Moderating effects of maternal emotional availability on language and cognitive development in toddlers of mothers exposed to a natural disaster in pregnancy: The QF2011 Queensland Flood Study
Bibliographic record
Abstract
BACKGROUND: Prenatal maternal stress exposure has been linked to sub-optimal developmental outcomes in toddlers, while maternal emotional availability is associated with better cognitive and language abilities. It is less clear whether early care-giving relationships can moderate the impact of prenatal stress on child development. The current study investigates the impact of stress during pregnancy resulting from the Queensland Floods in 2011 on toddlers' cognitive and language development, and examines how maternal emotional availability is associated with these outcomes. METHODS: Data were available from 131 families. Measures of prenatal stress (objective hardship, cognitive appraisal, and three measures of maternal subjective stress) were collected within one year of the 2011 Queensland floods. Maternal emotional availability was rated from video-taped mother-child play sessions at 16 months: sensitivity (e.g., affective connection, responsiveness to signals) and structuring (e.g., scaffolding, guidance, limit-setting). The toddlers' cognitive and language development was assessed at 30 months. Interactions were tested to determine whether maternal emotional availability moderated the relationship between prenatal maternal stress and toddler cognitive and language functioning. RESULTS: Prenatal stress was not correlated with toddlers' cognitive and language development at 30 months. Overall, the higher the maternal structuring and sensitivity, the better the toddlers' cognitive outcomes. However, significant interactions showed that the effects of maternal structuring on toddler language abilities depended on the degree of prenatal maternal subjective stress: when maternal subjective stress was above fairly low levels, the greater the maternal structuring, the higher the child vocabulary level. CONCLUSION: The current study highlights the importance of maternal emotional availability, especially structuring, for cognitive and language development in young children. Findings suggest that toddlers exposed to higher levels of prenatal maternal stress in utero may benefit from high maternal structuring for their language development.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".