Sleep in Infants with Down Syndrome or Familial Likelihood of Autism in the First Year of Life
Bibliographic record
Abstract
Sleep problems have been associated with atypical development, but there is limited understanding of when sleep problems arise and how they differ across clinical populations. We aimed to evaluate sleep characteristics of infants with Down syndrome (DS), higher familial likelihood of autism (HL) and lower familial likelihood of autism (LL) at 6 and 12 months of age. Participants were from two longitudinal, multi-site, studies. Sleep was estimated by parent report on the Brief Infant Sleep Questionnaire at 6 months (59 DS, 173 HL, 54 LL); 12 months (58 DS, 129 HL, 30 LL); and in a longitudinal subset at both 6 and 12 months (100 HL; 23 LL; 33 DS). At 6-months, DS parents reported less concern about infant sleep and less night wakefulness than LL parents; HL parents reported longer sleep onset latency (SOL). At 12 months DS parents reported less night sleep and more night wakefulness; HL parents reported less night sleep, more night wakefulness and longer SOL compared to LL. Night wakefulness increased significantly in the DS and HL groups from 6 to 12 months of age. A higher proportion of DS and HL infants decreased Night Sleep and increased Night Wakefulness compared with the LL group. A higher proportion of DS infants increased SOL compared with the LL group. Sleep alterations are present in the first year of life and may differ in DS and HL infants. The mechanisms behind these sleep alterations may be an important early intervention target.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".