Associations between Sleep Duration and Indicators of Cardiometabolic Disease in Canadian Children and Adolescents: Analyses of the 2007–2009 Canadian Health Measures Survey
Bibliographic record
Abstract
BACKGROUND: Indicators of cardiometabolic disease-including obesity, hyperinsulinemia, and dyslipidemia-are associated with an increased risk of cardiovascular disease and type 2 diabetes. Rates of obesity and type 2 diabetes in Canadian children and adolescents have increased rapidly in recent years; research exploring modifiable risk factors is critical. Experimental and epidemiological research demonstrates that partial sleep loss is linked with deteriorations in indicators of cardiometabolic health. The objectives of this study are (1) to examine associations between short sleep duration and indicators of cardiometabolic disease in Canadian children and adolescents and (2) to identify determinants of short sleep duration in this population. METHODS: Logistic regression models were developed to examine associations between sleep duration and indicators of cardiometabolic disease and to identify predictors of short sleep duration. RESULTS: Compared with longer sleepers, children and adolescents with short sleep duration had greater odds of being overweight or obese. Sex- and age-stratified analyses indicated that short sleep duration was linked with greater odds of overweight/obesity in boys and adolescents only. Short sleepers did not have greater odds of having hyperinsulinemia, low HDL cholesterol, or high triglycerides. Age was a strong predictor of inadequate sleep duration. CONCLUSION: Future studies should include longitudinal designs that address whether short sleep duration in boys and in adolescents contributes directly to the development of overweight and obesity.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 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".