Maternal Lifetime Depressive/Anxiety Disorders and Children's Internalizing Symptoms: The Importance of Family Context.
Bibliographic record
Abstract
OBJECTIVES: This study investigated the interaction effects between mothers' lifetime depressive/anxiety disorders and other psychosocial correlates of 6 to 11 year-old children's self-reported internalizing symptoms in the Quebec Child Mental Health Survey. METHOD: A representative subsample of 1,490 Quebec children aged 6 to 11 years was selected from the original sample. Multiple linear regression analyses were performed using children's internalizing symptoms and child, family and socioeconomic characteristics. RESULTS: Four variables interacted significantly with mothers' lifetime depressive/anxiety disorders to predict 6 to 11 year-old children's internalizing symptoms: child age (t=2.415, P=0.016), mother's caring behaviours (t=2.950, P=0.003), mother's punitive behaviours (t=2.629, P=0.009) and parental social support (t=2.272, P=0.023). CONCLUSION: Results highlight the important contribution of the family context to the intergenerational transmission of internalizing symptoms and the relevance of taking into account children's developmental period. They support the importance of early screening of children's self-reported internalizing symptoms, among children of depressed/anxious parents. It is suggested to develop preventive intervention programs oriented towards children of depressed/anxious parents and exposed to relational difficulties.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".