Testing a diathesis-stress model during the transition to university: Associations between self-criticism, stress, and internalizing problems
Bibliographic record
Abstract
Objective To test a diathesis-stress model whereby self-criticism interacts with monthly perceived stress to predict same-month or next-month internalizing problems, including depression, anxiety, nonsuicidal self-injury (NSSI), and suicidal ideation, in students transitioning to university. Participants: 704 students (73% female, Mage = 17.97) were recruited during their first month of university in 2017 and 2018. Methods: Students completed surveys assessing self-criticism, perceived stress, and internalizing problems from September to April. Results: Self-criticism predicted higher depression and anxiety, as well as odds of NSSI and suicidal ideation, in students’ first month on campus. Consistent with a diathesis-stress model, self-criticism strengthened the associations between stress and same-month depression and anxiety. Conclusions: Self-critical students are at elevated risk of internalizing problems during the transition to university, particularly when they feel more stressed than usual. These findings elucidate which students should be targeted in interventions and when interventions should be delivered to curtail internalizing problems.
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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) | 0.000 | 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".