Assessing a change mechanism in a randomized home-visiting trial: Reducing disrupted maternal communication decreases infant disorganization
Bibliographic record
Abstract
Although randomized interventions trials have been shown to reduce the incidence of disorganized attachment, no studies to date have identified the mechanisms of change responsible for such reductions. Maternal sensitivity has been assessed in various studies and shown to change with intervention, but in the only study to formally assess mediation, changes in maternal sensitivity did not mediate changes in infant security of attachment (Cicchetti, Rogosch, & Toth, 2006). Primary aims of the current randomized controlled intervention trial in a high-risk population were to fill gaps in the literature by assessing whether the intervention (a) reduced disorganization, (b) reduced disrupted maternal communication, and (c) whether reductions in disrupted maternal communication mediated changes in infant disorganization. The results indicated that, compared to controls (n = 52), both infant disorganization and disrupted maternal communication were significantly reduced in the intervention group (n = 65) that received regular home-visiting during pregnancy and the first year of life. Furthermore, reductions in disrupted maternal communication partially accounted for the observed reductions in infant disorganization compared to randomized controls. The results are discussed in relation to the societal cost effectiveness of early attachment-informed interventions for mothers and infants, as well as the importance of formally assessing underlying mechanisms of change in order to improve and appropriately target preventive interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".