rate 92%) and compared the non-sudden death bereaved university student population to the sudden death bereaved university population on outcomes including mental health symptomatology, and complicated grief using logistic regressions. Results: Sixty two percent of the sample reported sudden death bereavement. There were no differences on measures of PTSD, generalized anxiety disorder, depression, suicidal ideation, and at-risk drinking behavior across types of bereavement. However, sudden death bereavement compared to general bereavement was associated with increased likelihood of complicated grief. Conclusions: Sudden death bereavement in university students is associated with elevated risk of complicated grief. These findings confirm previous research and provide more insight into the unique needs of university student coping with sudden loss.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".