Mother–child interactions and child anger proneness as antecedents of changes in sleep during the preschool period.
Bibliographic record
Abstract
Age-related developments in sleep during the preschool years are normative and consequential. Yet, very few studies have examined the antecedents of individual differences in such developments, and most have used parental reports of child sleep. This study aimed to investigate the roles of mutual responsiveness in mother-child interactions and child temperamental anger proneness in the prediction of changes in sleep during the preschool period. The sample was comprised of 94 children (44 girls, 50 boys) of mostly White (93%) and college-educated (85%) mothers. Mother-child mutual responsiveness and child anger proneness were assessed at 2 years, and sleep was assessed using actigraphy at the ages of 2, 3, and 4 years. Multilevel growth models revealed that higher temperamental anger proneness was concurrently associated with lower sleep efficiency and shorter nighttime sleep duration at 2 years. In regard to changes in sleep, nighttime sleep duration decreased between 2 and 4 years among children exposed to lower mutual responsiveness in interactions with their mothers. High anger proneness was related to an increase in sleep efficiency from 2 to 4 years, whereas low anger proneness was associated with a decrease in nighttime duration during the same period. No interactive effect was found between anger proneness and mother-child mutual responsiveness. These results suggest that mother-child relationships and child temperament may play different roles, not only in children's concurrent sleep patterns but also in changes in sleep across the preschool period. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".