Promotion of Positive Parenting and Prevention of Socioemotional Disparities
Bibliographic record
Abstract
OBJECTIVE: The goal of this study was to determine what effects pediatric primary care interventions, focused on promotion of positive parenting through reading aloud and play, have on the socioemotional development of toddlers from low-income, primarily immigrant households. METHODS: This randomized controlled trial included random assignment to 1 of 2 interventions (Video Interaction Project [VIP] or Building Blocks [BB]) or to a control group. Mother-newborn dyads were enrolled postpartum in an urban public hospital. In VIP, dyads met with an interventionist on days of well-child visits; the interventionist facilitated interactions in play and shared reading through provision of learning materials and review of videotaped parent-child interactions. In BB, parents were mailed parenting pamphlets and learning materials. This article analyzes socioemotional outcomes from 14 to 36 months for children in VIP and BB versus control. RESULTS: A total of 463 dyads (69%) contributed data. Children in VIP scored higher than control on imitation/play and attention, and lower on separation distress, hyperactivity, and externalizing problems, with effect sizes ∼0.25 SD for the sample as a whole and ∼0.50 SD for families with additional psychosocial risks . Children in BB made greater gains in imitation/play compared with control. CONCLUSIONS: These findings support the efficacy of VIP, a preventive intervention targeting parent-child interactions, for enhancing socioemotional outcomes in low-income toddlers. Given the low cost and potential for scalability of primary care interventions, findings support expansion of pediatric-based parenting programs such as VIP for the primary prevention of socioemotional problems before school entry.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".