Does worry moderate the relation between aggression and depression in adolescent girls?☆
Bibliographic record
Abstract
Aggressive girls, more so than aggressive boys, are at an increased risk for depression. Despite disconcerting outcomes, few researchers have examined factors that may attenuate or exacerbate the relation between aggression and depression. Competing hypotheses for explaining the role of worry in the relation between aggressive behaviour and depressive symptoms, commonly co-occurring problems in girls, have been proposed. In the present study, we examined worry as a possible moderator in the relation between girls nominated as aggressive by their peers and self-reported depressive symptoms in a sample of 226 girls aged 13 (M = 12.92, SD = 1.28) at Time 1. We found that worry exacerbated the risk of depressive symptoms concurrently and one year later for physically aggressive girls, but not relationally aggressive girls. These results suggest that worry plays an important role in the prediction of depression for aggressive girls, which varies by the form aggression takes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".