Daily Stressors and Nonsuicidal Self-Injury Urges and Behaviors in Post-Secondary Students
Bibliographic record
Abstract
The post-secondary years are marked by heightened stressors and nonsuicidal self-injury (NSSI) among emerging adults. However, the effects of university stressors on NSSI in daily life remains poorly understood. In the present study, the associations among several university stressors and NSSI urges and behaviors were examined, and the moderating role of gender was explored. The sample included 130 students (72% cisgender women, M age = 17.96), who completed a baseline assessment followed by 14 days of daily entries, yielding 1,625 assessments. Hierarchical linear modeling revealed that total stressor occurrence predicted same-day NSSI urges and behaviors, though gender did not moderate these associations. Interpersonal stressors were linked to same-day NSSI urges and behaviors, as well as next-day urges. Balancing responsibilities were associated with same-day NSSI urges, and low grades predicted both same-day urges and behaviors. These findings emphasize the importance of post-secondary institutions tailoring mental health programs to address students’ unique needs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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 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".