Longitudinal associations between the quality of parent−child interactions and children's sleep at preschool age.
Bibliographic record
Abstract
This study aimed to examine the prospective longitudinal links between the quality of mother-child and father-child interactions and preschoolers' sleep. Three dimensions of maternal interactive behavior were considered using 70 mother-child dyads, while the quality of father-child interactions was assessed using 41 of these families. Maternal mind-mindedness was assessed at 12 months during a mother-infant free-play sequence, maternal sensitivity was rated at 12 months based on observations performed throughout a home visit, maternal autonomy support was assessed at 15 months with a 10-min problem-solving situation, and the quality of father-child interactions was scored at 18 months, during father-child free play. Children's sleep was assessed at 3 and 4 years using a sleep diary completed by mothers during 3 consecutive days. Results indicated that, after controlling for family socioeconomic status and daycare attendance, the quality of both mother-infant and father-infant interactions was positively related to children's percentage of night-time sleep at preschool age. These findings add to previous literature in suggesting that early caregiving behavior by both mothers and fathers is related to subsequent child sleep.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".