Influence of sleeping habits on adaptive thermogenesis during weight loss in adults
Bibliographic record
Abstract
Objective: To verify whether sleeping habits affect adaptive thermogenesis (i.e. greater than predicted decrease in resting energy expenditure, REE) in overweight and obese adults subjected to caloric restriction. Methods: A total of 123 overweight and obese men and women (mean ± SD age, 41.1 ± 6.0 years; mean ± SD body mass index, 33.2 ± 3.6 kg/m2) were tested before and 17.2 ± 3.7 weeks after dietary treatment (-300 kcal/day on average). Body fat mass (dual-energy X-ray absorptiometry), REE (indirect calorimetry) and sleep duration and quality (Pittsburgh Sleep Quality Index, PSQI) were assessed at both baseline and at the end of the weight loss program. Two sets of formula were used to predict changes in REE and the difference between the changes in the predicted REE from the reference equations and the changes in the measured REE were compared between sleep duration groups. Results: The mean weight loss of all participants over the dietary intervention was 5.9 ± 4.6 kg, 73% of which came from fat losses. The small dietary restriction led to a 57 kcal/day reduction in REE at the end of the weight-loss program (P5) and good (PSQI score = 5) sleepers. Conclusion: This study provides evidence that sleeping habits are not associated with a greater than predicted decrease in REE during weight loss in adults exposed to small caloric restriction.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".