Development of sleep patterns in children with obese and normal‐weight parents
Bibliographic record
Abstract
AIM: To study the sleep development and sleep characteristics in children at different obesity risks, based on parental weight, and also to explore their weekday-weekend sleep variations and associated family factors. METHODS: A total of 145 children participating in a longitudinal obesity prevention project were included, of which 37 had normal-weight parents (low obesity risk), and 108 had overweight/obese parents (high obesity risk). Sleep diaries at ages 1 and 2 years were used to study sleep development in children at different obesity risks. Objectively assessed sleep using an accelerometer at 2 years of age was used to analyse weekday-weekend sleep variations. RESULTS: There was no difference in sleep development from age 1 to age 2 among children at different obesity risks, but more children in the high-risk group had prolonged sleep onset latency and low sleep efficiency. At 2 years of age, children in the high-risk group had more weekday-weekend variation in sleep offset (mean difference 18 min, 95% confidence interval (CI) 4-33 min), midpoint of sleep (mean difference 14 min, 95% CI 3-25 min) and nap onset (mean difference 42 min, 95% CI 10-74 min) than children in the low-risk group, after adjusting for other family factors. However, no difference could be detected between groups in weekday-weekend variation in sleep duration. CONCLUSIONS: Unfavourable sleep characteristics, as well as more variation in sleep schedules, have been observed in children at high obesity risk. While the differences were relatively small, they may reflect the unfavourable sleep hygiene in families at high obesity risk.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".