The association between sleep duration and obesity amongst Canadians aged 12 and over
Bibliographic record
Abstract
Obesity is a medical condition in which excess body fat has accumulated to the extent that it may trigger risk of chronic illness, reduce life expectancy, and affect quality of life. Body Mass Index (BMI), which relates the body’s weight with height, has been widely used and accepted as a simple method to classify medical risk by weight status. Several variables are thought to be correlated with obesity in Canadian children, adolescents, and adults. The objective of this project is to investigate the effect of sleep duration, leptin levels, and ghrelin levels on the prevalence of obesity in Canada. The number of hours spent sleeping per night and self-reported BMI data from the 2011-2012 Canadian Community Health Survey (CCHS) are analyzed. The CCHS covers approximately 98% of the Canadian population aged 12 and over. It is hypothesized that a lack of sleep and later bed times are associated with a greater daily energy intake, lower leptin levels, and higher ghrelin levels, ultimately leading to obesity. Data analysis indicates a negative correlation, thus the hypothesis is accepted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 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) | 0.003 | 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".