Personality of parents with bipolar disorder and interpersonal functioning among their offspring: A prospective 10-year study
Bibliographic record
Abstract
A comparison of offspring of parents with bipolar disorder (OBD) and offspring of parents with no mental disorder (ONMD) showed that parents' neuroticism was associated with internalizing and externalizing problems among their children. The present study examined whether parents' neuroticism predicted poor interpersonal functioning among offspring 10 years later and whether the problems observed in middle childhood mediated the association between parents' neuroticism and offspring functioning. When offspring were in middle childhood, parents completed the revised NEO Personality Inventory and rated the child's behavior on the Child Behavior Checklist. Ten years later, 65 OBD and 59 ONMD completed interviews assessing mental disorders and interpersonal and noninterpersonal functioning. High neuroticism and low agreeableness in parents predicted poor interpersonal functioning in their offspring in late adolescence-early adulthood. The offspring's externalizing and internalizing problems in middle childhood partially mediated the association between parents' personality and offspring interpersonal functioning. Moreover, the association between parents' neuroticism and offspring internalizing problems was stronger among the OBD than the ONMD. Overall, the results suggested an intergenerational transmission of risk whereby high neuroticism and low agreeableness in parents were associated with behavioral problems among offspring in middle childhood that, in turn, predicted poor interpersonal functioning 10 years later.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".