NATIONAL SLEEP DAY 2007 IN THE NETHERLANDS: RESULTS OF A WEB-BASED QUESTIONNAIRE ABOUT SLEEP AND OVERWEIGHT
Bibliographic record
Abstract
‘Sleep and Overweight’ was chosen by the Dutch Organization for Sleep-Wake Research (NSWO) as the leading theme of the National Sleep Day of 2007. As one of the preparatory activities for this annual publicity campaign for the importance of sleep, and in close cooperation with the three Dutch patients’ organizations the Restless Legs Foundation, the Dutch Association of Apnea Patients and the Dutch Association for Narcolepsy a web-based questionnaire was constructed, with the intention to collect data from various patient and control groups related to this theme. The present brief report summarizes the findings of this web-based poll. The theme ‘Sleep and Overweight’ was chosen because recent studies have indicated that there might be a direct link between sleeping less and gaining weight. Thus, according to a Canadian study among 422 grade school children aged 5 to 10, the risk of becoming overweight appeared to be 3.5 times higher in those children who slept less than 10 hours a night than in those who slept 12 or more hours. No other factor analyzed in the study – parental obesity, parents’ level of education, family income, time spent in front of the TV or computer, regular physical activity – had as much of an impact on body weight than time spent sleeping. Laboratory studies in healthy young volunteers have shown that experimental sleep restriction is associated with reduced leptin and elevated ghrelin levels, possibly explaining an upregulation of appetite, and with alterations in parameters of glucose tolerance suggestive of an increased risk of diabetes. The results presented in this report support the main conclusion from these and other reports by showing that patients suffering from a sleep disorder had less sleep and a higher BMI (Body Mass Index) than good sleepers.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".