Cumulative Effects of Prenatal and Concurrent Maternal Distresson Psychiatric Disorders in Adolescent Offspring
Bibliographic record
Abstract
Background: Mental disorders affect 20% of children and adolescents globally and are among the most chronic and costly problems affecting youth. Offspring exposure to maternal disorders (depression, anxiety, and/or stress) prenatally as well as in adolescence increases the risk of psychopathology in adolescence. Objective: Exposure to maternal distress in pregnancy, as well as in adolescence, has independently been linked to psychopathology in youth. However, our understanding of the cumulative effects of exposure to maternal distress over time remains incomplete. Methods: 1964 participants enrolled in the 2014 Ontario Child Health Study (OCHS) aged 12-17 years completed the Mini-International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). Maternal prenatal distress was defined as mother-reported depression and/or anxiety during pregnancy requiring treatment. Maternal concurrent distress was self-reported when offspring were 12-17 years of age using the Kessler Psychological Distress Scale (K6). We examined associations between increasing levels of exposure to maternal distress (no exposure, prenatal exposure only, concurrent exposure only, both prenatal and concurrent exposure) and the risk of psychiatric disorder in 12-17-year-olds. Results: The odds of major depressive disorder (OR=1.29, 95% CI: 1.01-1.67) and ADHD (OR=1.30, 95% CI: 1.02-1.65) increased with increasing exposure to maternal distress. Associations between increasing levels of maternal distress and several psychiatric disorders were amplified in males. Conclusions: The accumulation of exposure to maternal distress over time predicts offspring psychopathology in adolescence and emphasizes the significance of the early detection of maternal distress and ongoing monitoring and intervention to reduce the burden of mental disorders in offspring.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".