Child‐care quality moderates the association between maternal depression and children's behavioural outcome
Bibliographic record
Abstract
BACKGROUND: Maternal depression is a risk factor for adverse outcomes in the child, including emotional and behavioural difficulties. There is evidence that child care attendance during the preschool years may moderate associations between familial risk factors and child outcome. However, the possibility that high-quality child care provides protection for children exposed to maternal depression or that low-quality child care provides additional risk has not been investigated. We study whether child-care quality moderates the association between probable history of maternal depression (PMD) and child behavioural and emotional outcomes over the preschool period. METHODS: Within a longitudinal study, we examined PMD (no depression; clinical PMD before the child's birth; subclinical PMD from 0 to 5 years; clinical PMD from 0 to 5 years), child-care quality and child emotional and behavioural difficulties at the ages of 2, 3 and 4 years. Child-care quality was evaluated in settings, and trajectories were calculated to reflect (a) global quality and (b) two quality subfactors: 'Teaching and interactions' and 'Provision for learning'. Data were analysed for 264 families. RESULTS: Significant interactions emerged between clinical PMD and global quality of child care for children's externalising behaviour (b = -.185, p = .008), more specifically hyperactivity/inattention (b = -.237, p = .002). In the context of clinical PMD, children attending high-quality child care presented fewer difficulties than those attending a low-quality care. Child-care quality was not associated with outcomes for children whose mothers did not report a PMD or a PMD before their birth. CONCLUSIONS: In the context of PMD, high-quality child care was associated with fewer behavioural problems and may thus constitute a protective factor.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".