No relation between sleep duration and adiposity indicators in 9–36 months old children: the <scp>SKOT</scp> cohort
Bibliographic record
Abstract
BACKGROUND: Epidemiological studies in adults and children have repeatedly reported an association between short sleep duration and the risk of obesity. Studies using both objective measurements of sleep and dual-energy X-ray absorptiometry in children aged three are, however, lacking. OBJECTIVE: The study aims to examine both the longitudinal and cross-sectional associations between sleep duration and adiposity indicators in children aged 3 and younger. METHODS: On a cohort of 311 infants born at term, we used parent-reported sleep duration at 9 months, 18 months and 3 years of age, and accelerometer estimated nocturnal sleep duration at 3 years of age. Sleep duration at 9 and 18 months were used to predict adiposity at 3 years of age. RESULTS: We found no associations between any of the adiposity indicators at 3 years of age and (i) parent-reported total sleep duration at 9 months, 18 months and 3 years, and (2) nocturnal sleep duration measured with accelerometry at 3 years of age. Multivariate adjustments were used in both approaches. CONCLUSION: Our results do not support the hypothesis that short sleep duration is associated with increased adiposity in this cohort of young Danish children.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".