Treatment of Maternal Depression in a Medication Clinical Trial and Its Effect on Children
Bibliographic record
Abstract
OBJECTIVE: Observational studies show that when a depressed mother's symptoms remit, her children's psychiatric symptoms decrease. Using randomized treatment assignment, the authors sought to determine the differential effects of a depressed mother's treatment on her child. METHOD: The study was a randomized double-blind 12-week trial of escitalopram, bupropion, or the combination of the two in depressed mothers (N=76), with independent assessment of their children (N=135; ages 7-17 years). RESULTS: There were no significant treatment differences in mothers' depressive symptoms or remission. Children's depressive symptoms and functioning improved significantly among those whose mothers were in the escitalopram group (compared with those whose mothers were in the bupropion and combination treatment groups). Only in the escitalopram group was significant improvement of mother's depression associated with improvement in the child's symptoms. Exploratory analyses suggested that this may be due to changes in parental functioning: Mothers in the escitalopram group reported significantly greater improvement, compared with the other groups, in their ability to listen and talk to their children, who as a group reported that their mothers were more caring over the 12 weeks. Maternal baseline negative affectivity appeared to moderate the effect of maternal treatment on children, although the effect was not statistically significant. Children of mothers with low negative affectivity improved in all treatment groups. Children of mothers with high negative affectivity improved significantly only for those whose mothers were in the escitalopram group. CONCLUSIONS: The effects of the depressed mother's improvement on her children may depend on her type of treatment. Depressed mothers with high anxious distress and irritability may require medications that reduce these symptoms in order to show the effect of her remission on her children.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".