Sleeping habits of individuals involved in a weight management program
Bibliographic record
Abstract
Background: Research supports a relationship between poor sleep quality and overweight/obesity. Poor sleep may impact on participation and outcomes of weight-management programs. Methods: This observational study assessed sleep quality, night eating, diet behaviours and physical activity, among participants in a group-based, primary care program, using the Pittsburgh Sleep Quality Index (PSQI), the Night Eating Questionnaire (NEQ), the Three Factor Eating Questionnaire (TFEQ) and pedometers respectively. Weight, height and waist circumference were measured. Data were collected at the beginning (n=86) and end (n=45) of the program. Results: At baseline, 82% of participants exhibited poor sleep; these individuals were in poorer general health, more likely to be taking sleep medication and had higher NEQ scores than good sleepers. Among program completers PSQI, NEQ and TFEQ scores significantly improved. Conclusions: Sleep problems are prevalent. Work is needed to understand whether improving sleep quality can impact the effectiveness of health behaviour change programs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".