Promising Results From a Video-Feedback Interaction Guidance Intervention for Improving Maternal–Infant Interaction Quality of Depressed Mothers: A Feasibility Pilot Study
Bibliographic record
Abstract
BACKGROUND: Mothers and infants affected by postpartum depression are known to have (1) reduced quality interactions and (2) elevated cortisol levels, both of which are linked to negative developmental outcomes in children. Parent training promoting sensitive and responsive maternal-infant interactions may help optimize development in children of mothers with postpartum depression. OBJECTIVES: This pilot study tested a video-feedback interaction guidance intervention designed to improve maternal-infant interaction, depressive symptoms, and cortisol patterns of depressed mothers and their infants. METHOD: = 6) conditions. Intervention mothers received three video-feedback sessions during home visits, provided at three-week intervals. Control participants received three home visits on the same schedule. RESULTS: Significant differences favoring the intervention group were observed in maternal-infant interaction quality, especially maternal sensitivity and cognitive growth fostering activities, and in reduced infant diurnal cortisol. CONCLUSION: Professionally guided video-feedback intervention appears to support improvements in interactions between depressed mothers and their infants and optimizes infants' diurnal cortisol patterns. The findings from this feasibility pilot study have been used to support a large-scale follow-up exploration.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| 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".