Predictive links between genetic vulnerability to depression and trajectories of warmth and conflict in the mother–adolescent and father–adolescent relationships.
Bibliographic record
Abstract
The present study used a genetically informed design of twins raised in the same family (375 monozygotic and 290 dizygotic twins; 50.2% girls) to examine the association between adolescents' genetic risk for depressive symptoms and the course of the parent-child relationship quality throughout adolescence. Depressive symptoms and the quality of the parent-adolescent relationships were measured through adolescents' self-reports from ages 13 to 17. Group-based trajectory modeling revealed that most adolescents experienced high-quality relationships with both of their parents, characterized by high levels of warmth and low levels of conflict, and marked by gradual changes over adolescence. However, 3% of adolescents showed a trajectory of high and increasing conflict with their mothers and 16% of adolescents showed a trajectory of low warmth with their fathers, which decreased until mid-adolescence before increasing thereafter. Moreover, in line with an evocative gene-environment correlation process, a higher genetic vulnerability to depressive symptoms increased the likelihood of following a more problematic relationship trajectory with parents. This rGE was mediated by adolescents' actual depressive behavior symptoms. Results also suggest that adolescents' depression symptoms may affect girls' and boys' relationship with their parents in a similar way, with specific sex-patterns revolving more around the sex of the parent. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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 | 0.001 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".