Establishment and consolidation of the sleep-wake cycle as a function of attachment pattern
Bibliographic record
Abstract
The development of sleep-wake regulation in infants depends upon brain maturation as well as various environmental factors. The aim of the present study was to evaluate sleep duration and quality as a function of child attachment to the mother. One hundred and thirty-four mother-child dyads enrolled in the Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) project were included in this study. Attachment was assessed with the Strange Situation procedure at 36 months and maternal sleep reports were collected at 6, 12, 24 and 36 months. Differences in sleep characteristics were assessed with mixed models with one factor (attachment group) and one repeated measure (age). Children classified as disorganized had a significantly lower duration of nocturnal sleep, went to bed later, signaled more awakenings, had shorter periods of uninterrupted sleep (only at 12 months) and had shorter periods of time in bed (only at 6 months) than children classified as secure and/or ambivalent (p < 0.05). This is the first study to show that children with insecure disorganized attachment present a distinct sleep pattern in comparison with those with secure or ambivalent attachment between 6 and 36 months of age. Sleep disturbances could exacerbate difficulties in these families that are already considered vulnerable.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".