Depression in early adolescence: Contributions from relational aggression and variation in the oxytocin receptor gene
Bibliographic record
Abstract
Interpersonal stress arising from relational aggression (RA)-the intentional effort to harm others via rejection and exclusion-may increase risk for depression in youth. Biological vulnerabilities related to the hormone oxytocin, which affects social behavior and stress responses, may exacerbate this risk. In a community sample of 307 youth (52% female; age range = 10-14 years), we tested whether (1) the association between RA and subsequent depressive symptoms was mediated through social problems and (2) a single nucleotide polymorphism (rs53576) in the oxytocin receptor gene (OXTR) moderated this indirect association between RA and depression, where GG homozygotes are predicted to be more sensitive to the effects of social problems than A-allele carriers. Youth-reported RA and depressive symptoms were measured using a structured interview and a questionnaire, respectively. DNA was extracted from saliva collected with Oragene kits. Consistent with the interpersonal theory of depression, the association between relational aggression and subsequent depressive symptoms was mediated by social problems. This indirect effect was further moderated by rs53576 genotype, such that GG homozygotes showed a stronger mediation effect than A-carriers. These results suggest that rs53576 variants confer vulnerability for depression within the context of interpersonal risk factors, such that youth with the GG genotype may be particularly sensitive to the social consequences resulting from RA.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".