Bibliographic record
Abstract
BACKGROUND : Multiple authors have shown paediatric sleep apnoea is seasonal reflecting respiratory infections. Other authors have speculated from animal data that obesity may reflect seasonal changes in leptin metabolism. AIMS: To determine seasonality, if any, in sleep polygraphy referral rates, body mass index, neck circumference, clinical risk of sleep apnea, perceived sleepiness, and sleep apnea severity in adult subjects. METHODS: A convenience sample of 1000+ adults referred for screening sleep polygraphy (www.sagatech.ca) were categorized by month of referral, body mass index (BMI), neck circumference, pre-test probability of sleep apnoea, Epworth score, and estimated sleep apnoea severity. Visual trends in monthly variation were confirmed if monthly variables were outside the sample interquartile range. RESULTS: Polygraphy referrals were triphasic with March, June, and September peaks. Synchronous March to April and September to October increases in BMI (1.5 to 2 kg/m2) and Epworth score (1 to 1.5 points corresponding to the known clinically significant difference) occurred without seasonal variations in neck circumference, pre-test risk of sleep apnoea, or polygraphy-estimated respiratory disturbance index. CONCLUSIONS : Synchronous spring-fall biphasic peaks in obesity and sleepiness occurred without seasonal variation in sleep apnoea risk or severity in a large adult sample. We will expand our analysis to a larger sample (20 000+) and other adult samples to confirm seasonal obesity and sleepiness. FUNDING: RCPSC and MITACS.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".